TY - JOUR T1 - Obstructive sleep apnea and plasma natriuretic peptide levels in a community-based sample. JF - Sleep Y1 - 2006 A1 - Patwardhan, Anjali A A1 - Larson, Martin G A1 - Levy, Daniel A1 - Benjamin, Emelia J A1 - Leip, Eric P A1 - Keyes, Michelle J A1 - Wang, Thomas J A1 - Gottlieb, Daniel J A1 - Vasan, Ramachandran S KW - Atrial Fibrillation KW - Body Mass Index KW - Cohort Studies KW - Female KW - Humans KW - Hypertension KW - Male KW - Middle Aged KW - Myocardial Infarction KW - Natriuretic Peptides KW - Obesity KW - Polysomnography KW - Prevalence KW - Residence Characteristics KW - Severity of Illness Index KW - Sleep Apnea, Obstructive AB -

STUDY OBJECTIVES: We hypothesized that alterations in cardiac hemodynamics associated with obstructive sleep apnea-hypopnea (OSAH) would be reflected in higher natriuretic peptide levels. We examined the association of OSAH with natriuretic peptides in a community-based sample.

DESIGN: Cross-sectional, retrospective, observational study.

SETTING: Framingham Heart Study Offspring Cohort and Sleep Heart Health Study.

PARTICIPANTS: Community-based sample of 623 individuals.

MEASUREMENTS: Full-montage home polysomnography was used to determine apnea-hypopnea index (AHI) and percentage of time with an oxyhemoglobin saturation < 90% (PctLt90). Sensitive immunoradiometric assays were used to measure plasma B-type (BNP) and N-terminal pro-atrial natriuretic peptide (NT-ANP). Multivariable regression was used to examine the relations between natriuretic peptides and indicators of OSAH, adjusting for age, sex, body mass index, and clinical covariates.

RESULTS: No statistically significant relations between OSAH indices and BNP were observed in the multivariable model. Compared with an AHI < 5, relative levels of 1.20, 0.88, and 0.91 were observed forAHI categories 5-15, 15-30, >30 events per hour, respectively. For NT-ANP, no significant relations were seen with AHI in the multivariable model (relative levels of 0.98, 0.91, and 0.90). An inverse association was observed between NT-ANP and PctLt90 in age- and sex-adjusted models (relative levels of 0.93, 0.87, and 0.80), although this association became statistically nonsignificant after adjusting for body mass index.

CONCLUSION: Lack of association of natriuretic peptides with OSAH indices suggests that undiagnosed OSAH may not be associated with major alterations in left ventricular function, as reflected in morning natriuretic peptide levels.

VL - 29 IS - 10 U1 - https://www.ncbi.nlm.nih.gov/pubmed/17068983?dopt=Abstract ER - TY - JOUR T1 - Brachial artery diameter, blood flow and flow-mediated dilation in sleep-disordered breathing. JF - Vasc Med Y1 - 2009 A1 - Chami, Hassan A A1 - Keyes, Michelle J A1 - Vita, Joseph A A1 - Mitchell, Gary F A1 - Larson, Martin G A1 - Fan, Shuxia A1 - Vasan, Ramachandran S A1 - O'Connor, George T A1 - Benjamin, Emelia J A1 - Gottlieb, Daniel J KW - Adult KW - Aged KW - Aged, 80 and over KW - Blood Flow Velocity KW - Brachial Artery KW - Cross-Sectional Studies KW - Female KW - Humans KW - Hyperemia KW - Hypoxia KW - Laser-Doppler Flowmetry KW - Male KW - Middle Aged KW - Polysomnography KW - Regional Blood Flow KW - Severity of Illness Index KW - Sleep Apnea Syndromes KW - Ultrasonography KW - Vasodilation AB -

Clinic-based, case-control studies linked sleep-disordered breathing (SDB) to markers of endothelial dysfunction. We attempted to validate this association in a large community-based sample, and evaluate the relation of SDB to arterial diameter and peripheral blood flow. This community-based, cross-sectional observational study included 327 men and 355 women, aged 42-83 years, from the Framingham Heart Study site of the Sleep Heart Health Study. The polysomnographically derived apnea-hypopnea index and the hypoxemia index (percent sleep time with oxyhemoglobin saturation below 90%) were used to quantify the severity of SDB. Brachial artery ultrasound measurements included baseline diameter, percent flow-mediated dilation, and baseline and hyperemic flow velocity and volume. The baseline brachial artery diameter was significantly associated with both the apnea-hypopnea index and the hypoxemia index. The association was diminished by adjustment for body mass index, but remained significant for the apnea-hypopnea index. Age-, sex-, race- and body mass index-adjusted mean diameters were 4.32, 4.33, 4.33, 4.56, 4.53 mm for those with apnea-hypopnea index < 1.5, 1.5-4.9, 5-14.9, 15-29.9, >/= 30, respectively; p = 0.03. Baseline flow measures were associated with the apnea-hypopnea index but this association was non-significant after adjusting for body mass index. No significant association was observed between measures of SDB and percent flow-mediated dilation or hyperemic flow in any model. In conclusion, this study supports a moderate association of SDB and larger baseline brachial artery diameter, which may reflect SDB-induced vascular remodeling. This study does not support a link between SDB and endothelial dysfunction as measured by brachial artery flow-mediated dilation.

VL - 14 IS - 4 U1 - http://www.ncbi.nlm.nih.gov/pubmed/19808720?dopt=Abstract ER - TY - JOUR T1 - Genetic variants associated with cardiac structure and function: a meta-analysis and replication of genome-wide association data. JF - JAMA Y1 - 2009 A1 - Vasan, Ramachandran S A1 - Glazer, Nicole L A1 - Felix, Janine F A1 - Lieb, Wolfgang A1 - Wild, Philipp S A1 - Felix, Stephan B A1 - Watzinger, Norbert A1 - Larson, Martin G A1 - Smith, Nicholas L A1 - Dehghan, Abbas A1 - Grosshennig, Anika A1 - Schillert, Arne A1 - Teumer, Alexander A1 - Schmidt, Reinhold A1 - Kathiresan, Sekar A1 - Lumley, Thomas A1 - Aulchenko, Yurii S A1 - König, Inke R A1 - Zeller, Tanja A1 - Homuth, Georg A1 - Struchalin, Maksim A1 - Aragam, Jayashri A1 - Bis, Joshua C A1 - Rivadeneira, Fernando A1 - Erdmann, Jeanette A1 - Schnabel, Renate B A1 - Dörr, Marcus A1 - Zweiker, Robert A1 - Lind, Lars A1 - Rodeheffer, Richard J A1 - Greiser, Karin Halina A1 - Levy, Daniel A1 - Haritunians, Talin A1 - Deckers, Jaap W A1 - Stritzke, Jan A1 - Lackner, Karl J A1 - Völker, Uwe A1 - Ingelsson, Erik A1 - Kullo, Iftikhar A1 - Haerting, Johannes A1 - O'Donnell, Christopher J A1 - Heckbert, Susan R A1 - Stricker, Bruno H A1 - Ziegler, Andreas A1 - Reffelmann, Thorsten A1 - Redfield, Margaret M A1 - Werdan, Karl A1 - Mitchell, Gary F A1 - Rice, Kenneth A1 - Arnett, Donna K A1 - Hofman, Albert A1 - Gottdiener, John S A1 - Uitterlinden, André G A1 - Meitinger, Thomas A1 - Blettner, Maria A1 - Friedrich, Nele A1 - Wang, Thomas J A1 - Psaty, Bruce M A1 - van Duijn, Cornelia M A1 - Wichmann, H-Erich A1 - Munzel, Thomas F A1 - Kroemer, Heyo K A1 - Benjamin, Emelia J A1 - Rotter, Jerome I A1 - Witteman, Jacqueline C A1 - Schunkert, Heribert A1 - Schmidt, Helena A1 - Völzke, Henry A1 - Blankenberg, Stefan KW - Adult KW - Aged KW - Aged, 80 and over KW - Aorta KW - Cardiovascular Diseases KW - Echocardiography KW - European Continental Ancestry Group KW - Female KW - Genome-Wide Association Study KW - Genotype KW - Heart Atria KW - Heart Ventricles KW - Humans KW - Male KW - Middle Aged KW - Organ Size KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Risk Factors KW - Ventricular Dysfunction, Left KW - Ventricular Function, Left AB -

CONTEXT: Echocardiographic measures of left ventricular (LV) structure and function are heritable phenotypes of cardiovascular disease.

OBJECTIVE: To identify common genetic variants associated with cardiac structure and function by conducting a meta-analysis of genome-wide association data in 5 population-based cohort studies (stage 1) with replication (stage 2) in 2 other community-based samples.

DESIGN, SETTING, AND PARTICIPANTS: Within each of 5 community-based cohorts comprising the EchoGen consortium (stage 1; n = 12 612 individuals of European ancestry; 55% women, aged 26-95 years; examinations between 1978-2008), we estimated the association between approximately 2.5 million single-nucleotide polymorphisms (SNPs; imputed to the HapMap CEU panel) and echocardiographic traits. In stage 2, SNPs significantly associated with traits in stage 1 were tested for association in 2 other cohorts (n = 4094 people of European ancestry). Using a prespecified P value threshold of 5 x 10(-7) to indicate genome-wide significance, we performed an inverse variance-weighted fixed-effects meta-analysis of genome-wide association data from each cohort.

MAIN OUTCOME MEASURES: Echocardiographic traits: LV mass, internal dimensions, wall thickness, systolic dysfunction, aortic root, and left atrial size.

RESULTS: In stage 1, 16 genetic loci were associated with 5 echocardiographic traits: 1 each with LV internal dimensions and systolic dysfunction, 3 each with LV mass and wall thickness, and 8 with aortic root size. In stage 2, 5 loci replicated (6q22 locus associated with LV diastolic dimensions, explaining <1% of trait variance; 5q23, 12p12, 12q14, and 17p13 associated with aortic root size, explaining 1%-3% of trait variance).

CONCLUSIONS: We identified 5 genetic loci harboring common variants that were associated with variation in LV diastolic dimensions and aortic root size, but such findings explained a very small proportion of variance. Further studies are required to replicate these findings, identify the causal variants at or near these loci, characterize their functional significance, and determine whether they are related to overt cardiovascular disease.

VL - 302 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/19584346?dopt=Abstract ER - TY - JOUR T1 - Genome-wide association study of blood pressure and hypertension. JF - Nat Genet Y1 - 2009 A1 - Levy, Daniel A1 - Ehret, Georg B A1 - Rice, Kenneth A1 - Verwoert, Germaine C A1 - Launer, Lenore J A1 - Dehghan, Abbas A1 - Glazer, Nicole L A1 - Morrison, Alanna C A1 - Johnson, Andrew D A1 - Aspelund, Thor A1 - Aulchenko, Yurii A1 - Lumley, Thomas A1 - Köttgen, Anna A1 - Vasan, Ramachandran S A1 - Rivadeneira, Fernando A1 - Eiriksdottir, Gudny A1 - Guo, Xiuqing A1 - Arking, Dan E A1 - Mitchell, Gary F A1 - Mattace-Raso, Francesco U S A1 - Smith, Albert V A1 - Taylor, Kent A1 - Scharpf, Robert B A1 - Hwang, Shih-Jen A1 - Sijbrands, Eric J G A1 - Bis, Joshua A1 - Harris, Tamara B A1 - Ganesh, Santhi K A1 - O'Donnell, Christopher J A1 - Hofman, Albert A1 - Rotter, Jerome I A1 - Coresh, Josef A1 - Benjamin, Emelia J A1 - Uitterlinden, André G A1 - Heiss, Gerardo A1 - Fox, Caroline S A1 - Witteman, Jacqueline C M A1 - Boerwinkle, Eric A1 - Wang, Thomas J A1 - Gudnason, Vilmundur A1 - Larson, Martin G A1 - Chakravarti, Aravinda A1 - Psaty, Bruce M A1 - van Duijn, Cornelia M KW - Blood Pressure KW - Cell Line KW - Chromosome Mapping KW - Chromosomes, Human KW - Diastole KW - Gene Expression Regulation KW - Genetic Association Studies KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Liver KW - Lymphocytes KW - Meta-Analysis as Topic KW - Odds Ratio KW - Phenotype KW - Prevalence KW - Risk Assessment KW - Systole AB -

Blood pressure is a major cardiovascular disease risk factor. To date, few variants associated with interindividual blood pressure variation have been identified and replicated. Here we report results of a genome-wide association study of systolic (SBP) and diastolic (DBP) blood pressure and hypertension in the CHARGE Consortium (n = 29,136), identifying 13 SNPs for SBP, 20 for DBP and 10 for hypertension at P < 4 × 10(-7). The top ten loci for SBP and DBP were incorporated into a risk score; mean BP and prevalence of hypertension increased in relation to the number of risk alleles carried. When ten CHARGE SNPs for each trait were included in a joint meta-analysis with the Global BPgen Consortium (n = 34,433), four CHARGE loci attained genome-wide significance (P < 5 × 10(-8)) for SBP (ATP2B1, CYP17A1, PLEKHA7, SH2B3), six for DBP (ATP2B1, CACNB2, CSK-ULK3, SH2B3, TBX3-TBX5, ULK4) and one for hypertension (ATP2B1). Identifying genes associated with blood pressure advances our understanding of blood pressure regulation and highlights potential drug targets for the prevention or treatment of hypertension.

VL - 41 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/19430479?dopt=Abstract ER - TY - JOUR T1 - NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium. JF - PLoS Genet Y1 - 2009 A1 - Heard-Costa, Nancy L A1 - Zillikens, M Carola A1 - Monda, Keri L A1 - Johansson, Asa A1 - Harris, Tamara B A1 - Fu, Mao A1 - Haritunians, Talin A1 - Feitosa, Mary F A1 - Aspelund, Thor A1 - Eiriksdottir, Gudny A1 - Garcia, Melissa A1 - Launer, Lenore J A1 - Smith, Albert V A1 - Mitchell, Braxton D A1 - McArdle, Patrick F A1 - Shuldiner, Alan R A1 - Bielinski, Suzette J A1 - Boerwinkle, Eric A1 - Brancati, Fred A1 - Demerath, Ellen W A1 - Pankow, James S A1 - Arnold, Alice M A1 - Chen, Yii-Der Ida A1 - Glazer, Nicole L A1 - McKnight, Barbara A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Amin, Najaf A1 - Campbell, Harry A1 - Gyllensten, Ulf A1 - Pattaro, Cristian A1 - Pramstaller, Peter P A1 - Rudan, Igor A1 - Struchalin, Maksim A1 - Vitart, Veronique A1 - Gao, Xiaoyi A1 - Kraja, Aldi A1 - Province, Michael A A1 - Zhang, Qunyuan A1 - Atwood, Larry D A1 - Dupuis, Josée A1 - Hirschhorn, Joel N A1 - Jaquish, Cashell E A1 - O'Donnell, Christopher J A1 - Vasan, Ramachandran S A1 - White, Charles C A1 - Aulchenko, Yurii S A1 - Estrada, Karol A1 - Hofman, Albert A1 - Rivadeneira, Fernando A1 - Uitterlinden, André G A1 - Witteman, Jacqueline C M A1 - Oostra, Ben A A1 - Kaplan, Robert C A1 - Gudnason, Vilmundur A1 - O'Connell, Jeffrey R A1 - Borecki, Ingrid B A1 - van Duijn, Cornelia M A1 - Cupples, L Adrienne A1 - Fox, Caroline S A1 - North, Kari E KW - Aged KW - Body Mass Index KW - Cohort Studies KW - European Continental Ancestry Group KW - Female KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Male KW - Middle Aged KW - Nerve Tissue Proteins KW - Obesity KW - Polymorphism, Single Nucleotide KW - Waist Circumference AB -

Central abdominal fat is a strong risk factor for diabetes and cardiovascular disease. To identify common variants influencing central abdominal fat, we conducted a two-stage genome-wide association analysis for waist circumference (WC). In total, three loci reached genome-wide significance. In stage 1, 31,373 individuals of Caucasian descent from eight cohort studies confirmed the role of FTO and MC4R and identified one novel locus associated with WC in the neurexin 3 gene [NRXN3 (rs10146997, p = 6.4x10(-7))]. The association with NRXN3 was confirmed in stage 2 by combining stage 1 results with those from 38,641 participants in the GIANT consortium (p = 0.009 in GIANT only, p = 5.3x10(-8) for combined analysis, n = 70,014). Mean WC increase per copy of the G allele was 0.0498 z-score units (0.65 cm). This SNP was also associated with body mass index (BMI) [p = 7.4x10(-6), 0.024 z-score units (0.10 kg/m(2)) per copy of the G allele] and the risk of obesity (odds ratio 1.13, 95% CI 1.07-1.19; p = 3.2x10(-5) per copy of the G allele). The NRXN3 gene has been previously implicated in addiction and reward behavior, lending further evidence that common forms of obesity may be a central nervous system-mediated disorder. Our findings establish that common variants in NRXN3 are associated with WC, BMI, and obesity.

VL - 5 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/19557197?dopt=Abstract ER - TY - JOUR T1 - Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry. JF - Nat Genet Y1 - 2009 A1 - Benjamin, Emelia J A1 - Rice, Kenneth M A1 - Arking, Dan E A1 - Pfeufer, Arne A1 - van Noord, Charlotte A1 - Smith, Albert V A1 - Schnabel, Renate B A1 - Bis, Joshua C A1 - Boerwinkle, Eric A1 - Sinner, Moritz F A1 - Dehghan, Abbas A1 - Lubitz, Steven A A1 - D'Agostino, Ralph B A1 - Lumley, Thomas A1 - Ehret, Georg B A1 - Heeringa, Jan A1 - Aspelund, Thor A1 - Newton-Cheh, Christopher A1 - Larson, Martin G A1 - Marciante, Kristin D A1 - Soliman, Elsayed Z A1 - Rivadeneira, Fernando A1 - Wang, Thomas J A1 - Eiriksdottir, Gudny A1 - Levy, Daniel A1 - Psaty, Bruce M A1 - Li, Man A1 - Chamberlain, Alanna M A1 - Hofman, Albert A1 - Vasan, Ramachandran S A1 - Harris, Tamara B A1 - Rotter, Jerome I A1 - Kao, W H Linda A1 - Agarwal, Sunil K A1 - Stricker, Bruno H Ch A1 - Wang, Ke A1 - Launer, Lenore J A1 - Smith, Nicholas L A1 - Chakravarti, Aravinda A1 - Uitterlinden, André G A1 - Wolf, Philip A A1 - Sotoodehnia, Nona A1 - Köttgen, Anna A1 - van Duijn, Cornelia M A1 - Meitinger, Thomas A1 - Mueller, Martina A1 - Perz, Siegfried A1 - Steinbeck, Gerhard A1 - Wichmann, H-Erich A1 - Lunetta, Kathryn L A1 - Heckbert, Susan R A1 - Gudnason, Vilmundur A1 - Alonso, Alvaro A1 - Kääb, Stefan A1 - Ellinor, Patrick T A1 - Witteman, Jacqueline C M KW - Atrial Fibrillation KW - Chromosomes, Human, Pair 16 KW - European Continental Ancestry Group KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Homeodomain Proteins KW - Humans KW - Meta-Analysis as Topic KW - Mutation KW - Polymorphism, Single Nucleotide KW - Reproducibility of Results AB -

We conducted meta-analyses of genome-wide association studies for atrial fibrillation (AF) in participants from five community-based cohorts. Meta-analyses of 896 prevalent (15,768 referents) and 2,517 incident (21,337 referents) AF cases identified a new locus for AF (ZFHX3, rs2106261, risk ratio RR = 1.19; P = 2.3 x 10(-7)). We replicated this association in an independent cohort from the German AF Network (odds ratio = 1.44; P = 1.6 x 10(-11); combined RR = 1.25; combined P = 1.8 x 10(-15)).

VL - 41 IS - 8 U1 - http://www.ncbi.nlm.nih.gov/pubmed/19597492?dopt=Abstract ER - TY - JOUR T1 - Association of genome-wide variation with the risk of incident heart failure in adults of European and African ancestry: a prospective meta-analysis from the cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium. JF - Circ Cardiovasc Genet Y1 - 2010 A1 - Smith, Nicholas L A1 - Felix, Janine F A1 - Morrison, Alanna C A1 - Demissie, Serkalem A1 - Glazer, Nicole L A1 - Loehr, Laura R A1 - Cupples, L Adrienne A1 - Dehghan, Abbas A1 - Lumley, Thomas A1 - Rosamond, Wayne D A1 - Lieb, Wolfgang A1 - Rivadeneira, Fernando A1 - Bis, Joshua C A1 - Folsom, Aaron R A1 - Benjamin, Emelia A1 - Aulchenko, Yurii S A1 - Haritunians, Talin A1 - Couper, David A1 - Murabito, Joanne A1 - Wang, Ying A A1 - Stricker, Bruno H A1 - Gottdiener, John S A1 - Chang, Patricia P A1 - Wang, Thomas J A1 - Rice, Kenneth M A1 - Hofman, Albert A1 - Heckbert, Susan R A1 - Fox, Ervin R A1 - O'Donnell, Christopher J A1 - Uitterlinden, André G A1 - Rotter, Jerome I A1 - Willerson, James T A1 - Levy, Daniel A1 - van Duijn, Cornelia M A1 - Psaty, Bruce M A1 - Witteman, Jacqueline C M A1 - Boerwinkle, Eric A1 - Vasan, Ramachandran S KW - African Americans KW - Aged KW - Aged, 80 and over KW - Cohort Studies KW - Endopeptidases KW - European Continental Ancestry Group KW - Female KW - Genome-Wide Association Study KW - Heart Failure KW - Humans KW - Incidence KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Risk KW - Ubiquitin-Specific Proteases AB -

BACKGROUND: Although genetic factors contribute to the onset of heart failure (HF), no large-scale genome-wide investigation of HF risk has been published to date. We have investigated the association of 2,478,304 single-nucleotide polymorphisms with incident HF by meta-analyzing data from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study.

METHODS AND RESULTS: Eligible participants for these analyses were of European or African ancestry and free of clinical HF at baseline. Each study independently conducted genome-wide scans and imputed data to the approximately 2.5 million single-nucleotide polymorphisms in HapMap. Within each study, Cox proportional hazards regression models provided age- and sex-adjusted estimates of the association between each variant and time to incident HF. Fixed-effect meta-analyses combined results for each single-nucleotide polymorphism from the 4 cohorts to produce an overall association estimate and P value. A genome-wide significance P value threshold was set a priori at 5.0x10(-7). During a mean follow-up of 11.5 years, 2526 incident HF events (12%) occurred in 20 926 European-ancestry participants. The meta-analysis identified a genome-wide significant locus at chromosomal position 15q22 (1.4x10(-8)), which was 58.8 kb from USP3. Among 2895 African-ancestry participants, 466 incident HF events (16%) occurred during a mean follow-up of 13.7 years. One genome-wide significant locus was identified at 12q14 (6.7x10(-8)), which was 6.3 kb from LRIG3.

CONCLUSIONS: We identified 2 loci that were associated with incident HF and exceeded genome-wide significance. The findings merit replication in other community-based settings of incident HF.

VL - 3 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20445134?dopt=Abstract ER - TY - JOUR T1 - Candidate gene association resource (CARe): design, methods, and proof of concept. JF - Circ Cardiovasc Genet Y1 - 2010 A1 - Musunuru, Kiran A1 - Lettre, Guillaume A1 - Young, Taylor A1 - Farlow, Deborah N A1 - Pirruccello, James P A1 - Ejebe, Kenechi G A1 - Keating, Brendan J A1 - Yang, Qiong A1 - Chen, Ming-Huei A1 - Lapchyk, Nina A1 - Crenshaw, Andrew A1 - Ziaugra, Liuda A1 - Rachupka, Anthony A1 - Benjamin, Emelia J A1 - Cupples, L Adrienne A1 - Fornage, Myriam A1 - Fox, Ervin R A1 - Heckbert, Susan R A1 - Hirschhorn, Joel N A1 - Newton-Cheh, Christopher A1 - Nizzari, Marcia M A1 - Paltoo, Dina N A1 - Papanicolaou, George J A1 - Patel, Sanjay R A1 - Psaty, Bruce M A1 - Rader, Daniel J A1 - Redline, Susan A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Taylor, Herman A A1 - Tracy, Russell P A1 - Vasan, Ramachandran S A1 - Wilson, James G A1 - Kathiresan, Sekar A1 - Fabsitz, Richard R A1 - Boerwinkle, Eric A1 - Gabriel, Stacey B KW - African Americans KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Cohort Studies KW - Databases, Genetic KW - European Continental Ancestry Group KW - Genetic Association Studies KW - Genotype KW - Humans KW - Phenotype KW - Pilot Projects KW - Polymorphism, Single Nucleotide KW - Research Design KW - Triglycerides AB -

BACKGROUND: The National Heart, Lung, and Blood Institute's Candidate Gene Association Resource (CARe), a planned cross-cohort analysis of genetic variation in cardiovascular, pulmonary, hematologic, and sleep-related traits, comprises >40,000 participants representing 4 ethnic groups in 9 community-based cohorts. The goals of CARe include the discovery of new variants associated with traits using a candidate gene approach and the discovery of new variants using the genome-wide association mapping approach specifically in African Americans.

METHODS AND RESULTS: CARe has assembled DNA samples for >40,000 individuals self-identified as European American, African American, Hispanic, or Chinese American, with accompanying data on hundreds of phenotypes that have been standardized and deposited in the CARe Phenotype Database. All participants were genotyped for 7 single-nucleotide polymorphisms (SNPs) selected based on prior association evidence. We performed association analyses relating each of these SNPs to lipid traits, stratified by sex and ethnicity, and adjusted for age and age squared. In at least 2 of the ethnic groups, SNPs near CETP, LIPC, and LPL strongly replicated for association with high-density lipoprotein cholesterol concentrations, PCSK9 with low-density lipoprotein cholesterol levels, and LPL and APOA5 with serum triglycerides. Notably, some SNPs showed varying effect sizes and significance of association in different ethnic groups.

CONCLUSIONS: The CARe Pilot Study validates the operational framework for phenotype collection, SNP genotyping, and analytic pipeline of the CARe project and validates the planned candidate gene study of approximately 2000 biological candidate loci in all participants and genome-wide association study in approximately 8000 African American participants. CARe will serve as a valuable resource for the scientific community.

VL - 3 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20400780?dopt=Abstract ER - TY - JOUR T1 - Common genetic determinants of vitamin D insufficiency: a genome-wide association study. JF - Lancet Y1 - 2010 A1 - Wang, Thomas J A1 - Zhang, Feng A1 - Richards, J Brent A1 - Kestenbaum, Bryan A1 - van Meurs, Joyce B A1 - Berry, Diane A1 - Kiel, Douglas P A1 - Streeten, Elizabeth A A1 - Ohlsson, Claes A1 - Koller, Daniel L A1 - Peltonen, Leena A1 - Cooper, Jason D A1 - O'Reilly, Paul F A1 - Houston, Denise K A1 - Glazer, Nicole L A1 - Vandenput, Liesbeth A1 - Peacock, Munro A1 - Shi, Julia A1 - Rivadeneira, Fernando A1 - McCarthy, Mark I A1 - Anneli, Pouta A1 - de Boer, Ian H A1 - Mangino, Massimo A1 - Kato, Bernet A1 - Smyth, Deborah J A1 - Booth, Sarah L A1 - Jacques, Paul F A1 - Burke, Greg L A1 - Goodarzi, Mark A1 - Cheung, Ching-Lung A1 - Wolf, Myles A1 - Rice, Kenneth A1 - Goltzman, David A1 - Hidiroglou, Nick A1 - Ladouceur, Martin A1 - Wareham, Nicholas J A1 - Hocking, Lynne J A1 - Hart, Deborah A1 - Arden, Nigel K A1 - Cooper, Cyrus A1 - Malik, Suneil A1 - Fraser, William D A1 - Hartikainen, Anna-Liisa A1 - Zhai, Guangju A1 - Macdonald, Helen M A1 - Forouhi, Nita G A1 - Loos, Ruth J F A1 - Reid, David M A1 - Hakim, Alan A1 - Dennison, Elaine A1 - Liu, Yongmei A1 - Power, Chris A1 - Stevens, Helen E A1 - Jaana, Laitinen A1 - Vasan, Ramachandran S A1 - Soranzo, Nicole A1 - Bojunga, Jörg A1 - Psaty, Bruce M A1 - Lorentzon, Mattias A1 - Foroud, Tatiana A1 - Harris, Tamara B A1 - Hofman, Albert A1 - Jansson, John-Olov A1 - Cauley, Jane A A1 - Uitterlinden, André G A1 - Gibson, Quince A1 - Jarvelin, Marjo-Riitta A1 - Karasik, David A1 - Siscovick, David S A1 - Econs, Michael J A1 - Kritchevsky, Stephen B A1 - Florez, Jose C A1 - Todd, John A A1 - Dupuis, Josée A1 - Hyppönen, Elina A1 - Spector, Timothy D KW - Canada KW - Chromosomes, Human, Pair 11 KW - Chromosomes, Human, Pair 4 KW - Cohort Studies KW - Dietary Supplements KW - Europe KW - European Continental Ancestry Group KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Heterozygote KW - Homozygote KW - Humans KW - Immunoassay KW - International Cooperation KW - Linkage Disequilibrium KW - Polymorphism, Single Nucleotide KW - Seasons KW - United States KW - Vitamin D KW - Vitamin D Deficiency AB -

BACKGROUND: Vitamin D is crucial for maintenance of musculoskeletal health, and might also have a role in extraskeletal tissues. Determinants of circulating 25-hydroxyvitamin D concentrations include sun exposure and diet, but high heritability suggests that genetic factors could also play a part. We aimed to identify common genetic variants affecting vitamin D concentrations and risk of insufficiency.

METHODS: We undertook a genome-wide association study of 25-hydroxyvitamin D concentrations in 33 996 individuals of European descent from 15 cohorts. Five epidemiological cohorts were designated as discovery cohorts (n=16 125), five as in-silico replication cohorts (n=9367), and five as de-novo replication cohorts (n=8504). 25-hydroxyvitamin D concentrations were measured by radioimmunoassay, chemiluminescent assay, ELISA, or mass spectrometry. Vitamin D insufficiency was defined as concentrations lower than 75 nmol/L or 50 nmol/L. We combined results of genome-wide analyses across cohorts using Z-score-weighted meta-analysis. Genotype scores were constructed for confirmed variants.

FINDINGS: Variants at three loci reached genome-wide significance in discovery cohorts for association with 25-hydroxyvitamin D concentrations, and were confirmed in replication cohorts: 4p12 (overall p=1.9x10(-109) for rs2282679, in GC); 11q12 (p=2.1x10(-27) for rs12785878, near DHCR7); and 11p15 (p=3.3x10(-20) for rs10741657, near CYP2R1). Variants at an additional locus (20q13, CYP24A1) were genome-wide significant in the pooled sample (p=6.0x10(-10) for rs6013897). Participants with a genotype score (combining the three confirmed variants) in the highest quartile were at increased risk of having 25-hydroxyvitamin D concentrations lower than 75 nmol/L (OR 2.47, 95% CI 2.20-2.78, p=2.3x10(-48)) or lower than 50 nmol/L (1.92, 1.70-2.16, p=1.0x10(-26)) compared with those in the lowest quartile.

INTERPRETATION: Variants near genes involved in cholesterol synthesis, hydroxylation, and vitamin D transport affect vitamin D status. Genetic variation at these loci identifies individuals who have substantially raised risk of vitamin D insufficiency.

FUNDING: Full funding sources listed at end of paper (see Acknowledgments).

VL - 376 IS - 9736 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20541252?dopt=Abstract ER - TY - JOUR T1 - Common variants in KCNN3 are associated with lone atrial fibrillation. JF - Nat Genet Y1 - 2010 A1 - Ellinor, Patrick T A1 - Lunetta, Kathryn L A1 - Glazer, Nicole L A1 - Pfeufer, Arne A1 - Alonso, Alvaro A1 - Chung, Mina K A1 - Sinner, Moritz F A1 - de Bakker, Paul I W A1 - Mueller, Martina A1 - Lubitz, Steven A A1 - Fox, Ervin A1 - Darbar, Dawood A1 - Smith, Nicholas L A1 - Smith, Jonathan D A1 - Schnabel, Renate B A1 - Soliman, Elsayed Z A1 - Rice, Kenneth M A1 - Van Wagoner, David R A1 - Beckmann, Britt-M A1 - van Noord, Charlotte A1 - Wang, Ke A1 - Ehret, Georg B A1 - Rotter, Jerome I A1 - Hazen, Stanley L A1 - Steinbeck, Gerhard A1 - Smith, Albert V A1 - Launer, Lenore J A1 - Harris, Tamara B A1 - Makino, Seiko A1 - Nelis, Mari A1 - Milan, David J A1 - Perz, Siegfried A1 - Esko, Tõnu A1 - Köttgen, Anna A1 - Moebus, Susanne A1 - Newton-Cheh, Christopher A1 - Li, Man A1 - Möhlenkamp, Stefan A1 - Wang, Thomas J A1 - Kao, W H Linda A1 - Vasan, Ramachandran S A1 - Nöthen, Markus M A1 - MacRae, Calum A A1 - Stricker, Bruno H Ch A1 - Hofman, Albert A1 - Uitterlinden, André G A1 - Levy, Daniel A1 - Boerwinkle, Eric A1 - Metspalu, Andres A1 - Topol, Eric J A1 - Chakravarti, Aravinda A1 - Gudnason, Vilmundur A1 - Psaty, Bruce M A1 - Roden, Dan M A1 - Meitinger, Thomas A1 - Wichmann, H-Erich A1 - Witteman, Jacqueline C M A1 - Barnard, John A1 - Arking, Dan E A1 - Benjamin, Emelia J A1 - Heckbert, Susan R A1 - Kääb, Stefan KW - Adolescent KW - Adult KW - Aged KW - Atrial Fibrillation KW - Case-Control Studies KW - Cohort Studies KW - Female KW - Genome-Wide Association Study KW - Humans KW - Introns KW - Male KW - Meta-Analysis as Topic KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Small-Conductance Calcium-Activated Potassium Channels KW - Young Adult AB -

Atrial fibrillation (AF) is the most common sustained arrhythmia. Previous studies have identified several genetic loci associated with typical AF. We sought to identify common genetic variants underlying lone AF. This condition affects a subset of individuals without overt heart disease and with an increased heritability of AF. We report a meta-analysis of genome-wide association studies conducted using 1,335 individuals with lone AF (cases) and 12,844 unaffected individuals (referents). Cases were obtained from the German AF Network, Heart and Vascular Health Study, the Atherosclerosis Risk in Communities Study, the Cleveland Clinic and Massachusetts General Hospital. We identified an association on chromosome 1q21 to lone AF (rs13376333, adjusted odds ratio = 1.56; P = 6.3 x 10(-12)), and we replicated this association in two independent cohorts with lone AF (overall combined odds ratio = 1.52, 95% CI 1.40-1.64; P = 1.83 x 10(-21)). rs13376333 is intronic to KCNN3, which encodes a potassium channel protein involved in atrial repolarization.

VL - 42 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20173747?dopt=Abstract ER - TY - JOUR T1 - Genome-wide association identifies OBFC1 as a locus involved in human leukocyte telomere biology. JF - Proc Natl Acad Sci U S A Y1 - 2010 A1 - Levy, Daniel A1 - Neuhausen, Susan L A1 - Hunt, Steven C A1 - Kimura, Masayuki A1 - Hwang, Shih-Jen A1 - Chen, Wei A1 - Bis, Joshua C A1 - Fitzpatrick, Annette L A1 - Smith, Erin A1 - Johnson, Andrew D A1 - Gardner, Jeffrey P A1 - Srinivasan, Sathanur R A1 - Schork, Nicholas A1 - Rotter, Jerome I A1 - Herbig, Utz A1 - Psaty, Bruce M A1 - Sastrasinh, Malinee A1 - Murray, Sarah S A1 - Vasan, Ramachandran S A1 - Province, Michael A A1 - Glazer, Nicole L A1 - Lu, Xiaobin A1 - Cao, Xiaojian A1 - Kronmal, Richard A1 - Mangino, Massimo A1 - Soranzo, Nicole A1 - Spector, Tim D A1 - Berenson, Gerald S A1 - Aviv, Abraham KW - Cohort Studies KW - Genome-Wide Association Study KW - Genotype KW - Humans KW - Leukocytes KW - Polymorphism, Single Nucleotide KW - Receptors, CXCR4 KW - Telomere KW - Telomere-Binding Proteins AB -

Telomeres are engaged in a host of cellular functions, and their length is regulated by multiple genes. Telomere shortening, in the course of somatic cell replication, ultimately leads to replicative senescence. In humans, rare mutations in genes that regulate telomere length have been identified in monogenic diseases such as dyskeratosis congenita and idiopathic pulmonary fibrosis, which are associated with shortened leukocyte telomere length (LTL) and increased risk for aplastic anemia. Shortened LTL is observed in a host of aging-related complex genetic diseases and is associated with diminished survival in the elderly. We report results of a genome-wide association study of LTL in a consortium of four observational studies (n = 3,417 participants with LTL and genome-wide genotyping). SNPs in the regions of the oligonucleotide/oligosaccharide-binding folds containing one gene (OBFC1; rs4387287; P = 3.9 x 10(-9)) and chemokine (C-X-C motif) receptor 4 gene (CXCR4; rs4452212; P = 2.9 x 10(-8)) were associated with LTL at a genome-wide significance level (P < 5 x 10(-8)). We attempted replication of the top SNPs at these loci through de novo genotyping of 1,893 additional individuals and in silico lookup in another observational study (n = 2,876), and we confirmed the association findings for OBFC1 but not CXCR4. In addition, we confirmed the telomerase RNA component (TERC) as a gene associated with LTL (P = 1.1 x 10(-5)). The identification of OBFC1 through genome-wide association as a locus for interindividual variation in LTL in the general population advances the understanding of telomere biology in humans and may provide insights into aging-related disorders linked to altered LTL dynamics.

VL - 107 IS - 20 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20421499?dopt=Abstract ER - TY - JOUR T1 - Genome-wide association study of PR interval. JF - Nat Genet Y1 - 2010 A1 - Pfeufer, Arne A1 - van Noord, Charlotte A1 - Marciante, Kristin D A1 - Arking, Dan E A1 - Larson, Martin G A1 - Smith, Albert Vernon A1 - Tarasov, Kirill V A1 - Müller, Martina A1 - Sotoodehnia, Nona A1 - Sinner, Moritz F A1 - Verwoert, Germaine C A1 - Li, Man A1 - Kao, W H Linda A1 - Köttgen, Anna A1 - Coresh, Josef A1 - Bis, Joshua C A1 - Psaty, Bruce M A1 - Rice, Kenneth A1 - Rotter, Jerome I A1 - Rivadeneira, Fernando A1 - Hofman, Albert A1 - Kors, Jan A A1 - Stricker, Bruno H C A1 - Uitterlinden, André G A1 - van Duijn, Cornelia M A1 - Beckmann, Britt M A1 - Sauter, Wiebke A1 - Gieger, Christian A1 - Lubitz, Steven A A1 - Newton-Cheh, Christopher A1 - Wang, Thomas J A1 - Magnani, Jared W A1 - Schnabel, Renate B A1 - Chung, Mina K A1 - Barnard, John A1 - Smith, Jonathan D A1 - Van Wagoner, David R A1 - Vasan, Ramachandran S A1 - Aspelund, Thor A1 - Eiriksdottir, Gudny A1 - Harris, Tamara B A1 - Launer, Lenore J A1 - Najjar, Samer S A1 - Lakatta, Edward A1 - Schlessinger, David A1 - Uda, Manuela A1 - Abecasis, Goncalo R A1 - Müller-Myhsok, Bertram A1 - Ehret, Georg B A1 - Boerwinkle, Eric A1 - Chakravarti, Aravinda A1 - Soliman, Elsayed Z A1 - Lunetta, Kathryn L A1 - Perz, Siegfried A1 - Wichmann, H-Erich A1 - Meitinger, Thomas A1 - Levy, Daniel A1 - Gudnason, Vilmundur A1 - Ellinor, Patrick T A1 - Sanna, Serena A1 - Kääb, Stefan A1 - Witteman, Jacqueline C M A1 - Alonso, Alvaro A1 - Benjamin, Emelia J A1 - Heckbert, Susan R KW - Aged KW - Atrial Fibrillation KW - Cohort Studies KW - Electrocardiography KW - Female KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Heart Conduction System KW - Humans KW - Male KW - Meta-Analysis as Topic AB -

The electrocardiographic PR interval (or PQ interval) reflects atrial and atrioventricular nodal conduction, disturbances of which increase risk of atrial fibrillation. We report a meta-analysis of genome-wide association studies for PR interval from seven population-based European studies in the CHARGE Consortium: AGES, ARIC, CHS, FHS, KORA, Rotterdam Study, and SardiNIA (N = 28,517). We identified nine loci associated with PR interval at P < 5 x 10(-8). At the 3p22.2 locus, we observed two independent associations in voltage-gated sodium channel genes, SCN10A and SCN5A. Six of the loci were near cardiac developmental genes, including CAV1-CAV2, NKX2-5 (CSX1), SOX5, WNT11, MEIS1, and TBX5-TBX3, providing pathophysiologically interesting candidate genes. Five of the loci, SCN5A, SCN10A, NKX2-5, CAV1-CAV2, and SOX5, were also associated with atrial fibrillation (N = 5,741 cases, P < 0.0056). This suggests a role for common variation in ion channel and developmental genes in atrial and atrioventricular conduction as well as in susceptibility to atrial fibrillation.

VL - 42 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20062060?dopt=Abstract ER - TY - JOUR T1 - Genomic variation associated with mortality among adults of European and African ancestry with heart failure: the cohorts for heart and aging research in genomic epidemiology consortium. JF - Circ Cardiovasc Genet Y1 - 2010 A1 - Morrison, Alanna C A1 - Felix, Janine F A1 - Cupples, L Adrienne A1 - Glazer, Nicole L A1 - Loehr, Laura R A1 - Dehghan, Abbas A1 - Demissie, Serkalem A1 - Bis, Joshua C A1 - Rosamond, Wayne D A1 - Aulchenko, Yurii S A1 - Wang, Ying A A1 - Haritunians, Talin A1 - Folsom, Aaron R A1 - Rivadeneira, Fernando A1 - Benjamin, Emelia J A1 - Lumley, Thomas A1 - Couper, David A1 - Stricker, Bruno H A1 - O'Donnell, Christopher J A1 - Rice, Kenneth M A1 - Chang, Patricia P A1 - Hofman, Albert A1 - Levy, Daniel A1 - Rotter, Jerome I A1 - Fox, Ervin R A1 - Uitterlinden, André G A1 - Wang, Thomas J A1 - Psaty, Bruce M A1 - Willerson, James T A1 - van Duijn, Cornelia M A1 - Boerwinkle, Eric A1 - Witteman, Jacqueline C M A1 - Vasan, Ramachandran S A1 - Smith, Nicholas L KW - African Americans KW - Aged KW - Aged, 80 and over KW - Chemokines KW - Cohort Studies KW - European Continental Ancestry Group KW - Female KW - Genome-Wide Association Study KW - Genotype KW - Heart Failure KW - Humans KW - Introns KW - Male KW - MARVEL Domain-Containing Proteins KW - Membrane Proteins KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Risk Factors AB -

BACKGROUND: Prognosis and survival are significant concerns for individuals with heart failure (HF). To better understand the pathophysiology of HF prognosis, the association between 2,366,858 single-nucleotide polymorphisms (SNPs) and all-cause mortality was evaluated among individuals with incident HF from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study.

METHODS AND RESULTS: Participants were 2526 individuals of European ancestry and 466 individuals of African ancestry who experienced an incident HF event during follow-up in the respective cohorts. Within each study, the association between genetic variants and time to mortality among individuals with HF was assessed by Cox proportional hazards models that included adjustment for sex and age at the time of the HF event. Prospective fixed-effect meta-analyses were conducted for the 4 study populations of European ancestry (N=1645 deaths) and for the 2 populations of African ancestry (N=281 deaths). Genome-wide significance was set at P=5.0x10(-7). Meta-analytic findings among individuals of European ancestry revealed 1 genome-wide significant locus on chromosome 3p22 in an intron of CKLF-like MARVEL transmembrane domain containing 7 (CMTM7, P=3.2x10(-7)). Eight additional loci in individuals of European ancestry and 4 loci in individuals of African ancestry were identified by high-signal SNPs (P<1.0x10(-5)) but did not meet genome-wide significance.

CONCLUSIONS: This study identified a novel locus associated with all-cause mortality among individuals of European ancestry with HF. This finding warrants additional investigation, including replication, in other studies of HF.

VL - 3 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20400778?dopt=Abstract ER - TY - JOUR T1 - Large-scale genomic studies reveal central role of ABO in sP-selectin and sICAM-1 levels. JF - Hum Mol Genet Y1 - 2010 A1 - Barbalic, Maja A1 - Dupuis, Josée A1 - Dehghan, Abbas A1 - Bis, Joshua C A1 - Hoogeveen, Ron C A1 - Schnabel, Renate B A1 - Nambi, Vijay A1 - Bretler, Monique A1 - Smith, Nicholas L A1 - Peters, Annette A1 - Lu, Chen A1 - Tracy, Russell P A1 - Aleksic, Nena A1 - Heeriga, Jan A1 - Keaney, John F A1 - Rice, Kenneth A1 - Lip, Gregory Y H A1 - Vasan, Ramachandran S A1 - Glazer, Nicole L A1 - Larson, Martin G A1 - Uitterlinden, André G A1 - Yamamoto, Jennifer A1 - Durda, Peter A1 - Haritunians, Talin A1 - Psaty, Bruce M A1 - Boerwinkle, Eric A1 - Hofman, Albert A1 - Koenig, Wolfgang A1 - Jenny, Nancy S A1 - Witteman, Jacqueline C A1 - Ballantyne, Christie A1 - Benjamin, Emelia J KW - ABO Blood-Group System KW - Blood Platelets KW - Enzyme-Linked Immunosorbent Assay KW - European Continental Ancestry Group KW - Fluorescence KW - Genome-Wide Association Study KW - Humans KW - Intercellular Adhesion Molecule-1 KW - P-Selectin AB -

P-selectin and intercellular adhesion molecule-1 (ICAM-1) participate in inflammatory processes by promoting adhesion of leukocytes to vascular wall endothelium. Their soluble levels have been associated with adverse cardiovascular events. To identify loci affecting soluble levels of P-selectin (sP-selectin) and ICAM-1 (sICAM-1), we performed a genome-wide association study in a sample of 4115 (sP-selectin) and 9813 (sICAM-1) individuals of European ancestry as a part of The Cohorts for Heart and Aging Research in Genome Epidemiology consortium. The most significant SNP association for sP-selectin was within the SELP gene (rs6136, P = 4.05 x 10(-61)) and for sICAM-1 levels within the ICAM-1 gene (rs3093030, P = 3.53 x 10(-23)). Both sP-selectin and sICAM-1 were associated with ABO gene variants (rs579459, P = 1.86 x 10(-41) and rs649129, P = 1.22 x 10(-15), respectively) and in both cases the observed associations could be accounted for by the A1 allele of the ABO blood group. The absence of an association between ABO blood group and platelet-bound P-selectin levels in an independent subsample (N = 1088) from the ARIC study, suggests that the ABO blood group may influence cleavage of the P-selectin protein from the cell surface or clearance from the circulation, rather than its production and cellular presentation. These results provide new insights into adhesion molecule biology.

VL - 19 IS - 9 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20167578?dopt=Abstract ER - TY - JOUR T1 - Validation of an atrial fibrillation risk algorithm in whites and African Americans. JF - Arch Intern Med Y1 - 2010 A1 - Schnabel, Renate B A1 - Aspelund, Thor A1 - Li, Guo A1 - Sullivan, Lisa M A1 - Suchy-Dicey, Astrid A1 - Harris, Tamara B A1 - Pencina, Michael J A1 - D'Agostino, Ralph B A1 - Levy, Daniel A1 - Kannel, William B A1 - Wang, Thomas J A1 - Kronmal, Richard A A1 - Wolf, Philip A A1 - Burke, Gregory L A1 - Launer, Lenore J A1 - Vasan, Ramachandran S A1 - Psaty, Bruce M A1 - Benjamin, Emelia J A1 - Gudnason, Vilmundur A1 - Heckbert, Susan R KW - African Continental Ancestry Group KW - Age Factors KW - Aged KW - Aged, 80 and over KW - Algorithms KW - Atrial Fibrillation KW - Blood Pressure KW - Body Mass Index KW - Cohort Studies KW - Electrocardiography KW - Europe KW - European Continental Ancestry Group KW - Female KW - Follow-Up Studies KW - Heart Failure KW - Humans KW - Hypertension KW - Incidence KW - Kaplan-Meier Estimate KW - Male KW - Middle Aged KW - Proportional Hazards Models KW - Risk Factors KW - Sex Factors KW - Systole KW - United States AB -

BACKGROUND: We sought to validate a recently published risk algorithm for incident atrial fibrillation (AF) in independent cohorts and other racial groups.

METHODS: We evaluated the performance of a Framingham Heart Study (FHS)-derived risk algorithm modified for 5-year incidence of AF in the FHS (n = 4764 participants) and 2 geographically and racially diverse cohorts in the age range 45 to 95 years: AGES (the Age, Gene/Environment Susceptibility-Reykjavik Study) (n = 4238) and CHS (the Cardiovascular Health Study) (n = 5410, of whom 874 [16.2%] were African Americans). The risk algorithm included age, sex, body mass index, systolic blood pressure, electrocardiographic PR interval, hypertension treatment, and heart failure.

RESULTS: We found 1359 incident AF events in 100 074 person-years of follow-up. Unadjusted 5-year event rates differed by cohort (AGES, 12.8 cases/1000 person-years; CHS whites, 22.7 cases/1000 person-years; and FHS, 4.5 cases/1000 person-years) and by race (CHS African Americans, 18.4 cases/1000 person-years). The strongest risk factors in all samples were age and heart failure. The relative risks for incident AF associated with risk factors were comparable across cohorts and race groups. After recalibration for baseline incidence and risk factor distribution, the Framingham algorithm, reported in C statistic, performed reasonably well in all samples: AGES, 0.67 (95% confidence interval [CI], 0.64-0.71); CHS whites, 0.68 (95% CI, 0.66-0.70); and CHS African Americans, 0.66 (95% CI, 0.61-0.71). Risk factors combined in the algorithm explained between 47.0% (AGES) and 63.6% (FHS) of the population-attributable risk.

CONCLUSIONS: Risk of incident AF in community-dwelling whites and African Americans can be assessed reliably by routinely available and potentially modifiable clinical variables. Seven risk factors accounted for up to 64% of risk.

VL - 170 IS - 21 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21098350?dopt=Abstract ER - TY - JOUR T1 - Validation of the health ABC heart failure model for incident heart failure risk prediction: the Cardiovascular Health Study. JF - Circ Heart Fail Y1 - 2010 A1 - Kalogeropoulos, Andreas A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Georgiopoulou, Vasiliki A1 - Smith, Andrew L A1 - Smith, Nicholas L A1 - Kritchevsky, Stephen B A1 - Wilson, Peter W F A1 - Newman, Anne B A1 - Harris, Tamara B A1 - Butler, Javed KW - Age Distribution KW - Aged KW - Aged, 80 and over KW - Cause of Death KW - Cohort Studies KW - Confidence Intervals KW - Disease Progression KW - Echocardiography, Doppler KW - Female KW - Heart Failure KW - Humans KW - Incidence KW - Male KW - Models, Statistical KW - Predictive Value of Tests KW - Prognosis KW - Severity of Illness Index KW - Sex Distribution KW - Survival Analysis KW - United States AB -

BACKGROUND: The recently developed and internally validated Health ABC HF model uses 9 routinely available clinical variables to determine incident heart failure risk. In this study, we sought to externally validate the Health ABC HF model.

METHODS AND RESULTS: Observed 5-year incidence of heart failure, defined as first hospitalization for new-onset heart failure, was compared with 5-year risk estimates derived from the Health ABC HF model among participants without heart failure at baseline in the Cardiovascular Health Study. During follow-up, 400 of 5335 (7.5%) participants developed heart failure over 5 years versus 364 (6.8%) predicted by the Health ABC HF model (predicted-to-observed ratio, 0.90). Observed versus predicted 5-year heart failure probabilities were 3.2% versus 2.8%, 9.0% versus 7.0%, 15.9% versus 13.7%, and 24.6% versus 30.8% for the <5%, 5% to 10%, 10% to 20%, and >20% 5-year risk categories, respectively. The Hosmer-Lemeshow chi(2) was 14.72 (degrees of freedom, 10; P=0.14), and the C index was 0.74 (95% CI, 0.72 to 0.76). Calibration and discrimination demonstrated adequate performance across sex and race overall; however, risk was underestimated in white men, especially in the 5% to 10% risk category. Model performance was optimal when participants with normal left ventricular function at baseline were assessed separately. Performance was consistent across age groups. Analyses with death as a competing risk yielded similar results.

CONCLUSIONS: The Health ABC HF model adequately predicted 5-year heart failure risk in a large community-based study, providing support for the external validity of the model. This tool may be used to identify individuals to whom to target heart failure prevention efforts.

VL - 3 IS - 4 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20427700?dopt=Abstract ER - TY - JOUR T1 - Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. JF - Nature Y1 - 2011 A1 - Ehret, Georg B A1 - Munroe, Patricia B A1 - Rice, Kenneth M A1 - Bochud, Murielle A1 - Johnson, Andrew D A1 - Chasman, Daniel I A1 - Smith, Albert V A1 - Tobin, Martin D A1 - Verwoert, Germaine C A1 - Hwang, Shih-Jen A1 - Pihur, Vasyl A1 - Vollenweider, Peter A1 - O'Reilly, Paul F A1 - Amin, Najaf A1 - Bragg-Gresham, Jennifer L A1 - Teumer, Alexander A1 - Glazer, Nicole L A1 - Launer, Lenore A1 - Zhao, Jing Hua A1 - Aulchenko, Yurii A1 - Heath, Simon A1 - Sõber, Siim A1 - Parsa, Afshin A1 - Luan, Jian'an A1 - Arora, Pankaj A1 - Dehghan, Abbas A1 - Zhang, Feng A1 - Lucas, Gavin A1 - Hicks, Andrew A A1 - Jackson, Anne U A1 - Peden, John F A1 - Tanaka, Toshiko A1 - Wild, Sarah H A1 - Rudan, Igor A1 - Igl, Wilmar A1 - Milaneschi, Yuri A1 - Parker, Alex N A1 - Fava, Cristiano A1 - Chambers, John C A1 - Fox, Ervin R A1 - Kumari, Meena A1 - Go, Min Jin A1 - van der Harst, Pim A1 - Kao, Wen Hong Linda A1 - Sjögren, Marketa A1 - Vinay, D G A1 - Alexander, Myriam A1 - Tabara, Yasuharu A1 - Shaw-Hawkins, Sue A1 - Whincup, Peter H A1 - Liu, Yongmei A1 - Shi, Gang A1 - Kuusisto, Johanna A1 - Tayo, Bamidele A1 - Seielstad, Mark A1 - Sim, Xueling A1 - Nguyen, Khanh-Dung Hoang A1 - Lehtimäki, Terho A1 - Matullo, Giuseppe A1 - Wu, Ying A1 - Gaunt, Tom R A1 - Onland-Moret, N Charlotte A1 - Cooper, Matthew N A1 - Platou, Carl G P A1 - Org, Elin A1 - Hardy, Rebecca A1 - Dahgam, Santosh A1 - Palmen, Jutta A1 - Vitart, Veronique A1 - Braund, Peter S A1 - Kuznetsova, Tatiana A1 - Uiterwaal, Cuno S P M A1 - Adeyemo, Adebowale A1 - Palmas, Walter A1 - Campbell, Harry A1 - Ludwig, Barbara A1 - Tomaszewski, Maciej A1 - Tzoulaki, Ioanna A1 - Palmer, Nicholette D A1 - Aspelund, Thor A1 - Garcia, Melissa A1 - Chang, Yen-Pei C A1 - O'Connell, Jeffrey R A1 - Steinle, Nanette I A1 - Grobbee, Diederick E A1 - Arking, Dan E A1 - Kardia, Sharon L A1 - Morrison, Alanna C A1 - Hernandez, Dena A1 - Najjar, Samer A1 - McArdle, Wendy L A1 - Hadley, David A1 - Brown, Morris J A1 - Connell, John M A1 - Hingorani, Aroon D A1 - Day, Ian N M A1 - Lawlor, Debbie A A1 - Beilby, John P A1 - Lawrence, Robert W A1 - Clarke, Robert A1 - Hopewell, Jemma C A1 - Ongen, Halit A1 - Dreisbach, Albert W A1 - Li, Yali A1 - Young, J Hunter A1 - Bis, Joshua C A1 - Kähönen, Mika A1 - Viikari, Jorma A1 - Adair, Linda S A1 - Lee, Nanette R A1 - Chen, Ming-Huei A1 - Olden, Matthias A1 - Pattaro, Cristian A1 - Bolton, Judith A Hoffman A1 - Köttgen, Anna A1 - Bergmann, Sven A1 - Mooser, Vincent A1 - Chaturvedi, Nish A1 - Frayling, Timothy M A1 - Islam, Muhammad A1 - Jafar, Tazeen H A1 - Erdmann, Jeanette A1 - Kulkarni, Smita R A1 - Bornstein, Stefan R A1 - Grässler, Jürgen A1 - Groop, Leif A1 - Voight, Benjamin F A1 - Kettunen, Johannes A1 - Howard, Philip A1 - Taylor, Andrew A1 - Guarrera, Simonetta A1 - Ricceri, Fulvio A1 - Emilsson, Valur A1 - Plump, Andrew A1 - Barroso, Inês A1 - Khaw, Kay-Tee A1 - Weder, Alan B A1 - Hunt, Steven C A1 - Sun, Yan V A1 - Bergman, Richard N A1 - Collins, Francis S A1 - Bonnycastle, Lori L A1 - Scott, Laura J A1 - Stringham, Heather M A1 - Peltonen, Leena A1 - Perola, Markus A1 - Vartiainen, Erkki A1 - Brand, Stefan-Martin A1 - Staessen, Jan A A1 - Wang, Thomas J A1 - Burton, Paul R A1 - Soler Artigas, Maria A1 - Dong, Yanbin A1 - Snieder, Harold A1 - Wang, Xiaoling A1 - Zhu, Haidong A1 - Lohman, Kurt K A1 - Rudock, Megan E A1 - Heckbert, Susan R A1 - Smith, Nicholas L A1 - Wiggins, Kerri L A1 - Doumatey, Ayo A1 - Shriner, Daniel A1 - Veldre, Gudrun A1 - Viigimaa, Margus A1 - Kinra, Sanjay A1 - Prabhakaran, Dorairaj A1 - Tripathy, Vikal A1 - Langefeld, Carl D A1 - Rosengren, Annika A1 - Thelle, Dag S A1 - Corsi, Anna Maria A1 - Singleton, Andrew A1 - Forrester, Terrence A1 - Hilton, Gina A1 - McKenzie, Colin A A1 - Salako, Tunde A1 - Iwai, Naoharu A1 - Kita, Yoshikuni A1 - Ogihara, Toshio A1 - Ohkubo, Takayoshi A1 - Okamura, Tomonori A1 - Ueshima, Hirotsugu A1 - Umemura, Satoshi A1 - Eyheramendy, Susana A1 - Meitinger, Thomas A1 - Wichmann, H-Erich A1 - Cho, Yoon Shin A1 - Kim, Hyung-Lae A1 - Lee, Jong-Young A1 - Scott, James A1 - Sehmi, Joban S A1 - Zhang, Weihua A1 - Hedblad, Bo A1 - Nilsson, Peter A1 - Smith, George Davey A1 - Wong, Andrew A1 - Narisu, Narisu A1 - Stančáková, Alena A1 - Raffel, Leslie J A1 - Yao, Jie A1 - Kathiresan, Sekar A1 - O'Donnell, Christopher J A1 - Schwartz, Stephen M A1 - Ikram, M Arfan A1 - Longstreth, W T A1 - Mosley, Thomas H A1 - Seshadri, Sudha A1 - Shrine, Nick R G A1 - Wain, Louise V A1 - Morken, Mario A A1 - Swift, Amy J A1 - Laitinen, Jaana A1 - Prokopenko, Inga A1 - Zitting, Paavo A1 - Cooper, Jackie A A1 - Humphries, Steve E A1 - Danesh, John A1 - Rasheed, Asif A1 - Goel, Anuj A1 - Hamsten, Anders A1 - Watkins, Hugh A1 - Bakker, Stephan J L A1 - van Gilst, Wiek H A1 - Janipalli, Charles S A1 - Mani, K Radha A1 - Yajnik, Chittaranjan S A1 - Hofman, Albert A1 - Mattace-Raso, Francesco U S A1 - Oostra, Ben A A1 - Demirkan, Ayse A1 - Isaacs, Aaron A1 - Rivadeneira, Fernando A1 - Lakatta, Edward G A1 - Orrù, Marco A1 - Scuteri, Angelo A1 - Ala-Korpela, Mika A1 - Kangas, Antti J A1 - Lyytikäinen, Leo-Pekka A1 - Soininen, Pasi A1 - Tukiainen, Taru A1 - Würtz, Peter A1 - Ong, Rick Twee-Hee A1 - Dörr, Marcus A1 - Kroemer, Heyo K A1 - Völker, Uwe A1 - Völzke, Henry A1 - Galan, Pilar A1 - Hercberg, Serge A1 - Lathrop, Mark A1 - Zelenika, Diana A1 - Deloukas, Panos A1 - Mangino, Massimo A1 - Spector, Tim D A1 - Zhai, Guangju A1 - Meschia, James F A1 - Nalls, Michael A A1 - Sharma, Pankaj A1 - Terzic, Janos A1 - Kumar, M V Kranthi A1 - Denniff, Matthew A1 - Zukowska-Szczechowska, Ewa A1 - Wagenknecht, Lynne E A1 - Fowkes, F Gerald R A1 - Charchar, Fadi J A1 - Schwarz, Peter E H A1 - Hayward, Caroline A1 - Guo, Xiuqing A1 - Rotimi, Charles A1 - Bots, Michiel L A1 - Brand, Eva A1 - Samani, Nilesh J A1 - Polasek, Ozren A1 - Talmud, Philippa J A1 - Nyberg, Fredrik A1 - Kuh, Diana A1 - Laan, Maris A1 - Hveem, Kristian A1 - Palmer, Lyle J A1 - van der Schouw, Yvonne T A1 - Casas, Juan P A1 - Mohlke, Karen L A1 - Vineis, Paolo A1 - Raitakari, Olli A1 - Ganesh, Santhi K A1 - Wong, Tien Y A1 - Tai, E Shyong A1 - Cooper, Richard S A1 - Laakso, Markku A1 - Rao, Dabeeru C A1 - Harris, Tamara B A1 - Morris, Richard W A1 - Dominiczak, Anna F A1 - Kivimaki, Mika A1 - Marmot, Michael G A1 - Miki, Tetsuro A1 - Saleheen, Danish A1 - Chandak, Giriraj R A1 - Coresh, Josef A1 - Navis, Gerjan A1 - Salomaa, Veikko A1 - Han, Bok-Ghee A1 - Zhu, Xiaofeng A1 - Kooner, Jaspal S A1 - Melander, Olle A1 - Ridker, Paul M A1 - Bandinelli, Stefania A1 - Gyllensten, Ulf B A1 - Wright, Alan F A1 - Wilson, James F A1 - Ferrucci, Luigi A1 - Farrall, Martin A1 - Tuomilehto, Jaakko A1 - Pramstaller, Peter P A1 - Elosua, Roberto A1 - Soranzo, Nicole A1 - Sijbrands, Eric J G A1 - Altshuler, David A1 - Loos, Ruth J F A1 - Shuldiner, Alan R A1 - Gieger, Christian A1 - Meneton, Pierre A1 - Uitterlinden, André G A1 - Wareham, Nicholas J A1 - Gudnason, Vilmundur A1 - Rotter, Jerome I A1 - Rettig, Rainer A1 - Uda, Manuela A1 - Strachan, David P A1 - Witteman, Jacqueline C M A1 - Hartikainen, Anna-Liisa A1 - Beckmann, Jacques S A1 - Boerwinkle, Eric A1 - Vasan, Ramachandran S A1 - Boehnke, Michael A1 - Larson, Martin G A1 - Jarvelin, Marjo-Riitta A1 - Psaty, Bruce M A1 - Abecasis, Goncalo R A1 - Chakravarti, Aravinda A1 - Elliott, Paul A1 - van Duijn, Cornelia M A1 - Newton-Cheh, Christopher A1 - Levy, Daniel A1 - Caulfield, Mark J A1 - Johnson, Toby KW - Africa KW - Asia KW - Blood Pressure KW - Cardiovascular Diseases KW - Coronary Artery Disease KW - Europe KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Kidney Diseases KW - Polymorphism, Single Nucleotide KW - Stroke AB -

Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or  ≥90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.

VL - 478 IS - 7367 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21909115?dopt=Abstract ER - TY - JOUR T1 - A genome-wide association study identifies novel loci associated with circulating IGF-I and IGFBP-3. JF - Hum Mol Genet Y1 - 2011 A1 - Kaplan, Robert C A1 - Petersen, Ann-Kristin A1 - Chen, Ming-Huei A1 - Teumer, Alexander A1 - Glazer, Nicole L A1 - Döring, Angela A1 - Lam, Carolyn S P A1 - Friedrich, Nele A1 - Newman, Anne A1 - Müller, Martina A1 - Yang, Qiong A1 - Homuth, Georg A1 - Cappola, Anne A1 - Klopp, Norman A1 - Smith, Holly A1 - Ernst, Florian A1 - Psaty, Bruce M A1 - Wichmann, H-Erich A1 - Sawyer, Douglas B A1 - Biffar, Reiner A1 - Rotter, Jerome I A1 - Gieger, Christian A1 - Sullivan, Lisa S A1 - Völzke, Henry A1 - Rice, Kenneth A1 - Spyroglou, Ariadni A1 - Kroemer, Heyo K A1 - Ida Chen, Y-D A1 - Manolopoulou, Jenny A1 - Nauck, Matthias A1 - Strickler, Howard D A1 - Goodarzi, Mark O A1 - Reincke, Martin A1 - Pollak, Michael N A1 - Bidlingmaier, Martin A1 - Vasan, Ramachandran S A1 - Wallaschofski, Henri KW - Aged KW - Chromosomes, Human, Pair 7 KW - Cohort Studies KW - European Continental Ancestry Group KW - Female KW - Genome-Wide Association Study KW - Humans KW - Insulin-Like Growth Factor Binding Protein 3 KW - Insulin-Like Growth Factor I KW - Male KW - Polymorphism, Single Nucleotide AB -

Insulin-like growth factor-I (IGF-I) and insulin-like growth factor-binding protein-3 (IGFBP-3) are involved in cell replication, proliferation, differentiation, protein synthesis, carbohydrate homeostasis and bone metabolism. Circulating IGF-I and IGFBP-3 concentrations predict anthropometric traits and risk of cancer and cardiovascular disease. In a genome-wide association study of 10 280 middle-aged and older men and women from four community-based cohort studies, we confirmed a known association of single nucleotide polymorphisms in the IGFBP3 gene region on chromosome 7p12.3 with IGFBP-3 concentrations using a significance threshold of P < 5 × 10(-8) (P = 3.3 × 10(-101)). Furthermore, the same IGFBP3 gene locus (e.g. rs11977526) that was associated with IGFBP-3 concentrations was also associated with the opposite direction of effect, with IGF-I concentration after adjustment for IGFBP-3 concentration (P = 1.9 × 10(-26)). A novel and independent locus on chromosome 7p12.3 (rs700752) had genome-wide significant associations with higher IGFBP-3 (P = 4.4 × 10(-21)) and higher IGF-I (P = 4.9 × 10(-9)) concentrations; when the two measurements were adjusted for one another, the IGF-I association was attenuated but the IGFBP-3 association was not. Two additional loci demonstrated genome-wide significant associations with IGFBP-3 concentration (rs1065656, chromosome 16p13.3, P = 1.2 × 10(-11), IGFALS, a confirmatory finding; and rs4234798, chromosome 4p16.1, P = 4.5 × 10(-10), SORCS2, a novel finding). Together, the four genome-wide significant loci explained 6.5% of the population variation in IGFBP-3 concentration. Furthermore, we observed a borderline statistically significant association between IGF-I concentration and FOXO3 (rs2153960, chromosome 6q21, P = 5.1 × 10(-7)), a locus associated with longevity. These genetic loci deserve further investigation to elucidate the biological basis for the observed associations and clarify their possible role in IGF-mediated regulation of cell growth and metabolism.

VL - 20 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21216879?dopt=Abstract ER - TY - JOUR T1 - Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. JF - Nat Genet Y1 - 2011 A1 - Wain, Louise V A1 - Verwoert, Germaine C A1 - O'Reilly, Paul F A1 - Shi, Gang A1 - Johnson, Toby A1 - Johnson, Andrew D A1 - Bochud, Murielle A1 - Rice, Kenneth M A1 - Henneman, Peter A1 - Smith, Albert V A1 - Ehret, Georg B A1 - Amin, Najaf A1 - Larson, Martin G A1 - Mooser, Vincent A1 - Hadley, David A1 - Dörr, Marcus A1 - Bis, Joshua C A1 - Aspelund, Thor A1 - Esko, Tõnu A1 - Janssens, A Cecile J W A1 - Zhao, Jing Hua A1 - Heath, Simon A1 - Laan, Maris A1 - Fu, Jingyuan A1 - Pistis, Giorgio A1 - Luan, Jian'an A1 - Arora, Pankaj A1 - Lucas, Gavin A1 - Pirastu, Nicola A1 - Pichler, Irene A1 - Jackson, Anne U A1 - Webster, Rebecca J A1 - Zhang, Feng A1 - Peden, John F A1 - Schmidt, Helena A1 - Tanaka, Toshiko A1 - Campbell, Harry A1 - Igl, Wilmar A1 - Milaneschi, Yuri A1 - Hottenga, Jouke-Jan A1 - Vitart, Veronique A1 - Chasman, Daniel I A1 - Trompet, Stella A1 - Bragg-Gresham, Jennifer L A1 - Alizadeh, Behrooz Z A1 - Chambers, John C A1 - Guo, Xiuqing A1 - Lehtimäki, Terho A1 - Kuhnel, Brigitte A1 - Lopez, Lorna M A1 - Polasek, Ozren A1 - Boban, Mladen A1 - Nelson, Christopher P A1 - Morrison, Alanna C A1 - Pihur, Vasyl A1 - Ganesh, Santhi K A1 - Hofman, Albert A1 - Kundu, Suman A1 - Mattace-Raso, Francesco U S A1 - Rivadeneira, Fernando A1 - Sijbrands, Eric J G A1 - Uitterlinden, André G A1 - Hwang, Shih-Jen A1 - Vasan, Ramachandran S A1 - Wang, Thomas J A1 - Bergmann, Sven A1 - Vollenweider, Peter A1 - Waeber, Gérard A1 - Laitinen, Jaana A1 - Pouta, Anneli A1 - Zitting, Paavo A1 - McArdle, Wendy L A1 - Kroemer, Heyo K A1 - Völker, Uwe A1 - Völzke, Henry A1 - Glazer, Nicole L A1 - Taylor, Kent D A1 - Harris, Tamara B A1 - Alavere, Helene A1 - Haller, Toomas A1 - Keis, Aime A1 - Tammesoo, Mari-Liis A1 - Aulchenko, Yurii A1 - Barroso, Inês A1 - Khaw, Kay-Tee A1 - Galan, Pilar A1 - Hercberg, Serge A1 - Lathrop, Mark A1 - Eyheramendy, Susana A1 - Org, Elin A1 - Sõber, Siim A1 - Lu, Xiaowen A1 - Nolte, Ilja M A1 - Penninx, Brenda W A1 - Corre, Tanguy A1 - Masciullo, Corrado A1 - Sala, Cinzia A1 - Groop, Leif A1 - Voight, Benjamin F A1 - Melander, Olle A1 - O'Donnell, Christopher J A1 - Salomaa, Veikko A1 - d'Adamo, Adamo Pio A1 - Fabretto, Antonella A1 - Faletra, Flavio A1 - Ulivi, Sheila A1 - Del Greco, Fabiola M A1 - Facheris, Maurizio A1 - Collins, Francis S A1 - Bergman, Richard N A1 - Beilby, John P A1 - Hung, Joseph A1 - Musk, A William A1 - Mangino, Massimo A1 - Shin, So-Youn A1 - Soranzo, Nicole A1 - Watkins, Hugh A1 - Goel, Anuj A1 - Hamsten, Anders A1 - Gider, Pierre A1 - Loitfelder, Marisa A1 - Zeginigg, Marion A1 - Hernandez, Dena A1 - Najjar, Samer S A1 - Navarro, Pau A1 - Wild, Sarah H A1 - Corsi, Anna Maria A1 - Singleton, Andrew A1 - de Geus, Eco J C A1 - Willemsen, Gonneke A1 - Parker, Alex N A1 - Rose, Lynda M A1 - Buckley, Brendan A1 - Stott, David A1 - Orrù, Marco A1 - Uda, Manuela A1 - van der Klauw, Melanie M A1 - Zhang, Weihua A1 - Li, Xinzhong A1 - Scott, James A1 - Chen, Yii-Der Ida A1 - Burke, Gregory L A1 - Kähönen, Mika A1 - Viikari, Jorma A1 - Döring, Angela A1 - Meitinger, Thomas A1 - Davies, Gail A1 - Starr, John M A1 - Emilsson, Valur A1 - Plump, Andrew A1 - Lindeman, Jan H A1 - Hoen, Peter A C 't A1 - König, Inke R A1 - Felix, Janine F A1 - Clarke, Robert A1 - Hopewell, Jemma C A1 - Ongen, Halit A1 - Breteler, Monique A1 - Debette, Stephanie A1 - DeStefano, Anita L A1 - Fornage, Myriam A1 - Mitchell, Gary F A1 - Smith, Nicholas L A1 - Holm, Hilma A1 - Stefansson, Kari A1 - Thorleifsson, Gudmar A1 - Thorsteinsdottir, Unnur A1 - Samani, Nilesh J A1 - Preuss, Michael A1 - Rudan, Igor A1 - Hayward, Caroline A1 - Deary, Ian J A1 - Wichmann, H-Erich A1 - Raitakari, Olli T A1 - Palmas, Walter A1 - Kooner, Jaspal S A1 - Stolk, Ronald P A1 - Jukema, J Wouter A1 - Wright, Alan F A1 - Boomsma, Dorret I A1 - Bandinelli, Stefania A1 - Gyllensten, Ulf B A1 - Wilson, James F A1 - Ferrucci, Luigi A1 - Schmidt, Reinhold A1 - Farrall, Martin A1 - Spector, Tim D A1 - Palmer, Lyle J A1 - Tuomilehto, Jaakko A1 - Pfeufer, Arne A1 - Gasparini, Paolo A1 - Siscovick, David A1 - Altshuler, David A1 - Loos, Ruth J F A1 - Toniolo, Daniela A1 - Snieder, Harold A1 - Gieger, Christian A1 - Meneton, Pierre A1 - Wareham, Nicholas J A1 - Oostra, Ben A A1 - Metspalu, Andres A1 - Launer, Lenore A1 - Rettig, Rainer A1 - Strachan, David P A1 - Beckmann, Jacques S A1 - Witteman, Jacqueline C M A1 - Erdmann, Jeanette A1 - van Dijk, Ko Willems A1 - Boerwinkle, Eric A1 - Boehnke, Michael A1 - Ridker, Paul M A1 - Jarvelin, Marjo-Riitta A1 - Chakravarti, Aravinda A1 - Abecasis, Goncalo R A1 - Gudnason, Vilmundur A1 - Newton-Cheh, Christopher A1 - Levy, Daniel A1 - Munroe, Patricia B A1 - Psaty, Bruce M A1 - Caulfield, Mark J A1 - Rao, Dabeeru C A1 - Tobin, Martin D A1 - Elliott, Paul A1 - van Duijn, Cornelia M KW - Arteries KW - Blood Pressure KW - Case-Control Studies KW - Follow-Up Studies KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Linkage Disequilibrium KW - Polymorphism, Single Nucleotide AB -

Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we identified at genome-wide significance (P = 2.7 × 10(-8) to P = 2.3 × 10(-13)) four new PP loci (at 4q12 near CHIC2, 7q22.3 near PIK3CG, 8q24.12 in NOV and 11q24.3 near ADAMTS8), two new MAP loci (3p21.31 in MAP4 and 10q25.3 near ADRB1) and one locus associated with both of these traits (2q24.3 near FIGN) that has also recently been associated with SBP in east Asians. For three of the new PP loci, the estimated effect for SBP was opposite of that for DBP, in contrast to the majority of common SBP- and DBP-associated variants, which show concordant effects on both traits. These findings suggest new genetic pathways underlying blood pressure variation, some of which may differentially influence SBP and DBP.

VL - 43 IS - 10 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21909110?dopt=Abstract ER - TY - JOUR T1 - Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels. JF - Circulation Y1 - 2011 A1 - Dehghan, Abbas A1 - Dupuis, Josée A1 - Barbalic, Maja A1 - Bis, Joshua C A1 - Eiriksdottir, Gudny A1 - Lu, Chen A1 - Pellikka, Niina A1 - Wallaschofski, Henri A1 - Kettunen, Johannes A1 - Henneman, Peter A1 - Baumert, Jens A1 - Strachan, David P A1 - Fuchsberger, Christian A1 - Vitart, Veronique A1 - Wilson, James F A1 - Paré, Guillaume A1 - Naitza, Silvia A1 - Rudock, Megan E A1 - Surakka, Ida A1 - de Geus, Eco J C A1 - Alizadeh, Behrooz Z A1 - Guralnik, Jack A1 - Shuldiner, Alan A1 - Tanaka, Toshiko A1 - Zee, Robert Y L A1 - Schnabel, Renate B A1 - Nambi, Vijay A1 - Kavousi, Maryam A1 - Ripatti, Samuli A1 - Nauck, Matthias A1 - Smith, Nicholas L A1 - Smith, Albert V A1 - Sundvall, Jouko A1 - Scheet, Paul A1 - Liu, Yongmei A1 - Ruokonen, Aimo A1 - Rose, Lynda M A1 - Larson, Martin G A1 - Hoogeveen, Ron C A1 - Freimer, Nelson B A1 - Teumer, Alexander A1 - Tracy, Russell P A1 - Launer, Lenore J A1 - Buring, Julie E A1 - Yamamoto, Jennifer F A1 - Folsom, Aaron R A1 - Sijbrands, Eric J G A1 - Pankow, James A1 - Elliott, Paul A1 - Keaney, John F A1 - Sun, Wei A1 - Sarin, Antti-Pekka A1 - Fontes, João D A1 - Badola, Sunita A1 - Astor, Brad C A1 - Hofman, Albert A1 - Pouta, Anneli A1 - Werdan, Karl A1 - Greiser, Karin H A1 - Kuss, Oliver A1 - Meyer zu Schwabedissen, Henriette E A1 - Thiery, Joachim A1 - Jamshidi, Yalda A1 - Nolte, Ilja M A1 - Soranzo, Nicole A1 - Spector, Timothy D A1 - Völzke, Henry A1 - Parker, Alexander N A1 - Aspelund, Thor A1 - Bates, David A1 - Young, Lauren A1 - Tsui, Kim A1 - Siscovick, David S A1 - Guo, Xiuqing A1 - Rotter, Jerome I A1 - Uda, Manuela A1 - Schlessinger, David A1 - Rudan, Igor A1 - Hicks, Andrew A A1 - Penninx, Brenda W A1 - Thorand, Barbara A1 - Gieger, Christian A1 - Coresh, Joe A1 - Willemsen, Gonneke A1 - Harris, Tamara B A1 - Uitterlinden, André G A1 - Jarvelin, Marjo-Riitta A1 - Rice, Kenneth A1 - Radke, Dörte A1 - Salomaa, Veikko A1 - Willems van Dijk, Ko A1 - Boerwinkle, Eric A1 - Vasan, Ramachandran S A1 - Ferrucci, Luigi A1 - Gibson, Quince D A1 - Bandinelli, Stefania A1 - Snieder, Harold A1 - Boomsma, Dorret I A1 - Xiao, Xiangjun A1 - Campbell, Harry A1 - Hayward, Caroline A1 - Pramstaller, Peter P A1 - van Duijn, Cornelia M A1 - Peltonen, Leena A1 - Psaty, Bruce M A1 - Gudnason, Vilmundur A1 - Ridker, Paul M A1 - Homuth, Georg A1 - Koenig, Wolfgang A1 - Ballantyne, Christie M A1 - Witteman, Jacqueline C M A1 - Benjamin, Emelia J A1 - Perola, Markus A1 - Chasman, Daniel I KW - Biomarkers KW - C-Reactive Protein KW - Cardiovascular Diseases KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Risk Factors KW - Vasculitis AB -

BACKGROUND: C-reactive protein (CRP) is a heritable marker of chronic inflammation that is strongly associated with cardiovascular disease. We sought to identify genetic variants that are associated with CRP levels.

METHODS AND RESULTS: We performed a genome-wide association analysis of CRP in 66 185 participants from 15 population-based studies. We sought replication for the genome-wide significant and suggestive loci in a replication panel comprising 16 540 individuals from 10 independent studies. We found 18 genome-wide significant loci, and we provided evidence of replication for 8 of them. Our results confirm 7 previously known loci and introduce 11 novel loci that are implicated in pathways related to the metabolic syndrome (APOC1, HNF1A, LEPR, GCKR, HNF4A, and PTPN2) or the immune system (CRP, IL6R, NLRP3, IL1F10, and IRF1) or that reside in regions previously not known to play a role in chronic inflammation (PPP1R3B, SALL1, PABPC4, ASCL1, RORA, and BCL7B). We found a significant interaction of body mass index with LEPR (P<2.9×10(-6)). A weighted genetic risk score that was developed to summarize the effect of risk alleles was strongly associated with CRP levels and explained ≈5% of the trait variance; however, there was no evidence for these genetic variants explaining the association of CRP with coronary heart disease.

CONCLUSIONS: We identified 18 loci that were associated with CRP levels. Our study highlights immune response and metabolic regulatory pathways involved in the regulation of chronic inflammation.

VL - 123 IS - 7 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21300955?dopt=Abstract ER - TY - JOUR T1 - Eight genetic loci associated with variation in lipoprotein-associated phospholipase A2 mass and activity and coronary heart disease: meta-analysis of genome-wide association studies from five community-based studies. JF - Eur Heart J Y1 - 2012 A1 - Grallert, Harald A1 - Dupuis, Josée A1 - Bis, Joshua C A1 - Dehghan, Abbas A1 - Barbalic, Maja A1 - Baumert, Jens A1 - Lu, Chen A1 - Smith, Nicholas L A1 - Uitterlinden, André G A1 - Roberts, Robert A1 - Khuseyinova, Natalie A1 - Schnabel, Renate B A1 - Rice, Kenneth M A1 - Rivadeneira, Fernando A1 - Hoogeveen, Ron C A1 - Fontes, João Daniel A1 - Meisinger, Christa A1 - Keaney, John F A1 - Lemaitre, Rozenn A1 - Aulchenko, Yurii S A1 - Vasan, Ramachandran S A1 - Ellis, Stephen A1 - Hazen, Stanley L A1 - van Duijn, Cornelia M A1 - Nelson, Jeanenne J A1 - März, Winfried A1 - Schunkert, Heribert A1 - McPherson, Ruth M A1 - Stirnadel-Farrant, Heide A A1 - Psaty, Bruce M A1 - Gieger, Christian A1 - Siscovick, David A1 - Hofman, Albert A1 - Illig, Thomas A1 - Cushman, Mary A1 - Yamamoto, Jennifer F A1 - Rotter, Jerome I A1 - Larson, Martin G A1 - Stewart, Alexandre F R A1 - Boerwinkle, Eric A1 - Witteman, Jacqueline C M A1 - Tracy, Russell P A1 - Koenig, Wolfgang A1 - Benjamin, Emelia J A1 - Ballantyne, Christie M KW - 1-Alkyl-2-acetylglycerophosphocholine Esterase KW - Aged KW - Coronary Artery Disease KW - Coronary Disease KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Male KW - Middle Aged KW - Phospholipases A2 KW - Polymorphism, Single Nucleotide AB -

AIMS: Lipoprotein-associated phospholipase A2 (Lp-PLA2) generates proinflammatory and proatherogenic compounds in the arterial vascular wall and is a potential therapeutic target in coronary heart disease (CHD). We searched for genetic loci related to Lp-PLA2 mass or activity by a genome-wide association study as part of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.

METHODS AND RESULTS: In meta-analyses of findings from five population-based studies, comprising 13 664 subjects, variants at two loci (PLA2G7, CETP) were associated with Lp-PLA2 mass. The strongest signal was at rs1805017 in PLA2G7 [P = 2.4 × 10(-23), log Lp-PLA2 difference per allele (beta): 0.043]. Variants at six loci were associated with Lp-PLA2 activity (PLA2G7, APOC1, CELSR2, LDL, ZNF259, SCARB1), among which the strongest signals were at rs4420638, near the APOE-APOC1-APOC4-APOC2 cluster [P = 4.9 × 10(-30); log Lp-PLA2 difference per allele (beta): -0.054]. There were no significant gene-environment interactions between these eight polymorphisms associated with Lp-PLA2 mass or activity and age, sex, body mass index, or smoking status. Four of the polymorphisms (in APOC1, CELSR2, SCARB1, ZNF259), but not PLA2G7, were significantly associated with CHD in a second study.

CONCLUSION: Levels of Lp-PLA2 mass and activity were associated with PLA2G7, the gene coding for this protein. Lipoprotein-associated phospholipase A2 activity was also strongly associated with genetic variants related to low-density lipoprotein cholesterol levels.

VL - 33 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22003152?dopt=Abstract ER - TY - JOUR T1 - Genome-wide association study of cardiac structure and systolic function in African Americans: the Candidate Gene Association Resource (CARe) study. JF - Circ Cardiovasc Genet Y1 - 2013 A1 - Fox, Ervin R A1 - Musani, Solomon K A1 - Barbalic, Maja A1 - Lin, Honghuang A1 - Yu, Bing A1 - Ogunyankin, Kofo O A1 - Smith, Nicholas L A1 - Kutlar, Abdullah A1 - Glazer, Nicole L A1 - Post, Wendy S A1 - Paltoo, Dina N A1 - Dries, Daniel L A1 - Farlow, Deborah N A1 - Duarte, Christine W A1 - Kardia, Sharon L A1 - Meyers, Kristin J A1 - Sun, Yan V A1 - Arnett, Donna K A1 - Patki, Amit A A1 - Sha, Jin A1 - Cui, Xiangqui A1 - Samdarshi, Tandaw E A1 - Penman, Alan D A1 - Bibbins-Domingo, Kirsten A1 - Bůzková, Petra A1 - Benjamin, Emelia J A1 - Bluemke, David A A1 - Morrison, Alanna C A1 - Heiss, Gerardo A1 - Carr, J Jeffrey A1 - Tracy, Russell P A1 - Mosley, Thomas H A1 - Taylor, Herman A A1 - Psaty, Bruce M A1 - Heckbert, Susan R A1 - Cappola, Thomas P A1 - Vasan, Ramachandran S KW - African Americans KW - Aged KW - Cohort Studies KW - Diastole KW - Echocardiography KW - European Continental Ancestry Group KW - Female KW - Genome-Wide Association Study KW - Genotype KW - Heart KW - Humans KW - Male KW - Middle Aged KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Systole AB -

BACKGROUND: Using data from 4 community-based cohorts of African Americans, we tested the association between genome-wide markers (single-nucleotide polymorphisms) and cardiac phenotypes in the Candidate-gene Association Resource study.

METHODS AND RESULTS: Among 6765 African Americans, we related age, sex, height, and weight-adjusted residuals for 9 cardiac phenotypes (assessed by echocardiogram or magnetic resonance imaging) to 2.5 million single-nucleotide polymorphisms genotyped using Genome-wide Affymetrix Human SNP Array 6.0 (Affy6.0) and the remainder imputed. Within the cohort, genome-wide association analysis was conducted, followed by meta-analysis across cohorts using inverse variance weights (genome-wide significance threshold=4.0 ×10(-7)). Supplementary pathway analysis was performed. We attempted replication in 3 smaller cohorts of African ancestry and tested lookups in 1 consortium of European ancestry (EchoGEN). Across the 9 phenotypes, variants in 4 genetic loci reached genome-wide significance: rs4552931 in UBE2V2 (P=1.43×10(-7)) for left ventricular mass, rs7213314 in WIPI1 (P=1.68×10(-7)) for left ventricular internal diastolic diameter, rs1571099 in PPAPDC1A (P=2.57×10(-8)) for interventricular septal wall thickness, and rs9530176 in KLF5 (P=4.02×10(-7)) for ejection fraction. Associated variants were enriched in 3 signaling pathways involved in cardiac remodeling. None of the 4 loci replicated in cohorts of African ancestry was confirmed in lookups in EchoGEN.

CONCLUSIONS: In the largest genome-wide association study of cardiac structure and function to date in African Americans, we identified 4 genetic loci related to left ventricular mass, interventricular septal wall thickness, left ventricular internal diastolic diameter, and ejection fraction, which reached genome-wide significance. Replication results suggest that these loci may be unique to individuals of African ancestry. Additional large-scale studies are warranted for these complex phenotypes.

VL - 6 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23275298?dopt=Abstract ER - TY - JOUR T1 - B-type natriuretic peptide and C-reactive protein in the prediction of atrial fibrillation risk: the CHARGE-AF Consortium of community-based cohort studies. JF - Europace Y1 - 2014 A1 - Sinner, Moritz F A1 - Stepas, Katherine A A1 - Moser, Carlee B A1 - Krijthe, Bouwe P A1 - Aspelund, Thor A1 - Sotoodehnia, Nona A1 - Fontes, João D A1 - Janssens, A Cecile J W A1 - Kronmal, Richard A A1 - Magnani, Jared W A1 - Witteman, Jacqueline C A1 - Chamberlain, Alanna M A1 - Lubitz, Steven A A1 - Schnabel, Renate B A1 - Vasan, Ramachandran S A1 - Wang, Thomas J A1 - Agarwal, Sunil K A1 - McManus, David D A1 - Franco, Oscar H A1 - Yin, Xiaoyan A1 - Larson, Martin G A1 - Burke, Gregory L A1 - Launer, Lenore J A1 - Hofman, Albert A1 - Levy, Daniel A1 - Gottdiener, John S A1 - Kääb, Stefan A1 - Couper, David A1 - Harris, Tamara B A1 - Astor, Brad C A1 - Ballantyne, Christie M A1 - Hoogeveen, Ron C A1 - Arai, Andrew E A1 - Soliman, Elsayed Z A1 - Ellinor, Patrick T A1 - Stricker, Bruno H C A1 - Gudnason, Vilmundur A1 - Heckbert, Susan R A1 - Pencina, Michael J A1 - Benjamin, Emelia J A1 - Alonso, Alvaro KW - Aged KW - Atrial Fibrillation KW - Biomarkers KW - C-Reactive Protein KW - Europe KW - Female KW - Humans KW - Incidence KW - Male KW - Natriuretic Peptide, Brain KW - Peptide Fragments KW - Predictive Value of Tests KW - Risk Assessment KW - Risk Factors KW - United States AB -

AIMS: B-type natriuretic peptide (BNP) and C-reactive protein (CRP) predict atrial fibrillation (AF) risk. However, their risk stratification abilities in the broad community remain uncertain. We sought to improve risk stratification for AF using biomarker information.

METHODS AND RESULTS: We ascertained AF incidence in 18 556 Whites and African Americans from the Atherosclerosis Risk in Communities Study (ARIC, n=10 675), Cardiovascular Health Study (CHS, n = 5043), and Framingham Heart Study (FHS, n = 2838), followed for 5 years (prediction horizon). We added BNP (ARIC/CHS: N-terminal pro-B-type natriuretic peptide; FHS: BNP), CRP, or both to a previously reported AF risk score, and assessed model calibration and predictive ability [C-statistic, integrated discrimination improvement (IDI), and net reclassification improvement (NRI)]. We replicated models in two independent European cohorts: Age, Gene/Environment Susceptibility Reykjavik Study (AGES), n = 4467; Rotterdam Study (RS), n = 3203. B-type natriuretic peptide and CRP were significantly associated with AF incidence (n = 1186): hazard ratio per 1-SD ln-transformed biomarker 1.66 [95% confidence interval (CI), 1.56-1.76], P < 0.0001 and 1.18 (95% CI, 1.11-1.25), P < 0.0001, respectively. Model calibration was sufficient (BNP, χ(2) = 17.0; CRP, χ(2) = 10.5; BNP and CRP, χ(2) = 13.1). B-type natriuretic peptide improved the C-statistic from 0.765 to 0.790, yielded an IDI of 0.027 (95% CI, 0.022-0.032), a relative IDI of 41.5%, and a continuous NRI of 0.389 (95% CI, 0.322-0.455). The predictive ability of CRP was limited (C-statistic increment 0.003). B-type natriuretic peptide consistently improved prediction in AGES and RS.

CONCLUSION: B-type natriuretic peptide, not CRP, substantially improved AF risk prediction beyond clinical factors in an independently replicated, heterogeneous population. B-type natriuretic peptide may serve as a benchmark to evaluate novel putative AF risk biomarkers.

VL - 16 IS - 10 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25037055?dopt=Abstract ER - TY - JOUR T1 - Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. JF - Am J Hum Genet Y1 - 2014 A1 - Ganesh, Santhi K A1 - Chasman, Daniel I A1 - Larson, Martin G A1 - Guo, Xiuqing A1 - Verwoert, Germain A1 - Bis, Joshua C A1 - Gu, Xiangjun A1 - Smith, Albert V A1 - Yang, Min-Lee A1 - Zhang, Yan A1 - Ehret, Georg A1 - Rose, Lynda M A1 - Hwang, Shih-Jen A1 - Papanicolau, George J A1 - Sijbrands, Eric J A1 - Rice, Kenneth A1 - Eiriksdottir, Gudny A1 - Pihur, Vasyl A1 - Ridker, Paul M A1 - Vasan, Ramachandran S A1 - Newton-Cheh, Christopher A1 - Raffel, Leslie J A1 - Amin, Najaf A1 - Rotter, Jerome I A1 - Liu, Kiang A1 - Launer, Lenore J A1 - Xu, Ming A1 - Caulfield, Mark A1 - Morrison, Alanna C A1 - Johnson, Andrew D A1 - Vaidya, Dhananjay A1 - Dehghan, Abbas A1 - Li, Guo A1 - Bouchard, Claude A1 - Harris, Tamara B A1 - Zhang, He A1 - Boerwinkle, Eric A1 - Siscovick, David S A1 - Gao, Wei A1 - Uitterlinden, André G A1 - Rivadeneira, Fernando A1 - Hofman, Albert A1 - Willer, Cristen J A1 - Franco, Oscar H A1 - Huo, Yong A1 - Witteman, Jacqueline C M A1 - Munroe, Patricia B A1 - Gudnason, Vilmundur A1 - Palmas, Walter A1 - van Duijn, Cornelia A1 - Fornage, Myriam A1 - Levy, Daniel A1 - Psaty, Bruce M A1 - Chakravarti, Aravinda KW - Blood Pressure KW - Genome-Wide Association Study KW - Humans KW - Longitudinal Studies KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci AB -

Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.

VL - 95 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24975945?dopt=Abstract ER - TY - JOUR T1 - Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia. JF - Am J Hum Genet Y1 - 2014 A1 - Simino, Jeannette A1 - Shi, Gang A1 - Bis, Joshua C A1 - Chasman, Daniel I A1 - Ehret, Georg B A1 - Gu, Xiangjun A1 - Guo, Xiuqing A1 - Hwang, Shih-Jen A1 - Sijbrands, Eric A1 - Smith, Albert V A1 - Verwoert, Germaine C A1 - Bragg-Gresham, Jennifer L A1 - Cadby, Gemma A1 - Chen, Peng A1 - Cheng, Ching-Yu A1 - Corre, Tanguy A1 - de Boer, Rudolf A A1 - Goel, Anuj A1 - Johnson, Toby A1 - Khor, Chiea-Chuen A1 - Lluís-Ganella, Carla A1 - Luan, Jian'an A1 - Lyytikäinen, Leo-Pekka A1 - Nolte, Ilja M A1 - Sim, Xueling A1 - Sõber, Siim A1 - van der Most, Peter J A1 - Verweij, Niek A1 - Zhao, Jing Hua A1 - Amin, Najaf A1 - Boerwinkle, Eric A1 - Bouchard, Claude A1 - Dehghan, Abbas A1 - Eiriksdottir, Gudny A1 - Elosua, Roberto A1 - Franco, Oscar H A1 - Gieger, Christian A1 - Harris, Tamara B A1 - Hercberg, Serge A1 - Hofman, Albert A1 - James, Alan L A1 - Johnson, Andrew D A1 - Kähönen, Mika A1 - Khaw, Kay-Tee A1 - Kutalik, Zoltán A1 - Larson, Martin G A1 - Launer, Lenore J A1 - Li, Guo A1 - Liu, Jianjun A1 - Liu, Kiang A1 - Morrison, Alanna C A1 - Navis, Gerjan A1 - Ong, Rick Twee-Hee A1 - Papanicolau, George J A1 - Penninx, Brenda W A1 - Psaty, Bruce M A1 - Raffel, Leslie J A1 - Raitakari, Olli T A1 - Rice, Kenneth A1 - Rivadeneira, Fernando A1 - Rose, Lynda M A1 - Sanna, Serena A1 - Scott, Robert A A1 - Siscovick, David S A1 - Stolk, Ronald P A1 - Uitterlinden, André G A1 - Vaidya, Dhananjay A1 - van der Klauw, Melanie M A1 - Vasan, Ramachandran S A1 - Vithana, Eranga Nishanthie A1 - Völker, Uwe A1 - Völzke, Henry A1 - Watkins, Hugh A1 - Young, Terri L A1 - Aung, Tin A1 - Bochud, Murielle A1 - Farrall, Martin A1 - Hartman, Catharina A A1 - Laan, Maris A1 - Lakatta, Edward G A1 - Lehtimäki, Terho A1 - Loos, Ruth J F A1 - Lucas, Gavin A1 - Meneton, Pierre A1 - Palmer, Lyle J A1 - Rettig, Rainer A1 - Snieder, Harold A1 - Tai, E Shyong A1 - Teo, Yik-Ying A1 - van der Harst, Pim A1 - Wareham, Nicholas J A1 - Wijmenga, Cisca A1 - Wong, Tien Yin A1 - Fornage, Myriam A1 - Gudnason, Vilmundur A1 - Levy, Daniel A1 - Palmas, Walter A1 - Ridker, Paul M A1 - Rotter, Jerome I A1 - van Duijn, Cornelia M A1 - Witteman, Jacqueline C M A1 - Chakravarti, Aravinda A1 - Rao, Dabeeru C KW - Adolescent KW - Adult KW - Age Factors KW - Aged KW - Blood Pressure KW - Cohort Studies KW - Humans KW - Middle Aged KW - Young Adult AB -

Although age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p ≤ 5 × 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 × 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.

VL - 95 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24954895?dopt=Abstract ER - TY - JOUR T1 - Genome-wide association study of L-arginine and dimethylarginines reveals novel metabolic pathway for symmetric dimethylarginine. JF - Circ Cardiovasc Genet Y1 - 2014 A1 - Lüneburg, Nicole A1 - Lieb, Wolfgang A1 - Zeller, Tanja A1 - Chen, Ming-Huei A1 - Maas, Renke A1 - Carter, Angela M A1 - Xanthakis, Vanessa A1 - Glazer, Nicole L A1 - Schwedhelm, Edzard A1 - Seshadri, Sudha A1 - Ikram, Mohammad Arfan A1 - Longstreth, William T A1 - Fornage, Myriam A1 - König, Inke R A1 - Loley, Christina A1 - Ojeda, Francisco M A1 - Schillert, Arne A1 - Wang, Thomas J A1 - Sticht, Heinrich A1 - Kittel, Anja A1 - König, Jörg A1 - Benjamin, Emelia J A1 - Sullivan, Lisa M A1 - Bernges, Isabel A1 - Anderssohn, Maike A1 - Ziegler, Andreas A1 - Gieger, Christian A1 - Illig, Thomas A1 - Meisinger, Christa A1 - Wichmann, H-Erich A1 - Wild, Philipp S A1 - Schunkert, Heribert A1 - Psaty, Bruce M A1 - Wiggins, Kerri L A1 - Heckbert, Susan R A1 - Smith, Nicholas A1 - Lackner, Karl A1 - Lunetta, Kathryn L A1 - Blankenberg, Stefan A1 - Erdmann, Jeanette A1 - Münzel, Thomas A1 - Grant, Peter J A1 - Vasan, Ramachandran S A1 - Böger, Rainer H KW - Adult KW - Aged KW - Amidohydrolases KW - Arginine KW - Binding Sites KW - Cohort Studies KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Genotype KW - HEK293 Cells KW - Humans KW - Male KW - Mediator Complex KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Protein Structure, Tertiary KW - Risk Factors KW - Stroke KW - Substrate Specificity KW - Transaminases AB -

BACKGROUND: Dimethylarginines (DMA) interfere with nitric oxide formation by inhibiting nitric oxide synthase (asymmetrical DMA [ADMA]) and l-arginine uptake into the cell (ADMA and symmetrical DMA [SDMA]). In prospective clinical studies, ADMA has been characterized as a cardiovascular risk marker, whereas SDMA is a novel marker for renal function and associated with all-cause mortality after ischemic stroke. The aim of the current study was to characterize the environmental and genetic contributions to interindividual variability of these biomarkers.

METHODS AND RESULTS: This study comprised a genome-wide association analysis of 3 well-characterized population-based cohorts (Framingham Heart Study [FHS; n=2992], Gutenberg Health Study [GHS; n=4354], and Multinational Monitoring of Trends and Determinants in Cardiovascular Disease Study [MONICA]/Cooperative Health Research in the Augsburg Area, Augsburg, Bavaria, Germany [KORA] F3 [n=581]) and identified replicated loci (DDAH1, MED23, Arg1, and AGXT2) associated with the interindividual variability in ADMA, l-arginine, and SDMA. Experimental in silico and in vitro studies confirmed functional significance of the identified AGXT2 variants. Clinical outcome analysis in 384 patients of the Leeds stroke study demonstrated an association between increased plasma levels of SDMA, AGXT2 variants, and various cardiometabolic risk factors. AGXT2 variants were not associated with poststroke survival in the Leeds study or were they associated with incident stroke in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

CONCLUSIONS: These genome-wide association study support the importance of DDAH1 and MED23/Arg1 in regulating ADMA and l-arginine metabolism, respectively, and identify a novel regulatory renal pathway for SDMA by AGXT2. AGXT2 variants might explain part of the pathogenic link between SDMA, renal function, and outcome. An association between AGXT2 variants and stroke is unclear and warrants further investigation.

VL - 7 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25245031?dopt=Abstract ER - TY - JOUR T1 - Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins. JF - Nat Commun Y1 - 2014 A1 - Postmus, Iris A1 - Trompet, Stella A1 - Deshmukh, Harshal A A1 - Barnes, Michael R A1 - Li, Xiaohui A1 - Warren, Helen R A1 - Chasman, Daniel I A1 - Zhou, Kaixin A1 - Arsenault, Benoit J A1 - Donnelly, Louise A A1 - Wiggins, Kerri L A1 - Avery, Christy L A1 - Griffin, Paula A1 - Feng, QiPing A1 - Taylor, Kent D A1 - Li, Guo A1 - Evans, Daniel S A1 - Smith, Albert V A1 - de Keyser, Catherine E A1 - Johnson, Andrew D A1 - de Craen, Anton J M A1 - Stott, David J A1 - Buckley, Brendan M A1 - Ford, Ian A1 - Westendorp, Rudi G J A1 - Slagboom, P Eline A1 - Sattar, Naveed A1 - Munroe, Patricia B A1 - Sever, Peter A1 - Poulter, Neil A1 - Stanton, Alice A1 - Shields, Denis C A1 - O'Brien, Eoin A1 - Shaw-Hawkins, Sue A1 - Chen, Y-D Ida A1 - Nickerson, Deborah A A1 - Smith, Joshua D A1 - Dubé, Marie Pierre A1 - Boekholdt, S Matthijs A1 - Hovingh, G Kees A1 - Kastelein, John J P A1 - McKeigue, Paul M A1 - Betteridge, John A1 - Neil, Andrew A1 - Durrington, Paul N A1 - Doney, Alex A1 - Carr, Fiona A1 - Morris, Andrew A1 - McCarthy, Mark I A1 - Groop, Leif A1 - Ahlqvist, Emma A1 - Bis, Joshua C A1 - Rice, Kenneth A1 - Smith, Nicholas L A1 - Lumley, Thomas A1 - Whitsel, Eric A A1 - Stürmer, Til A1 - Boerwinkle, Eric A1 - Ngwa, Julius S A1 - O'Donnell, Christopher J A1 - Vasan, Ramachandran S A1 - Wei, Wei-Qi A1 - Wilke, Russell A A1 - Liu, Ching-Ti A1 - Sun, Fangui A1 - Guo, Xiuqing A1 - Heckbert, Susan R A1 - Post, Wendy A1 - Sotoodehnia, Nona A1 - Arnold, Alice M A1 - Stafford, Jeanette M A1 - Ding, Jingzhong A1 - Herrington, David M A1 - Kritchevsky, Stephen B A1 - Eiriksdottir, Gudny A1 - Launer, Leonore J A1 - Harris, Tamara B A1 - Chu, Audrey Y A1 - Giulianini, Franco A1 - MacFadyen, Jean G A1 - Barratt, Bryan J A1 - Nyberg, Fredrik A1 - Stricker, Bruno H A1 - Uitterlinden, André G A1 - Hofman, Albert A1 - Rivadeneira, Fernando A1 - Emilsson, Valur A1 - Franco, Oscar H A1 - Ridker, Paul M A1 - Gudnason, Vilmundur A1 - Liu, Yongmei A1 - Denny, Joshua C A1 - Ballantyne, Christie M A1 - Rotter, Jerome I A1 - Adrienne Cupples, L A1 - Psaty, Bruce M A1 - Palmer, Colin N A A1 - Tardif, Jean-Claude A1 - Colhoun, Helen M A1 - Hitman, Graham A1 - Krauss, Ronald M A1 - Wouter Jukema, J A1 - Caulfield, Mark J KW - Cholesterol, LDL KW - Genome-Wide Association Study KW - Humans KW - Hydroxymethylglutaryl-CoA Reductase Inhibitors KW - Pharmacogenetics KW - Polymorphism, Single Nucleotide AB -

Statins effectively lower LDL cholesterol levels in large studies and the observed interindividual response variability may be partially explained by genetic variation. Here we perform a pharmacogenetic meta-analysis of genome-wide association studies (GWAS) in studies addressing the LDL cholesterol response to statins, including up to 18,596 statin-treated subjects. We validate the most promising signals in a further 22,318 statin recipients and identify two loci, SORT1/CELSR2/PSRC1 and SLCO1B1, not previously identified in GWAS. Moreover, we confirm the previously described associations with APOE and LPA. Our findings advance the understanding of the pharmacogenetic architecture of statin response.

VL - 5 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25350695?dopt=Abstract ER - TY - JOUR T1 - A robust method for genome-wide association meta-analysis with the application to circulating insulin-like growth factor I concentrations. JF - Genet Epidemiol Y1 - 2014 A1 - Wang, Tao A1 - Zhou, Baiyu A1 - Guo, Tingwei A1 - Bidlingmaier, Martin A1 - Wallaschofski, Henri A1 - Teumer, Alexander A1 - Vasan, Ramachandran S A1 - Kaplan, Robert C KW - Computer Simulation KW - Genetic Linkage KW - Genome KW - Genome-Wide Association Study KW - Humans KW - Insulin-Like Growth Factor I KW - Meta-Analysis as Topic KW - Models, Genetic KW - Polymorphism, Single Nucleotide KW - Sample Size AB -

Genome-wide association studies (GWAS) offer an excellent opportunity to identify the genetic variants underlying complex human diseases. Successful utilization of this approach requires a large sample size to identify single nucleotide polymorphisms (SNPs) with subtle effects. Meta-analysis is a cost-efficient means to achieve large sample size by combining data from multiple independent GWAS; however, results from studies performed on different populations can be variable due to various reasons, including varied linkage equilibrium structures as well as gene-gene and gene-environment interactions. Nevertheless, one should expect effects of the SNP are more similar between similar populations than those between populations with quite different genetic and environmental backgrounds. Prior information on populations of GWAS is often not considered in current meta-analysis methods, rendering such analyses less optimal for the detecting association. This article describes a test that improves meta-analysis to incorporate variable heterogeneity among populations. The proposed method is remarkably simple in computation and hence can be performed in a rapid fashion in the setting of GWAS. Simulation results demonstrate the validity and higher power of the proposed method over conventional methods in the presence of heterogeneity. As a demonstration, we applied the test to real GWAS data to identify SNPs associated with circulating insulin-like growth factor I concentrations.

VL - 38 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24446417?dopt=Abstract ER - TY - JOUR T1 - Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium. JF - PLoS One Y1 - 2015 A1 - Bis, Joshua C A1 - Sitlani, Colleen A1 - Irvin, Ryan A1 - Avery, Christy L A1 - Smith, Albert Vernon A1 - Sun, Fangui A1 - Evans, Daniel S A1 - Musani, Solomon K A1 - Li, Xiaohui A1 - Trompet, Stella A1 - Krijthe, Bouwe P A1 - Harris, Tamara B A1 - Quibrera, P Miguel A1 - Brody, Jennifer A A1 - Demissie, Serkalem A1 - Davis, Barry R A1 - Wiggins, Kerri L A1 - Tranah, Gregory J A1 - Lange, Leslie A A1 - Sotoodehnia, Nona A1 - Stott, David J A1 - Franco, Oscar H A1 - Launer, Lenore J A1 - Stürmer, Til A1 - Taylor, Kent D A1 - Cupples, L Adrienne A1 - Eckfeldt, John H A1 - Smith, Nicholas L A1 - Liu, Yongmei A1 - Wilson, James G A1 - Heckbert, Susan R A1 - Buckley, Brendan M A1 - Ikram, M Arfan A1 - Boerwinkle, Eric A1 - Chen, Yii-Der Ida A1 - de Craen, Anton J M A1 - Uitterlinden, André G A1 - Rotter, Jerome I A1 - Ford, Ian A1 - Hofman, Albert A1 - Sattar, Naveed A1 - Slagboom, P Eline A1 - Westendorp, Rudi G J A1 - Gudnason, Vilmundur A1 - Vasan, Ramachandran S A1 - Lumley, Thomas A1 - Cummings, Steven R A1 - Taylor, Herman A A1 - Post, Wendy A1 - Jukema, J Wouter A1 - Stricker, Bruno H A1 - Whitsel, Eric A A1 - Psaty, Bruce M A1 - Arnett, Donna KW - African Americans KW - Aged KW - Antihypertensive Agents KW - Cardiovascular Diseases KW - European Continental Ancestry Group KW - Female KW - Genome-Wide Association Study KW - Humans KW - Hypertension KW - Incidence KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Treatment Outcome AB -

BACKGROUND: Hypertension is a major risk factor for a spectrum of cardiovascular diseases (CVD), including myocardial infarction, sudden death, and stroke. In the US, over 65 million people have high blood pressure and a large proportion of these individuals are prescribed antihypertensive medications. Although large long-term clinical trials conducted in the last several decades have identified a number of effective antihypertensive treatments that reduce the risk of future clinical complications, responses to therapy and protection from cardiovascular events vary among individuals.

METHODS: Using a genome-wide association study among 21,267 participants with pharmaceutically treated hypertension, we explored the hypothesis that genetic variants might influence or modify the effectiveness of common antihypertensive therapies on the risk of major cardiovascular outcomes. The classes of drug treatments included angiotensin-converting enzyme inhibitors, beta-blockers, calcium channel blockers, and diuretics. In the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, each study performed array-based genome-wide genotyping, imputed to HapMap Phase II reference panels, and used additive genetic models in proportional hazards or logistic regression models to evaluate drug-gene interactions for each of four therapeutic drug classes. We used meta-analysis to combine study-specific interaction estimates for approximately 2 million single nucleotide polymorphisms (SNPs) in a discovery analysis among 15,375 European Ancestry participants (3,527 CVD cases) with targeted follow-up in a case-only study of 1,751 European Ancestry GenHAT participants as well as among 4,141 African-Americans (1,267 CVD cases).

RESULTS: Although drug-SNP interactions were biologically plausible, exposures and outcomes were well measured, and power was sufficient to detect modest interactions, we did not identify any statistically significant interactions from the four antihypertensive therapy meta-analyses (Pinteraction > 5.0×10-8). Similarly, findings were null for meta-analyses restricted to 66 SNPs with significant main effects on coronary artery disease or blood pressure from large published genome-wide association studies (Pinteraction ≥ 0.01). Our results suggest that there are no major pharmacogenetic influences of common SNPs on the relationship between blood pressure medications and the risk of incident CVD.

VL - 10 IS - 10 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26516778?dopt=Abstract ER - TY - JOUR T1 - Association of the IGF1 gene with fasting insulin levels. JF - Eur J Hum Genet Y1 - 2016 A1 - Willems, Sara M A1 - Cornes, Belinda K A1 - Brody, Jennifer A A1 - Morrison, Alanna C A1 - Lipovich, Leonard A1 - Dauriz, Marco A1 - Chen, Yuning A1 - Liu, Ching-Ti A1 - Rybin, Denis V A1 - Gibbs, Richard A A1 - Muzny, Donna A1 - Pankow, James S A1 - Psaty, Bruce M A1 - Boerwinkle, Eric A1 - Rotter, Jerome I A1 - Siscovick, David S A1 - Vasan, Ramachandran S A1 - Kaplan, Robert C A1 - Isaacs, Aaron A1 - Dupuis, Josée A1 - van Duijn, Cornelia M A1 - Meigs, James B AB -

Insulin-like growth factor 1 (IGF-I) has been associated with insulin resistance. Genome-wide association studies (GWASs) of fasting insulin (FI) identified single-nucleotide variants (SNVs) near the IGF1 gene, raising two hypotheses: (1) these associations are mediated by IGF-I levels and (2) these noncoding variants either tag other functional variants in the region or are directly functional. In our study, analyses including 5141 individuals from population-based cohorts suggest that FI associations near IGF1 are not mediated by IGF-I. Analyses of targeted sequencing data in 3539 individuals reveal a large number of novel rare variants at the IGF1 locus and show a FI association with a subset of rare nonsynonymous variants (PSKAT=5.7 × 10(-4)). Conditional analyses suggest that this association is partly explained by the GWAS signal and the presence of a residual independent rare variant effect (Pconditional=0.019). Annotation using ENCODE data suggests that the GWAS variants may have a direct functional role in insulin biology. In conclusion, our study provides insight into variation present at the IGF1 locus and into the genetic architecture underlying FI levels, suggesting that FI associations of SNVs near IGF1 are not mediated by IGF-I and suggesting a role for both rare nonsynonymous and common functional variants in insulin biology.

VL - 24 IS - 9 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26860063?dopt=Abstract ER - TY - JOUR T1 - Discovery of Genetic Variation on Chromosome 5q22 Associated with Mortality in Heart Failure. JF - PLoS Genet Y1 - 2016 A1 - Smith, J Gustav A1 - Felix, Janine F A1 - Morrison, Alanna C A1 - Kalogeropoulos, Andreas A1 - Trompet, Stella A1 - Wilk, Jemma B A1 - Gidlöf, Olof A1 - Wang, Xinchen A1 - Morley, Michael A1 - Mendelson, Michael A1 - Joehanes, Roby A1 - Ligthart, Symen A1 - Shan, Xiaoyin A1 - Bis, Joshua C A1 - Wang, Ying A A1 - Sjögren, Marketa A1 - Ngwa, Julius A1 - Brandimarto, Jeffrey A1 - Stott, David J A1 - Aguilar, David A1 - Rice, Kenneth M A1 - Sesso, Howard D A1 - Demissie, Serkalem A1 - Buckley, Brendan M A1 - Taylor, Kent D A1 - Ford, Ian A1 - Yao, Chen A1 - Liu, Chunyu A1 - Sotoodehnia, Nona A1 - van der Harst, Pim A1 - Stricker, Bruno H Ch A1 - Kritchevsky, Stephen B A1 - Liu, Yongmei A1 - Gaziano, J Michael A1 - Hofman, Albert A1 - Moravec, Christine S A1 - Uitterlinden, André G A1 - Kellis, Manolis A1 - van Meurs, Joyce B A1 - Margulies, Kenneth B A1 - Dehghan, Abbas A1 - Levy, Daniel A1 - Olde, Björn A1 - Psaty, Bruce M A1 - Cupples, L Adrienne A1 - Jukema, J Wouter A1 - Djoussé, Luc A1 - Franco, Oscar H A1 - Boerwinkle, Eric A1 - Boyer, Laurie A A1 - Newton-Cheh, Christopher A1 - Butler, Javed A1 - Vasan, Ramachandran S A1 - Cappola, Thomas P A1 - Smith, Nicholas L AB -

Failure of the human heart to maintain sufficient output of blood for the demands of the body, heart failure, is a common condition with high mortality even with modern therapeutic alternatives. To identify molecular determinants of mortality in patients with new-onset heart failure, we performed a meta-analysis of genome-wide association studies and follow-up genotyping in independent populations. We identified and replicated an association for a genetic variant on chromosome 5q22 with 36% increased risk of death in subjects with heart failure (rs9885413, P = 2.7x10-9). We provide evidence from reporter gene assays, computational predictions and epigenomic marks that this polymorphism increases activity of an enhancer region active in multiple human tissues. The polymorphism was further reproducibly associated with a DNA methylation signature in whole blood (P = 4.5x10-40) that also associated with allergic sensitization and expression in blood of the cytokine TSLP (P = 1.1x10-4). Knockdown of the transcription factor predicted to bind the enhancer region (NHLH1) in a human cell line (HEK293) expressing NHLH1 resulted in lower TSLP expression. In addition, we observed evidence of recent positive selection acting on the risk allele in populations of African descent. Our findings provide novel genetic leads to factors that influence mortality in patients with heart failure.

VL - 12 IS - 5 U1 - http://www.ncbi.nlm.nih.gov/pubmed/27149122?dopt=Abstract ER - TY - JOUR T1 - Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium. JF - PLoS One Y1 - 2016 A1 - Dehghan, Abbas A1 - Bis, Joshua C A1 - White, Charles C A1 - Smith, Albert Vernon A1 - Morrison, Alanna C A1 - Cupples, L Adrienne A1 - Trompet, Stella A1 - Chasman, Daniel I A1 - Lumley, Thomas A1 - Völker, Uwe A1 - Buckley, Brendan M A1 - Ding, Jingzhong A1 - Jensen, Majken K A1 - Folsom, Aaron R A1 - Kritchevsky, Stephen B A1 - Girman, Cynthia J A1 - Ford, Ian A1 - Dörr, Marcus A1 - Salomaa, Veikko A1 - Uitterlinden, André G A1 - Eiriksdottir, Gudny A1 - Vasan, Ramachandran S A1 - Franceschini, Nora A1 - Carty, Cara L A1 - Virtamo, Jarmo A1 - Demissie, Serkalem A1 - Amouyel, Philippe A1 - Arveiler, Dominique A1 - Heckbert, Susan R A1 - Ferrieres, Jean A1 - Ducimetiere, Pierre A1 - Smith, Nicholas L A1 - Wang, Ying A A1 - Siscovick, David S A1 - Rice, Kenneth M A1 - Wiklund, Per-Gunnar A1 - Taylor, Kent D A1 - Evans, Alun A1 - Kee, Frank A1 - Rotter, Jerome I A1 - Karvanen, Juha A1 - Kuulasmaa, Kari A1 - Heiss, Gerardo A1 - Kraft, Peter A1 - Launer, Lenore J A1 - Hofman, Albert A1 - Markus, Marcello R P A1 - Rose, Lynda M A1 - Silander, Kaisa A1 - Wagner, Peter A1 - Benjamin, Emelia J A1 - Lohman, Kurt A1 - Stott, David J A1 - Rivadeneira, Fernando A1 - Harris, Tamara B A1 - Levy, Daniel A1 - Liu, Yongmei A1 - Rimm, Eric B A1 - Jukema, J Wouter A1 - Völzke, Henry A1 - Ridker, Paul M A1 - Blankenberg, Stefan A1 - Franco, Oscar H A1 - Gudnason, Vilmundur A1 - Psaty, Bruce M A1 - Boerwinkle, Eric A1 - O'Donnell, Christopher J KW - Aged KW - Cohort Studies KW - Cooperative Behavior KW - Coronary Artery Disease KW - Female KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Male KW - Middle Aged KW - Myocardial Infarction KW - Polymorphism, Single Nucleotide KW - Prospective Studies AB -

BACKGROUND: Data are limited on genome-wide association studies (GWAS) for incident coronary heart disease (CHD). Moreover, it is not known whether genetic variants identified to date also associate with risk of CHD in a prospective setting.

METHODS: We performed a two-stage GWAS analysis of incident myocardial infarction (MI) and CHD in a total of 64,297 individuals (including 3898 MI cases, 5465 CHD cases). SNPs that passed an arbitrary threshold of 5×10-6 in Stage I were taken to Stage II for further discovery. Furthermore, in an analysis of prognosis, we studied whether known SNPs from former GWAS were associated with total mortality in individuals who experienced MI during follow-up.

RESULTS: In Stage I 15 loci passed the threshold of 5×10-6; 8 loci for MI and 8 loci for CHD, for which one locus overlapped and none were reported in previous GWAS meta-analyses. We took 60 SNPs representing these 15 loci to Stage II of discovery. Four SNPs near QKI showed nominally significant association with MI (p-value<8.8×10-3) and three exceeded the genome-wide significance threshold when Stage I and Stage II results were combined (top SNP rs6941513: p = 6.2×10-9). Despite excellent power, the 9p21 locus SNP (rs1333049) was only modestly associated with MI (HR = 1.09, p-value = 0.02) and marginally with CHD (HR = 1.06, p-value = 0.08). Among an inception cohort of those who experienced MI during follow-up, the risk allele of rs1333049 was associated with a decreased risk of subsequent mortality (HR = 0.90, p-value = 3.2×10-3).

CONCLUSIONS: QKI represents a novel locus that may serve as a predictor of incident CHD in prospective studies. The association of the 9p21 locus both with increased risk of first myocardial infarction and longer survival after MI highlights the importance of study design in investigating genetic determinants of complex disorders.

VL - 11 IS - 3 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26950853?dopt=Abstract ER - TY - JOUR T1 - Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits. JF - Aging Cell Y1 - 2016 A1 - Teumer, Alexander A1 - Qi, Qibin A1 - Nethander, Maria A1 - Aschard, Hugues A1 - Bandinelli, Stefania A1 - Beekman, Marian A1 - Berndt, Sonja I A1 - Bidlingmaier, Martin A1 - Broer, Linda A1 - Cappola, Anne A1 - Ceda, Gian Paolo A1 - Chanock, Stephen A1 - Chen, Ming-Huei A1 - Chen, Tai C A1 - Chen, Yii-Der Ida A1 - Chung, Jonathan A1 - Del Greco Miglianico, Fabiola A1 - Eriksson, Joel A1 - Ferrucci, Luigi A1 - Friedrich, Nele A1 - Gnewuch, Carsten A1 - Goodarzi, Mark O A1 - Grarup, Niels A1 - Guo, Tingwei A1 - Hammer, Elke A1 - Hayes, Richard B A1 - Hicks, Andrew A A1 - Hofman, Albert A1 - Houwing-Duistermaat, Jeanine J A1 - Hu, Frank A1 - Hunter, David J A1 - Husemoen, Lise L A1 - Isaacs, Aaron A1 - Jacobs, Kevin B A1 - Janssen, Joop A M J L A1 - Jansson, John-Olov A1 - Jehmlich, Nico A1 - Johnson, Simon A1 - Juul, Anders A1 - Karlsson, Magnus A1 - Kilpeläinen, Tuomas O A1 - Kovacs, Peter A1 - Kraft, Peter A1 - Li, Chao A1 - Linneberg, Allan A1 - Liu, Yongmei A1 - Loos, Ruth J F A1 - Lorentzon, Mattias A1 - Lu, Yingchang A1 - Maggio, Marcello A1 - Mägi, Reedik A1 - Meigs, James A1 - Mellström, Dan A1 - Nauck, Matthias A1 - Newman, Anne B A1 - Pollak, Michael N A1 - Pramstaller, Peter P A1 - Prokopenko, Inga A1 - Psaty, Bruce M A1 - Reincke, Martin A1 - Rimm, Eric B A1 - Rotter, Jerome I A1 - Saint Pierre, Aude A1 - Schurmann, Claudia A1 - Seshadri, Sudha A1 - Sjögren, Klara A1 - Slagboom, P Eline A1 - Strickler, Howard D A1 - Stumvoll, Michael A1 - Suh, Yousin A1 - Sun, Qi A1 - Zhang, Cuilin A1 - Svensson, Johan A1 - Tanaka, Toshiko A1 - Tare, Archana A1 - Tönjes, Anke A1 - Uh, Hae-Won A1 - van Duijn, Cornelia M A1 - van Heemst, Diana A1 - Vandenput, Liesbeth A1 - Vasan, Ramachandran S A1 - Völker, Uwe A1 - Willems, Sara M A1 - Ohlsson, Claes A1 - Wallaschofski, Henri A1 - Kaplan, Robert C AB -

The growth hormone/insulin-like growth factor (IGF) axis can be manipulated in animal models to promote longevity, and IGF-related proteins including IGF-I and IGF-binding protein-3 (IGFBP-3) have also been implicated in risk of human diseases including cardiovascular diseases, diabetes, and cancer. Through genomewide association study of up to 30 884 adults of European ancestry from 21 studies, we confirmed and extended the list of previously identified loci associated with circulating IGF-I and IGFBP-3 concentrations (IGF1, IGFBP3, GCKR, TNS3, GHSR, FOXO3, ASXL2, NUBP2/IGFALS, SORCS2, and CELSR2). Significant sex interactions, which were characterized by different genotype-phenotype associations between men and women, were found only for associations of IGFBP-3 concentrations with SNPs at the loci IGFBP3 and SORCS2. Analyses of SNPs, gene expression, and protein levels suggested that interplay between IGFBP3 and genes within the NUBP2 locus (IGFALS and HAGH) may affect circulating IGF-I and IGFBP-3 concentrations. The IGF-I-decreasing allele of SNP rs934073, which is an eQTL of ASXL2, was associated with lower adiposity and higher likelihood of survival beyond 90 years. The known longevity-associated variant rs2153960 (FOXO3) was observed to be a genomewide significant SNP for IGF-I concentrations. Bioinformatics analysis suggested enrichment of putative regulatory elements among these IGF-I- and IGFBP-3-associated loci, particularly of rs646776 at CELSR2. In conclusion, this study identified several loci associated with circulating IGF-I and IGFBP-3 concentrations and provides clues to the potential role of the IGF axis in mediating effects of known (FOXO3) and novel (ASXL2) longevity-associated loci.

VL - 15 IS - 5 U1 - http://www.ncbi.nlm.nih.gov/pubmed/27329260?dopt=Abstract ER - TY - JOUR T1 - Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. JF - Nat Genet Y1 - 2016 A1 - Liu, Chunyu A1 - Kraja, Aldi T A1 - Smith, Jennifer A A1 - Brody, Jennifer A A1 - Franceschini, Nora A1 - Bis, Joshua C A1 - Rice, Kenneth A1 - Morrison, Alanna C A1 - Lu, Yingchang A1 - Weiss, Stefan A1 - Guo, Xiuqing A1 - Palmas, Walter A1 - Martin, Lisa W A1 - Chen, Yii-Der Ida A1 - Surendran, Praveen A1 - Drenos, Fotios A1 - Cook, James P A1 - Auer, Paul L A1 - Chu, Audrey Y A1 - Giri, Ayush A1 - Zhao, Wei A1 - Jakobsdottir, Johanna A1 - Lin, Li-An A1 - Stafford, Jeanette M A1 - Amin, Najaf A1 - Mei, Hao A1 - Yao, Jie A1 - Voorman, Arend A1 - Larson, Martin G A1 - Grove, Megan L A1 - Smith, Albert V A1 - Hwang, Shih-Jen A1 - Chen, Han A1 - Huan, Tianxiao A1 - Kosova, Gulum A1 - Stitziel, Nathan O A1 - Kathiresan, Sekar A1 - Samani, Nilesh A1 - Schunkert, Heribert A1 - Deloukas, Panos A1 - Li, Man A1 - Fuchsberger, Christian A1 - Pattaro, Cristian A1 - Gorski, Mathias A1 - Kooperberg, Charles A1 - Papanicolaou, George J A1 - Rossouw, Jacques E A1 - Faul, Jessica D A1 - Kardia, Sharon L R A1 - Bouchard, Claude A1 - Raffel, Leslie J A1 - Uitterlinden, André G A1 - Franco, Oscar H A1 - Vasan, Ramachandran S A1 - O'Donnell, Christopher J A1 - Taylor, Kent D A1 - Liu, Kiang A1 - Bottinger, Erwin P A1 - Gottesman, Omri A1 - Daw, E Warwick A1 - Giulianini, Franco A1 - Ganesh, Santhi A1 - Salfati, Elias A1 - Harris, Tamara B A1 - Launer, Lenore J A1 - Dörr, Marcus A1 - Felix, Stephan B A1 - Rettig, Rainer A1 - Völzke, Henry A1 - Kim, Eric A1 - Lee, Wen-Jane A1 - Lee, I-Te A1 - Sheu, Wayne H-H A1 - Tsosie, Krystal S A1 - Edwards, Digna R Velez A1 - Liu, Yongmei A1 - Correa, Adolfo A1 - Weir, David R A1 - Völker, Uwe A1 - Ridker, Paul M A1 - Boerwinkle, Eric A1 - Gudnason, Vilmundur A1 - Reiner, Alexander P A1 - van Duijn, Cornelia M A1 - Borecki, Ingrid B A1 - Edwards, Todd L A1 - Chakravarti, Aravinda A1 - Rotter, Jerome I A1 - Psaty, Bruce M A1 - Loos, Ruth J F A1 - Fornage, Myriam A1 - Ehret, Georg B A1 - Newton-Cheh, Christopher A1 - Levy, Daniel A1 - Chasman, Daniel I AB -

Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.

VL - 48 IS - 10 ER - TY - JOUR T1 - Meta-analysis of genome-wide association studies of HDL cholesterol response to statins. JF - J Med Genet Y1 - 2016 A1 - Postmus, Iris A1 - Warren, Helen R A1 - Trompet, Stella A1 - Arsenault, Benoit J A1 - Avery, Christy L A1 - Bis, Joshua C A1 - Chasman, Daniel I A1 - de Keyser, Catherine E A1 - Deshmukh, Harshal A A1 - Evans, Daniel S A1 - Feng, QiPing A1 - Li, Xiaohui A1 - Smit, Roelof A J A1 - Smith, Albert V A1 - Sun, Fangui A1 - Taylor, Kent D A1 - Arnold, Alice M A1 - Barnes, Michael R A1 - Barratt, Bryan J A1 - Betteridge, John A1 - Boekholdt, S Matthijs A1 - Boerwinkle, Eric A1 - Buckley, Brendan M A1 - Chen, Y-D Ida A1 - de Craen, Anton J M A1 - Cummings, Steven R A1 - Denny, Joshua C A1 - Dubé, Marie Pierre A1 - Durrington, Paul N A1 - Eiriksdottir, Gudny A1 - Ford, Ian A1 - Guo, Xiuqing A1 - Harris, Tamara B A1 - Heckbert, Susan R A1 - Hofman, Albert A1 - Hovingh, G Kees A1 - Kastelein, John J P A1 - Launer, Leonore J A1 - Liu, Ching-Ti A1 - Liu, Yongmei A1 - Lumley, Thomas A1 - McKeigue, Paul M A1 - Munroe, Patricia B A1 - Neil, Andrew A1 - Nickerson, Deborah A A1 - Nyberg, Fredrik A1 - O'Brien, Eoin A1 - O'Donnell, Christopher J A1 - Post, Wendy A1 - Poulter, Neil A1 - Vasan, Ramachandran S A1 - Rice, Kenneth A1 - Rich, Stephen S A1 - Rivadeneira, Fernando A1 - Sattar, Naveed A1 - Sever, Peter A1 - Shaw-Hawkins, Sue A1 - Shields, Denis C A1 - Slagboom, P Eline A1 - Smith, Nicholas L A1 - Smith, Joshua D A1 - Sotoodehnia, Nona A1 - Stanton, Alice A1 - Stott, David J A1 - Stricker, Bruno H A1 - Stürmer, Til A1 - Uitterlinden, André G A1 - Wei, Wei-Qi A1 - Westendorp, Rudi G J A1 - Whitsel, Eric A A1 - Wiggins, Kerri L A1 - Wilke, Russell A A1 - Ballantyne, Christie M A1 - Colhoun, Helen M A1 - Cupples, L Adrienne A1 - Franco, Oscar H A1 - Gudnason, Vilmundur A1 - Hitman, Graham A1 - Palmer, Colin N A A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - Stafford, Jeanette M A1 - Stein, Charles M A1 - Tardif, Jean-Claude A1 - Caulfield, Mark J A1 - Jukema, J Wouter A1 - Rotter, Jerome I A1 - Krauss, Ronald M AB -

BACKGROUND: In addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation.

METHODS AND RESULTS: We performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p<1×10(-4) from the 16 769 statin-treated participants in the first analysis stage were followed up in an independent group of 10 951 statin-treated individuals, providing a total sample size of 27 720 individuals. The only associations of genome-wide significance (p<5×10(-8)) were between minor alleles at the CETP locus and greater HDL-C response to statin treatment.

CONCLUSIONS: Based on results from this study that included a relatively large sample size, we suggest that CETP may be the only detectable locus with common genetic variants that influence HDL-C response to statins substantially in individuals of European descent. Although CETP is known to be associated with HDL-C, we provide evidence that this pharmacogenetic effect is independent of its association with baseline HDL-C levels.

VL - 53 IS - 12 ER - TY - JOUR T1 - Predicting Heart Failure With Preserved and Reduced Ejection Fraction: The International Collaboration on Heart Failure Subtypes. JF - Circ Heart Fail Y1 - 2016 A1 - Ho, Jennifer E A1 - Enserro, Danielle A1 - Brouwers, Frank P A1 - Kizer, Jorge R A1 - Shah, Sanjiv J A1 - Psaty, Bruce M A1 - Bartz, Traci M A1 - Santhanakrishnan, Rajalakshmi A1 - Lee, Douglas S A1 - Chan, Cheeling A1 - Liu, Kiang A1 - Blaha, Michael J A1 - Hillege, Hans L A1 - van der Harst, Pim A1 - van Gilst, Wiek H A1 - Kop, Willem J A1 - Gansevoort, Ron T A1 - Vasan, Ramachandran S A1 - Gardin, Julius M A1 - Levy, Daniel A1 - Gottdiener, John S A1 - de Boer, Rudolf A A1 - Larson, Martin G AB -

BACKGROUND: Heart failure (HF) is a prevalent and deadly disease, and preventive strategies focused on at-risk individuals are needed. Current HF prediction models have not examined HF subtypes. We sought to develop and validate risk prediction models for HF with preserved and reduced ejection fraction (HFpEF, HFrEF).

METHODS AND RESULTS: Of 28,820 participants from 4 community-based cohorts, 982 developed incident HFpEF and 909 HFrEF during a median follow-up of 12 years. Three cohorts were combined, and a 2:1 random split was used for derivation and internal validation, with the fourth cohort as external validation. Models accounted for multiple competing risks (death, other HF subtype, and unclassified HF). The HFpEF-specific model included age, sex, systolic blood pressure, body mass index, antihypertensive treatment, and previous myocardial infarction; it had good discrimination in derivation (c-statistic 0.80; 95% confidence interval [CI], 0.78-0.82) and validation samples (internal: 0.79; 95% CI, 0.77-0.82 and external: 0.76; 95% CI: 0.71-0.80). The HFrEF-specific model additionally included smoking, left ventricular hypertrophy, left bundle branch block, and diabetes mellitus; it had good discrimination in derivation (c-statistic 0.82; 95% CI, 0.80-0.84) and validation samples (internal: 0.80; 95% CI, 0.78-0.83 and external: 0.76; 95% CI, 0.71-0.80). Age was more strongly associated with HFpEF, and male sex, left ventricular hypertrophy, bundle branch block, previous myocardial infarction, and smoking with HFrEF (P value for each comparison ≤0.02).

CONCLUSIONS: We describe and validate risk prediction models for HF subtypes and show good discrimination in a large sample. Some risk factors differed between HFpEF and HFrEF, supporting the notion of pathogenetic differences among HF subtypes.

VL - 9 IS - 6 ER - TY - JOUR T1 - Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology. JF - Nat Genet Y1 - 2017 A1 - Brody, Jennifer A A1 - Morrison, Alanna C A1 - Bis, Joshua C A1 - O'Connell, Jeffrey R A1 - Brown, Michael R A1 - Huffman, Jennifer E A1 - Ames, Darren C A1 - Carroll, Andrew A1 - Conomos, Matthew P A1 - Gabriel, Stacey A1 - Gibbs, Richard A A1 - Gogarten, Stephanie M A1 - Gupta, Namrata A1 - Jaquish, Cashell E A1 - Johnson, Andrew D A1 - Lewis, Joshua P A1 - Liu, Xiaoming A1 - Manning, Alisa K A1 - Papanicolaou, George J A1 - Pitsillides, Achilleas N A1 - Rice, Kenneth M A1 - Salerno, William A1 - Sitlani, Colleen M A1 - Smith, Nicholas L A1 - Heckbert, Susan R A1 - Laurie, Cathy C A1 - Mitchell, Braxton D A1 - Vasan, Ramachandran S A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Wilson, James G A1 - Boerwinkle, Eric A1 - Psaty, Bruce M A1 - Cupples, L Adrienne VL - 49 IS - 11 ER - TY - JOUR T1 - Detection of genetic loci associated with plasma fetuin-A: A meta-analysis of genome-wide association studies from the CHARGE Consortium. JF - Hum Mol Genet Y1 - 2017 A1 - Jensen, Majken K A1 - Jensen, Richard A A1 - Mukamal, Kenneth J A1 - Guo, Xiuqing A1 - Yao, Jie A1 - Sun, Qi A1 - Cornelis, Marilyn A1 - Liu, Yongmei A1 - Chen, Ming-Huei A1 - Kizer, Jorge R A1 - Djoussé, Luc A1 - Siscovick, David S A1 - Psaty, Bruce M A1 - Zmuda, Joseph M A1 - Rotter, Jerome I A1 - Garcia, Melissa A1 - Harris, Tamara A1 - Chen, Ida A1 - Goodarzi, Mark O A1 - Nalls, Michael A A1 - Keller, Margaux A1 - Arnold, Alice M A1 - Newman, Anne A1 - Hoogeeven, Ron C A1 - Rexrode, Kathryn M A1 - Rimm, Eric B A1 - Hu, Frank B A1 - Vasan, Ramachandran S A1 - Katz, Ronit A1 - Pankow, James S A1 - Ix, Joachim H AB -

Plasma fetuin-A is associated with type 2 diabetes, and AHSG, the gene encoding fetuin-A, has been identified as a susceptibility locus for diabetes and metabolic syndrome. Thus far, unbiased investigations of the genetic determinants of plasma fetuin-A concentrations have not been conducted. We searched for single nucleotide polymorphisms (SNPs) related to fetuin-A concentrations by a genome-wide association study in six population-based studies.We examined the association of fetuin-A levels with ∼ 2.5 million genotyped and imputed SNPs in 9,055 participants of European descent and 2,119 African Americans. In both ethnicities, strongest associations were centered in a region with a high degree of LD near the AHSG locus. Among 136 genome-wide significant (p < 0.05x10-8) SNPs near the AHSG locus, the top SNP was rs4917 (p = 1.27x10-303), a known coding SNP in exon 6 that is associated with a 0.06 g/L (∼13%) lower fetuin-A level. This variant alone explained 14% of the variation in fetuin-A levels. Analyses conditioned on rs4917 indicated that the strong association with the AHSG locus stems from additional independent associations of multiple variants among European Americans. In conclusion, levels of fetuin-A in plasma are strongly associated with SNPs in its encoding gene, AHSG, but not elsewhere in the genome. Given the strength of the associations observed for multiple independent SNPs, the AHSG gene is an example of a candidate locus suitable for additional investigations including fine mapping to elucidate the biological basis of the findings and further functional experiments to clarify AHSG as a potential therapeutic target.

ER - TY - JOUR T1 - A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. JF - J Med Genet Y1 - 2017 A1 - Noordam, Raymond A1 - Sitlani, Colleen M A1 - Avery, Christy L A1 - Stewart, James D A1 - Gogarten, Stephanie M A1 - Wiggins, Kerri L A1 - Trompet, Stella A1 - Warren, Helen R A1 - Sun, Fangui A1 - Evans, Daniel S A1 - Li, Xiaohui A1 - Li, Jin A1 - Smith, Albert V A1 - Bis, Joshua C A1 - Brody, Jennifer A A1 - Busch, Evan L A1 - Caulfield, Mark J A1 - Chen, Yii-der I A1 - Cummings, Steven R A1 - Cupples, L Adrienne A1 - Duan, Qing A1 - Franco, Oscar H A1 - Méndez-Giráldez, Rául A1 - Harris, Tamara B A1 - Heckbert, Susan R A1 - van Heemst, Diana A1 - Hofman, Albert A1 - Floyd, James S A1 - Kors, Jan A A1 - Launer, Lenore J A1 - Li, Yun A1 - Li-Gao, Ruifang A1 - Lange, Leslie A A1 - Lin, Henry J A1 - de Mutsert, Renée A1 - Napier, Melanie D A1 - Newton-Cheh, Christopher A1 - Poulter, Neil A1 - Reiner, Alexander P A1 - Rice, Kenneth M A1 - Roach, Jeffrey A1 - Rodriguez, Carlos J A1 - Rosendaal, Frits R A1 - Sattar, Naveed A1 - Sever, Peter A1 - Seyerle, Amanda A A1 - Slagboom, P Eline A1 - Soliman, Elsayed Z A1 - Sotoodehnia, Nona A1 - Stott, David J A1 - Stürmer, Til A1 - Taylor, Kent D A1 - Thornton, Timothy A A1 - Uitterlinden, André G A1 - Wilhelmsen, Kirk C A1 - Wilson, James G A1 - Gudnason, Vilmundur A1 - Jukema, J Wouter A1 - Laurie, Cathy C A1 - Liu, Yongmei A1 - Mook-Kanamori, Dennis O A1 - Munroe, Patricia B A1 - Rotter, Jerome I A1 - Vasan, Ramachandran S A1 - Psaty, Bruce M A1 - Stricker, Bruno H A1 - Whitsel, Eric A AB -

BACKGROUND: Increased heart rate and a prolonged QT interval are important risk factors for cardiovascular morbidity and mortality, and can be influenced by the use of various medications, including tricyclic/tetracyclic antidepressants (TCAs). We aim to identify genetic loci that modify the association between TCA use and RR and QT intervals.

METHODS AND RESULTS: We conducted race/ethnic-specific genome-wide interaction analyses (with HapMap phase II imputed reference panel imputation) of TCAs and resting RR and QT intervals in cohorts of European (n=45 706; n=1417 TCA users), African (n=10 235; n=296 TCA users) and Hispanic/Latino (n=13 808; n=147 TCA users) ancestry, adjusted for clinical covariates. Among the populations of European ancestry, two genome-wide significant loci were identified for RR interval: rs6737205 in BRE (β=56.3, pinteraction=3.9e(-9)) and rs9830388 in UBE2E2 (β=25.2, pinteraction=1.7e(-8)). In Hispanic/Latino cohorts, rs2291477 in TGFBR3 significantly modified the association between TCAs and QT intervals (β=9.3, pinteraction=2.55e(-8)). In the meta-analyses of the other ethnicities, these loci either were excluded from the meta-analyses (as part of quality control), or their effects did not reach the level of nominal statistical significance (pinteraction>0.05). No new variants were identified in these ethnicities. No additional loci were identified after inverse-variance-weighted meta-analysis of the three ancestries.

CONCLUSIONS: Among Europeans, TCA interactions with variants in BRE and UBE2E2 were identified in relation to RR intervals. Among Hispanic/Latinos, variants in TGFBR3 modified the relation between TCAs and QT intervals. Future studies are required to confirm our results.

VL - 54 IS - 5 ER - TY - JOUR T1 - Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function. JF - J Clin Invest Y1 - 2017 A1 - Wild, Philipp S A1 - Felix, Janine F A1 - Schillert, Arne A1 - Teumer, Alexander A1 - Chen, Ming-Huei A1 - Leening, Maarten J G A1 - Völker, Uwe A1 - Großmann, Vera A1 - Brody, Jennifer A A1 - Irvin, Marguerite R A1 - Shah, Sanjiv J A1 - Pramana, Setia A1 - Lieb, Wolfgang A1 - Schmidt, Reinhold A1 - Stanton, Alice V A1 - Malzahn, Dörthe A1 - Smith, Albert Vernon A1 - Sundström, Johan A1 - Minelli, Cosetta A1 - Ruggiero, Daniela A1 - Lyytikäinen, Leo-Pekka A1 - Tiller, Daniel A1 - Smith, J Gustav A1 - Monnereau, Claire A1 - Di Tullio, Marco R A1 - Musani, Solomon K A1 - Morrison, Alanna C A1 - Pers, Tune H A1 - Morley, Michael A1 - Kleber, Marcus E A1 - Aragam, Jayashri A1 - Benjamin, Emelia J A1 - Bis, Joshua C A1 - Bisping, Egbert A1 - Broeckel, Ulrich A1 - Cheng, Susan A1 - Deckers, Jaap W A1 - del Greco M, Fabiola A1 - Edelmann, Frank A1 - Fornage, Myriam A1 - Franke, Lude A1 - Friedrich, Nele A1 - Harris, Tamara B A1 - Hofer, Edith A1 - Hofman, Albert A1 - Huang, Jie A1 - Hughes, Alun D A1 - Kähönen, Mika A1 - Investigators, Knhi A1 - Kruppa, Jochen A1 - Lackner, Karl J A1 - Lannfelt, Lars A1 - Laskowski, Rafael A1 - Launer, Lenore J A1 - Leosdottir, Margrét A1 - Lin, Honghuang A1 - Lindgren, Cecilia M A1 - Loley, Christina A1 - MacRae, Calum A A1 - Mascalzoni, Deborah A1 - Mayet, Jamil A1 - Medenwald, Daniel A1 - Morris, Andrew P A1 - Müller, Christian A1 - Müller-Nurasyid, Martina A1 - Nappo, Stefania A1 - Nilsson, Peter M A1 - Nuding, Sebastian A1 - Nutile, Teresa A1 - Peters, Annette A1 - Pfeufer, Arne A1 - Pietzner, Diana A1 - Pramstaller, Peter P A1 - Raitakari, Olli T A1 - Rice, Kenneth M A1 - Rivadeneira, Fernando A1 - Rotter, Jerome I A1 - Ruohonen, Saku T A1 - Sacco, Ralph L A1 - Samdarshi, Tandaw E A1 - Schmidt, Helena A1 - Sharp, Andrew S P A1 - Shields, Denis C A1 - Sorice, Rossella A1 - Sotoodehnia, Nona A1 - Stricker, Bruno H A1 - Surendran, Praveen A1 - Thom, Simon A1 - Töglhofer, Anna M A1 - Uitterlinden, André G A1 - Wachter, Rolf A1 - Völzke, Henry A1 - Ziegler, Andreas A1 - Münzel, Thomas A1 - März, Winfried A1 - Cappola, Thomas P A1 - Hirschhorn, Joel N A1 - Mitchell, Gary F A1 - Smith, Nicholas L A1 - Fox, Ervin R A1 - Dueker, Nicole D A1 - Jaddoe, Vincent W V A1 - Melander, Olle A1 - Russ, Martin A1 - Lehtimäki, Terho A1 - Ciullo, Marina A1 - Hicks, Andrew A A1 - Lind, Lars A1 - Gudnason, Vilmundur A1 - Pieske, Burkert A1 - Barron, Anthony J A1 - Zweiker, Robert A1 - Schunkert, Heribert A1 - Ingelsson, Erik A1 - Liu, Kiang A1 - Arnett, Donna K A1 - Psaty, Bruce M A1 - Blankenberg, Stefan A1 - Larson, Martin G A1 - Felix, Stephan B A1 - Franco, Oscar H A1 - Zeller, Tanja A1 - Vasan, Ramachandran S A1 - Dörr, Marcus AB -

BACKGROUND: Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function.

METHODS: A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function.

RESULTS: The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue.

CONCLUSION: The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies.

FUNDING: For detailed information per study, see Acknowledgments.

VL - 127 IS - 5 ER - TY - JOUR T1 - PCSK9 Loss-of-Function Variants, Low-Density Lipoprotein Cholesterol, and Risk of Coronary Heart Disease and Stroke: Data From 9 Studies of Blacks and Whites. JF - Circ Cardiovasc Genet Y1 - 2017 A1 - Kent, Shia T A1 - Rosenson, Robert S A1 - Avery, Christy L A1 - Chen, Yii-der I A1 - Correa, Adolfo A1 - Cummings, Steven R A1 - Cupples, L Adrienne A1 - Cushman, Mary A1 - Evans, Daniel S A1 - Gudnason, Vilmundur A1 - Harris, Tamara B A1 - Howard, George A1 - Irvin, Marguerite R A1 - Judd, Suzanne E A1 - Jukema, J Wouter A1 - Lange, Leslie A1 - Levitan, Emily B A1 - Li, Xiaohui A1 - Liu, Yongmei A1 - Post, Wendy S A1 - Postmus, Iris A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Safford, Monika M A1 - Sitlani, Colleen M A1 - Smith, Albert V A1 - Stewart, James D A1 - Trompet, Stella A1 - Sun, Fangui A1 - Vasan, Ramachandran S A1 - Woolley, J Michael A1 - Whitsel, Eric A A1 - Wiggins, Kerri L A1 - Wilson, James G A1 - Muntner, Paul AB -

BACKGROUND: PCSK9 loss-of-function (LOF) variants allow for the examination of the effects of lifetime reduced low-density lipoprotein cholesterol (LDL-C) on cardiovascular events. We examined the association of PCSK9 LOF variants with LDL-C and incident coronary heart disease and stroke through a meta-analysis of data from 8 observational cohorts and 1 randomized trial of statin therapy.

METHODS AND RESULTS: These 9 studies together included 17 459 blacks with 403 (2.3%) having at least 1 Y142X or C679X variant and 31 306 whites with 955 (3.1%) having at least 1 R46L variant. Unadjusted odds ratios for associations between PCSK9 LOF variants and incident coronary heart disease (851 events in blacks and 2662 events in whites) and stroke (523 events in blacks and 1660 events in whites) were calculated using pooled Mantel-Haenszel estimates with continuity correction factors. Pooling results across studies using fixed-effects inverse-variance-weighted models, PCSK9 LOF variants were associated with 35 mg/dL (95% confidence interval [CI], 32-39) lower LDL-C in blacks and 13 mg/dL (95% CI, 11-16) lower LDL-C in whites. PCSK9 LOF variants were associated with a pooled odds ratio for coronary heart disease of 0.51 (95% CI, 0.28-0.92) in blacks and 0.82 (95% CI, 0.63-1.06) in whites. PCSK9 LOF variants were not associated with incident stroke (odds ratio, 0.84; 95% CI, 0.48-1.47 in blacks and odds ratio, 1.06; 95% CI, 0.80-1.41 in whites).

CONCLUSIONS: PCSK9 LOF variants were associated with lower LDL-C and coronary heart disease incidence. PCSK9 LOF variants were not associated with stroke risk.

VL - 10 IS - 4 ER - TY - JOUR T1 - Predictors and outcomes of heart failure with mid-range ejection fraction. JF - Eur J Heart Fail Y1 - 2017 A1 - Bhambhani, Vijeta A1 - Kizer, Jorge R A1 - Lima, João A C A1 - van der Harst, Pim A1 - Bahrami, Hossein A1 - Nayor, Matthew A1 - de Filippi, Christopher R A1 - Enserro, Danielle A1 - Blaha, Michael J A1 - Cushman, Mary A1 - Wang, Thomas J A1 - Gansevoort, Ron T A1 - Fox, Caroline S A1 - Gaggin, Hanna K A1 - Kop, Willem J A1 - Liu, Kiang A1 - Vasan, Ramachandran S A1 - Psaty, Bruce M A1 - Lee, Douglas S A1 - Brouwers, Frank P A1 - Hillege, Hans L A1 - Bartz, Traci M A1 - Benjamin, Emelia J A1 - Chan, Cheeling A1 - Allison, Matthew A1 - Gardin, Julius M A1 - Januzzi, James L A1 - Levy, Daniel A1 - Herrington, David M A1 - van Gilst, Wiek H A1 - Bertoni, Alain G A1 - Larson, Martin G A1 - de Boer, Rudolf A A1 - Gottdiener, John S A1 - Shah, Sanjiv J A1 - Ho, Jennifer E AB -

AIMS: While heart failure with preserved (HFpEF) and reduced ejection fraction (HFrEF) are well described, determinants and outcomes of heart failure with mid-range ejection fraction (HFmrEF) remain unclear. We sought to examine clinical and biochemical predictors of incident HFmrEF in the community.

METHODS AND RESULTS: We pooled data from four community-based longitudinal cohorts, with ascertainment of new heart failure (HF) classified into HFmrEF [ejection fraction (EF) 41-49%], HFpEF (EF ≥50%), and HFrEF (EF ≤40%). Predictors of incident HF subtypes were assessed using multivariable Cox models. Among 28 820 participants free of HF followed for a median of 12 years, there were 200 new HFmrEF cases, compared with 811 HFpEF and 1048 HFrEF. Clinical predictors of HFmrEF included age, male sex, systolic blood pressure, diabetes mellitus, and prior myocardial infarction (multivariable adjusted P ≤ 0.003 for all). Biomarkers that predicted HFmrEF included natriuretic peptides, cystatin-C, and high-sensitivity troponin (P ≤ 0.0004 for all). Natriuretic peptides were stronger predictors of HFrEF [hazard ratio (HR) 2.00 per 1 standard deviation increase, 95% confidence interval (CI) 1.81-2.20] than of HFmrEF (HR 1.51, 95% CI 1.20-1.90, P = 0.01 for difference), and did not differ in their association with incident HFmrEF and HFpEF (HR 1.56, 95% CI 1.41-1.73, P = 0.68 for difference). All-cause mortality following the onset of HFmrEF was worse than that of HFpEF (50 vs. 39 events per 1000 person-years, P = 0.02), but comparable to that of HFrEF (46 events per 1000 person-years, P = 0.78).

CONCLUSIONS: We found overlap in predictors of incident HFmrEF with other HF subtypes. In contrast, mortality risk after HFmrEF was worse than HFpEF, and similar to HFrEF.

ER - TY - JOUR T1 - Association of Cardiovascular Biomarkers With Incident Heart Failure With Preserved and Reduced Ejection Fraction. JF - JAMA Cardiol Y1 - 2018 A1 - de Boer, Rudolf A A1 - Nayor, Matthew A1 - deFilippi, Christopher R A1 - Enserro, Danielle A1 - Bhambhani, Vijeta A1 - Kizer, Jorge R A1 - Blaha, Michael J A1 - Brouwers, Frank P A1 - Cushman, Mary A1 - Lima, João A C A1 - Bahrami, Hossein A1 - van der Harst, Pim A1 - Wang, Thomas J A1 - Gansevoort, Ron T A1 - Fox, Caroline S A1 - Gaggin, Hanna K A1 - Kop, Willem J A1 - Liu, Kiang A1 - Vasan, Ramachandran S A1 - Psaty, Bruce M A1 - Lee, Douglas S A1 - Hillege, Hans L A1 - Bartz, Traci M A1 - Benjamin, Emelia J A1 - Chan, Cheeling A1 - Allison, Matthew A1 - Gardin, Julius M A1 - Januzzi, James L A1 - Shah, Sanjiv J A1 - Levy, Daniel A1 - Herrington, David M A1 - Larson, Martin G A1 - van Gilst, Wiek H A1 - Gottdiener, John S A1 - Bertoni, Alain G A1 - Ho, Jennifer E AB -

Importance: Nearly half of all patients with heart failure have preserved ejection fraction (HFpEF) as opposed to reduced ejection fraction (HFrEF), yet associations of biomarkers with future heart failure subtype are incompletely understood.

Objective: To evaluate the associations of 12 cardiovascular biomarkers with incident HFpEF vs HFrEF among adults from the general population.

Design, Setting, and Participants: This study included 4 longitudinal community-based cohorts: the Cardiovascular Health Study (1989-1990; 1992-1993 for supplemental African-American cohort), the Framingham Heart Study (1995-1998), the Multi-Ethnic Study of Atherosclerosis (2000-2002), and the Prevention of Renal and Vascular End-stage Disease study (1997-1998). Each cohort had prospective ascertainment of incident HFpEF and HFrEF. Data analysis was performed from June 25, 2015, to November 9, 2017.

Exposures: The following biomarkers were examined: N-terminal pro B-type natriuretic peptide or brain natriuretic peptide, high-sensitivity troponin T or I, C-reactive protein (CRP), urinary albumin to creatinine ratio (UACR), renin to aldosterone ratio, D-dimer, fibrinogen, soluble suppressor of tumorigenicity, galectin-3, cystatin C, plasminogen activator inhibitor 1, and interleukin 6.

Main Outcomes and Measures: Development of incident HFpEF and incident HFrEF.

Results: Among the 22 756 participants in these 4 cohorts (12 087 women and 10 669 men; mean [SD] age, 60 [13] years) in the study, during a median follow-up of 12 years, 633 participants developed incident HFpEF, and 841 developed HFrEF. In models adjusted for clinical risk factors of heart failure, 2 biomarkers were significantly associated with incident HFpEF: UACR (hazard ratio [HR], 1.33; 95% CI, 1.20-1.48; P < .001) and natriuretic peptides (HR, 1.27; 95% CI, 1.16-1.40; P < .001), with suggestive associations for high-sensitivity troponin (HR, 1.11; 95% CI, 1.03-1.19; P = .008), plasminogen activator inhibitor 1 (HR, 1.22; 95% CI, 1.03-1.45; P = .02), and fibrinogen (HR, 1.12; 95% CI, 1.03-1.22; P = .01). By contrast, 6 biomarkers were associated with incident HFrEF: natriuretic peptides (HR, 1.54; 95% CI, 1.41-1.68; P < .001), UACR (HR, 1.21; 95% CI, 1.11-1.32; P < .001), high-sensitivity troponin (HR, 1.37; 95% CI, 1.29-1.46; P < .001), cystatin C (HR, 1.19; 95% CI, 1.11-1.27; P < .001), D-dimer (HR, 1.22; 95% CI, 1.11-1.35; P < .001), and CRP (HR, 1.19; 95% CI, 1.11-1.28; P < .001). When directly compared, natriuretic peptides, high-sensitivity troponin, and CRP were more strongly associated with HFrEF compared with HFpEF.

Conclusions and Relevance: Biomarkers of renal dysfunction, endothelial dysfunction, and inflammation were associated with incident HFrEF. By contrast, only natriuretic peptides and UACR were associated with HFpEF. These findings highlight the need for future studies focused on identifying novel biomarkers of the risk of HFpEF.

ER - TY - JOUR T1 - The Association of Obesity and Cardiometabolic Traits With Incident HFpEF and HFrEF. JF - JACC Heart Fail Y1 - 2018 A1 - Savji, Nazir A1 - Meijers, Wouter C A1 - Bartz, Traci M A1 - Bhambhani, Vijeta A1 - Cushman, Mary A1 - Nayor, Matthew A1 - Kizer, Jorge R A1 - Sarma, Amy A1 - Blaha, Michael J A1 - Gansevoort, Ron T A1 - Gardin, Julius M A1 - Hillege, Hans L A1 - Ji, Fei A1 - Kop, Willem J A1 - Lau, Emily S A1 - Lee, Douglas S A1 - Sadreyev, Ruslan A1 - van Gilst, Wiek H A1 - Wang, Thomas J A1 - Zanni, Markella V A1 - Vasan, Ramachandran S A1 - Allen, Norrina B A1 - Psaty, Bruce M A1 - van der Harst, Pim A1 - Levy, Daniel A1 - Larson, Martin A1 - Shah, Sanjiv J A1 - de Boer, Rudolf A A1 - Gottdiener, John S A1 - Ho, Jennifer E AB -

OBJECTIVES: This study evaluated the associations of obesity and cardiometabolic traits with incident heart failure with preserved versus reduced ejection fraction (HFpEF vs. HFrEF). Given known sex differences in HF subtype, we examined men and women separately.

BACKGROUND: Recent studies suggest that obesity confers greater risk of HFpEF versus HFrEF. Contributions of associated metabolic traits to HFpEF are less clear.

METHODS: We studied 22,681 participants from 4 community-based cohorts followed for incident HFpEF versus HFrEF (ejection fraction ≥50% vs. <50%). We evaluated the association of body mass index (BMI) and cardiometabolic traits with incident HF subtype using Cox models.

RESULTS: The mean age was 60 ± 13 years, and 53% were women. Over a median follow-up of 12 years, 628 developed incident HFpEF and 835 HFrEF. Greater BMI portended higher risk of HFpEF compared with HFrEF (hazard ratio [HR]: 1.34 per 1-SD increase in BMI; 95% confidence interval [CI]: 1.24 to 1.45 vs. HR: 1.18; 95% CI: 1.10 to 1.27). Similarly, insulin resistance (homeostatic model assessment of insulin resistance) was associated with HFpEF (HR: 1.20 per 1-SD; 95% CI: 1.05 to 1.37), but not HFrEF (HR: 0.99; 95% CI: 0.88 to 1.11; p < 0.05 for difference HFpEF vs. HFrEF). We found that the differential association of BMI with HFpEF versus HFrEF was more pronounced among women (p for difference HFpEF vs. HFrEF = 0.01) when compared with men (p = 0.34).

CONCLUSIONS: Obesity and related cardiometabolic traits including insulin resistance are more strongly associated with risk of future HFpEF versus HFrEF. The differential risk of HFpEF with obesity seems particularly pronounced among women and may underlie sex differences in HF subtypes.

VL - 6 IS - 8 ER - TY - JOUR T1 - Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. JF - Nat Commun Y1 - 2018 A1 - Jiang, Xia A1 - O'Reilly, Paul F A1 - Aschard, Hugues A1 - Hsu, Yi-Hsiang A1 - Richards, J Brent A1 - Dupuis, Josée A1 - Ingelsson, Erik A1 - Karasik, David A1 - Pilz, Stefan A1 - Berry, Diane A1 - Kestenbaum, Bryan A1 - Zheng, Jusheng A1 - Luan, Jianan A1 - Sofianopoulou, Eleni A1 - Streeten, Elizabeth A A1 - Albanes, Demetrius A1 - Lutsey, Pamela L A1 - Yao, Lu A1 - Tang, Weihong A1 - Econs, Michael J A1 - Wallaschofski, Henri A1 - Völzke, Henry A1 - Zhou, Ang A1 - Power, Chris A1 - McCarthy, Mark I A1 - Michos, Erin D A1 - Boerwinkle, Eric A1 - Weinstein, Stephanie J A1 - Freedman, Neal D A1 - Huang, Wen-Yi A1 - van Schoor, Natasja M A1 - van der Velde, Nathalie A1 - Groot, Lisette C P G M de A1 - Enneman, Anke A1 - Cupples, L Adrienne A1 - Booth, Sarah L A1 - Vasan, Ramachandran S A1 - Liu, Ching-Ti A1 - Zhou, Yanhua A1 - Ripatti, Samuli A1 - Ohlsson, Claes A1 - Vandenput, Liesbeth A1 - Lorentzon, Mattias A1 - Eriksson, Johan G A1 - Shea, M Kyla A1 - Houston, Denise K A1 - Kritchevsky, Stephen B A1 - Liu, Yongmei A1 - Lohman, Kurt K A1 - Ferrucci, Luigi A1 - Peacock, Munro A1 - Gieger, Christian A1 - Beekman, Marian A1 - Slagboom, Eline A1 - Deelen, Joris A1 - Heemst, Diana van A1 - Kleber, Marcus E A1 - März, Winfried A1 - de Boer, Ian H A1 - Wood, Alexis C A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Robinson-Cohen, Cassianne A1 - den Heijer, Martin A1 - Jarvelin, Marjo-Riitta A1 - Cavadino, Alana A1 - Joshi, Peter K A1 - Wilson, James F A1 - Hayward, Caroline A1 - Lind, Lars A1 - Michaëlsson, Karl A1 - Trompet, Stella A1 - Zillikens, M Carola A1 - Uitterlinden, André G A1 - Rivadeneira, Fernando A1 - Broer, Linda A1 - Zgaga, Lina A1 - Campbell, Harry A1 - Theodoratou, Evropi A1 - Farrington, Susan M A1 - Timofeeva, Maria A1 - Dunlop, Malcolm G A1 - Valdes, Ana M A1 - Tikkanen, Emmi A1 - Lehtimäki, Terho A1 - Lyytikäinen, Leo-Pekka A1 - Kähönen, Mika A1 - Raitakari, Olli T A1 - Mikkilä, Vera A1 - Ikram, M Arfan A1 - Sattar, Naveed A1 - Jukema, J Wouter A1 - Wareham, Nicholas J A1 - Langenberg, Claudia A1 - Forouhi, Nita G A1 - Gundersen, Thomas E A1 - Khaw, Kay-Tee A1 - Butterworth, Adam S A1 - Danesh, John A1 - Spector, Timothy A1 - Wang, Thomas J A1 - Hyppönen, Elina A1 - Kraft, Peter A1 - Kiel, Douglas P AB -

Vitamin D is a steroid hormone precursor that is associated with a range of human traits and diseases. Previous GWAS of serum 25-hydroxyvitamin D concentrations have identified four genome-wide significant loci (GC, NADSYN1/DHCR7, CYP2R1, CYP24A1). In this study, we expand the previous SUNLIGHT Consortium GWAS discovery sample size from 16,125 to 79,366 (all European descent). This larger GWAS yields two additional loci harboring genome-wide significant variants (P = 4.7×10 at rs8018720 in SEC23A, and P = 1.9×10 at rs10745742 in AMDHD1). The overall estimate of heritability of 25-hydroxyvitamin D serum concentrations attributable to GWAS common SNPs is 7.5%, with statistically significant loci explaining 38% of this total. Further investigation identifies signal enrichment in immune and hematopoietic tissues, and clustering with autoimmune diseases in cell-type-specific analysis. Larger studies are required to identify additional common SNPs, and to explore the role of rare or structural variants and gene-gene interactions in the heritability of circulating 25-hydroxyvitamin D levels.

VL - 9 IS - 1 ER - TY - JOUR T1 - Temporal Trends in the Incidence of and Mortality Associated With Heart Failure With Preserved and Reduced Ejection Fraction. JF - JACC Heart Fail Y1 - 2018 A1 - Tsao, Connie W A1 - Lyass, Asya A1 - Enserro, Danielle A1 - Larson, Martin G A1 - Ho, Jennifer E A1 - Kizer, Jorge R A1 - Gottdiener, John S A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S AB -

OBJECTIVES: This study aimed to determine temporal trends in the incidence of and mortality associated with heart failure (HF) and its subtypes (heart failure with reduced ejection fraction [HFrEF] and heart rate with preserved ejection fraction [HFpEF]) in the community.

BACKGROUND: Major shifts in cardiovascular disease risk factor prevalence and advances in therapies may have influenced HF incidence and mortality.

METHODS: In the FHS (Framingham Heart Study) and CHS (Cardiovascular Health Study), for participants who were ≥60 years of age and free of HF (n = 15,217; 60% women; 2,524 incident HF cases; 115,703 person-years of follow-up), we estimated adjusted incidence rate ratios of HF, HFrEF, and HFpEF from 1990 to 1999 and 2000 to 2009. We compared the cumulative incidence of and mortality associated with HFrEF versus HFpEF within and between decades.

RESULTS: Across the 2 decades, HF incidence rate ratio was similar (p = 0.13). The incidence rate ratio of HFrEF declined (p = 0.0029), whereas HFpEF increased (p < 0.001). Although HFrEF incidence declined more in men than in women, men had a higher incidence of HFrEF than women in each decade (p < 0.001). The incidence of HFpEF significantly increased over time in both men and women (p < 0.001 and p = 0.02, respectively). During follow-up after HF, 1,701 individuals died (67.4%; HFrEF, n = 557 [33%]; HFpEF, n = 474 [29%]). There were no significant differences in mortality rates (overall, cardiovascular disease, and noncardiovascular disease) across decades within HF subtypes or between HFrEF and HFpEF within decade.

CONCLUSIONS: In several U.S. community-based samples from 1990 to 2009, we observed divergent trends of decreasing HFrEF and increasing HFpEF incidence, with stable overall HF incidence and high risk for mortality. Our findings highlight the need to elucidate factors contributing to these observations.

VL - 6 IS - 8 ER - TY - JOUR T1 - Genome-wide meta-analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans. JF - Mol Genet Genomic Med Y1 - 2019 A1 - Do, Anh N A1 - Zhao, Wei A1 - Baldridge, Abigail S A1 - Raffield, Laura M A1 - Wiggins, Kerri L A1 - Shah, Sanjiv J A1 - Aslibekyan, Stella A1 - Tiwari, Hemant K A1 - Limdi, Nita A1 - Zhi, Degui A1 - Sitlani, Colleen M A1 - Taylor, Kent D A1 - Psaty, Bruce M A1 - Sotoodehnia, Nona A1 - Brody, Jennifer A A1 - Rasmussen-Torvik, Laura J A1 - Lloyd-Jones, Donald A1 - Lange, Leslie A A1 - Wilson, James G A1 - Smith, Jennifer A A1 - Kardia, Sharon L R A1 - Mosley, Thomas H A1 - Vasan, Ramachandran S A1 - Arnett, Donna K A1 - Irvin, Marguerite R KW - African Americans KW - Angiotensin-Converting Enzyme Inhibitors KW - Antihypertensive Agents KW - Calcium Channel Blockers KW - Humans KW - Observational Studies as Topic KW - Pharmacogenomic Variants KW - Polymorphism, Single Nucleotide KW - Sodium Chloride Symporter Inhibitors KW - Ventricular Dysfunction, Left AB -

BACKGROUND: Left ventricular (LV) hypertrophy affects up to 43% of African Americans (AAs). Antihypertensive treatment reduces LV mass (LVM). However, interindividual variation in LV traits in response to antihypertensive treatments exists. We hypothesized that genetic variants may modify the association of antihypertensive treatment class with LV traits measured by echocardiography.

METHODS: We evaluated the main effects of the three most common antihypertensive treatments for AAs as well as the single nucleotide polymorphism (SNP)-by-drug interaction on LVM and relative wall thickness (RWT) in 2,068 participants across five community-based cohorts. Treatments included thiazide diuretics (TDs), angiotensin converting enzyme inhibitors (ACE-Is), and dihydropyridine calcium channel blockers (dCCBs) and were compared in a pairwise manner. We performed fixed effects inverse variance weighted meta-analyses of main effects of drugs and 2.5 million SNP-by-drug interaction estimates.

RESULTS: We observed that dCCBs versus TDs were associated with higher LVM after adjusting for covariates (p = 0.001). We report three SNPs at a single locus on chromosome 20 that modified the association between RWT and treatment when comparing dCCBs to ACE-Is with consistent effects across cohorts (smallest p = 4.7 × 10 , minor allele frequency range 0.09-0.12). This locus has been linked to LV hypertrophy in a previous study. A marginally significant locus in BICD1 (rs326641) was validated in an external population.

CONCLUSIONS: Our study identified one locus having genome-wide significant SNP-by-drug interaction effect on RWT among dCCB users in comparison to ACE-I users. Upon additional validation in future studies, our findings can enhance the precision of medical approaches in hypertension treatment.

VL - 7 IS - 10 ER - TY - JOUR T1 - Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program. JF - Am J Hum Genet Y1 - 2019 A1 - Sarnowski, Chloe A1 - Leong, Aaron A1 - Raffield, Laura M A1 - Wu, Peitao A1 - de Vries, Paul S A1 - DiCorpo, Daniel A1 - Guo, Xiuqing A1 - Xu, Huichun A1 - Liu, Yongmei A1 - Zheng, Xiuwen A1 - Hu, Yao A1 - Brody, Jennifer A A1 - Goodarzi, Mark O A1 - Hidalgo, Bertha A A1 - Highland, Heather M A1 - Jain, Deepti A1 - Liu, Ching-Ti A1 - Naik, Rakhi P A1 - O'Connell, Jeffrey R A1 - Perry, James A A1 - Porneala, Bianca C A1 - Selvin, Elizabeth A1 - Wessel, Jennifer A1 - Psaty, Bruce M A1 - Curran, Joanne E A1 - Peralta, Juan M A1 - Blangero, John A1 - Kooperberg, Charles A1 - Mathias, Rasika A1 - Johnson, Andrew D A1 - Reiner, Alexander P A1 - Mitchell, Braxton D A1 - Cupples, L Adrienne A1 - Vasan, Ramachandran S A1 - Correa, Adolfo A1 - Morrison, Alanna C A1 - Boerwinkle, Eric A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Manning, Alisa K A1 - Dupuis, Josée A1 - Meigs, James B AB -

Hemoglobin A1c (HbA1c) is widely used to diagnose diabetes and assess glycemic control in individuals with diabetes. However, nonglycemic determinants, including genetic variation, may influence how accurately HbA1c reflects underlying glycemia. Analyzing the NHLBI Trans-Omics for Precision Medicine (TOPMed) sequence data in 10,338 individuals from five studies and four ancestries (6,158 Europeans, 3,123 African-Americans, 650 Hispanics, and 407 East Asians), we confirmed five regions associated with HbA1c (GCK in Europeans and African-Americans, HK1 in Europeans and Hispanics, FN3K and/or FN3KRP in Europeans, and G6PD in African-Americans and Hispanics) and we identified an African-ancestry-specific low-frequency variant (rs1039215 in HBG2 and HBE1, minor allele frequency (MAF) = 0.03). The most associated G6PD variant (rs1050828-T, p.Val98Met, MAF = 12% in African-Americans, MAF = 2% in Hispanics) lowered HbA1c (-0.88% in hemizygous males, -0.34% in heterozygous females) and explained 23% of HbA1c variance in African-Americans and 4% in Hispanics. Additionally, we identified a rare distinct G6PD coding variant (rs76723693, p.Leu353Pro, MAF = 0.5%; -0.98% in hemizygous males, -0.46% in heterozygous females) and detected significant association with HbA1c when aggregating rare missense variants in G6PD. We observed similar magnitude and direction of effects for rs1039215 (HBG2) and rs76723693 (G6PD) in the two largest TOPMed African American cohorts, and we replicated the rs76723693 association in the UK Biobank African-ancestry participants. These variants in G6PD and HBG2 were monomorphic in the European and Asian samples. African or Hispanic ancestry individuals carrying G6PD variants may be underdiagnosed for diabetes when screened with HbA1c. Thus, assessment of these variants should be considered for incorporation into precision medicine approaches for diabetes diagnosis.

VL - 105 IS - 4 ER - TY - JOUR T1 - Sequencing Analysis at 8p23 Identifies Multiple Rare Variants in DLC1 Associated with Sleep-Related Oxyhemoglobin Saturation Level. JF - Am J Hum Genet Y1 - 2019 A1 - Liang, Jingjing A1 - Cade, Brian E A1 - He, Karen Y A1 - Wang, Heming A1 - Lee, Jiwon A1 - Sofer, Tamar A1 - Williams, Stephanie A1 - Li, Ruitong A1 - Chen, Han A1 - Gottlieb, Daniel J A1 - Evans, Daniel S A1 - Guo, Xiuqing A1 - Gharib, Sina A A1 - Hale, Lauren A1 - Hillman, David R A1 - Lutsey, Pamela L A1 - Mukherjee, Sutapa A1 - Ochs-Balcom, Heather M A1 - Palmer, Lyle J A1 - Rhodes, Jessica A1 - Purcell, Shaun A1 - Patel, Sanjay R A1 - Saxena, Richa A1 - Stone, Katie L A1 - Tang, Weihong A1 - Tranah, Gregory J A1 - Boerwinkle, Eric A1 - Lin, Xihong A1 - Liu, Yongmei A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Cho, Michael H A1 - Manichaikul, Ani A1 - Silverman, Edwin K A1 - Barr, R Graham A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Wilson, James G A1 - Redline, Susan A1 - Zhu, Xiaofeng AB -

Average arterial oxyhemoglobin saturation during sleep (AvSpOS) is a clinically relevant measure of physiological stress associated with sleep-disordered breathing, and this measure predicts incident cardiovascular disease and mortality. Using high-depth whole-genome sequencing data from the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) project and focusing on genes with linkage evidence on chromosome 8p23, we observed that six coding and 51 noncoding variants in a gene that encodes the GTPase-activating protein (DLC1) are significantly associated with AvSpOS and replicated in independent subjects. The combined DLC1 association evidence of discovery and replication cohorts reaches genome-wide significance in European Americans (p = 7.9 × 10). A risk score for these variants, built on an independent dataset, explains 0.97% of the AvSpOS variation and contributes to the linkage evidence. The 51 noncoding variants are enriched in regulatory features in a human lung fibroblast cell line and contribute to DLC1 expression variation. Mendelian randomization analysis using these variants indicates a significant causal effect of DLC1 expression in fibroblasts on AvSpOS. Multiple sources of information, including genetic variants, gene expression, and methylation, consistently suggest that DLC1 is a gene associated with AvSpOS.

VL - 105 IS - 5 ER - TY - JOUR T1 - Inherited causes of clonal haematopoiesis in 97,691 whole genomes. JF - Nature Y1 - 2020 A1 - Bick, Alexander G A1 - Weinstock, Joshua S A1 - Nandakumar, Satish K A1 - Fulco, Charles P A1 - Bao, Erik L A1 - Zekavat, Seyedeh M A1 - Szeto, Mindy D A1 - Liao, Xiaotian A1 - Leventhal, Matthew J A1 - Nasser, Joseph A1 - Chang, Kyle A1 - Laurie, Cecelia A1 - Burugula, Bala Bharathi A1 - Gibson, Christopher J A1 - Lin, Amy E A1 - Taub, Margaret A A1 - Aguet, Francois A1 - Ardlie, Kristin A1 - Mitchell, Braxton D A1 - Barnes, Kathleen C A1 - Moscati, Arden A1 - Fornage, Myriam A1 - Redline, Susan A1 - Psaty, Bruce M A1 - Silverman, Edwin K A1 - Weiss, Scott T A1 - Palmer, Nicholette D A1 - Vasan, Ramachandran S A1 - Burchard, Esteban G A1 - Kardia, Sharon L R A1 - He, Jiang A1 - Kaplan, Robert C A1 - Smith, Nicholas L A1 - Arnett, Donna K A1 - Schwartz, David A A1 - Correa, Adolfo A1 - de Andrade, Mariza A1 - Guo, Xiuqing A1 - Konkle, Barbara A A1 - Custer, Brian A1 - Peralta, Juan M A1 - Gui, Hongsheng A1 - Meyers, Deborah A A1 - McGarvey, Stephen T A1 - Chen, Ida Yii-Der A1 - Shoemaker, M Benjamin A1 - Peyser, Patricia A A1 - Broome, Jai G A1 - Gogarten, Stephanie M A1 - Wang, Fei Fei A1 - Wong, Quenna A1 - Montasser, May E A1 - Daya, Michelle A1 - Kenny, Eimear E A1 - North, Kari E A1 - Launer, Lenore J A1 - Cade, Brian E A1 - Bis, Joshua C A1 - Cho, Michael H A1 - Lasky-Su, Jessica A1 - Bowden, Donald W A1 - Cupples, L Adrienne A1 - Mak, Angel C Y A1 - Becker, Lewis C A1 - Smith, Jennifer A A1 - Kelly, Tanika N A1 - Aslibekyan, Stella A1 - Heckbert, Susan R A1 - Tiwari, Hemant K A1 - Yang, Ivana V A1 - Heit, John A A1 - Lubitz, Steven A A1 - Johnsen, Jill M A1 - Curran, Joanne E A1 - Wenzel, Sally E A1 - Weeks, Daniel E A1 - Rao, Dabeeru C A1 - Darbar, Dawood A1 - Moon, Jee-Young A1 - Tracy, Russell P A1 - Buth, Erin J A1 - Rafaels, Nicholas A1 - Loos, Ruth J F A1 - Durda, Peter A1 - Liu, Yongmei A1 - Hou, Lifang A1 - Lee, Jiwon A1 - Kachroo, Priyadarshini A1 - Freedman, Barry I A1 - Levy, Daniel A1 - Bielak, Lawrence F A1 - Hixson, James E A1 - Floyd, James S A1 - Whitsel, Eric A A1 - Ellinor, Patrick T A1 - Irvin, Marguerite R A1 - Fingerlin, Tasha E A1 - Raffield, Laura M A1 - Armasu, Sebastian M A1 - Wheeler, Marsha M A1 - Sabino, Ester C A1 - Blangero, John A1 - Williams, L Keoki A1 - Levy, Bruce D A1 - Sheu, Wayne Huey-Herng A1 - Roden, Dan M A1 - Boerwinkle, Eric A1 - Manson, JoAnn E A1 - Mathias, Rasika A A1 - Desai, Pinkal A1 - Taylor, Kent D A1 - Johnson, Andrew D A1 - Auer, Paul L A1 - Kooperberg, Charles A1 - Laurie, Cathy C A1 - Blackwell, Thomas W A1 - Smith, Albert V A1 - Zhao, Hongyu A1 - Lange, Ethan A1 - Lange, Leslie A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Wilson, James G A1 - Scheet, Paul A1 - Kitzman, Jacob O A1 - Lander, Eric S A1 - Engreitz, Jesse M A1 - Ebert, Benjamin L A1 - Reiner, Alexander P A1 - Jaiswal, Siddhartha A1 - Abecasis, Goncalo A1 - Sankaran, Vijay G A1 - Kathiresan, Sekar A1 - Natarajan, Pradeep AB -

Age is the dominant risk factor for most chronic human diseases, but the mechanisms through which ageing confers this risk are largely unknown. The age-related acquisition of somatic mutations that lead to clonal expansion in regenerating haematopoietic stem cell populations has recently been associated with both haematological cancer and coronary heart disease-this phenomenon is termed clonal haematopoiesis of indeterminate potential (CHIP). Simultaneous analyses of germline and somatic whole-genome sequences provide the opportunity to identify root causes of CHIP. Here we analyse high-coverage whole-genome sequences from 97,691 participants of diverse ancestries in the National Heart, Lung, and Blood Institute Trans-omics for Precision Medicine (TOPMed) programme, and identify 4,229 individuals with CHIP. We identify associations with blood cell, lipid and inflammatory traits that are specific to different CHIP driver genes. Association of a genome-wide set of germline genetic variants enabled the identification of three genetic loci associated with CHIP status, including one locus at TET2 that was specific to individuals of African ancestry. In silico-informed in vitro evaluation of the TET2 germline locus enabled the identification of a causal variant that disrupts a TET2 distal enhancer, resulting in increased self-renewal of haematopoietic stem cells. Overall, we observe that germline genetic variation shapes haematopoietic stem cell function, leading to CHIP through mechanisms that are specific to clonal haematopoiesis as well as shared mechanisms that lead to somatic mutations across tissues.

VL - 586 IS - 7831 ER - TY - JOUR T1 - Performance of the Pooled Cohort Equations to Estimate Atherosclerotic Cardiovascular Disease Risk by Body Mass Index. JF - JAMA Netw Open Y1 - 2020 A1 - Khera, Rohan A1 - Pandey, Ambarish A1 - Ayers, Colby R A1 - Carnethon, Mercedes R A1 - Greenland, Philip A1 - Ndumele, Chiadi E A1 - Nambi, Vijay A1 - Seliger, Stephen L A1 - Chaves, Paulo H M A1 - Safford, Monika M A1 - Cushman, Mary A1 - Xanthakis, Vanessa A1 - Vasan, Ramachandran S A1 - Mentz, Robert J A1 - Correa, Adolfo A1 - Lloyd-Jones, Donald M A1 - Berry, Jarett D A1 - de Lemos, James A A1 - Neeland, Ian J KW - Adult KW - Aged KW - Body Mass Index KW - Cardiovascular Diseases KW - Cohort Studies KW - Correlation of Data KW - Female KW - Humans KW - Longitudinal Studies KW - Male KW - Middle Aged KW - Proportional Hazards Models KW - Prospective Studies KW - Risk Assessment KW - Risk Factors AB -

Importance: Obesity is a global health challenge and a risk factor for atherosclerotic cardiovascular disease (ASVCD). Performance of the pooled cohort equations (PCE) for ASCVD risk by body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) is unknown.

Objective: To assess performance of the PCE across clinical BMI categories.

Design, Setting, and Participants: This cohort study used pooled individual-level data from 8 community-based, prospective, longitudinal cohort studies with 10-year ASCVD event follow-up from 1996 to 2016. We included all adults ages 40 to 79 years without baseline ASCVD or statin use, resulting in a sample size of 37 311 participants. Data were analyzed from August 2017 to July 2020.

Exposures: Participant BMI category: underweight (<18.5), normal weight (18.5 to <25), overweight (25 to <30), mild obesity (30 to <35), and moderate to severe obesity (≥35).

Main Outcomes and Measures: Discrimination (Harrell C statistic) and calibration (Nam-D'Agostino χ2 goodness-of-fit test) of the PCE across BMI categories. Improvement in discrimination and net reclassification with addition of BMI, waist circumference, and high-sensitivity C-reactive protein (hsCRP) to the PCE.

Results: Among 37 311 participants (mean [SD] age, 58.6 [11.8] years; 21 897 [58.7%] women), 380 604 person-years of follow-up were conducted. Mean (SD) baseline BMI was 29.0 (6.2), and 360 individuals (1.0%) were in the underweight category, 9937 individuals (26.6%) were in the normal weight category, 13 601 individuals (36.4%) were in the overweight category, 7783 individuals (20.9%) were in the mild obesity category, and 5630 individuals (15.1%) were in the moderate to severe obesity category. Median (interquartile range [IQR]) 10-year estimated ASCVD risk was 7.1% (2.5%-15.4%), and 3709 individuals (9.9%) developed ASCVD over a median (IQR) 10.8 [8.5-12.6] years. The PCE overestimated ASCVD risk in the overall cohort (estimated/observed [E/O] risk ratio, 1.22; 95% CI, 1.18-1.26) and across all BMI categories except the underweight category. Calibration was better near the clinical decision threshold in all BMI groups but worse among individuals with moderate or severe obesity (E/O risk ratio, 1.36; 95% CI, 1.25-1.47) and among those with the highest estimated ASCVD risk ≥20%. The PCE C statistic overall was 0.760 (95% CI, 0.753-0.767), with lower discrimination in the moderate or severe obesity group (C statistic, 0.742; 95% CI, 0.721-0.763) compared with the normal-range BMI group (C statistic, 0.785; 95% CI, 0.772-0.798). Waist circumference (hazard ratio, 1.07 per 1-SD increase; 95% CI, 1.03-1.11) and hsCRP (hazard ratio, 1.07 per 1-SD increase; 95% CI, 1.05-1.09), but not BMI, were associated with increased ASCVD risk when added to the PCE. However, these factors did not improve model performance (C statistic, 0.760; 95% CI, 0.753-0.767) with or without added metrics.

Conclusions and Relevance: These findings suggest that the PCE had acceptable model discrimination and were well calibrated at clinical decision thresholds but overestimated risk of ASCVD for individuals in overweight and obese categories, particularly individuals with high estimated risk. Incorporation of the usual clinical measures of obesity did not improve risk estimation of the PCE. Future research is needed to determine whether incorporation of alternative high-risk obesity markers (eg, weight trajectory or measures of visceral or ectopic fat) into the PCE may improve risk prediction.

VL - 3 IS - 10 ER - TY - JOUR T1 - Sex-Specific Associations of Cardiovascular Risk Factors and Biomarkers With Incident Heart Failure. JF - J Am Coll Cardiol Y1 - 2020 A1 - Suthahar, Navin A1 - Lau, Emily S A1 - Blaha, Michael J A1 - Paniagua, Samantha M A1 - Larson, Martin G A1 - Psaty, Bruce M A1 - Benjamin, Emelia J A1 - Allison, Matthew A A1 - Bartz, Traci M A1 - Januzzi, James L A1 - Levy, Daniel A1 - Meems, Laura M G A1 - Bakker, Stephan J L A1 - Lima, João A C A1 - Cushman, Mary A1 - Lee, Douglas S A1 - Wang, Thomas J A1 - deFilippi, Christopher R A1 - Herrington, David M A1 - Nayor, Matthew A1 - Vasan, Ramachandran S A1 - Gardin, Julius M A1 - Kizer, Jorge R A1 - Bertoni, Alain G A1 - Allen, Norrina B A1 - Gansevoort, Ron T A1 - Shah, Sanjiv J A1 - Gottdiener, John S A1 - Ho, Jennifer E A1 - de Boer, Rudolf A AB -

BACKGROUND: Whether cardiovascular (CV) disease risk factors and biomarkers associate differentially with heart failure (HF) risk in men and women is unclear.

OBJECTIVES: The purpose of this study was to evaluate sex-specific associations of CV risk factors and biomarkers with incident HF.

METHODS: The analysis was performed using data from 4 community-based cohorts with 12.5 years of follow-up. Participants (recruited between 1989 and 2002) were free of HF at baseline. Biomarker measurements included natriuretic peptides, cardiac troponins, plasminogen activator inhibitor-1, D-dimer, fibrinogen, C-reactive protein, sST2, galectin-3, cystatin-C, and urinary albumin-to-creatinine ratio.

RESULTS: Among 22,756 participants (mean age 60 ± 13 years, 53% women), HF occurred in 2,095 participants (47% women). Age, smoking, type 2 diabetes mellitus, hypertension, body mass index, atrial fibrillation, myocardial infarction, left ventricular hypertrophy, and left bundle branch block were strongly associated with HF in both sexes (p < 0.001), and the combined clinical model had good discrimination in men (C-statistic = 0.80) and in women (C-statistic = 0.83). The majority of biomarkers were strongly and similarly associated with HF in both sexes. The clinical model improved modestly after adding natriuretic peptides in men (ΔC-statistic = 0.006; likelihood ratio chi-square = 146; p < 0.001), and after adding cardiac troponins in women (ΔC-statistic = 0.003; likelihood ratio chi-square = 73; p < 0.001).

CONCLUSIONS: CV risk factors are strongly and similarly associated with incident HF in both sexes, highlighting the similar importance of risk factor control in reducing HF risk in the community. There are subtle sex-related differences in the predictive value of individual biomarkers, but the overall improvement in HF risk estimation when included in a clinical HF risk prediction model is limited in both sexes.

VL - 76 IS - 12 ER - TY - JOUR T1 - Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. JF - Nat Commun Y1 - 2020 A1 - Zhao, Xutong A1 - Qiao, Dandi A1 - Yang, Chaojie A1 - Kasela, Silva A1 - Kim, Wonji A1 - Ma, Yanlin A1 - Shrine, Nick A1 - Batini, Chiara A1 - Sofer, Tamar A1 - Taliun, Sarah A Gagliano A1 - Sakornsakolpat, Phuwanat A1 - Balte, Pallavi P A1 - Prokopenko, Dmitry A1 - Yu, Bing A1 - Lange, Leslie A A1 - Dupuis, Josée A1 - Cade, Brian E A1 - Lee, Jiwon A1 - Gharib, Sina A A1 - Daya, Michelle A1 - Laurie, Cecelia A A1 - Ruczinski, Ingo A1 - Cupples, L Adrienne A1 - Loehr, Laura R A1 - Bartz, Traci M A1 - Morrison, Alanna C A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Wilson, James G A1 - Taylor, Kent D A1 - Durda, Peter A1 - Johnson, W Craig A1 - Cornell, Elaine A1 - Guo, Xiuqing A1 - Liu, Yongmei A1 - Tracy, Russell P A1 - Ardlie, Kristin G A1 - Aguet, Francois A1 - VanDenBerg, David J A1 - Papanicolaou, George J A1 - Rotter, Jerome I A1 - Barnes, Kathleen C A1 - Jain, Deepti A1 - Nickerson, Deborah A A1 - Muzny, Donna M A1 - Metcalf, Ginger A A1 - Doddapaneni, Harshavardhan A1 - Dugan-Perez, Shannon A1 - Gupta, Namrata A1 - Gabriel, Stacey A1 - Rich, Stephen S A1 - O'Connor, George T A1 - Redline, Susan A1 - Reed, Robert M A1 - Laurie, Cathy C A1 - Daviglus, Martha L A1 - Preudhomme, Liana K A1 - Burkart, Kristin M A1 - Kaplan, Robert C A1 - Wain, Louise V A1 - Tobin, Martin D A1 - London, Stephanie J A1 - Lappalainen, Tuuli A1 - Oelsner, Elizabeth C A1 - Abecasis, Goncalo R A1 - Silverman, Edwin K A1 - Barr, R Graham A1 - Cho, Michael H A1 - Manichaikul, Ani KW - Adult KW - African Americans KW - Aged KW - Aged, 80 and over KW - Alpha-Ketoglutarate-Dependent Dioxygenase FTO KW - Calcium-Binding Proteins KW - Feasibility Studies KW - Female KW - Follow-Up Studies KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Intracellular Signaling Peptides and Proteins KW - Lung KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Protein Inhibitors of Activated STAT KW - Pulmonary Disease, Chronic Obstructive KW - Respiratory Physiological Phenomena KW - Small Ubiquitin-Related Modifier Proteins KW - Whole Genome Sequencing AB -

Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.

VL - 11 IS - 1 ER - TY - JOUR T1 - Association of mitochondrial DNA copy number with cardiometabolic diseases. JF - Cell Genom Y1 - 2021 A1 - Liu, Xue A1 - Longchamps, Ryan J A1 - Wiggins, Kerri L A1 - Raffield, Laura M A1 - Bielak, Lawrence F A1 - Zhao, Wei A1 - Pitsillides, Achilleas A1 - Blackwell, Thomas W A1 - Yao, Jie A1 - Guo, Xiuqing A1 - Kurniansyah, Nuzulul A1 - Thyagarajan, Bharat A1 - Pankratz, Nathan A1 - Rich, Stephen S A1 - Taylor, Kent D A1 - Peyser, Patricia A A1 - Heckbert, Susan R A1 - Seshadri, Sudha A1 - Cupples, L Adrienne A1 - Boerwinkle, Eric A1 - Grove, Megan L A1 - Larson, Nicholas B A1 - Smith, Jennifer A A1 - Vasan, Ramachandran S A1 - Sofer, Tamar A1 - Fitzpatrick, Annette L A1 - Fornage, Myriam A1 - Ding, Jun A1 - Correa, Adolfo A1 - Abecasis, Goncalo A1 - Psaty, Bruce M A1 - Wilson, James G A1 - Levy, Daniel A1 - Rotter, Jerome I A1 - Bis, Joshua C A1 - Satizabal, Claudia L A1 - Arking, Dan E A1 - Liu, Chunyu AB -

Mitochondrial DNA (mtDNA) is present in multiple copies in human cells. We evaluated cross-sectional associations of whole blood mtDNA copy number (CN) with several cardiometabolic disease traits in 408,361 participants of multiple ancestries in TOPMed and UK Biobank. Age showed a threshold association with mtDNA CN: among younger participants (<65 years of age), each additional 10 years of age was associated with 0.03 standard deviation (s.d.) higher level of mtDNA CN ( = 0.0014) versus a 0.14 s.d. lower level of mtDNA CN ( = 1.82 × 10) among older participants (≥65 years). At lower mtDNA CN levels, we found age-independent associations with increased odds of obesity ( = 5.6 × 10), hypertension ( = 2.8 × 10), diabetes ( = 3.6 × 10), and hyperlipidemia ( = 6.3 × 10). The observed decline in mtDNA CN after 65 years of age may be a key to understanding age-related diseases.

VL - 1 IS - 1 ER - TY - JOUR T1 - BinomiRare: A robust test for association of a rare genetic variant with a binary outcome for mixed models and any case-control proportion. JF - HGG Adv Y1 - 2021 A1 - Sofer, Tamar A1 - Lee, Jiwon A1 - Kurniansyah, Nuzulul A1 - Jain, Deepti A1 - Laurie, Cecelia A A1 - Gogarten, Stephanie M A1 - Conomos, Matthew P A1 - Heavner, Ben A1 - Hu, Yao A1 - Kooperberg, Charles A1 - Haessler, Jeffrey A1 - Vasan, Ramachandran S A1 - Cupples, L Adrienne A1 - Coombes, Brandon J A1 - Seyerle, Amanda A1 - Gharib, Sina A A1 - Chen, Han A1 - O'Connell, Jeffrey R A1 - Zhang, Man A1 - Gottlieb, Daniel J A1 - Psaty, Bruce M A1 - Longstreth, W T A1 - Rotter, Jerome I A1 - Taylor, Kent D A1 - Rich, Stephen S A1 - Guo, Xiuqing A1 - Boerwinkle, Eric A1 - Morrison, Alanna C A1 - Pankow, James S A1 - Johnson, Andrew D A1 - Pankratz, Nathan A1 - Reiner, Alex P A1 - Redline, Susan A1 - Smith, Nicholas L A1 - Rice, Kenneth M A1 - Schifano, Elizabeth D AB -

Whole-genome sequencing (WGS) and whole-exome sequencing studies have become increasingly available and are being used to identify rare genetic variants associated with health and disease outcomes. Investigators routinely use mixed models to account for genetic relatedness or other clustering variables (e.g., family or household) when testing genetic associations. However, no existing tests of the association of a rare variant with a binary outcome in the presence of correlated data control the type 1 error where there are (1) few individuals harboring the rare allele, (2) a small proportion of cases relative to controls, and (3) covariates to adjust for. Here, we address all three issues in developing a framework for testing rare variant association with a binary trait in individuals harboring at least one risk allele. In this framework, we estimate outcome probabilities under the null hypothesis and then use them, within the individuals with at least one risk allele, to test variant associations. We extend the BinomiRare test, which was previously proposed for independent observations, and develop the Conway-Maxwell-Poisson (CMP) test and study their properties in simulations. We show that the BinomiRare test always controls the type 1 error, while the CMP test sometimes does not. We then use the BinomiRare test to test the association of rare genetic variants in target genes with small-vessel disease (SVD) stroke, short sleep, and venous thromboembolism (VTE), in whole-genome sequence data from the Trans-Omics for Precision Medicine (TOPMed) program.

VL - 2 IS - 3 ER - TY - JOUR T1 - Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices. JF - Nat Commun Y1 - 2021 A1 - Natarajan, Pradeep A1 - Pampana, Akhil A1 - Graham, Sarah E A1 - Ruotsalainen, Sanni E A1 - Perry, James A A1 - de Vries, Paul S A1 - Broome, Jai G A1 - Pirruccello, James P A1 - Honigberg, Michael C A1 - Aragam, Krishna A1 - Wolford, Brooke A1 - Brody, Jennifer A A1 - Antonacci-Fulton, Lucinda A1 - Arden, Moscati A1 - Aslibekyan, Stella A1 - Assimes, Themistocles L A1 - Ballantyne, Christie M A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Cade, Brian E A1 - Do, Ron A1 - Doddapaneni, Harsha A1 - Emery, Leslie S A1 - Hung, Yi-Jen A1 - Irvin, Marguerite R A1 - Khan, Alyna T A1 - Lange, Leslie A1 - Lee, Jiwon A1 - Lemaitre, Rozenn N A1 - Martin, Lisa W A1 - Metcalf, Ginger A1 - Montasser, May E A1 - Moon, Jee-Young A1 - Muzny, Donna A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Peralta, Juan M A1 - Peyser, Patricia A A1 - Stilp, Adrienne M A1 - Tsai, Michael A1 - Wang, Fei Fei A1 - Weeks, Daniel E A1 - Yanek, Lisa R A1 - Wilson, James G A1 - Abecasis, Goncalo A1 - Arnett, Donna K A1 - Becker, Lewis C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bowden, Donald W A1 - Chang, Yi-Cheng A1 - Chen, Yii-der I A1 - Choi, Won Jung A1 - Correa, Adolfo A1 - Curran, Joanne E A1 - Daly, Mark J A1 - Dutcher, Susan K A1 - Ellinor, Patrick T A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Gabriel, Stacey A1 - Germer, Soren A1 - Gibbs, Richard A A1 - He, Jiang A1 - Hveem, Kristian A1 - Jarvik, Gail P A1 - Kaplan, Robert C A1 - Kardia, Sharon L R A1 - Kenny, Eimear A1 - Kim, Ryan W A1 - Kooperberg, Charles A1 - Laurie, Cathy C A1 - Lee, Seonwook A1 - Lloyd-Jones, Don M A1 - Loos, Ruth J F A1 - Lubitz, Steven A A1 - Mathias, Rasika A A1 - Martinez, Karine A Viaud A1 - McGarvey, Stephen T A1 - Mitchell, Braxton D A1 - Nickerson, Deborah A A1 - North, Kari E A1 - Palotie, Aarno A1 - Park, Cheol Joo A1 - Psaty, Bruce M A1 - Rao, D C A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Seo, Daekwan A1 - Seo, Jeong-Sun A1 - Smith, Albert V A1 - Tracy, Russell P A1 - Vasan, Ramachandran S A1 - Kathiresan, Sekar A1 - Cupples, L Adrienne A1 - Rotter, Jerome I A1 - Morrison, Alanna C A1 - Rich, Stephen S A1 - Ripatti, Samuli A1 - Willer, Cristen A1 - Peloso, Gina M AB -

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 × 10), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 × 10). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.

VL - 12 IS - 1 ER - TY - JOUR T1 - Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes. JF - Nat Commun Y1 - 2021 A1 - Goodrich, Julia K A1 - Singer-Berk, Moriel A1 - Son, Rachel A1 - Sveden, Abigail A1 - Wood, Jordan A1 - England, Eleina A1 - Cole, Joanne B A1 - Weisburd, Ben A1 - Watts, Nick A1 - Caulkins, Lizz A1 - Dornbos, Peter A1 - Koesterer, Ryan A1 - Zappala, Zachary A1 - Zhang, Haichen A1 - Maloney, Kristin A A1 - Dahl, Andy A1 - Aguilar-Salinas, Carlos A A1 - Atzmon, Gil A1 - Barajas-Olmos, Francisco A1 - Barzilai, Nir A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bonnycastle, Lori L A1 - Bottinger, Erwin A1 - Bowden, Donald W A1 - Centeno-Cruz, Federico A1 - Chambers, John C A1 - Chami, Nathalie A1 - Chan, Edmund A1 - Chan, Juliana A1 - Cheng, Ching-Yu A1 - Cho, Yoon Shin A1 - Contreras-Cubas, Cecilia A1 - Córdova, Emilio A1 - Correa, Adolfo A1 - DeFronzo, Ralph A A1 - Duggirala, Ravindranath A1 - Dupuis, Josée A1 - Garay-Sevilla, Ma Eugenia A1 - García-Ortiz, Humberto A1 - Gieger, Christian A1 - Glaser, Benjamin A1 - González-Villalpando, Clicerio A1 - Gonzalez, Ma Elena A1 - Grarup, Niels A1 - Groop, Leif A1 - Gross, Myron A1 - Haiman, Christopher A1 - Han, Sohee A1 - Hanis, Craig L A1 - Hansen, Torben A1 - Heard-Costa, Nancy L A1 - Henderson, Brian E A1 - Hernandez, Juan Manuel Malacara A1 - Hwang, Mi Yeong A1 - Islas-Andrade, Sergio A1 - Jørgensen, Marit E A1 - Kang, Hyun Min A1 - Kim, Bong-Jo A1 - Kim, Young Jin A1 - Koistinen, Heikki A A1 - Kooner, Jaspal Singh A1 - Kuusisto, Johanna A1 - Kwak, Soo-Heon A1 - Laakso, Markku A1 - Lange, Leslie A1 - Lee, Jong-Young A1 - Lee, Juyoung A1 - Lehman, Donna M A1 - Linneberg, Allan A1 - Liu, Jianjun A1 - Loos, Ruth J F A1 - Lyssenko, Valeriya A1 - Ma, Ronald C W A1 - Martínez-Hernández, Angélica A1 - Meigs, James B A1 - Meitinger, Thomas A1 - Mendoza-Caamal, Elvia A1 - Mohlke, Karen L A1 - Morris, Andrew D A1 - Morrison, Alanna C A1 - Ng, Maggie C Y A1 - Nilsson, Peter M A1 - O'Donnell, Christopher J A1 - Orozco, Lorena A1 - Palmer, Colin N A A1 - Park, Kyong Soo A1 - Post, Wendy S A1 - Pedersen, Oluf A1 - Preuss, Michael A1 - Psaty, Bruce M A1 - Reiner, Alexander P A1 - Revilla-Monsalve, Cristina A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Saleheen, Danish A1 - Schurmann, Claudia A1 - Sim, Xueling A1 - Sladek, Rob A1 - Small, Kerrin S A1 - So, Wing Yee A1 - Spector, Timothy D A1 - Strauch, Konstantin A1 - Strom, Tim M A1 - Tai, E Shyong A1 - Tam, Claudia H T A1 - Teo, Yik Ying A1 - Thameem, Farook A1 - Tomlinson, Brian A1 - Tracy, Russell P A1 - Tuomi, Tiinamaija A1 - Tuomilehto, Jaakko A1 - Tusié-Luna, Teresa A1 - van Dam, Rob M A1 - Vasan, Ramachandran S A1 - Wilson, James G A1 - Witte, Daniel R A1 - Wong, Tien-Yin A1 - Burtt, Noel P A1 - Zaitlen, Noah A1 - McCarthy, Mark I A1 - Boehnke, Michael A1 - Pollin, Toni I A1 - Flannick, Jason A1 - Mercader, Josep M A1 - O'Donnell-Luria, Anne A1 - Baxter, Samantha A1 - Florez, Jose C A1 - MacArthur, Daniel G A1 - Udler, Miriam S KW - Adult KW - Biological Variation, Population KW - Biomarkers KW - Diabetes Mellitus, Type 2 KW - Dyslipidemias KW - Exome KW - Genetic Predisposition to Disease KW - Genotype KW - Humans KW - Multifactorial Inheritance KW - Penetrance KW - Risk Assessment AB -

Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.

VL - 12 IS - 1 ER - TY - JOUR T1 - Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program. JF - PLoS One Y1 - 2021 A1 - Sarnowski, Chloe A1 - Chen, Han A1 - Biggs, Mary L A1 - Wassertheil-Smoller, Sylvia A1 - Bressler, Jan A1 - Irvin, Marguerite R A1 - Ryan, Kathleen A A1 - Karasik, David A1 - Arnett, Donna K A1 - Cupples, L Adrienne A1 - Fardo, David W A1 - Gogarten, Stephanie M A1 - Heavner, Benjamin D A1 - Jain, Deepti A1 - Kang, Hyun Min A1 - Kooperberg, Charles A1 - Mainous, Arch G A1 - Mitchell, Braxton D A1 - Morrison, Alanna C A1 - O'Connell, Jeffrey R A1 - Psaty, Bruce M A1 - Rice, Kenneth A1 - Smith, Albert V A1 - Vasan, Ramachandran S A1 - Windham, B Gwen A1 - Kiel, Douglas P A1 - Murabito, Joanne M A1 - Lunetta, Kathryn L AB -

Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. We aimed to identify rare and ancestry-specific genetic variants associated with handgrip strength by conducting whole-genome sequence association analyses using 13,552 participants from six studies representing diverse population groups from the Trans-Omics in Precision Medicine (TOPMed) Program. By leveraging multiple handgrip strength measures performed in study participants over time, we increased our effective sample size by 7-12%. Single-variant analyses identified ten handgrip strength loci among African-Americans: four rare variants, five low-frequency variants, and one common variant. One significant and four suggestive genes were identified associated with handgrip strength when aggregating rare and functional variants; all associations were ancestry-specific. We additionally leveraged the different ancestries available in the UK Biobank to further explore the ancestry-specific association signals from the single-variant association analyses. In conclusion, our study identified 11 new loci associated with handgrip strength with rare and/or ancestry-specific genetic variations, highlighting the added value of whole-genome sequencing in diverse samples. Several of the associations identified using single-variant or aggregate analyses lie in genes with a function relevant to the brain or muscle or were reported to be associated with muscle or age-related traits. Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings.

VL - 16 IS - 7 ER - TY - JOUR T1 - Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. JF - Nature Y1 - 2021 A1 - Taliun, Daniel A1 - Harris, Daniel N A1 - Kessler, Michael D A1 - Carlson, Jedidiah A1 - Szpiech, Zachary A A1 - Torres, Raul A1 - Taliun, Sarah A Gagliano A1 - Corvelo, André A1 - Gogarten, Stephanie M A1 - Kang, Hyun Min A1 - Pitsillides, Achilleas N A1 - LeFaive, Jonathon A1 - Lee, Seung-Been A1 - Tian, Xiaowen A1 - Browning, Brian L A1 - Das, Sayantan A1 - Emde, Anne-Katrin A1 - Clarke, Wayne E A1 - Loesch, Douglas P A1 - Shetty, Amol C A1 - Blackwell, Thomas W A1 - Smith, Albert V A1 - Wong, Quenna A1 - Liu, Xiaoming A1 - Conomos, Matthew P A1 - Bobo, Dean M A1 - Aguet, Francois A1 - Albert, Christine A1 - Alonso, Alvaro A1 - Ardlie, Kristin G A1 - Arking, Dan E A1 - Aslibekyan, Stella A1 - Auer, Paul L A1 - Barnard, John A1 - Barr, R Graham A1 - Barwick, Lucas A1 - Becker, Lewis C A1 - Beer, Rebecca L A1 - Benjamin, Emelia J A1 - Bielak, Lawrence F A1 - Blangero, John A1 - Boehnke, Michael A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Burchard, Esteban G A1 - Cade, Brian E A1 - Casella, James F A1 - Chalazan, Brandon A1 - Chasman, Daniel I A1 - Chen, Yii-Der Ida A1 - Cho, Michael H A1 - Choi, Seung Hoan A1 - Chung, Mina K A1 - Clish, Clary B A1 - Correa, Adolfo A1 - Curran, Joanne E A1 - Custer, Brian A1 - Darbar, Dawood A1 - Daya, Michelle A1 - de Andrade, Mariza A1 - DeMeo, Dawn L A1 - Dutcher, Susan K A1 - Ellinor, Patrick T A1 - Emery, Leslie S A1 - Eng, Celeste A1 - Fatkin, Diane A1 - Fingerlin, Tasha A1 - Forer, Lukas A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Fuchsberger, Christian A1 - Fullerton, Stephanie M A1 - Germer, Soren A1 - Gladwin, Mark T A1 - Gottlieb, Daniel J A1 - Guo, Xiuqing A1 - Hall, Michael E A1 - He, Jiang A1 - Heard-Costa, Nancy L A1 - Heckbert, Susan R A1 - Irvin, Marguerite R A1 - Johnsen, Jill M A1 - Johnson, Andrew D A1 - Kaplan, Robert A1 - Kardia, Sharon L R A1 - Kelly, Tanika A1 - Kelly, Shannon A1 - Kenny, Eimear E A1 - Kiel, Douglas P A1 - Klemmer, Robert A1 - Konkle, Barbara A A1 - Kooperberg, Charles A1 - Köttgen, Anna A1 - Lange, Leslie A A1 - Lasky-Su, Jessica A1 - Levy, Daniel A1 - Lin, Xihong A1 - Lin, Keng-Han A1 - Liu, Chunyu A1 - Loos, Ruth J F A1 - Garman, Lori A1 - Gerszten, Robert A1 - Lubitz, Steven A A1 - Lunetta, Kathryn L A1 - Mak, Angel C Y A1 - Manichaikul, Ani A1 - Manning, Alisa K A1 - Mathias, Rasika A A1 - McManus, David D A1 - McGarvey, Stephen T A1 - Meigs, James B A1 - Meyers, Deborah A A1 - Mikulla, Julie L A1 - Minear, Mollie A A1 - Mitchell, Braxton D A1 - Mohanty, Sanghamitra A1 - Montasser, May E A1 - Montgomery, Courtney A1 - Morrison, Alanna C A1 - Murabito, Joanne M A1 - Natale, Andrea A1 - Natarajan, Pradeep A1 - Nelson, Sarah C A1 - North, Kari E A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Pankratz, Nathan A1 - Peloso, Gina M A1 - Peyser, Patricia A A1 - Pleiness, Jacob A1 - Post, Wendy S A1 - Psaty, Bruce M A1 - Rao, D C A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Roden, Dan A1 - Rotter, Jerome I A1 - Ruczinski, Ingo A1 - Sarnowski, Chloe A1 - Schoenherr, Sebastian A1 - Schwartz, David A A1 - Seo, Jeong-Sun A1 - Seshadri, Sudha A1 - Sheehan, Vivien A A1 - Sheu, Wayne H A1 - Shoemaker, M Benjamin A1 - Smith, Nicholas L A1 - Smith, Jennifer A A1 - Sotoodehnia, Nona A1 - Stilp, Adrienne M A1 - Tang, Weihong A1 - Taylor, Kent D A1 - Telen, Marilyn A1 - Thornton, Timothy A A1 - Tracy, Russell P A1 - Van Den Berg, David J A1 - Vasan, Ramachandran S A1 - Viaud-Martinez, Karine A A1 - Vrieze, Scott A1 - Weeks, Daniel E A1 - Weir, Bruce S A1 - Weiss, Scott T A1 - Weng, Lu-Chen A1 - Willer, Cristen J A1 - Zhang, Yingze A1 - Zhao, Xutong A1 - Arnett, Donna K A1 - Ashley-Koch, Allison E A1 - Barnes, Kathleen C A1 - Boerwinkle, Eric A1 - Gabriel, Stacey A1 - Gibbs, Richard A1 - Rice, Kenneth M A1 - Rich, Stephen S A1 - Silverman, Edwin K A1 - Qasba, Pankaj A1 - Gan, Weiniu A1 - Papanicolaou, George J A1 - Nickerson, Deborah A A1 - Browning, Sharon R A1 - Zody, Michael C A1 - Zöllner, Sebastian A1 - Wilson, James G A1 - Cupples, L Adrienne A1 - Laurie, Cathy C A1 - Jaquish, Cashell E A1 - Hernandez, Ryan D A1 - O'Connor, Timothy D A1 - Abecasis, Goncalo R AB -

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes). In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.

VL - 590 IS - 7845 ER - TY - JOUR T1 - A System for Phenotype Harmonization in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. JF - Am J Epidemiol Y1 - 2021 A1 - Stilp, Adrienne M A1 - Emery, Leslie S A1 - Broome, Jai G A1 - Buth, Erin J A1 - Khan, Alyna T A1 - Laurie, Cecelia A A1 - Wang, Fei Fei A1 - Wong, Quenna A1 - Chen, Dongquan A1 - D'Augustine, Catherine M A1 - Heard-Costa, Nancy L A1 - Hohensee, Chancellor R A1 - Johnson, William Craig A1 - Juarez, Lucia D A1 - Liu, Jingmin A1 - Mutalik, Karen M A1 - Raffield, Laura M A1 - Wiggins, Kerri L A1 - de Vries, Paul S A1 - Kelly, Tanika N A1 - Kooperberg, Charles A1 - Natarajan, Pradeep A1 - Peloso, Gina M A1 - Peyser, Patricia A A1 - Reiner, Alex P A1 - Arnett, Donna K A1 - Aslibekyan, Stella A1 - Barnes, Kathleen C A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Cade, Brian E A1 - Chen, Ming-Huei A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - de Andrade, Mariza A1 - Ellinor, Patrick T A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Gan, Weiniu A1 - Ganesh, Santhi K A1 - Graffelman, Jan A1 - Grove, Megan L A1 - Guo, Xiuqing A1 - Hawley, Nicola L A1 - Hsu, Wan-Ling A1 - Jackson, Rebecca D A1 - Jaquish, Cashell E A1 - Johnson, Andrew D A1 - Kardia, Sharon L R A1 - Kelly, Shannon A1 - Lee, Jiwon A1 - Mathias, Rasika A A1 - McGarvey, Stephen T A1 - Mitchell, Braxton D A1 - Montasser, May E A1 - Morrison, Alanna C A1 - North, Kari E A1 - Nouraie, Seyed Mehdi A1 - Oelsner, Elizabeth C A1 - Pankratz, Nathan A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Vasan, Ramachandran S A1 - Weeks, Daniel E A1 - Weiss, Scott T A1 - Wilson, Carla G A1 - Yanek, Lisa R A1 - Psaty, Bruce M A1 - Heckbert, Susan R A1 - Laurie, Cathy C AB -

Genotype-phenotype association studies often combine phenotype data from multiple studies to increase power. Harmonization of the data usually requires substantial effort due to heterogeneity in phenotype definitions, study design, data collection procedures, and data set organization. Here we describe a centralized system for phenotype harmonization that includes input from phenotype domain and study experts, quality control, documentation, reproducible results, and data sharing mechanisms. This system was developed for the National Heart, Lung and Blood Institute's Trans-Omics for Precision Medicine program, which is generating genomic and other omics data for >80 studies with extensive phenotype data. To date, 63 phenotypes have been harmonized across thousands of participants from up to 17 studies per phenotype (participants recruited 1948-2012). We discuss challenges in this undertaking and how they were addressed. The harmonized phenotype data and associated documentation have been submitted to National Institutes of Health data repositories for controlled-access by the scientific community. We also provide materials to facilitate future harmonization efforts by the community, which include (1) the code used to generate the 63 harmonized phenotypes, enabling others to reproduce, modify or extend these harmonizations to additional studies; and (2) results of labeling thousands of phenotype variables with controlled vocabulary terms.

ER - TY - JOUR T1 - Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium. JF - EBioMedicine Y1 - 2021 A1 - Lin, Bridget M A1 - Grinde, Kelsey E A1 - Brody, Jennifer A A1 - Breeze, Charles E A1 - Raffield, Laura M A1 - Mychaleckyj, Josyf C A1 - Thornton, Timothy A A1 - Perry, James A A1 - Baier, Leslie J A1 - de Las Fuentes, Lisa A1 - Guo, Xiuqing A1 - Heavner, Benjamin D A1 - Hanson, Robert L A1 - Hung, Yi-Jen A1 - Qian, Huijun A1 - Hsiung, Chao A A1 - Hwang, Shih-Jen A1 - Irvin, Margaret R A1 - Jain, Deepti A1 - Kelly, Tanika N A1 - Kobes, Sayuko A1 - Lange, Leslie A1 - Lash, James P A1 - Li, Yun A1 - Liu, Xiaoming A1 - Mi, Xuenan A1 - Musani, Solomon K A1 - Papanicolaou, George J A1 - Parsa, Afshin A1 - Reiner, Alex P A1 - Salimi, Shabnam A1 - Sheu, Wayne H-H A1 - Shuldiner, Alan R A1 - Taylor, Kent D A1 - Smith, Albert V A1 - Smith, Jennifer A A1 - Tin, Adrienne A1 - Vaidya, Dhananjay A1 - Wallace, Robert B A1 - Yamamoto, Kenichi A1 - Sakaue, Saori A1 - Matsuda, Koichi A1 - Kamatani, Yoichiro A1 - Momozawa, Yukihide A1 - Yanek, Lisa R A1 - Young, Betsi A A1 - Zhao, Wei A1 - Okada, Yukinori A1 - Abecasis, Gonzalo A1 - Psaty, Bruce M A1 - Arnett, Donna K A1 - Boerwinkle, Eric A1 - Cai, Jianwen A1 - Yii-Der Chen, Ida A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - He, Jiang A1 - Kardia, Sharon Lr A1 - Kooperberg, Charles A1 - Mathias, Rasika A A1 - Mitchell, Braxton D A1 - Nickerson, Deborah A A1 - Turner, Steve T A1 - Vasan, Ramachandran S A1 - Rotter, Jerome I A1 - Levy, Daniel A1 - Kramer, Holly J A1 - Köttgen, Anna A1 - Rich, Stephen S A1 - Lin, Dan-Yu A1 - Browning, Sharon R A1 - Franceschini, Nora AB -

BACKGROUND: Genetic factors that influence kidney traits have been understudied for low frequency and ancestry-specific variants.

METHODS: We combined whole genome sequencing (WGS) data from 23,732 participants from 10 NHLBI Trans-Omics for Precision Medicine (TOPMed) Program multi-ethnic studies to identify novel loci for estimated glomerular filtration rate (eGFR). Participants included European, African, East Asian, and Hispanic ancestries. We applied linear mixed models using a genetic relationship matrix estimated from the WGS data and adjusted for age, sex, study, and ethnicity.

FINDINGS: When testing single variants, we identified three novel loci driven by low frequency variants more commonly observed in non-European ancestry (PRKAA2, rs180996919, minor allele frequency [MAF] 0.04%, P = 6.1 × 10; METTL8, rs116951054, MAF 0.09%, P = 4.5 × 10; and MATK, rs539182790, MAF 0.05%, P = 3.4 × 10). We also replicated two known loci for common variants (rs2461702, MAF=0.49, P = 1.2 × 10, nearest gene GATM, and rs71147340, MAF=0.34, P = 3.3 × 10, CDK12). Testing aggregated variants within a gene identified the MAF gene. A statistical approach based on local ancestry helped to identify replication samples for ancestry-specific variants.

INTERPRETATION: This study highlights challenges in studying variants influencing kidney traits that are low frequency in populations and more common in non-European ancestry.

VL - 63 ER - TY - JOUR T1 - Whole genome sequence analysis of platelet traits in the NHLBI trans-omics for precision medicine initiative. JF - Hum Mol Genet Y1 - 2021 A1 - Little, Amarise A1 - Hu, Yao A1 - Sun, Quan A1 - Jain, Deepti A1 - Broome, Jai A1 - Chen, Ming-Huei A1 - Thibord, Florian A1 - McHugh, Caitlin A1 - Surendran, Praveen A1 - Blackwell, Thomas W A1 - Brody, Jennifer A A1 - Bhan, Arunoday A1 - Chami, Nathalie A1 - Vries, Paul S A1 - Ekunwe, Lynette A1 - Heard-Costa, Nancy A1 - Hobbs, Brian D A1 - Manichaikul, Ani A1 - Moon, Jee-Young A1 - Preuss, Michael H A1 - Ryan, Kathleen A1 - Wang, Zhe A1 - Wheeler, Marsha A1 - Yanek, Lisa R A1 - Abecasis, Goncalo R A1 - Almasy, Laura A1 - Beaty, Terri H A1 - Becker, Lewis C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Butterworth, Adam S A1 - Choquet, Helene A1 - Correa, Adolfo A1 - Curran, Joanne E A1 - Faraday, Nauder A1 - Fornage, Myriam A1 - Glahn, David C A1 - Hou, Lifang A1 - Jorgenson, Eric A1 - Kooperberg, Charles A1 - Lewis, Joshua P A1 - Lloyd-Jones, Donald M A1 - Loos, Ruth J F A1 - Min, Nancy A1 - Mitchell, Braxton D A1 - Morrison, Alanna C A1 - Nickerson, Debbie A1 - North, Kari E A1 - O'Connell, Jeffrey R A1 - Pankratz, Nathan A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Smith, Albert V A1 - Smith, Nicholas L A1 - Tang, Hua A1 - Tracy, Russell P A1 - Conomos, Matthew P A1 - Laurie, Cecelia A A1 - Mathias, Rasika A A1 - Li, Yun A1 - Auer, Paul L A1 - Thornton, Timothy A1 - Reiner, Alexander P A1 - Johnson, Andrew D A1 - Raffield, Laura M AB -

Platelets play a key role in thrombosis and hemostasis. Platelet count (PLT) and mean platelet volume (MPV) are highly heritable quantitative traits, with hundreds of genetic signals previously identified, mostly in European ancestry populations. We here utilize whole genome sequencing from NHLBI's Trans-Omics for Precision Medicine Initiative (TOPMed) in a large multi-ethnic sample to further explore common and rare variation contributing to PLT (n = 61 200) and MPV (n = 23 485). We identified and replicated secondary signals at MPL (rs532784633) and PECAM1 (rs73345162), both more common in African ancestry populations. We also observed rare variation in Mendelian platelet related disorder genes influencing variation in platelet traits in TOPMed cohorts (not enriched for blood disorders). For example, association of GP9 with lower PLT and higher MPV was partly driven by a pathogenic Bernard-Soulier syndrome variant (rs5030764, p.Asn61Ser), and the signals at TUBB1 and CD36 were partly driven by loss of function variants not annotated as pathogenic in ClinVar (rs199948010 and rs571975065). However, residual signal remained for these gene-based signals after adjusting for lead variants, suggesting that additional variants in Mendelian genes with impacts in general population cohorts remain to be identified. Gene-based signals were also identified at several GWAS identified loci for genes not annotated for Mendelian platelet disorders (PTPRH, TET2, CHEK2), with somatic variation driving the result at TET2. These results highlight the value of whole genome sequencing in populations of diverse genetic ancestry to identify novel regulatory and coding signals, even for well-studied traits like platelet traits.

ER - TY - JOUR T1 - Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. JF - Genome Med Y1 - 2021 A1 - Cade, Brian E A1 - Lee, Jiwon A1 - Sofer, Tamar A1 - Wang, Heming A1 - Zhang, Man A1 - Chen, Han A1 - Gharib, Sina A A1 - Gottlieb, Daniel J A1 - Guo, Xiuqing A1 - Lane, Jacqueline M A1 - Liang, Jingjing A1 - Lin, Xihong A1 - Mei, Hao A1 - Patel, Sanjay R A1 - Purcell, Shaun M A1 - Saxena, Richa A1 - Shah, Neomi A A1 - Evans, Daniel S A1 - Hanis, Craig L A1 - Hillman, David R A1 - Mukherjee, Sutapa A1 - Palmer, Lyle J A1 - Stone, Katie L A1 - Tranah, Gregory J A1 - Abecasis, Goncalo R A1 - Boerwinkle, Eric A A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Kaplan, Robert C A1 - Nickerson, Deborah A A1 - North, Kari E A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Tracy, Russell P A1 - Vasan, Ramachandran S A1 - Wilson, James G A1 - Zhu, Xiaofeng A1 - Redline, Susan AB -

BACKGROUND: Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing.

METHODS: The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap.

RESULTS: We identified a multi-ethnic set-based rare-variant association (p = 3.48 × 10) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways.

CONCLUSIONS: We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.

VL - 13 IS - 1 ER - TY - JOUR T1 - Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. JF - Am J Hum Genet Y1 - 2021 A1 - Hu, Yao A1 - Stilp, Adrienne M A1 - McHugh, Caitlin P A1 - Rao, Shuquan A1 - Jain, Deepti A1 - Zheng, Xiuwen A1 - Lane, John A1 - Méric de Bellefon, Sébastian A1 - Raffield, Laura M A1 - Chen, Ming-Huei A1 - Yanek, Lisa R A1 - Wheeler, Marsha A1 - Yao, Yao A1 - Ren, Chunyan A1 - Broome, Jai A1 - Moon, Jee-Young A1 - de Vries, Paul S A1 - Hobbs, Brian D A1 - Sun, Quan A1 - Surendran, Praveen A1 - Brody, Jennifer A A1 - Blackwell, Thomas W A1 - Choquet, Helene A1 - Ryan, Kathleen A1 - Duggirala, Ravindranath A1 - Heard-Costa, Nancy A1 - Wang, Zhe A1 - Chami, Nathalie A1 - Preuss, Michael H A1 - Min, Nancy A1 - Ekunwe, Lynette A1 - Lange, Leslie A A1 - Cushman, Mary A1 - Faraday, Nauder A1 - Curran, Joanne E A1 - Almasy, Laura A1 - Kundu, Kousik A1 - Smith, Albert V A1 - Gabriel, Stacey A1 - Rotter, Jerome I A1 - Fornage, Myriam A1 - Lloyd-Jones, Donald M A1 - Vasan, Ramachandran S A1 - Smith, Nicholas L A1 - North, Kari E A1 - Boerwinkle, Eric A1 - Becker, Lewis C A1 - Lewis, Joshua P A1 - Abecasis, Goncalo R A1 - Hou, Lifang A1 - O'Connell, Jeffrey R A1 - Morrison, Alanna C A1 - Beaty, Terri H A1 - Kaplan, Robert A1 - Correa, Adolfo A1 - Blangero, John A1 - Jorgenson, Eric A1 - Psaty, Bruce M A1 - Kooperberg, Charles A1 - Walton, Russell T A1 - Kleinstiver, Benjamin P A1 - Tang, Hua A1 - Loos, Ruth J F A1 - Soranzo, Nicole A1 - Butterworth, Adam S A1 - Nickerson, Debbie A1 - Rich, Stephen S A1 - Mitchell, Braxton D A1 - Johnson, Andrew D A1 - Auer, Paul L A1 - Li, Yun A1 - Mathias, Rasika A A1 - Lettre, Guillaume A1 - Pankratz, Nathan A1 - Laurie, Cathy C A1 - Laurie, Cecelia A A1 - Bauer, Daniel E A1 - Conomos, Matthew P A1 - Reiner, Alexander P KW - Adult KW - Aged KW - Chromosomes, Human, Pair 16 KW - Datasets as Topic KW - Erythrocytes KW - Female KW - Gene Editing KW - Genetic Variation KW - Genome-Wide Association Study KW - HEK293 Cells KW - Humans KW - Male KW - Middle Aged KW - National Heart, Lung, and Blood Institute (U.S.) KW - Phenotype KW - Quality Control KW - Reproducibility of Results KW - United States AB -

Whole-genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci, which have not been reported previously. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, and G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these discovered variants are rare/low frequency, and several are observed disproportionately among non-European Ancestry (African, Hispanic/Latino, or East Asian) populations. We identified a 3 bp indel p.Lys2169del (g.88717175_88717177TCT[4]) (common only in the Ashkenazi Jewish population) of PIEZO1, a gene responsible for the Mendelian red cell disorder hereditary xerocytosis (MIM: 194380), associated with higher mean corpuscular hemoglobin concentration (MCHC). In stepwise conditional analysis and in gene-based rare variant aggregated association analysis, we identified several of the variants in HBB, HBA1, TMPRSS6, and G6PD that represent the carrier state for known coding, promoter, or splice site loss-of-function variants that cause inherited RBC disorders. Finally, we applied base and nuclease editing to demonstrate that the sentinel variant rs112097551 (nearest gene RPN1) acts through a cis-regulatory element that exerts long-range control of the gene RUVBL1 which is essential for hematopoiesis. Together, these results demonstrate the utility of WGS in ethnically diverse population-based samples and gene editing for expanding knowledge of the genetic architecture of quantitative hematologic traits and suggest a continuum between complex trait and Mendelian red cell disorders.

VL - 108 IS - 5 ER - TY - JOUR T1 - Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program. JF - Am J Hum Genet Y1 - 2021 A1 - Mikhaylova, Anna V A1 - McHugh, Caitlin P A1 - Polfus, Linda M A1 - Raffield, Laura M A1 - Boorgula, Meher Preethi A1 - Blackwell, Thomas W A1 - Brody, Jennifer A A1 - Broome, Jai A1 - Chami, Nathalie A1 - Chen, Ming-Huei A1 - Conomos, Matthew P A1 - Cox, Corey A1 - Curran, Joanne E A1 - Daya, Michelle A1 - Ekunwe, Lynette A1 - Glahn, David C A1 - Heard-Costa, Nancy A1 - Highland, Heather M A1 - Hobbs, Brian D A1 - Ilboudo, Yann A1 - Jain, Deepti A1 - Lange, Leslie A A1 - Miller-Fleming, Tyne W A1 - Min, Nancy A1 - Moon, Jee-Young A1 - Preuss, Michael H A1 - Rosen, Jonathon A1 - Ryan, Kathleen A1 - Smith, Albert V A1 - Sun, Quan A1 - Surendran, Praveen A1 - de Vries, Paul S A1 - Walter, Klaudia A1 - Wang, Zhe A1 - Wheeler, Marsha A1 - Yanek, Lisa R A1 - Zhong, Xue A1 - Abecasis, Goncalo R A1 - Almasy, Laura A1 - Barnes, Kathleen C A1 - Beaty, Terri H A1 - Becker, Lewis C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Butterworth, Adam S A1 - Chavan, Sameer A1 - Cho, Michael H A1 - Choquet, Helene A1 - Correa, Adolfo A1 - Cox, Nancy A1 - DeMeo, Dawn L A1 - Faraday, Nauder A1 - Fornage, Myriam A1 - Gerszten, Robert E A1 - Hou, Lifang A1 - Johnson, Andrew D A1 - Jorgenson, Eric A1 - Kaplan, Robert A1 - Kooperberg, Charles A1 - Kundu, Kousik A1 - Laurie, Cecelia A A1 - Lettre, Guillaume A1 - Lewis, Joshua P A1 - Li, Bingshan A1 - Li, Yun A1 - Lloyd-Jones, Donald M A1 - Loos, Ruth J F A1 - Manichaikul, Ani A1 - Meyers, Deborah A A1 - Mitchell, Braxton D A1 - Morrison, Alanna C A1 - Ngo, Debby A1 - Nickerson, Deborah A A1 - Nongmaithem, Suraj A1 - North, Kari E A1 - O'Connell, Jeffrey R A1 - Ortega, Victor E A1 - Pankratz, Nathan A1 - Perry, James A A1 - Psaty, Bruce M A1 - Rich, Stephen S A1 - Soranzo, Nicole A1 - Rotter, Jerome I A1 - Silverman, Edwin K A1 - Smith, Nicholas L A1 - Tang, Hua A1 - Tracy, Russell P A1 - Thornton, Timothy A A1 - Vasan, Ramachandran S A1 - Zein, Joe A1 - Mathias, Rasika A A1 - Reiner, Alexander P A1 - Auer, Paul L KW - Asthma KW - Biomarkers KW - Dermatitis, Atopic KW - Genetic Predisposition to Disease KW - Genome, Human KW - Genome-Wide Association Study KW - Humans KW - Leukocytes KW - National Heart, Lung, and Blood Institute (U.S.) KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Prognosis KW - Proteome KW - Pulmonary Disease, Chronic Obstructive KW - Quantitative Trait Loci KW - United Kingdom KW - United States KW - Whole Genome Sequencing AB -

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.

VL - 108 IS - 10 ER - TY - JOUR T1 - Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data. JF - Nat Genet Y1 - 2022 A1 - Wainschtein, Pierrick A1 - Jain, Deepti A1 - Zheng, Zhili A1 - Cupples, L Adrienne A1 - Shadyab, Aladdin H A1 - McKnight, Barbara A1 - Shoemaker, Benjamin M A1 - Mitchell, Braxton D A1 - Psaty, Bruce M A1 - Kooperberg, Charles A1 - Liu, Ching-Ti A1 - Albert, Christine M A1 - Roden, Dan A1 - Chasman, Daniel I A1 - Darbar, Dawood A1 - Lloyd-Jones, Donald M A1 - Arnett, Donna K A1 - Regan, Elizabeth A A1 - Boerwinkle, Eric A1 - Rotter, Jerome I A1 - O'Connell, Jeffrey R A1 - Yanek, Lisa R A1 - de Andrade, Mariza A1 - Allison, Matthew A A1 - McDonald, Merry-Lynn N A1 - Chung, Mina K A1 - Fornage, Myriam A1 - Chami, Nathalie A1 - Smith, Nicholas L A1 - Ellinor, Patrick T A1 - Vasan, Ramachandran S A1 - Mathias, Rasika A A1 - Loos, Ruth J F A1 - Rich, Stephen S A1 - Lubitz, Steven A A1 - Heckbert, Susan R A1 - Redline, Susan A1 - Guo, Xiuqing A1 - Chen, Y -D Ida A1 - Laurie, Cecelia A A1 - Hernandez, Ryan D A1 - McGarvey, Stephen T A1 - Goddard, Michael E A1 - Laurie, Cathy C A1 - North, Kari E A1 - Lange, Leslie A A1 - Weir, Bruce S A1 - Yengo, Loic A1 - Yang, Jian A1 - Visscher, Peter M AB -

Analyses of data from genome-wide association studies on unrelated individuals have shown that, for human traits and diseases, approximately one-third to two-thirds of heritability is captured by common SNPs. However, it is not known whether the remaining heritability is due to the imperfect tagging of causal variants by common SNPs, in particular whether the causal variants are rare, or whether it is overestimated due to bias in inference from pedigree data. Here we estimated heritability for height and body mass index (BMI) from whole-genome sequence data on 25,465 unrelated individuals of European ancestry. The estimated heritability was 0.68 (standard error 0.10) for height and 0.30 (standard error 0.10) for body mass index. Low minor allele frequency variants in low linkage disequilibrium (LD) with neighboring variants were enriched for heritability, to a greater extent for protein-altering variants, consistent with negative selection. Our results imply that rare variants, in particular those in regions of low linkage disequilibrium, are a major source of the still missing heritability of complex traits and disease.

VL - 54 IS - 3 ER - TY - JOUR T1 - Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis. JF - J Alzheimers Dis Y1 - 2022 A1 - Frenzel, Stefan A1 - Bis, Josh C A1 - Gudmundsson, Elias F A1 - O'Donnell, Adrienne A1 - Simino, Jeannette A1 - Yaqub, Amber A1 - Bartz, Traci M A1 - Brusselle, Guy G O A1 - Bülow, Robin A1 - DeCarli, Charles S A1 - Ewert, Ralf A1 - Gharib, Sina A A1 - Ghosh, Saptaparni A1 - Gireud-Goss, Monica A1 - Gottesman, Rebecca F A1 - Ikram, M Arfan A1 - Knopman, David S A1 - Launer, Lenore J A1 - London, Stephanie J A1 - Longstreth, W T A1 - Lopez, Oscar L A1 - Melo van Lent, Debora A1 - O'Connor, George A1 - Satizabal, Claudia L A1 - Shrestha, Srishti A1 - Sigurdsson, Sigurdur A1 - Stubbe, Beate A1 - Talluri, Rajesh A1 - Vasan, Ramachandran S A1 - Vernooij, Meike W A1 - Völzke, Henry A1 - Wiggins, Kerri L A1 - Yu, Bing A1 - Beiser, Alexa S A1 - Gudnason, Vilmundur A1 - Mosley, Thomas A1 - Psaty, Bruce M A1 - Wolters, Frank J A1 - Grabe, Hans J A1 - Seshadri, Sudha AB -

BACKGROUND: Previous studies suggest poor pulmonary function is associated with increased burden of cerebral white matter hyperintensities and brain atrophy among elderly individuals, but the results are inconsistent.

OBJECTIVE: To study the cross-sectional associations of pulmonary function with structural brain variables.

METHODS: Data from six large community-based samples (N = 11,091) were analyzed. Spirometric measurements were standardized with respect to age, sex, height, and ethnicity using reference equations of the Global Lung Function Initiative. Associations of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and their ratio FEV1/FVC with brain volume, gray matter volume, hippocampal volume, and volume of white matter hyperintensities were investigated using multivariable linear regressions for each study separately and then combined using random-effect meta-analyses.

RESULTS: FEV1 and FVC were positively associated with brain volume, gray matter volume, and hippocampal volume, and negatively associated with white matter hyperintensities volume after multiple testing correction, with little heterogeneity present between the studies. For instance, an increase of FVC by one unit was associated with 3.5 ml higher brain volume (95% CI: [2.2, 4.9]). In contrast, results for FEV1/FVC were more heterogeneous across studies, with significant positive associations with brain volume, gray matter volume, and hippocampal volume, but not white matter hyperintensities volume. Associations of brain variables with both FEV1 and FVC were consistently stronger than with FEV1/FVC, specifically with brain volume and white matter hyperintensities volume.

CONCLUSION: In cross-sectional analyses, worse pulmonary function is associated with smaller brain volumes and higher white matter hyperintensities burden.

ER - TY - JOUR T1 - Correlations between complex human phenotypes vary by genetic background, gender, and environment. JF - Cell Rep Med Y1 - 2022 A1 - Elgart, Michael A1 - Goodman, Matthew O A1 - Isasi, Carmen A1 - Chen, Han A1 - Morrison, Alanna C A1 - de Vries, Paul S A1 - Xu, Huichun A1 - Manichaikul, Ani W A1 - Guo, Xiuqing A1 - Franceschini, Nora A1 - Psaty, Bruce M A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Lloyd-Jones, Donald M A1 - Fornage, Myriam A1 - Correa, Adolfo A1 - Heard-Costa, Nancy L A1 - Vasan, Ramachandran S A1 - Hernandez, Ryan A1 - Kaplan, Robert C A1 - Redline, Susan A1 - Sofer, Tamar KW - Female KW - Genetic Background KW - Humans KW - Male KW - Phenotype AB -

We develop a closed-form Haseman-Elston estimator for genetic and environmental correlation coefficients between complex phenotypes, which we term HEc, that is as precise as GCTA yet ∼20× faster. We estimate genetic and environmental correlations between over 7,000 phenotype pairs in subgroups from the Trans-Omics in Precision Medicine (TOPMed) program. We demonstrate substantial differences in both heritabilities and genetic correlations for multiple phenotypes and phenotype pairs between individuals of self-reported Black, Hispanic/Latino, and White backgrounds. We similarly observe differences in many of the genetic and environmental correlations between genders. To estimate the contribution of genetics to the observed phenotypic correlation, we introduce "fractional genetic correlation" as the fraction of phenotypic correlation explained by genetics. Finally, we quantify the enrichment of correlations between phenotypic domains, each of which is comprised of multiple phenotypes. Altogether, we demonstrate that the observed correlations between complex human phenotypes depend on the genetic background of the individuals, their gender, and their environment.

VL - 3 IS - 12 ER - TY - JOUR T1 - A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies. JF - Nat Methods Y1 - 2022 A1 - Li, Zilin A1 - Li, Xihao A1 - Zhou, Hufeng A1 - Gaynor, Sheila M A1 - Selvaraj, Margaret Sunitha A1 - Arapoglou, Theodore A1 - Quick, Corbin A1 - Liu, Yaowu A1 - Chen, Han A1 - Sun, Ryan A1 - Dey, Rounak A1 - Arnett, Donna K A1 - Auer, Paul L A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Blackwell, Thomas W A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Cade, Brian E A1 - Conomos, Matthew P A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Curran, Joanne E A1 - de Vries, Paul S A1 - Duggirala, Ravindranath A1 - Franceschini, Nora A1 - Freedman, Barry I A1 - Göring, Harald H H A1 - Guo, Xiuqing A1 - Kalyani, Rita R A1 - Kooperberg, Charles A1 - Kral, Brian G A1 - Lange, Leslie A A1 - Lin, Bridget M A1 - Manichaikul, Ani A1 - Manning, Alisa K A1 - Martin, Lisa W A1 - Mathias, Rasika A A1 - Meigs, James B A1 - Mitchell, Braxton D A1 - Montasser, May E A1 - Morrison, Alanna C A1 - Naseri, Take A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Peyser, Patricia A A1 - Psaty, Bruce M A1 - Raffield, Laura M A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Reupena, Muagututi'a Sefuiva A1 - Rice, Kenneth M A1 - Rich, Stephen S A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Taub, Margaret A A1 - Vasan, Ramachandran S A1 - Weeks, Daniel E A1 - Wilson, James G A1 - Yanek, Lisa R A1 - Zhao, Wei A1 - Rotter, Jerome I A1 - Willer, Cristen J A1 - Natarajan, Pradeep A1 - Peloso, Gina M A1 - Lin, Xihong KW - Genetic Variation KW - Genome KW - Genome-Wide Association Study KW - Humans KW - Phenotype KW - Whole Genome Sequencing AB -

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate multiple functional annotations. In non-gene-centric analysis, STAARpipeline uses SCANG-STAAR to incorporate dynamic window sizes and multiple functional annotations. We apply STAARpipeline to identify noncoding RV sets associated with four lipid traits in 21,015 discovery samples from the Trans-Omics for Precision Medicine (TOPMed) program and replicate several of them in an additional 9,123 TOPMed samples. We also analyze five non-lipid TOPMed traits.

VL - 19 IS - 12 ER - TY - JOUR T1 - Plasma proteomic signature of decline in gait speed and grip strength. JF - Aging Cell Y1 - 2022 A1 - Liu, Xiaojuan A1 - Pan, Stephanie A1 - Xanthakis, Vanessa A1 - Vasan, Ramachandran S A1 - Psaty, Bruce M A1 - Austin, Thomas R A1 - Newman, Anne B A1 - Sanders, Jason L A1 - Wu, Chenkai A1 - Tracy, Russell P A1 - Gerszten, Robert E A1 - Odden, Michelle C KW - Adult KW - Female KW - Gait KW - Hand Strength KW - Humans KW - Independent Living KW - Male KW - Proteomics KW - Walking Speed AB -

The biological mechanisms underlying decline in physical function with age remain unclear. We examined the plasma proteomic profile associated with longitudinal changes in physical function measured by gait speed and grip strength in community-dwelling adults. We applied an aptamer-based platform to assay 1154 plasma proteins on 2854 participants (60% women, aged 76 years) in the Cardiovascular Health Study (CHS) in 1992-1993 and 1130 participants (55% women, aged 54 years) in the Framingham Offspring Study (FOS) in 1991-1995. Gait speed and grip strength were measured annually for 7 years in CHS and at cycles 7 (1998-2001) and 8 (2005-2008) in FOS. The associations of individual protein levels (log-transformed and standardized) with longitudinal changes in gait speed and grip strength in two populations were examined separately by linear mixed-effects models. Meta-analyses were implemented using random-effects models and corrected for multiple testing. We found that plasma levels of 14 and 18 proteins were associated with changes in gait speed and grip strength, respectively (corrected p < 0.05). The proteins most strongly associated with gait speed decline were GDF-15 (Meta-analytic p = 1.58 × 10 ), pleiotrophin (1.23 × 10 ), and TIMP-1 (5.97 × 10 ). For grip strength decline, the strongest associations were for carbonic anhydrase III (1.09 × 10 ), CDON (2.38 × 10 ), and SMOC1 (7.47 × 10 ). Several statistically significant proteins are involved in the inflammatory responses or antagonism of activin by follistatin pathway. These novel proteomic biomarkers and pathways should be further explored as future mechanisms and targets for age-related functional decline.

VL - 21 IS - 12 ER - TY - JOUR T1 - Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program. JF - Am J Hum Genet Y1 - 2022 A1 - Hu, Xiaowei A1 - Qiao, Dandi A1 - Kim, Wonji A1 - Moll, Matthew A1 - Balte, Pallavi P A1 - Lange, Leslie A A1 - Bartz, Traci M A1 - Kumar, Rajesh A1 - Li, Xingnan A1 - Yu, Bing A1 - Cade, Brian E A1 - Laurie, Cecelia A A1 - Sofer, Tamar A1 - Ruczinski, Ingo A1 - Nickerson, Deborah A A1 - Muzny, Donna M A1 - Metcalf, Ginger A A1 - Doddapaneni, Harshavardhan A1 - Gabriel, Stacy A1 - Gupta, Namrata A1 - Dugan-Perez, Shannon A1 - Cupples, L Adrienne A1 - Loehr, Laura R A1 - Jain, Deepti A1 - Rotter, Jerome I A1 - Wilson, James G A1 - Psaty, Bruce M A1 - Fornage, Myriam A1 - Morrison, Alanna C A1 - Vasan, Ramachandran S A1 - Washko, George A1 - Rich, Stephen S A1 - O'Connor, George T A1 - Bleecker, Eugene A1 - Kaplan, Robert C A1 - Kalhan, Ravi A1 - Redline, Susan A1 - Gharib, Sina A A1 - Meyers, Deborah A1 - Ortega, Victor A1 - Dupuis, Josée A1 - London, Stephanie J A1 - Lappalainen, Tuuli A1 - Oelsner, Elizabeth C A1 - Silverman, Edwin K A1 - Barr, R Graham A1 - Thornton, Timothy A A1 - Wheeler, Heather E A1 - Cho, Michael H A1 - Im, Hae Kyung A1 - Manichaikul, Ani AB -

While polygenic risk scores (PRSs) enable early identification of genetic risk for chronic obstructive pulmonary disease (COPD), predictive performance is limited when the discovery and target populations are not well matched. Hypothesizing that the biological mechanisms of disease are shared across ancestry groups, we introduce a PrediXcan-derived polygenic transcriptome risk score (PTRS) to improve cross-ethnic portability of risk prediction. We constructed the PTRS using summary statistics from application of PrediXcan on large-scale GWASs of lung function (forced expiratory volume in 1 s [FEV] and its ratio to forced vital capacity [FEV/FVC]) in the UK Biobank. We examined prediction performance and cross-ethnic portability of PTRS through smoking-stratified analyses both on 29,381 multi-ethnic participants from TOPMed population/family-based cohorts and on 11,771 multi-ethnic participants from TOPMed COPD-enriched studies. Analyses were carried out for two dichotomous COPD traits (moderate-to-severe and severe COPD) and two quantitative lung function traits (FEV and FEV/FVC). While the proposed PTRS showed weaker associations with disease than PRS for European ancestry, the PTRS showed stronger association with COPD than PRS for African Americans (e.g., odds ratio [OR] = 1.24 [95% confidence interval [CI]: 1.08-1.43] for PTRS versus 1.10 [0.96-1.26] for PRS among heavy smokers with ≥ 40 pack-years of smoking) for moderate-to-severe COPD. Cross-ethnic portability of the PTRS was significantly higher than the PRS (paired t test p < 2.2 × 10 with portability gains ranging from 5% to 28%) for both dichotomous COPD traits and across all smoking strata. Our study demonstrates the value of PTRS for improved cross-ethnic portability compared to PRS in predicting COPD risk.

ER - TY - JOUR T1 - Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing. JF - Eur J Epidemiol Y1 - 2022 A1 - Austin, Thomas R A1 - McHugh, Caitlin P A1 - Brody, Jennifer A A1 - Bis, Joshua C A1 - Sitlani, Colleen M A1 - Bartz, Traci M A1 - Biggs, Mary L A1 - Bansal, Nisha A1 - Bůzková, Petra A1 - Carr, Steven A A1 - deFilippi, Christopher R A1 - Elkind, Mitchell S V A1 - Fink, Howard A A1 - Floyd, James S A1 - Fohner, Alison E A1 - Gerszten, Robert E A1 - Heckbert, Susan R A1 - Katz, Daniel H A1 - Kizer, Jorge R A1 - Lemaitre, Rozenn N A1 - Longstreth, W T A1 - McKnight, Barbara A1 - Mei, Hao A1 - Mukamal, Kenneth J A1 - Newman, Anne B A1 - Ngo, Debby A1 - Odden, Michelle C A1 - Vasan, Ramachandran S A1 - Shojaie, Ali A1 - Simon, Noah A1 - Smith, George Davey A1 - Davies, Neil M A1 - Siscovick, David S A1 - Sotoodehnia, Nona A1 - Tracy, Russell P A1 - Wiggins, Kerri L A1 - Zheng, Jie A1 - Psaty, Bruce M AB -

BACKGROUND: In the last decade, genomic studies have identified and replicated thousands of genetic associations with measures of health and disease and contributed to the understanding of the etiology of a variety of health conditions. Proteins are key biomarkers in clinical medicine and often drug-therapy targets. Like genomics, proteomics can advance our understanding of biology.

METHODS AND RESULTS: In the setting of the Cardiovascular Health Study (CHS), a cohort study of older adults, an aptamer-based method that has high sensitivity for low-abundance proteins was used to assay 4979 proteins in frozen, stored plasma from 3188 participants (61% women, mean age 74 years). CHS provides active support, including central analysis, for seven phenotype-specific working groups (WGs). Each CHS WG is led by one or two senior investigators and includes 10 to 20 early or mid-career scientists. In this setting of mentored access, the proteomic data and analytic methods are widely shared with the WGs and investigators so that they may evaluate associations between baseline levels of circulating proteins and the incidence of a variety of health outcomes in prospective cohort analyses. We describe the design of CHS, the CHS Proteomics Study, characteristics of participants, quality control measures, and structural characteristics of the data provided to CHS WGs. We additionally highlight plans for validation and replication of novel proteomic associations.

CONCLUSION: The CHS Proteomics Study offers an opportunity for collaborative data sharing to improve our understanding of the etiology of a variety of health conditions in older adults.

ER - TY - JOUR T1 - Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. JF - Am J Hum Genet Y1 - 2022 A1 - Hindy, George A1 - Dornbos, Peter A1 - Chaffin, Mark D A1 - Liu, Dajiang J A1 - Wang, Minxian A1 - Selvaraj, Margaret Sunitha A1 - Zhang, David A1 - Park, Joseph A1 - Aguilar-Salinas, Carlos A A1 - Antonacci-Fulton, Lucinda A1 - Ardissino, Diego A1 - Arnett, Donna K A1 - Aslibekyan, Stella A1 - Atzmon, Gil A1 - Ballantyne, Christie M A1 - Barajas-Olmos, Francisco A1 - Barzilai, Nir A1 - Becker, Lewis C A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bonnycastle, Lori L A1 - Bottinger, Erwin A1 - Bowden, Donald W A1 - Bown, Matthew J A1 - Brody, Jennifer A A1 - Broome, Jai G A1 - Burtt, Noel P A1 - Cade, Brian E A1 - Centeno-Cruz, Federico A1 - Chan, Edmund A1 - Chang, Yi-Cheng A1 - Chen, Yii-der I A1 - Cheng, Ching-Yu A1 - Choi, Won Jung A1 - Chowdhury, Rajiv A1 - Contreras-Cubas, Cecilia A1 - Córdova, Emilio J A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Curran, Joanne E A1 - Danesh, John A1 - de Vries, Paul S A1 - DeFronzo, Ralph A A1 - Doddapaneni, Harsha A1 - Duggirala, Ravindranath A1 - Dutcher, Susan K A1 - Ellinor, Patrick T A1 - Emery, Leslie S A1 - Florez, Jose C A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Fuster, Valentin A1 - Garay-Sevilla, Ma Eugenia A1 - García-Ortiz, Humberto A1 - Germer, Soren A1 - Gibbs, Richard A A1 - Gieger, Christian A1 - Glaser, Benjamin A1 - Gonzalez, Clicerio A1 - Gonzalez-Villalpando, Maria Elena A1 - Graff, Mariaelisa A1 - Graham, Sarah E A1 - Grarup, Niels A1 - Groop, Leif C A1 - Guo, Xiuqing A1 - Gupta, Namrata A1 - Han, Sohee A1 - Hanis, Craig L A1 - Hansen, Torben A1 - He, Jiang A1 - Heard-Costa, Nancy L A1 - Hung, Yi-Jen A1 - Hwang, Mi Yeong A1 - Irvin, Marguerite R A1 - Islas-Andrade, Sergio A1 - Jarvik, Gail P A1 - Kang, Hyun Min A1 - Kardia, Sharon L R A1 - Kelly, Tanika A1 - Kenny, Eimear E A1 - Khan, Alyna T A1 - Kim, Bong-Jo A1 - Kim, Ryan W A1 - Kim, Young Jin A1 - Koistinen, Heikki A A1 - Kooperberg, Charles A1 - Kuusisto, Johanna A1 - Kwak, Soo Heon A1 - Laakso, Markku A1 - Lange, Leslie A A1 - Lee, Jiwon A1 - Lee, Juyoung A1 - Lee, Seonwook A1 - Lehman, Donna M A1 - Lemaitre, Rozenn N A1 - Linneberg, Allan A1 - Liu, Jianjun A1 - Loos, Ruth J F A1 - Lubitz, Steven A A1 - Lyssenko, Valeriya A1 - Ma, Ronald C W A1 - Martin, Lisa Warsinger A1 - Martínez-Hernández, Angélica A1 - Mathias, Rasika A A1 - McGarvey, Stephen T A1 - McPherson, Ruth A1 - Meigs, James B A1 - Meitinger, Thomas A1 - Melander, Olle A1 - Mendoza-Caamal, Elvia A1 - Metcalf, Ginger A A1 - Mi, Xuenan A1 - Mohlke, Karen L A1 - Montasser, May E A1 - Moon, Jee-Young A1 - Moreno-Macias, Hortensia A1 - Morrison, Alanna C A1 - Muzny, Donna M A1 - Nelson, Sarah C A1 - Nilsson, Peter M A1 - O'Connell, Jeffrey R A1 - Orho-Melander, Marju A1 - Orozco, Lorena A1 - Palmer, Colin N A A1 - Palmer, Nicholette D A1 - Park, Cheol Joo A1 - Park, Kyong Soo A1 - Pedersen, Oluf A1 - Peralta, Juan M A1 - Peyser, Patricia A A1 - Post, Wendy S A1 - Preuss, Michael A1 - Psaty, Bruce M A1 - Qi, Qibin A1 - Rao, D C A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Revilla-Monsalve, Cristina A1 - Rich, Stephen S A1 - Samani, Nilesh A1 - Schunkert, Heribert A1 - Schurmann, Claudia A1 - Seo, Daekwan A1 - Seo, Jeong-Sun A1 - Sim, Xueling A1 - Sladek, Rob A1 - Small, Kerrin S A1 - So, Wing Yee A1 - Stilp, Adrienne M A1 - Tai, E Shyong A1 - Tam, Claudia H T A1 - Taylor, Kent D A1 - Teo, Yik Ying A1 - Thameem, Farook A1 - Tomlinson, Brian A1 - Tsai, Michael Y A1 - Tuomi, Tiinamaija A1 - Tuomilehto, Jaakko A1 - Tusié-Luna, Teresa A1 - Udler, Miriam S A1 - van Dam, Rob M A1 - Vasan, Ramachandran S A1 - Viaud Martinez, Karine A A1 - Wang, Fei Fei A1 - Wang, Xuzhi A1 - Watkins, Hugh A1 - Weeks, Daniel E A1 - Wilson, James G A1 - Witte, Daniel R A1 - Wong, Tien-Yin A1 - Yanek, Lisa R A1 - Kathiresan, Sekar A1 - Rader, Daniel J A1 - Rotter, Jerome I A1 - Boehnke, Michael A1 - McCarthy, Mark I A1 - Willer, Cristen J A1 - Natarajan, Pradeep A1 - Flannick, Jason A A1 - Khera, Amit V A1 - Peloso, Gina M KW - Alleles KW - Blood Glucose KW - Case-Control Studies KW - Computational Biology KW - Databases, Genetic KW - Diabetes Mellitus, Type 2 KW - Exome KW - Genetic Predisposition to Disease KW - Genetic Variation KW - Genetics, Population KW - Genome-Wide Association Study KW - Humans KW - Lipid Metabolism KW - Lipids KW - Liver KW - Molecular Sequence Annotation KW - Multifactorial Inheritance KW - Open Reading Frames KW - Phenotype KW - Polymorphism, Single Nucleotide AB -

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.

VL - 109 IS - 1 ER - TY - JOUR T1 - Rare genetic variants explain missing heritability in smoking. JF - Nat Hum Behav Y1 - 2022 A1 - Jang, Seon-Kyeong A1 - Evans, Luke A1 - Fialkowski, Allison A1 - Arnett, Donna K A1 - Ashley-Koch, Allison E A1 - Barnes, Kathleen C A1 - Becker, Diane M A1 - Bis, Joshua C A1 - Blangero, John A1 - Bleecker, Eugene R A1 - Boorgula, Meher Preethi A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Cade, Brian E A1 - Jenkins, Brenda W Campbell A1 - Carson, April P A1 - Chavan, Sameer A1 - Cupples, L Adrienne A1 - Custer, Brian A1 - Damrauer, Scott M A1 - David, Sean P A1 - de Andrade, Mariza A1 - Dinardo, Carla L A1 - Fingerlin, Tasha E A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Garrett, Melanie E A1 - Gharib, Sina A A1 - Glahn, David C A1 - Haessler, Jeffrey A1 - Heckbert, Susan R A1 - Hokanson, John E A1 - Hou, Lifang A1 - Hwang, Shih-Jen A1 - Hyman, Matthew C A1 - Judy, Renae A1 - Justice, Anne E A1 - Kaplan, Robert C A1 - Kardia, Sharon L R A1 - Kelly, Shannon A1 - Kim, Wonji A1 - Kooperberg, Charles A1 - Levy, Daniel A1 - Lloyd-Jones, Donald M A1 - Loos, Ruth J F A1 - Manichaikul, Ani W A1 - Gladwin, Mark T A1 - Martin, Lisa Warsinger A1 - Nouraie, Mehdi A1 - Melander, Olle A1 - Meyers, Deborah A A1 - Montgomery, Courtney G A1 - North, Kari E A1 - Oelsner, Elizabeth C A1 - Palmer, Nicholette D A1 - Payton, Marinelle A1 - Peljto, Anna L A1 - Peyser, Patricia A A1 - Preuss, Michael A1 - Psaty, Bruce M A1 - Qiao, Dandi A1 - Rader, Daniel J A1 - Rafaels, Nicholas A1 - Redline, Susan A1 - Reed, Robert M A1 - Reiner, Alexander P A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Schwartz, David A A1 - Shadyab, Aladdin H A1 - Silverman, Edwin K A1 - Smith, Nicholas L A1 - Smith, J Gustav A1 - Smith, Albert V A1 - Smith, Jennifer A A1 - Tang, Weihong A1 - Taylor, Kent D A1 - Telen, Marilyn J A1 - Vasan, Ramachandran S A1 - Gordeuk, Victor R A1 - Wang, Zhe A1 - Wiggins, Kerri L A1 - Yanek, Lisa R A1 - Yang, Ivana V A1 - Young, Kendra A A1 - Young, Kristin L A1 - Zhang, Yingze A1 - Liu, Dajiang J A1 - Keller, Matthew C A1 - Vrieze, Scott AB -

Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this 'missing heritability'. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74% of it attributable to rare variants with minor allele frequencies between 0.01% and 1%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60% to 100% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.

ER - TY - JOUR T1 - Targeted Genome Sequencing Identifies Multiple Rare Variants in Caveolin-1 Associated with Obstructive Sleep Apnea. JF - Am J Respir Crit Care Med Y1 - 2022 A1 - Liang, Jingjing A1 - Wang, Heming A1 - Cade, Brian E A1 - Kurniansyah, Nuzulul A1 - He, Karen Y A1 - Lee, Jiwon A1 - Sands, Scott A A1 - Brody, Jennifer A1 - Chen, Han A1 - Gottlieb, Daniel J A1 - Evans, Daniel S A1 - Guo, Xiuqing A1 - Gharib, Sina A A1 - Hale, Lauren A1 - Hillman, David R A1 - Lutsey, Pamela L A1 - Mukherjee, Sutapa A1 - Ochs-Balcom, Heather M A1 - Palmer, Lyle J A1 - Purcell, Shaun A1 - Saxena, Richa A1 - Patel, Sanjay R A1 - Stone, Katie L A1 - Tranah, Gregory J A1 - Boerwinkle, Eric A1 - Lin, Xihong A1 - Liu, Yongmei A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Manichaikul, Ani A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Sofer, Tamar A1 - Redline, Susan A1 - Zhu, Xiaofeng AB -

INTRODUCTION: Obstructive sleep apnea (OSA) is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. There is strong clinical and epi-demiologic evidence supporting the importance of genetic factors influencing OSA, but limited data implicating specific genes.

METHODS: Leveraging high depth genomic sequencing data from the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program and imputed genotype data from multiple population-based studies, we performed linkage analysis in the Cleve-land Family Study (CFS) followed by multi-stage gene-based association analyses in independent cohorts to search for rare variants contributing to OSA severity as assessed by the apnea-hypopnea index (AHI) in a total of 7,708 individuals of European ancestry.

RESULTS: Linkage analysis in CFS identified a suggestive linkage peak on chromosome 7q31 (LOD=2.31). Gene-based analysis identified 21 non-coding rare variants in Caveolin-1 (CAV1) associated with lower AHI after accounting for multiple comparisons (p=7.4×10-8). These non-coding variants together significantly contributed to the linkage evidence (p<10-3). Follow-up anal-ysis revealed significant associations between these variants and increased CAV1 expression, and increased CAV1 expression in peripheral monocytes was associated with lower AHI (p=0.024) and higher minimum overnight oxygen saturation (p=0.007).

CONCLUSION: Rare variants in CAV1, a membrane scaffolding protein essential in multiple cellular and metabolic functions, are associated with higher CAV1 gene expression and lower OSA severity, suggesting a novel target for modulating OSA severity.

ER - TY - JOUR T1 - The Value of Rare Genetic Variation in the Prediction of Common Obesity in European Ancestry Populations. JF - Front Endocrinol (Lausanne) Y1 - 2022 A1 - Wang, Zhe A1 - Choi, Shing Wan A1 - Chami, Nathalie A1 - Boerwinkle, Eric A1 - Fornage, Myriam A1 - Redline, Susan A1 - Bis, Joshua C A1 - Brody, Jennifer A A1 - Psaty, Bruce M A1 - Kim, Wonji A1 - McDonald, Merry-Lynn N A1 - Regan, Elizabeth A A1 - Silverman, Edwin K A1 - Liu, Ching-Ti A1 - Vasan, Ramachandran S A1 - Kalyani, Rita R A1 - Mathias, Rasika A A1 - Yanek, Lisa R A1 - Arnett, Donna K A1 - Justice, Anne E A1 - North, Kari E A1 - Kaplan, Robert A1 - Heckbert, Susan R A1 - de Andrade, Mariza A1 - Guo, Xiuqing A1 - Lange, Leslie A A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Ellinor, Patrick T A1 - Lubitz, Steven A A1 - Blangero, John A1 - Shoemaker, M Benjamin A1 - Darbar, Dawood A1 - Gladwin, Mark T A1 - Albert, Christine M A1 - Chasman, Daniel I A1 - Jackson, Rebecca D A1 - Kooperberg, Charles A1 - Reiner, Alexander P A1 - O'Reilly, Paul F A1 - Loos, Ruth J F KW - Gene Frequency KW - Genetic Variation KW - Genome-Wide Association Study KW - Humans KW - Obesity KW - Whole Genome Sequencing AB -

Polygenic risk scores (PRSs) aggregate the effects of genetic variants across the genome and are used to predict risk of complex diseases, such as obesity. Current PRSs only include common variants (minor allele frequency (MAF) ≥1%), whereas the contribution of rare variants in PRSs to predict disease remains unknown. Here, we examine whether augmenting the standard common variant PRS (PRS) with a rare variant PRS (PRS) improves prediction of obesity. We used genome-wide genotyped and imputed data on 451,145 European-ancestry participants of the UK Biobank, as well as whole exome sequencing (WES) data on 184,385 participants. We performed single variant analyses (for both common and rare variants) and gene-based analyses (for rare variants) for association with BMI (kg/m), obesity (BMI ≥ 30 kg/m), and extreme obesity (BMI ≥ 40 kg/m). We built PRSs and PRSs using a range of methods (Clumping+Thresholding [C+T], PRS-CS, lassosum, gene-burden test). We selected the best-performing PRSs and assessed their performance in 36,757 European-ancestry unrelated participants with whole genome sequencing (WGS) data from the Trans-Omics for Precision Medicine (TOPMed) program. The best-performing PRS explained 10.1% of variation in BMI, and 18.3% and 22.5% of the susceptibility to obesity and extreme obesity, respectively, whereas the best-performing PRS explained 1.49%, and 2.97% and 3.68%, respectively. The PRS was associated with an increased risk of obesity and extreme obesity (OR = 1.37 per SD, = 1.7x10; OR = 1.55 per SD, = 3.8x10), which was attenuated, after adjusting for PRS (OR = 1.08 per SD, = 9.8x10; OR= 1.09 per SD, = 0.02). When PRS and PRS are combined, the increase in explained variance attributed to PRS was small (incremental Nagelkerke R = 0.24% for obesity and 0.51% for extreme obesity). Consistently, combining PRS to PRS provided little improvement to the prediction of obesity (PRS AUC = 0.591; PRS AUC = 0.708; PRS AUC = 0.710). In summary, while rare variants show convincing association with BMI, obesity and extreme obesity, the PRS provides limited improvement over PRS in the prediction of obesity risk, based on these large populations.

VL - 13 ER - TY - JOUR T1 - Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program. JF - Commun Biol Y1 - 2022 A1 - DiCorpo, Daniel A1 - Gaynor, Sheila M A1 - Russell, Emily M A1 - Westerman, Kenneth E A1 - Raffield, Laura M A1 - Majarian, Timothy D A1 - Wu, Peitao A1 - Sarnowski, Chloe A1 - Highland, Heather M A1 - Jackson, Anne A1 - Hasbani, Natalie R A1 - de Vries, Paul S A1 - Brody, Jennifer A A1 - Hidalgo, Bertha A1 - Guo, Xiuqing A1 - Perry, James A A1 - O'Connell, Jeffrey R A1 - Lent, Samantha A1 - Montasser, May E A1 - Cade, Brian E A1 - Jain, Deepti A1 - Wang, Heming A1 - D'Oliveira Albanus, Ricardo A1 - Varshney, Arushi A1 - Yanek, Lisa R A1 - Lange, Leslie A1 - Palmer, Nicholette D A1 - Almeida, Marcio A1 - Peralta, Juan M A1 - Aslibekyan, Stella A1 - Baldridge, Abigail S A1 - Bertoni, Alain G A1 - Bielak, Lawrence F A1 - Chen, Chung-Shiuan A1 - Chen, Yii-Der Ida A1 - Choi, Won Jung A1 - Goodarzi, Mark O A1 - Floyd, James S A1 - Irvin, Marguerite R A1 - Kalyani, Rita R A1 - Kelly, Tanika N A1 - Lee, Seonwook A1 - Liu, Ching-Ti A1 - Loesch, Douglas A1 - Manson, JoAnn E A1 - Minster, Ryan L A1 - Naseri, Take A1 - Pankow, James S A1 - Rasmussen-Torvik, Laura J A1 - Reiner, Alexander P A1 - Reupena, Muagututi'a Sefuiva A1 - Selvin, Elizabeth A1 - Smith, Jennifer A A1 - Weeks, Daniel E A1 - Xu, Huichun A1 - Yao, Jie A1 - Zhao, Wei A1 - Parker, Stephen A1 - Alonso, Alvaro A1 - Arnett, Donna K A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Curran, Joanne E A1 - Duggirala, Ravindranath A1 - He, Jiang A1 - Heckbert, Susan R A1 - Kardia, Sharon L R A1 - Kim, Ryan W A1 - Kooperberg, Charles A1 - Liu, Simin A1 - Mathias, Rasika A A1 - McGarvey, Stephen T A1 - Mitchell, Braxton D A1 - Morrison, Alanna C A1 - Peyser, Patricia A A1 - Psaty, Bruce M A1 - Redline, Susan A1 - Shuldiner, Alan R A1 - Taylor, Kent D A1 - Vasan, Ramachandran S A1 - Viaud-Martinez, Karine A A1 - Florez, Jose C A1 - Wilson, James G A1 - Sladek, Robert A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Lin, Xihong A1 - Dupuis, Josée A1 - Meigs, James B A1 - Wessel, Jennifer A1 - Manning, Alisa K KW - Diabetes Mellitus, Type 2 KW - Fasting KW - Glucose KW - Humans KW - Insulin KW - National Heart, Lung, and Blood Institute (U.S.) KW - Nerve Tissue Proteins KW - Polymorphism, Single Nucleotide KW - Precision Medicine KW - Receptors, Immunologic KW - United States AB -

The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants. We extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI's Trans-Omics for Precision Medicine (TOPMed) program. Over 23,000 non-diabetic individuals from five race-ethnicities/populations (African, Asian, European, Hispanic and Samoan) were included. Eight variants were significantly associated with FG or FI across previously identified regions MTNR1B, G6PC2, GCK, GCKR and FOXA2. We additionally characterize suggestive associations with FG or FI near previously identified SLC30A8, TCF7L2, and ADCY5 regions as well as APOB, PTPRT, and ROBO1. Functional annotation resources including the Diabetes Epigenome Atlas were compiled for each signal (chromatin states, annotation principal components, and others) to elucidate variant-to-function hypotheses. We provide a catalog of nucleotide-resolution genomic variation spanning intergenic and intronic regions creating a foundation for future sequencing-based investigations of glycemic traits.

VL - 5 IS - 1 ER - TY - JOUR T1 - Whole-Exome Sequencing Study Identifies Four Novel Gene Loci Associated with Diabetic Kidney Disease. JF - Hum Mol Genet Y1 - 2022 A1 - Pan, Yang A1 - Sun, Xiao A1 - Mi, Xuenan A1 - Huang, Zhijie A1 - Hsu, Yenchih A1 - Hixson, James E A1 - Munzy, Donna A1 - Metcalf, Ginger A1 - Franceschini, Nora A1 - Tin, Adrienne A1 - Köttgen, Anna A1 - Francis, Michael A1 - Brody, Jennifer A A1 - Kestenbaum, Bryan A1 - Sitlani, Colleen M A1 - Mychaleckyj, Josyf C A1 - Kramer, Holly A1 - Lange, Leslie A A1 - Guo, Xiuqing A1 - Hwang, Shih-Jen A1 - Irvin, Marguerite R A1 - Smith, Jennifer A A1 - Yanek, Lisa R A1 - Vaidya, Dhananjay A1 - Chen, Yii-Der Ida A1 - Fornage, Myriam A1 - Lloyd-Jones, Donald M A1 - Hou, Lifang A1 - Mathias, Rasika A A1 - Mitchell, Braxton D A1 - Peyser, Patricia A A1 - Kardia, Sharon L R A1 - Arnett, Donna K A1 - Correa, Adolfo A1 - Raffield, Laura M A1 - Vasan, Ramachandran S A1 - Cupple, L Adrienne A1 - Levy, Daniel A1 - Kaplan, Robert C A1 - North, Kari E A1 - Rotter, Jerome I A1 - Kooperberg, Charles A1 - Reiner, Alexander P A1 - Psaty, Bruce M A1 - Tracy, Russell P A1 - Gibbs, Richard A A1 - Morrison, Alanna C A1 - Feldman, Harold A1 - Boerwinkle, Eric A1 - He, Jiang A1 - Kelly, Tanika N AB -

Diabetic kidney disease (DKD) is recognized as an important public health challenge. However, its genomic mechanisms are poorly understood. To identify rare variants for DKD, we conducted a whole-exome sequencing (WES) study leveraging large cohorts well-phenotyped for chronic kidney disease (CKD) and diabetes. Our two-stage whole-exome sequencing study included 4372 European and African ancestry participants from the Chronic Renal Insufficiency Cohort (CRIC) and Atherosclerosis Risk in Communities (ARIC) studies (stage-1) and 11 487 multi-ancestry Trans-Omics for Precision Medicine (TOPMed) participants (stage-2). Generalized linear mixed models, which accounted for genetic relatedness and adjusted for age, sex, and ancestry, were used to test associations between single variants and DKD. Gene-based aggregate rare variant analyses were conducted using an optimized sequence kernel association test (SKAT-O) implemented within our mixed model framework. We identified four novel exome-wide significant DKD-related loci through initiating diabetes. In single variant analyses, participants carrying a rare, in-frame insertion in the DIS3L2 gene (rs141560952) exhibited a 193-fold increased odds (95% confidence interval: 33.6, 1105) of DKD compared with non-carriers (P = 3.59 × 10-9). Likewise, each copy of a low-frequency KRT6B splice-site variant (rs425827) conferred a 5.31-fold higher odds (95% confidence interval: 3.06, 9.21) of DKD (P = 2.72 × 10-9). Aggregate gene-based analyses further identified ERAP2 (P = 4.03 × 10-8) and NPEPPS (P = 1.51 × 10-7), which are both expressed in the kidney and implicated in renin-angiotensin-aldosterone system modulated immune response. In the largest WES study of DKD, we identified novel rare variant loci attaining exome-wide significance. These findings provide new insights into the molecular mechanisms underlying DKD.

ER - TY - JOUR T1 - Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis. JF - Nature Y1 - 2023 A1 - Weinstock, Joshua S A1 - Gopakumar, Jayakrishnan A1 - Burugula, Bala Bharathi A1 - Uddin, Md Mesbah A1 - Jahn, Nikolaus A1 - Belk, Julia A A1 - Bouzid, Hind A1 - Daniel, Bence A1 - Miao, Zhuang A1 - Ly, Nghi A1 - Mack, Taralynn M A1 - Luna, Sofia E A1 - Prothro, Katherine P A1 - Mitchell, Shaneice R A1 - Laurie, Cecelia A A1 - Broome, Jai G A1 - Taylor, Kent D A1 - Guo, Xiuqing A1 - Sinner, Moritz F A1 - von Falkenhausen, Aenne S A1 - Kääb, Stefan A1 - Shuldiner, Alan R A1 - O'Connell, Jeffrey R A1 - Lewis, Joshua P A1 - Boerwinkle, Eric A1 - Barnes, Kathleen C A1 - Chami, Nathalie A1 - Kenny, Eimear E A1 - Loos, Ruth J F A1 - Fornage, Myriam A1 - Hou, Lifang A1 - Lloyd-Jones, Donald M A1 - Redline, Susan A1 - Cade, Brian E A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Brody, Jennifer A A1 - Silverman, Edwin K A1 - Yun, Jeong H A1 - Qiao, Dandi A1 - Palmer, Nicholette D A1 - Freedman, Barry I A1 - Bowden, Donald W A1 - Cho, Michael H A1 - DeMeo, Dawn L A1 - Vasan, Ramachandran S A1 - Yanek, Lisa R A1 - Becker, Lewis C A1 - Kardia, Sharon L R A1 - Peyser, Patricia A A1 - He, Jiang A1 - Rienstra, Michiel A1 - van der Harst, Pim A1 - Kaplan, Robert A1 - Heckbert, Susan R A1 - Smith, Nicholas L A1 - Wiggins, Kerri L A1 - Arnett, Donna K A1 - Irvin, Marguerite R A1 - Tiwari, Hemant A1 - Cutler, Michael J A1 - Knight, Stacey A1 - Muhlestein, J Brent A1 - Correa, Adolfo A1 - Raffield, Laura M A1 - Gao, Yan A1 - de Andrade, Mariza A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Tracy, Russell P A1 - Konkle, Barbara A A1 - Johnsen, Jill M A1 - Wheeler, Marsha M A1 - Smith, J Gustav A1 - Melander, Olle A1 - Nilsson, Peter M A1 - Custer, Brian S A1 - Duggirala, Ravindranath A1 - Curran, Joanne E A1 - Blangero, John A1 - McGarvey, Stephen A1 - Williams, L Keoki A1 - Xiao, Shujie A1 - Yang, Mao A1 - Gu, C Charles A1 - Chen, Yii-Der Ida A1 - Lee, Wen-Jane A1 - Marcus, Gregory M A1 - Kane, John P A1 - Pullinger, Clive R A1 - Shoemaker, M Benjamin A1 - Darbar, Dawood A1 - Roden, Dan M A1 - Albert, Christine A1 - Kooperberg, Charles A1 - Zhou, Ying A1 - Manson, JoAnn E A1 - Desai, Pinkal A1 - Johnson, Andrew D A1 - Mathias, Rasika A A1 - Blackwell, Thomas W A1 - Abecasis, Goncalo R A1 - Smith, Albert V A1 - Kang, Hyun M A1 - Satpathy, Ansuman T A1 - Natarajan, Pradeep A1 - Kitzman, Jacob O A1 - Whitsel, Eric A A1 - Reiner, Alexander P A1 - Bick, Alexander G A1 - Jaiswal, Siddhartha KW - Alleles KW - Animals KW - Clonal Hematopoiesis KW - Genome-Wide Association Study KW - Hematopoiesis KW - Hematopoietic Stem Cells KW - Humans KW - Mice KW - Mutation KW - Promoter Regions, Genetic AB -

Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis. These lesions are precursors for blood cancers, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but this effect was not seen in clones with driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation.

VL - 616 IS - 7958 ER - TY - JOUR T1 - Association Between Whole Blood-Derived Mitochondrial DNA Copy Number, Low-Density Lipoprotein Cholesterol, and Cardiovascular Disease Risk. JF - J Am Heart Assoc Y1 - 2023 A1 - Liu, Xue A1 - Sun, Xianbang A1 - Zhang, Yuankai A1 - Jiang, Wenqing A1 - Lai, Meng A1 - Wiggins, Kerri L A1 - Raffield, Laura M A1 - Bielak, Lawrence F A1 - Zhao, Wei A1 - Pitsillides, Achilleas A1 - Haessler, Jeffrey A1 - Zheng, Yinan A1 - Blackwell, Thomas W A1 - Yao, Jie A1 - Guo, Xiuqing A1 - Qian, Yong A1 - Thyagarajan, Bharat A1 - Pankratz, Nathan A1 - Rich, Stephen S A1 - Taylor, Kent D A1 - Peyser, Patricia A A1 - Heckbert, Susan R A1 - Seshadri, Sudha A1 - Boerwinkle, Eric A1 - Grove, Megan L A1 - Larson, Nicholas B A1 - Smith, Jennifer A A1 - Vasan, Ramachandran S A1 - Fitzpatrick, Annette L A1 - Fornage, Myriam A1 - Ding, Jun A1 - Carson, April P A1 - Abecasis, Goncalo A1 - Dupuis, Josée A1 - Reiner, Alexander A1 - Kooperberg, Charles A1 - Hou, Lifang A1 - Psaty, Bruce M A1 - Wilson, James G A1 - Levy, Daniel A1 - Rotter, Jerome I A1 - Bis, Joshua C A1 - Satizabal, Claudia L A1 - Arking, Dan E A1 - Liu, Chunyu AB -

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross-sectional and prospective association analyses of blood-derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole-genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). <0.01 was used for significance. We validated most of the previously reported associations between mtDNA CN and cardiovascular disease outcomes. For example, 1-SD unit lower level of mtDNA CN was associated with 1.08 (95% CI, 1.04-1.12; <0.001) times the hazard for developing incident CHD, adjusting for covariates. Mendelian randomization analyses showed no causal effect from a lower level of mtDNA CN to a higher CHD risk (β=0.091; =0.11) or in the reverse direction (β=-0.012; =0.076). Additional bidirectional Mendelian randomization analyses revealed that low-density lipoprotein cholesterol had a causal effect on mtDNA CN (β=-0.084; <0.001), but the reverse direction was not significant (=0.059). No causal associations were observed between mtDNA CN and obesity, diabetes, and hypertension, in either direction. Multivariable Mendelian randomization analyses showed no causal effect of CHD on mtDNA CN, controlling for low-density lipoprotein cholesterol level (=0.52), whereas there was a strong direct causal effect of higher low-density lipoprotein cholesterol on lower mtDNA CN, adjusting for CHD status (β=-0.092; <0.001). Conclusions Our findings indicate that high low-density lipoprotein cholesterol may underlie the complex relationships between mtDNA CN and vascular atherosclerosis.

ER - TY - JOUR T1 - Association of Rare Protein-Truncating DNA Variants in APOB or PCSK9 With Low-density Lipoprotein Cholesterol Level and Risk of Coronary Heart Disease. JF - JAMA Cardiol Y1 - 2023 A1 - Dron, Jacqueline S A1 - Patel, Aniruddh P A1 - Zhang, Yiyi A1 - Jurgens, Sean J A1 - Maamari, Dimitri J A1 - Wang, Minxian A1 - Boerwinkle, Eric A1 - Morrison, Alanna C A1 - de Vries, Paul S A1 - Fornage, Myriam A1 - Hou, Lifang A1 - Lloyd-Jones, Donald M A1 - Psaty, Bruce M A1 - Tracy, Russell P A1 - Bis, Joshua C A1 - Vasan, Ramachandran S A1 - Levy, Daniel A1 - Heard-Costa, Nancy A1 - Rich, Stephen S A1 - Guo, Xiuqing A1 - Taylor, Kent D A1 - Gibbs, Richard A A1 - Rotter, Jerome I A1 - Willer, Cristen J A1 - Oelsner, Elizabeth C A1 - Moran, Andrew E A1 - Peloso, Gina M A1 - Natarajan, Pradeep A1 - Khera, Amit V AB -

IMPORTANCE: Protein-truncating variants (PTVs) in apolipoprotein B (APOB) and proprotein convertase subtilisin/kexin type 9 (PCSK9) are associated with significantly lower low-density lipoprotein (LDL) cholesterol concentrations. The association of these PTVs with coronary heart disease (CHD) warrants further characterization in large, multiracial prospective cohort studies.

OBJECTIVE: To evaluate the association of PTVs in APOB and PCSK9 with LDL cholesterol concentrations and CHD risk.

DESIGN, SETTING, AND PARTICIPANTS: This studied included participants from 5 National Heart, Lung, and Blood Institute (NHLBI) studies and the UK Biobank. NHLBI study participants aged 5 to 84 years were recruited between 1971 and 2002 across the US and underwent whole-genome sequencing. UK Biobank participants aged 40 to 69 years were recruited between 2006 and 2010 in the UK and underwent whole-exome sequencing. Data were analyzed from June 2021 to October 2022.

EXPOSURES: PTVs in APOB and PCSK9.

MAIN OUTCOMES AND MEASURES: Estimated untreated LDL cholesterol levels and CHD.

RESULTS: Among 19 073 NHLBI participants (10 598 [55.6%] female; mean [SD] age, 52 [17] years), 139 (0.7%) carried an APOB or PCSK9 PTV, which was associated with 49 mg/dL (95% CI, 43-56) lower estimated untreated LDL cholesterol level. Over a median (IQR) follow-up of 21.5 (13.9-29.4) years, incident CHD was observed in 12 of 139 carriers (8.6%) vs 3029 of 18 934 noncarriers (16.0%), corresponding to an adjusted hazard ratio of 0.51 (95% CI, 0.28-0.89; P = .02). Among 190 464 UK Biobank participants (104 831 [55.0%] female; mean [SD] age, 57 [8] years), 662 (0.4%) carried a PTV, which was associated with 45 mg/dL (95% CI, 42-47) lower estimated untreated LDL cholesterol level. Estimated CHD risk by age 75 years was 3.7% (95% CI, 2.0-5.3) in carriers vs 7.0% (95% CI, 6.9-7.2) in noncarriers, corresponding to an adjusted hazard ratio of 0.51 (95% CI, 0.32-0.81; P = .004).

CONCLUSIONS AND RELEVANCE: Among 209 537 individuals in this study, 0.4% carried an APOB or PCSK9 PTV that was associated with less exposure to LDL cholesterol and a 49% lower risk of CHD.

ER - TY - JOUR T1 - Association of Severe Hypercholesterolemia and Familial Hypercholesterolemia Genotype With Risk of Coronary Heart Disease. JF - Circulation Y1 - 2023 A1 - Zhang, Yiyi A1 - Dron, Jacqueline S A1 - Bellows, Brandon K A1 - Khera, Amit V A1 - Liu, Junxiu A1 - Balte, Pallavi P A1 - Oelsner, Elizabeth C A1 - Amr, Sami Samir A1 - Lebo, Matthew S A1 - Nagy, Anna A1 - Peloso, Gina M A1 - Natarajan, Pradeep A1 - Rotter, Jerome I A1 - Willer, Cristen A1 - Boerwinkle, Eric A1 - Ballantyne, Christie M A1 - Lutsey, Pamela L A1 - Fornage, Myriam A1 - Lloyd-Jones, Donald M A1 - Hou, Lifang A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Floyd, James S A1 - Vasan, Ramachandran S A1 - Heard-Costa, Nancy L A1 - Carson, April P A1 - Hall, Michael E A1 - Rich, Stephen S A1 - Guo, Xiuqing A1 - Kazi, Dhruv S A1 - de Ferranti, Sarah D A1 - Moran, Andrew E KW - Coronary Disease KW - Genotype KW - Humans KW - Hypercholesterolemia KW - Hyperlipoproteinemia Type II VL - 147 IS - 20 ER - TY - JOUR T1 - Carriers of rare damaging genetic variants are at lower risk of atherosclerotic disease. JF - medRxiv Y1 - 2023 A1 - Georgakis, Marios K A1 - Malik, Rainer A1 - Hasbani, Natalie R A1 - Shakt, Gabrielle A1 - Morrison, Alanna C A1 - Tsao, Noah L A1 - Judy, Renae A1 - Mitchell, Braxton D A1 - Xu, Huichun A1 - Montasser, May E A1 - Do, Ron A1 - Kenny, Eimear E A1 - Loos, Ruth J F A1 - Terry, James G A1 - Carr, John Jeffrey A1 - Bis, Joshua C A1 - Psaty, Bruce M A1 - Longstreth, W T A1 - Young, Kendra A A1 - Lutz, Sharon M A1 - Cho, Michael H A1 - Broome, Jai A1 - Khan, Alyna T A1 - Wang, Fei Fei A1 - Heard-Costa, Nancy A1 - Seshadri, Sudha A1 - Vasan, Ramachandran S A1 - Palmer, Nicholette D A1 - Freedman, Barry I A1 - Bowden, Donald W A1 - Yanek, Lisa R A1 - Kral, Brian G A1 - Becker, Lewis C A1 - Peyser, Patricia A A1 - Bielak, Lawrence F A1 - Ammous, Farah A1 - Carson, April P A1 - Hall, Michael E A1 - Raffield, Laura M A1 - Rich, Stephen S A1 - Post, Wendy S A1 - Tracy, Russel P A1 - Taylor, Kent D A1 - Guo, Xiuqing A1 - Mahaney, Michael C A1 - Curran, Joanne E A1 - Blangero, John A1 - Clarke, Shoa L A1 - Haessler, Jeffrey W A1 - Hu, Yao A1 - Assimes, Themistocles L A1 - Kooperberg, Charles A1 - Damrauer, Scott M A1 - Rotter, Jerome I A1 - de Vries, Paul S A1 - Dichgans, Martin AB -

BACKGROUND: The CCL2/CCR2 axis governs monocyte trafficking and recruitment to atherosclerotic lesions. Human genetic analyses and population-based studies support an association between circulating CCL2 levels and atherosclerosis. Still, it remains unknown whether pharmacological targeting of CCR2, the main CCL2 receptor, would provide protection against human atherosclerotic disease.

METHODS: In whole-exome sequencing data from 454,775 UK Biobank participants (40-69 years), we identified predicted loss-of-function (LoF) or damaging missense (REVEL score >0.5) variants within the gene. We prioritized variants associated with lower monocyte count (p<0.05) and tested associations with vascular risk factors and risk of atherosclerotic disease over a mean follow-up of 14 years. The results were replicated in a pooled cohort of three independent datasets (TOPMed, deCODE and Penn Medicine BioBank; total n=441,445) and the effect of the most frequent damaging variant was experimentally validated.

RESULTS: A total of 45 predicted LoF or damaging missense variants were identified in the gene, 4 of which were also significantly associated with lower monocyte count, but not with other white blood cell counts. Heterozygous carriers of these variants were at a lower risk of a combined atherosclerosis outcome, showed a lower burden of atherosclerosis across four vascular beds, and were at a lower lifetime risk of coronary artery disease and myocardial infarction. There was no evidence of association with vascular risk factors including LDL-cholesterol, blood pressure, glycemic status, or C-reactive protein. Using a cAMP assay, we found that cells transfected with the most frequent damaging variant (3:46358273:T:A, M249K, 547 carriers, frequency: 0.14%) show a decrease in signaling in response to CCL2. The associations of the M249K variant with myocardial infarction were consistent across cohorts (OR : 0.62 95%CI: 0.39-0.96; OR : 0.64 95%CI: 0.34-1.19; OR : 0.64 95%CI: 0.45-0.90). In a phenome-wide association study, we found no evidence for higher risk of common infections or mortality among carriers of damaging variants.

CONCLUSIONS: Heterozygous carriers of damaging variants have a lower burden of atherosclerosis and lower lifetime risk of myocardial infarction. In conjunction with previous evidence from experimental and epidemiological studies, our findings highlight the translational potential of CCR2-targeting as an atheroprotective approach.

ER - TY - JOUR T1 - Clonal Hematopoiesis of Indeterminate Potential (CHIP) and Incident Type 2 Diabetes Risk. JF - Diabetes Care Y1 - 2023 A1 - Tobias, Deirdre K A1 - Manning, Alisa K A1 - Wessel, Jennifer A1 - Raghavan, Sridharan A1 - Westerman, Kenneth E A1 - Bick, Alexander G A1 - DiCorpo, Daniel A1 - Whitsel, Eric A A1 - Collins, Jason A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Dupuis, Josée A1 - Goodarzi, Mark O A1 - Guo, Xiuqing A1 - Howard, Barbara A1 - Lange, Leslie A A1 - Liu, Simin A1 - Raffield, Laura M A1 - Reiner, Alex P A1 - Rich, Stephen S A1 - Taylor, Kent D A1 - Tinker, Lesley A1 - Wilson, James G A1 - Wu, Peitao A1 - Carson, April P A1 - Vasan, Ramachandran S A1 - Fornage, Myriam A1 - Psaty, Bruce M A1 - Kooperberg, Charles A1 - Rotter, Jerome I A1 - Meigs, James A1 - Manson, JoAnn E AB -

OBJECTIVE: Clonal hematopoiesis of indeterminate potential (CHIP) is an aging-related accumulation of somatic mutations in hematopoietic stem cells, leading to clonal expansion. CHIP presence has been implicated in atherosclerotic coronary heart disease (CHD) and all-cause mortality, but its association with incident type 2 diabetes (T2D) is unknown. We hypothesized that CHIP is associated with elevated risk of T2D.

RESEARCH DESIGN AND METHODS: CHIP was derived from whole-genome sequencing of blood DNA in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) prospective cohorts. We performed analysis for 17,637 participants from six cohorts, without prior T2D, cardiovascular disease, or cancer. We evaluated baseline CHIP versus no CHIP prevalence with incident T2D, including associations with DNMT3A, TET2, ASXL1, JAK2, and TP53 variants. We estimated multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) with adjustment for age, sex, BMI, smoking, alcohol, education, self-reported race/ethnicity, and combined cohorts' estimates via fixed-effects meta-analysis.

RESULTS: Mean (SD) age was 63.4 (11.5) years, 76% were female, and CHIP prevalence was 6.0% (n = 1,055) at baseline. T2D was diagnosed in n = 2,467 over mean follow-up of 9.8 years. Participants with CHIP had 23% (CI = 1.04, 1.45) higher risk of T2D than those with no CHIP. Specifically, higher risk was for TET2 (HR 1.48; CI = 1.05, 2.08) and ASXL1 (HR 1.76; CI = 1.03, 2.99) mutations; DNMT3A was nonsignificant (HR 1.15; CI = 0.93, 1.43). Statistical power was limited for JAK2 and TP53 analyses.

CONCLUSIONS: CHIP was associated with higher incidence of T2D. CHIP mutations located on genes implicated in CHD and mortality were also related to T2D, suggesting shared aging-related pathology.

ER - TY - JOUR T1 - Genetic control of mRNA splicing as a potential mechanism for incomplete penetrance of rare coding variants. JF - bioRxiv Y1 - 2023 A1 - Einson, Jonah A1 - Glinos, Dafni A1 - Boerwinkle, Eric A1 - Castaldi, Peter A1 - Darbar, Dawood A1 - de Andrade, Mariza A1 - Ellinor, Patrick A1 - Fornage, Myriam A1 - Gabriel, Stacey A1 - Germer, Soren A1 - Gibbs, Richard A1 - Hersh, Craig P A1 - Johnsen, Jill A1 - Kaplan, Robert A1 - Konkle, Barbara A A1 - Kooperberg, Charles A1 - Nassir, Rami A1 - Loos, Ruth J F A1 - Meyers, Deborah A A1 - Mitchell, Braxton D A1 - Psaty, Bruce A1 - Vasan, Ramachandran S A1 - Rich, Stephen S A1 - Rienstra, Michael A1 - Rotter, Jerome I A1 - Saferali, Aabida A1 - Shoemaker, M Benjamin A1 - Silverman, Edwin A1 - Smith, Albert Vernon A1 - Mohammadi, Pejman A1 - Castel, Stephane E A1 - Iossifov, Ivan A1 - Lappalainen, Tuuli AB -

Exonic variants present some of the strongest links between genotype and phenotype. However, these variants can have significant inter-individual pathogenicity differences, known as variable penetrance. In this study, we propose a model where genetically controlled mRNA splicing modulates the pathogenicity of exonic variants. By first cataloging exonic inclusion from RNA-seq data in GTEx v8, we find that pathogenic alleles are depleted on highly included exons. Using a large-scale phased WGS data from the TOPMed consortium, we observe that this effect may be driven by common splice-regulatory genetic variants, and that natural selection acts on haplotype configurations that reduce the transcript inclusion of putatively pathogenic variants, especially when limiting to haploinsufficient genes. Finally, we test if this effect may be relevant for autism risk using families from the Simons Simplex Collection, but find that splicing of pathogenic alleles has a penetrance reducing effect here as well. Overall, our results indicate that common splice-regulatory variants may play a role in reducing the damaging effects of rare exonic variants.

ER - TY - JOUR T1 - The genetic determinants of recurrent somatic mutations in 43,693 blood genomes. JF - Sci Adv Y1 - 2023 A1 - Weinstock, Joshua S A1 - Laurie, Cecelia A A1 - Broome, Jai G A1 - Taylor, Kent D A1 - Guo, Xiuqing A1 - Shuldiner, Alan R A1 - O'Connell, Jeffrey R A1 - Lewis, Joshua P A1 - Boerwinkle, Eric A1 - Barnes, Kathleen C A1 - Chami, Nathalie A1 - Kenny, Eimear E A1 - Loos, Ruth J F A1 - Fornage, Myriam A1 - Redline, Susan A1 - Cade, Brian E A1 - Gilliland, Frank D A1 - Chen, Zhanghua A1 - Gauderman, W James A1 - Kumar, Rajesh A1 - Grammer, Leslie A1 - Schleimer, Robert P A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Brody, Jennifer A A1 - Silverman, Edwin K A1 - Yun, Jeong H A1 - Qiao, Dandi A1 - Weiss, Scott T A1 - Lasky-Su, Jessica A1 - DeMeo, Dawn L A1 - Palmer, Nicholette D A1 - Freedman, Barry I A1 - Bowden, Donald W A1 - Cho, Michael H A1 - Vasan, Ramachandran S A1 - Johnson, Andrew D A1 - Yanek, Lisa R A1 - Becker, Lewis C A1 - Kardia, Sharon A1 - He, Jiang A1 - Kaplan, Robert A1 - Heckbert, Susan R A1 - Smith, Nicholas L A1 - Wiggins, Kerri L A1 - Arnett, Donna K A1 - Irvin, Marguerite R A1 - Tiwari, Hemant A1 - Correa, Adolfo A1 - Raffield, Laura M A1 - Gao, Yan A1 - de Andrade, Mariza A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Manichaikul, Ani W A1 - Konkle, Barbara A A1 - Johnsen, Jill M A1 - Wheeler, Marsha M A1 - Custer, Brian S A1 - Duggirala, Ravindranath A1 - Curran, Joanne E A1 - Blangero, John A1 - Gui, Hongsheng A1 - Xiao, Shujie A1 - Williams, L Keoki A1 - Meyers, Deborah A A1 - Li, Xingnan A1 - Ortega, Victor A1 - McGarvey, Stephen A1 - Gu, C Charles A1 - Chen, Yii-Der Ida A1 - Lee, Wen-Jane A1 - Shoemaker, M Benjamin A1 - Darbar, Dawood A1 - Roden, Dan A1 - Albert, Christine A1 - Kooperberg, Charles A1 - Desai, Pinkal A1 - Blackwell, Thomas W A1 - Abecasis, Goncalo R A1 - Smith, Albert V A1 - Kang, Hyun M A1 - Mathias, Rasika A1 - Natarajan, Pradeep A1 - Jaiswal, Siddhartha A1 - Reiner, Alexander P A1 - Bick, Alexander G KW - Germ-Line Mutation KW - Hematopoiesis KW - Humans KW - Middle Aged KW - Mutation KW - Mutation, Missense KW - Phenotype AB -

Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.

VL - 9 IS - 17 ER - TY - JOUR T1 - Mosaic chromosomal alterations in blood across ancestries using whole-genome sequencing. JF - Nat Genet Y1 - 2023 A1 - Jakubek, Yasminka A A1 - Zhou, Ying A1 - Stilp, Adrienne A1 - Bacon, Jason A1 - Wong, Justin W A1 - Ozcan, Zuhal A1 - Arnett, Donna A1 - Barnes, Kathleen A1 - Bis, Joshua C A1 - Boerwinkle, Eric A1 - Brody, Jennifer A A1 - Carson, April P A1 - Chasman, Daniel I A1 - Chen, Jiawen A1 - Cho, Michael A1 - Conomos, Matthew P A1 - Cox, Nancy A1 - Doyle, Margaret F A1 - Fornage, Myriam A1 - Guo, Xiuqing A1 - Kardia, Sharon L R A1 - Lewis, Joshua P A1 - Loos, Ruth J F A1 - Ma, Xiaolong A1 - Machiela, Mitchell J A1 - Mack, Taralynn M A1 - Mathias, Rasika A A1 - Mitchell, Braxton D A1 - Mychaleckyj, Josyf C A1 - North, Kari A1 - Pankratz, Nathan A1 - Peyser, Patricia A A1 - Preuss, Michael H A1 - Psaty, Bruce A1 - Raffield, Laura M A1 - Vasan, Ramachandran S A1 - Redline, Susan A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Silverman, Edwin K A1 - Smith, Jennifer A A1 - Smith, Aaron P A1 - Taub, Margaret A1 - Taylor, Kent D A1 - Yun, Jeong A1 - Li, Yun A1 - Desai, Pinkal A1 - Bick, Alexander G A1 - Reiner, Alexander P A1 - Scheet, Paul A1 - Auer, Paul L KW - Black People KW - Genome, Human KW - Genome-Wide Association Study KW - Hispanic or Latino KW - Humans KW - Mosaicism KW - Precision Medicine AB -

Megabase-scale mosaic chromosomal alterations (mCAs) in blood are prognostic markers for a host of human diseases. Here, to gain a better understanding of mCA rates in genetically diverse populations, we analyzed whole-genome sequencing data from 67,390 individuals from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program. We observed higher sensitivity with whole-genome sequencing data, compared with array-based data, in uncovering mCAs at low mutant cell fractions and found that individuals of European ancestry have the highest rates of autosomal mCAs and the lowest rates of chromosome X mCAs, compared with individuals of African or Hispanic ancestry. Although further studies in diverse populations will be needed to replicate our findings, we report three loci associated with loss of chromosome X, associations between autosomal mCAs and rare variants in DCPS, ADM17, PPP1R16B and TET2 and ancestry-specific variants in ATM and MPL with mCAs in cis.

VL - 55 IS - 11 ER - TY - JOUR T1 - Multiple Prior Live Births are Associated with Cardiac Remodeling and Heart Failure Risk in Women. JF - J Card Fail Y1 - 2023 A1 - Sarma, Amy A A1 - Paniagua, Samantha M A1 - Lau, Emily S A1 - Wang, Dongyu A1 - Liu, Elizabeth E A1 - Larson, Martin G A1 - Hamburg, Naomi M A1 - Mitchell, Gary F A1 - Kizer, Jorge A1 - Psaty, Bruce M A1 - Allen, Norrina B A1 - Lely, A Titia A1 - Gansevoort, Ronald T A1 - Rosenberg, Emily A1 - Mukamal, Kenneth A1 - Benjamin, Emelia J A1 - Vasan, Ramachandran S A1 - Cheng, Susan A1 - Levy, Daniel A1 - de Boer, Rudolf A A1 - Gottdiener, John S A1 - Shah, Sanjiv J A1 - Ho, Jennifer E AB -

INTRODUCTION: Greater parity has been associated with cardiovascular disease risk, though effects on cardiac remodeling and heart failure risk remain unclear.

METHODS: We examined the association of number of live births and echocardiographic measures of cardiac structure and function in participants of the Framingham Heart Study (FHS) using multivariable linear regression. We next examined the association of parity with incident heart failure with preserved (HFpEF) or reduced (HFrEF) ejection fraction using a Fine-Gray subdistribution hazards model in a pooled analysis of n=12,635 participants of FHS, the Cardiovascular Health Study, the Multi-Ethnic Study of Atherosclerosis, and Prevention of Renal and Vascular Endstage Disease. Secondary analyses included major CVD, MI, and stroke.

RESULTS: Among n=3931 FHS participants (mean age 48 ± 13 years), higher number of live births was associated with worse LV fractional shortening (multivariable β -1.11 (0.31), p= 0.0005 in ≥ 5 live births vs nulliparous women) and worse cardiac mechanics including global circumferential strain and longitudinal and radial dyssynchrony (p< 0.01 for all comparing ≥ 5 live births vs nulliparity). When examining HF subtypes, women with ≥5 live births were at higher risk of developing future HFrEF compared with nulliparous women (HR 1.93, 95% CI 1.19-3.12, p=0.008); by contrast, a lower risk of HFpEF was observed (HR 0.58, 95% CI 0.37-0.91, p=0.02).

CONCLUSIONS: Greater number of live births are associated with worse cardiac structure and function. While there was no association with overall HF, a higher number of live births was associated with greater risk for incident HFrEF.

ER - TY - JOUR T1 - Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. JF - Nat Genet Y1 - 2023 A1 - Li, Xihao A1 - Quick, Corbin A1 - Zhou, Hufeng A1 - Gaynor, Sheila M A1 - Liu, Yaowu A1 - Chen, Han A1 - Selvaraj, Margaret Sunitha A1 - Sun, Ryan A1 - Dey, Rounak A1 - Arnett, Donna K A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Cade, Brian E A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Curran, Joanne E A1 - de Vries, Paul S A1 - Duggirala, Ravindranath A1 - Freedman, Barry I A1 - Göring, Harald H H A1 - Guo, Xiuqing A1 - Haessler, Jeffrey A1 - Kalyani, Rita R A1 - Kooperberg, Charles A1 - Kral, Brian G A1 - Lange, Leslie A A1 - Manichaikul, Ani A1 - Martin, Lisa W A1 - McGarvey, Stephen T A1 - Mitchell, Braxton D A1 - Montasser, May E A1 - Morrison, Alanna C A1 - Naseri, Take A1 - O'Connell, Jeffrey R A1 - Palmer, Nicholette D A1 - Peyser, Patricia A A1 - Psaty, Bruce M A1 - Raffield, Laura M A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Reupena, Muagututi'a Sefuiva A1 - Rice, Kenneth M A1 - Rich, Stephen S A1 - Sitlani, Colleen M A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Vasan, Ramachandran S A1 - Willer, Cristen J A1 - Wilson, James G A1 - Yanek, Lisa R A1 - Zhao, Wei A1 - Rotter, Jerome I A1 - Natarajan, Pradeep A1 - Peloso, Gina M A1 - Li, Zilin A1 - Lin, Xihong KW - Exome Sequencing KW - Genome-Wide Association Study KW - Lipids KW - Phenotype KW - Whole Genome Sequencing AB -

Meta-analysis of whole genome sequencing/whole exome sequencing (WGS/WES) studies provides an attractive solution to the problem of collecting large sample sizes for discovering rare variants associated with complex phenotypes. Existing rare variant meta-analysis approaches are not scalable to biobank-scale WGS data. Here we present MetaSTAAR, a powerful and resource-efficient rare variant meta-analysis framework for large-scale WGS/WES studies. MetaSTAAR accounts for relatedness and population structure, can analyze both quantitative and dichotomous traits and boosts the power of rare variant tests by incorporating multiple variant functional annotations. Through meta-analysis of four lipid traits in 30,138 ancestrally diverse samples from 14 studies of the Trans Omics for Precision Medicine (TOPMed) Program, we show that MetaSTAAR performs rare variant meta-analysis at scale and produces results comparable to using pooled data. Additionally, we identified several conditionally significant rare variant associations with lipid traits. We further demonstrate that MetaSTAAR is scalable to biobank-scale cohorts through meta-analysis of TOPMed WGS data and UK Biobank WES data of ~200,000 samples.

VL - 55 IS - 1 ER - TY - JOUR T1 - A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies. JF - bioRxiv Y1 - 2023 A1 - Li, Xihao A1 - Chen, Han A1 - Selvaraj, Margaret Sunitha A1 - Van Buren, Eric A1 - Zhou, Hufeng A1 - Wang, Yuxuan A1 - Sun, Ryan A1 - McCaw, Zachary R A1 - Yu, Zhi A1 - Arnett, Donna K A1 - Bis, Joshua C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Cade, Brian E A1 - Carson, April P A1 - Carlson, Jenna C A1 - Chami, Nathalie A1 - Chen, Yii-Der Ida A1 - Curran, Joanne E A1 - de Vries, Paul S A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Freedman, Barry I A1 - Gu, Charles A1 - Heard-Costa, Nancy L A1 - He, Jiang A1 - Hou, Lifang A1 - Hung, Yi-Jen A1 - Irvin, Marguerite R A1 - Kaplan, Robert C A1 - Kardia, Sharon L R A1 - Kelly, Tanika A1 - Konigsberg, Iain A1 - Kooperberg, Charles A1 - Kral, Brian G A1 - Li, Changwei A1 - Loos, Ruth J F A1 - Mahaney, Michael C A1 - Martin, Lisa W A1 - Mathias, Rasika A A1 - Minster, Ryan L A1 - Mitchell, Braxton D A1 - Montasser, May E A1 - Morrison, Alanna C A1 - Palmer, Nicholette D A1 - Peyser, Patricia A A1 - Psaty, Bruce M A1 - Raffield, Laura M A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Rich, Stephen S A1 - Sitlani, Colleen M A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Tiwari, Hemant A1 - Vasan, Ramachandran S A1 - Wang, Zhe A1 - Yanek, Lisa R A1 - Yu, Bing A1 - Rice, Kenneth M A1 - Rotter, Jerome I A1 - Peloso, Gina M A1 - Natarajan, Pradeep A1 - Li, Zilin A1 - Liu, Zhonghua A1 - Lin, Xihong AB -

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally-scalable analytical pipeline for functionally-informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple traits, and further empowers rare variant association analysis by incorporating multiple functional annotations. We applied MultiSTAAR to jointly analyze three lipid traits (low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides) in 61,861 multi-ethnic samples from the Trans-Omics for Precision Medicine (TOPMed) Program. We discovered new associations with lipid traits missed by single-trait analysis, including rare variants within an enhancer of and an intergenic region on chromosome 1.

ER - TY - JOUR T1 - Type 2 Diabetes Modifies the Association of CAD Genomic Risk Variants With Subclinical Atherosclerosis. JF - Circ Genom Precis Med Y1 - 2023 A1 - Hasbani, Natalie R A1 - Westerman, Kenneth E A1 - Heon Kwak, Soo A1 - Chen, Han A1 - Li, Xihao A1 - DiCorpo, Daniel A1 - Wessel, Jennifer A1 - Bis, Joshua C A1 - Sarnowski, Chloe A1 - Wu, Peitao A1 - Bielak, Lawrence F A1 - Guo, Xiuqing A1 - Heard-Costa, Nancy A1 - Kinney, Gregory A1 - Mahaney, Michael C A1 - Montasser, May E A1 - Palmer, Nicholette D A1 - Raffield, Laura M A1 - Terry, James G A1 - Yanek, Lisa R A1 - Bon, Jessica A1 - Bowden, Donald W A1 - Brody, Jennifer A A1 - Duggirala, Ravindranath A1 - Jacobs, David R A1 - Kalyani, Rita R A1 - Lange, Leslie A A1 - Mitchell, Braxton D A1 - Smith, Jennifer A A1 - Taylor, Kent D A1 - Carson, April A1 - Curran, Joanne E A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Gabriel, Stacey A1 - Gibbs, Richard A A1 - Gupta, Namrata A1 - Kardia, Sharon L R A1 - Kral, Brian G A1 - Momin, Zeineen A1 - Newman, Anne B A1 - Post, Wendy S A1 - Viaud-Martinez, Karine A A1 - Young, Kendra A A1 - Becker, Lewis C A1 - Bertoni, Alain A1 - Blangero, John A1 - Carr, John J A1 - Pratte, Katherine A1 - Psaty, Bruce M A1 - Rich, Stephen S A1 - Wu, Joseph C A1 - Malhotra, Rajeev A1 - Peyser, Patricia A A1 - Morrison, Alanna C A1 - Vasan, Ramachandran S A1 - Lin, Xihong A1 - Rotter, Jerome I A1 - Meigs, James B A1 - Manning, Alisa K A1 - de Vries, Paul S AB -

BACKGROUND: Individuals with type 2 diabetes (T2D) have an increased risk of coronary artery disease (CAD), but questions remain about the underlying pathology. Identifying which CAD loci are modified by T2D in the development of subclinical atherosclerosis (coronary artery calcification [CAC], carotid intima-media thickness, or carotid plaque) may improve our understanding of the mechanisms leading to the increased CAD in T2D.

METHODS: We compared the common and rare variant associations of known CAD loci from the literature on CAC, carotid intima-media thickness, and carotid plaque in up to 29 670 participants, including up to 24 157 normoglycemic controls and 5513 T2D cases leveraging whole-genome sequencing data from the Trans-Omics for Precision Medicine program. We included first-order T2D interaction terms in each model to determine whether CAD loci were modified by T2D. The genetic main and interaction effects were assessed using a joint test to determine whether a CAD variant, or gene-based rare variant set, was associated with the respective subclinical atherosclerosis measures and then further determined whether these loci had a significant interaction test.

RESULTS: Using a Bonferroni-corrected significance threshold of <1.6×10, we identified 3 genes (, , and ) associated with CAC and 2 genes ( and ) associated with carotid intima-media thickness and carotid plaque, respectively, through gene-based rare variant set analysis. Both and also had significantly different associations for CAC in T2D cases versus controls. No significant interaction tests were identified through the candidate single-variant analysis.

CONCLUSIONS: These results highlight T2D as an important modifier of rare variant associations in CAD loci with CAC.

ER - TY - JOUR T1 - Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program. JF - Circ Genom Precis Med Y1 - 2023 A1 - Seyerle, Amanda A A1 - Laurie, Cecelia A A1 - Coombes, Brandon J A1 - Jain, Deepti A1 - Conomos, Matthew P A1 - Brody, Jennifer A1 - Chen, Ming-Huei A1 - Gogarten, Stephanie M A1 - Beutel, Kathleen M A1 - Gupta, Namrata A1 - Heckbert, Susan R A1 - Jackson, Rebecca D A1 - Johnson, Andrew D A1 - Ko, Darae A1 - Manson, JoAnn E A1 - McKnight, Barbara A1 - Metcalf, Ginger A A1 - Morrison, Alanna C A1 - Reiner, Alexander P A1 - Sofer, Tamar A1 - Tang, Weihong A1 - Wiggins, Kerri L A1 - Boerwinkle, Eric A1 - Andrade, Mariza de A1 - Gabriel, Stacey B A1 - Gibbs, Richard A A1 - Laurie, Cathy C A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Rice, Ken A1 - Kooperberg, Charles A1 - Pankow, James S A1 - Smith, Nicholas L A1 - Pankratz, Nathan AB -

Background Risk for venous thromboembolism has a strong genetic component. Whole genome sequencingfrom the Trans-Omics for Precision Medicine program allowed us to look for new associations, particularly rare variants missed by standard genome-wide association studies. Methods The 3793 cases and 7834 controls (11.6% of cases were Black, Hispanic/Latino, or Asian American) were analyzed using a single variant approach and an aggregate gene-based approach using our primary filter (included only loss-of-function and missense variants predicted to be deleterious) and our secondary filter (included all missense variants). Results Single variant analyses identified associations at 5 known loci. Aggregate gene-based analyses identified only (odds ratio, 6.2 for carriers of rare variants; =7.4×10) when using our primary filter. Employing our secondary variant filter led to a smaller effect size at (odds ratio, 3.8; =1.6×10), while excluding variants found only in rare isoforms led to a larger one (odds ratio, 7.5). Different filtering strategies improved the signal for 2 other known genes: became significant (minimum =1.8×10 with the secondary filter), while did not (minimum =4.4×10 with minor allele frequency <0.0005). Results were largely the same when restricting the analyses to include only unprovoked cases; however, one novel gene, , became significant (=4.4×10 using all missense variants with minor allele frequency <0.0005). Conclusions Here, we have demonstrated the importance of using multiple variant filtering strategies, as we detected additional genes when filtering variants based on their predicted deleteriousness, frequency, and presence on the most expressed isoforms. Our primary analyses did not identify new candidate loci; thus larger follow-up studies are needed to replicate the novel locus and to identify additional rare variation associated with venous thromboembolism.

ER - TY - JOUR T1 - WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE. JF - medRxiv Y1 - 2023 A1 - Zhang, Xinruo A1 - Brody, Jennifer A A1 - Graff, Mariaelisa A1 - Highland, Heather M A1 - Chami, Nathalie A1 - Xu, Hanfei A1 - Wang, Zhe A1 - Ferrier, Kendra A1 - Chittoor, Geetha A1 - Josyula, Navya S A1 - Li, Xihao A1 - Li, Zilin A1 - Allison, Matthew A A1 - Becker, Diane M A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Boorgula, Meher Preethi A1 - Bowden, Donald W A1 - Broome, Jai G A1 - Buth, Erin J A1 - Carlson, Christopher S A1 - Chang, Kyong-Mi A1 - Chavan, Sameer A1 - Chiu, Yen-Feng A1 - Chuang, Lee-Ming A1 - Conomos, Matthew P A1 - DeMeo, Dawn L A1 - Du, Margaret A1 - Duggirala, Ravindranath A1 - Eng, Celeste A1 - Fohner, Alison E A1 - Freedman, Barry I A1 - Garrett, Melanie E A1 - Guo, Xiuqing A1 - Haiman, Chris A1 - Heavner, Benjamin D A1 - Hidalgo, Bertha A1 - Hixson, James E A1 - Ho, Yuk-Lam A1 - Hobbs, Brian D A1 - Hu, Donglei A1 - Hui, Qin A1 - Hwu, Chii-Min A1 - Jackson, Rebecca D A1 - Jain, Deepti A1 - Kalyani, Rita R A1 - Kardia, Sharon L R A1 - Kelly, Tanika N A1 - Lange, Ethan M A1 - LeNoir, Michael A1 - Li, Changwei A1 - Marchand, Loic Le A1 - McDonald, Merry-Lynn N A1 - McHugh, Caitlin P A1 - Morrison, Alanna C A1 - Naseri, Take A1 - O'Connell, Jeffrey A1 - O'Donnell, Christopher J A1 - Palmer, Nicholette D A1 - Pankow, James S A1 - Perry, James A A1 - Peters, Ulrike A1 - Preuss, Michael H A1 - Rao, D C A1 - Regan, Elizabeth A A1 - Reupena, Sefuiva M A1 - Roden, Dan M A1 - Rodriguez-Santana, Jose A1 - Sitlani, Colleen M A1 - Smith, Jennifer A A1 - Tiwari, Hemant K A1 - Vasan, Ramachandran S A1 - Wang, Zeyuan A1 - Weeks, Daniel E A1 - Wessel, Jennifer A1 - Wiggins, Kerri L A1 - Wilkens, Lynne R A1 - Wilson, Peter W F A1 - Yanek, Lisa R A1 - Yoneda, Zachary T A1 - Zhao, Wei A1 - Zöllner, Sebastian A1 - Arnett, Donna K A1 - Ashley-Koch, Allison E A1 - Barnes, Kathleen C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Burchard, Esteban G A1 - Carson, April P A1 - Chasman, Daniel I A1 - Chen, Yii-Der Ida A1 - Curran, Joanne E A1 - Fornage, Myriam A1 - Gordeuk, Victor R A1 - He, Jiang A1 - Heckbert, Susan R A1 - Hou, Lifang A1 - Irvin, Marguerite R A1 - Kooperberg, Charles A1 - Minster, Ryan L A1 - Mitchell, Braxton D A1 - Nouraie, Mehdi A1 - Psaty, Bruce M A1 - Raffield, Laura M A1 - Reiner, Alexander P A1 - Rich, Stephen S A1 - Rotter, Jerome I A1 - Shoemaker, M Benjamin A1 - Smith, Nicholas L A1 - Taylor, Kent D A1 - Telen, Marilyn J A1 - Weiss, Scott T A1 - Zhang, Yingze A1 - Costa, Nancy Heard- A1 - Sun, Yan V A1 - Lin, Xihong A1 - Cupples, L Adrienne A1 - Lange, Leslie A A1 - Liu, Ching-Ti A1 - Loos, Ruth J F A1 - North, Kari E A1 - Justice, Anne E AB -

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups. We discovered 18 BMI-associated signals ( < 5 × 10 ). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the and loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.

ER - TY - JOUR T1 - Association analysis of mitochondrial DNA heteroplasmic variants: methods and application. JF - medRxiv Y1 - 2024 A1 - Sun, Xianbang A1 - Bulekova, Katia A1 - Yang, Jian A1 - Lai, Meng A1 - Pitsillides, Achilleas N A1 - Liu, Xue A1 - Zhang, Yuankai A1 - Guo, Xiuqing A1 - Yong, Qian A1 - Raffield, Laura M A1 - Rotter, Jerome I A1 - Rich, Stephen S A1 - Abecasis, Goncalo A1 - Carson, April P A1 - Vasan, Ramachandran S A1 - Bis, Joshua C A1 - Psaty, Bruce M A1 - Boerwinkle, Eric A1 - Fitzpatrick, Annette L A1 - Satizabal, Claudia L A1 - Arking, Dan E A1 - Ding, Jun A1 - Levy, Daniel A1 - Liu, Chunyu AB -

We rigorously assessed a comprehensive association testing framework for heteroplasmy, employing both simulated and real-world data. This framework employed a variant allele fraction (VAF) threshold and harnessed multiple gene-based tests for robust identification and association testing of heteroplasmy. Our simulation studies demonstrated that gene-based tests maintained an appropriate type I error rate at α=0.001. Notably, when 5% or more heteroplasmic variants within a target region were linked to an outcome, burden-extension tests (including the adaptive burden test, variable threshold burden test, and z-score weighting burden test) outperformed the sequence kernel association test (SKAT) and the original burden test. Applying this framework, we conducted association analyses on whole-blood derived heteroplasmy in 17,507 individuals of African and European ancestries (31% of African Ancestry, mean age of 62, with 58% women) with whole genome sequencing data. We performed both cohort- and ancestry-specific association analyses, followed by meta-analysis on bothpooled samples and within each ancestry group. Our results suggest that mtDNA-Enco ded genes/regions are likely to exhibit varying rates in somatic aging, with the notably strong associations observed between heteroplasmy in the and genes ( <0.001) and advance aging by the Original Burden test. In contrast, SKAT identified significant associations ( <0.001) between diabetes and the aggregated effects of heteroplasmy in several protein-coding genes. Further research is warranted to validate these findings. In summary, our proposed statistical framework represents a valuable tool for facilitating association testing of heteroplasmy with disease traits in large human populations.

ER - TY - JOUR T1 - Familial Hypercholesterolemia Variant and Cardiovascular Risk in Individuals With Elevated Cholesterol. JF - JAMA Cardiol Y1 - 2024 A1 - Zhang, Yiyi A1 - Dron, Jacqueline S A1 - Bellows, Brandon K A1 - Khera, Amit V A1 - Liu, Junxiu A1 - Balte, Pallavi P A1 - Oelsner, Elizabeth C A1 - Amr, Sami Samir A1 - Lebo, Matthew S A1 - Nagy, Anna A1 - Peloso, Gina M A1 - Natarajan, Pradeep A1 - Rotter, Jerome I A1 - Willer, Cristen A1 - Boerwinkle, Eric A1 - Ballantyne, Christie M A1 - Lutsey, Pamela L A1 - Fornage, Myriam A1 - Lloyd-Jones, Donald M A1 - Hou, Lifang A1 - Psaty, Bruce M A1 - Bis, Joshua C A1 - Floyd, James S A1 - Vasan, Ramachandran S A1 - Heard-Costa, Nancy L A1 - Carson, April P A1 - Hall, Michael E A1 - Rich, Stephen S A1 - Guo, Xiuqing A1 - Kazi, Dhruv S A1 - de Ferranti, Sarah D A1 - Moran, Andrew E AB -

IMPORTANCE: Familial hypercholesterolemia (FH) is a genetic disorder that often results in severely high low-density lipoprotein cholesterol (LDL-C) and high risk of premature coronary heart disease (CHD). However, the impact of FH variants on CHD risk among individuals with moderately elevated LDL-C is not well quantified.

OBJECTIVE: To assess CHD risk associated with FH variants among individuals with moderately (130-189 mg/dL) and severely (≥190 mg/dL) elevated LDL-C and to quantify excess CHD deaths attributable to FH variants in US adults.

DESIGN, SETTING, AND PARTICIPANTS: A total of 21 426 individuals without preexisting CHD from 6 US cohort studies (Atherosclerosis Risk in Communities study, Coronary Artery Risk Development in Young Adults study, Cardiovascular Health Study, Framingham Heart Study Offspring cohort, Jackson Heart Study, and Multi-Ethnic Study of Atherosclerosis) were included, 63 of whom had an FH variant. Data were collected from 1971 to 2018, and the median (IQR) follow-up was 18 (13-28) years. Data were analyzed from March to May 2023.

EXPOSURES: LDL-C, cumulative past LDL-C, FH variant status.

MAIN OUTCOMES AND MEASURES: Cox proportional hazards models estimated associations between FH variants and incident CHD. The Cardiovascular Disease Policy Model projected excess CHD deaths associated with FH variants in US adults.

RESULTS: Of the 21 426 individuals without preexisting CHD (mean [SD] age 52.1 [15.5] years; 12 041 [56.2%] female), an FH variant was found in 22 individuals with moderately elevated LDL-C (0.3%) and in 33 individuals with severely elevated LDL-C (2.5%). The adjusted hazard ratios for incident CHD comparing those with and without FH variants were 2.9 (95% CI, 1.4-6.0) and 2.6 (95% CI, 1.4-4.9) among individuals with moderately and severely elevated LDL-C, respectively. The association between FH variants and CHD was slightly attenuated when further adjusting for baseline LDL-C level, whereas the association was no longer statistically significant after adjusting for cumulative past LDL-C exposure. Among US adults 20 years and older with no history of CHD and LDL-C 130 mg/dL or higher, more than 417 000 carry an FH variant and were projected to experience more than 12 000 excess CHD deaths in those with moderately elevated LDL-C and 15 000 in those with severely elevated LDL-C compared with individuals without an FH variant.

CONCLUSIONS AND RELEVANCE: In this pooled cohort study, the presence of FH variants was associated with a 2-fold higher CHD risk, even when LDL-C was only moderately elevated. The increased CHD risk appeared to be largely explained by the higher cumulative LDL-C exposure in individuals with an FH variant compared to those without. Further research is needed to assess the value of adding genetic testing to traditional phenotypic FH screening.

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