@article {1107, title = {NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium.}, journal = {PLoS Genet}, volume = {5}, year = {2009}, month = {2009 Jun}, pages = {e1000539}, abstract = {

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.

}, keywords = {Aged, Body Mass Index, Cohort Studies, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Obesity, Polymorphism, Single Nucleotide, Waist Circumference}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1000539}, author = {Heard-Costa, Nancy L and Zillikens, M Carola and Monda, Keri L and Johansson, Asa and Harris, Tamara B and Fu, Mao and Haritunians, Talin and Feitosa, Mary F and Aspelund, Thor and Eiriksdottir, Gudny and Garcia, Melissa and Launer, Lenore J and Smith, Albert V and Mitchell, Braxton D and McArdle, Patrick F and Shuldiner, Alan R and Bielinski, Suzette J and Boerwinkle, Eric and Brancati, Fred and Demerath, Ellen W and Pankow, James S and Arnold, Alice M and Chen, Yii-Der Ida and Glazer, Nicole L and McKnight, Barbara and Psaty, Bruce M and Rotter, Jerome I and Amin, Najaf and Campbell, Harry and Gyllensten, Ulf and Pattaro, Cristian and Pramstaller, Peter P and Rudan, Igor and Struchalin, Maksim and Vitart, Veronique and Gao, Xiaoyi and Kraja, Aldi and Province, Michael A and Zhang, Qunyuan and Atwood, Larry D and Dupuis, Jos{\'e}e and Hirschhorn, Joel N and Jaquish, Cashell E and O{\textquoteright}Donnell, Christopher J and Vasan, Ramachandran S and White, Charles C and Aulchenko, Yurii S and Estrada, Karol and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Witteman, Jacqueline C M and Oostra, Ben A and Kaplan, Robert C and Gudnason, Vilmundur and O{\textquoteright}Connell, Jeffrey R and Borecki, Ingrid B and van Duijn, Cornelia M and Cupples, L Adrienne and Fox, Caroline S and North, Kari E} } @article {1197, title = {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.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Jun}, pages = {256-66}, abstract = {

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.

}, keywords = {African Americans, Aged, Aged, 80 and over, Cohort Studies, Endopeptidases, European Continental Ancestry Group, Female, Genome-Wide Association Study, Heart Failure, Humans, Incidence, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk, Ubiquitin-Specific Proteases}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.895763}, author = {Smith, Nicholas L and Felix, Janine F and Morrison, Alanna C and Demissie, Serkalem and Glazer, Nicole L and Loehr, Laura R and Cupples, L Adrienne and Dehghan, Abbas and Lumley, Thomas and Rosamond, Wayne D and Lieb, Wolfgang and Rivadeneira, Fernando and Bis, Joshua C and Folsom, Aaron R and Benjamin, Emelia and Aulchenko, Yurii S and Haritunians, Talin and Couper, David and Murabito, Joanne and Wang, Ying A and Stricker, Bruno H and Gottdiener, John S and Chang, Patricia P and Wang, Thomas J and Rice, Kenneth M and Hofman, Albert and Heckbert, Susan R and Fox, Ervin R and O{\textquoteright}Donnell, Christopher J and Uitterlinden, Andr{\'e} G and Rotter, Jerome I and Willerson, James T and Levy, Daniel and van Duijn, Cornelia M and Psaty, Bruce M and Witteman, Jacqueline C M and Boerwinkle, Eric and Vasan, Ramachandran S} } @article {1187, title = {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.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Jun}, pages = {248-55}, abstract = {

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.

}, keywords = {African Americans, Aged, Aged, 80 and over, Chemokines, Cohort Studies, European Continental Ancestry Group, Female, Genome-Wide Association Study, Genotype, Heart Failure, Humans, Introns, Male, MARVEL Domain-Containing Proteins, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.895995}, author = {Morrison, Alanna C and Felix, Janine F and Cupples, L Adrienne and Glazer, Nicole L and Loehr, Laura R and Dehghan, Abbas and Demissie, Serkalem and Bis, Joshua C and Rosamond, Wayne D and Aulchenko, Yurii S and Wang, Ying A and Haritunians, Talin and Folsom, Aaron R and Rivadeneira, Fernando and Benjamin, Emelia J and Lumley, Thomas and Couper, David and Stricker, Bruno H and O{\textquoteright}Donnell, Christopher J and Rice, Kenneth M and Chang, Patricia P and Hofman, Albert and Levy, Daniel and Rotter, Jerome I and Fox, Ervin R and Uitterlinden, Andr{\'e} G and Wang, Thomas J and Psaty, Bruce M and Willerson, James T and van Duijn, Cornelia M and Boerwinkle, Eric and Witteman, Jacqueline C M and Vasan, Ramachandran S and Smith, Nicholas L} } @article {1222, title = {Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies.}, journal = {Diabetes Care}, volume = {33}, year = {2010}, month = {2010 Dec}, pages = {2684-91}, abstract = {

OBJECTIVE: Whole-grain foods are touted for multiple health benefits, including enhancing insulin sensitivity and reducing type 2 diabetes risk. Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) associated with fasting glucose and insulin concentrations in individuals free of diabetes. We tested the hypothesis that whole-grain food intake and genetic variation interact to influence concentrations of fasting glucose and insulin.

RESEARCH DESIGN AND METHODS: Via meta-analysis of data from 14 cohorts comprising \~{} 48,000 participants of European descent, we studied interactions of whole-grain intake with loci previously associated in GWAS with fasting glucose (16 loci) and/or insulin (2 loci) concentrations. For tests of interaction, we considered a P value <0.0028 (0.05 of 18 tests) as statistically significant.

RESULTS: Greater whole-grain food intake was associated with lower fasting glucose and insulin concentrations independent of demographics, other dietary and lifestyle factors, and BMI (β [95\% CI] per 1-serving-greater whole-grain intake: -0.009 mmol/l glucose [-0.013 to -0.005], P < 0.0001 and -0.011 pmol/l [ln] insulin [-0.015 to -0.007], P = 0.0003). No interactions met our multiple testing-adjusted statistical significance threshold. The strongest SNP interaction with whole-grain intake was rs780094 (GCKR) for fasting insulin (P = 0.006), where greater whole-grain intake was associated with a smaller reduction in fasting insulin concentrations in those with the insulin-raising allele.

CONCLUSIONS: Our results support the favorable association of whole-grain intake with fasting glucose and insulin and suggest a potential interaction between variation in GCKR and whole-grain intake in influencing fasting insulin concentrations.

}, keywords = {Adult, Aged, Blood Glucose, Edible Grain, European Continental Ancestry Group, Fasting, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1935-5548}, doi = {10.2337/dc10-1150}, author = {Nettleton, Jennifer A and McKeown, Nicola M and Kanoni, Stavroula and Lemaitre, Rozenn N and Hivert, Marie-France and Ngwa, Julius and van Rooij, Frank J A and Sonestedt, Emily and Wojczynski, Mary K and Ye, Zheng and Tanaka, Tosh and Garcia, Melissa and Anderson, Jennifer S and Follis, Jack L and Djouss{\'e}, Luc and Mukamal, Kenneth and Papoutsakis, Constantina and Mozaffarian, Dariush and Zillikens, M Carola and Bandinelli, Stefania and Bennett, Amanda J and Borecki, Ingrid B and Feitosa, Mary F and Ferrucci, Luigi and Forouhi, Nita G and Groves, Christopher J and Hallmans, G{\"o}ran and Harris, Tamara and Hofman, Albert and Houston, Denise K and Hu, Frank B and Johansson, Ingegerd and Kritchevsky, Stephen B and Langenberg, Claudia and Launer, Lenore and Liu, Yongmei and Loos, Ruth J and Nalls, Michael and Orho-Melander, Marju and Renstrom, Frida and Rice, Kenneth and Riserus, Ulf and Rolandsson, Olov and Rotter, Jerome I and Saylor, Georgia and Sijbrands, Eric J G and Sjogren, Per and Smith, Albert and Steingr{\'\i}msd{\'o}ttir, Laufey and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Prokopenko, Inga and Pankow, James S and van Duijn, Cornelia M and Florez, Jose C and Witteman, Jacqueline C M and Dupuis, Jos{\'e}e and Dedoussis, George V and Ordovas, Jose M and Ingelsson, Erik and Cupples, L Adrienne and Siscovick, David S and Franks, Paul W and Meigs, James B} } @article {1327, title = {Genetic association for renal traits among participants of African ancestry reveals new loci for renal function.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Sep}, pages = {e1002264}, abstract = {

Chronic kidney disease (CKD) is an increasing global public health concern, particularly among populations of African ancestry. We performed an interrogation of known renal loci, genome-wide association (GWA), and IBC candidate-gene SNP association analyses in African Americans from the CARe Renal Consortium. In up to 8,110 participants, we performed meta-analyses of GWA and IBC array data for estimated glomerular filtration rate (eGFR), CKD (eGFR <60 mL/min/1.73 m(2)), urinary albumin-to-creatinine ratio (UACR), and microalbuminuria (UACR >30 mg/g) and interrogated the 250 kb flanking region around 24 SNPs previously identified in European Ancestry renal GWAS analyses. Findings were replicated in up to 4,358 African Americans. To assess function, individually identified genes were knocked down in zebrafish embryos by morpholino antisense oligonucleotides. Expression of kidney-specific genes was assessed by in situ hybridization, and glomerular filtration was evaluated by dextran clearance. Overall, 23 of 24 previously identified SNPs had direction-consistent associations with eGFR in African Americans, 2 of which achieved nominal significance (UMOD, PIP5K1B). Interrogation of the flanking regions uncovered 24 new index SNPs in African Americans, 12 of which were replicated (UMOD, ANXA9, GCKR, TFDP2, DAB2, VEGFA, ATXN2, GATM, SLC22A2, TMEM60, SLC6A13, and BCAS3). In addition, we identified 3 suggestive loci at DOK6 (p-value = 5.3{\texttimes}10(-7)) and FNDC1 (p-value = 3.0{\texttimes}10(-7)) for UACR, and KCNQ1 with eGFR (p = 3.6{\texttimes}10(-6)). Morpholino knockdown of kcnq1 in the zebrafish resulted in abnormal kidney development and filtration capacity. We identified several SNPs in association with eGFR in African Ancestry individuals, as well as 3 suggestive loci for UACR and eGFR. Functional genetic studies support a role for kcnq1 in glomerular development in zebrafish.

}, keywords = {Adaptor Proteins, Vesicular Transport, Adult, African Continental Ancestry Group, Aged, Animals, Female, Gene Knockdown Techniques, Genetic Association Studies, Genetic Loci, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, KCNQ1 Potassium Channel, Kidney, Kidney Failure, Chronic, Male, Middle Aged, Neoplasm Proteins, Phenotype, Polymorphism, Single Nucleotide, Zebrafish}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002264}, author = {Liu, Ching-Ti and Garnaas, Maija K and Tin, Adrienne and K{\"o}ttgen, Anna and Franceschini, Nora and Peralta, Carmen A and de Boer, Ian H and Lu, Xiaoning and Atkinson, Elizabeth and Ding, Jingzhong and Nalls, Michael and Shriner, Daniel and Coresh, Josef and Kutlar, Abdullah and Bibbins-Domingo, Kirsten and Siscovick, David and Akylbekova, Ermeg and Wyatt, Sharon and Astor, Brad and Mychaleckjy, Josef and Li, Man and Reilly, Muredach P and Townsend, Raymond R and Adeyemo, Adebowale and Zonderman, Alan B and de Andrade, Mariza and Turner, Stephen T and Mosley, Thomas H and Harris, Tamara B and Rotimi, Charles N and Liu, Yongmei and Kardia, Sharon L R and Evans, Michele K and Shlipak, Michael G and Kramer, Holly and Flessner, Michael F and Dreisbach, Albert W and Goessling, Wolfram and Cupples, L Adrienne and Kao, W Linda and Fox, Caroline S} } @article {1305, title = {Genome-wide association study for serum urate concentrations and gout among African Americans identifies genomic risk loci and a novel URAT1 loss-of-function allele.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Oct 15}, pages = {4056-68}, abstract = {

Serum urate concentrations are highly heritable and elevated serum urate is a key risk factor for gout. Genome-wide association studies (GWAS) of serum urate in African American (AA) populations are lacking. We conducted a meta-analysis of GWAS of serum urate levels and gout among 5820 AA and a large candidate gene study among 6890 AA and 21 708 participants of European ancestry (EA) within the Candidate Gene Association Resource Consortium. Findings were tested for replication among 1996 independent AA individuals, and evaluated for their association among 28 283 EA participants of the CHARGE Consortium. Functional studies were conducted using (14)C-urate transport assays in mammalian Chinese hamster ovary cells. In the discovery GWAS of serum urate, three loci achieved genome-wide significance (P< 5.0 {\texttimes} 10(-8)): a novel locus near SGK1/SLC2A12 on chromosome 6 (rs9321453, P= 1.0 {\texttimes} 10(-9)), and two loci previously identified in EA participants, SLC2A9 (P= 3.8 {\texttimes} 10(-32)) and SLC22A12 (P= 2.1 {\texttimes} 10(-10)). A novel rare non-synonymous variant of large effect size in SLC22A12, rs12800450 (minor allele frequency 0.01, G65W), was identified and replicated (beta -1.19 mg/dl, P= 2.7 {\texttimes} 10(-16)). (14)C-urate transport assays showed reduced urate transport for the G65W URAT1 mutant. Finally, in analyses of 11 loci previously associated with serum urate in EA individuals, 10 of 11 lead single-nucleotide polymorphisms showed direction-consistent association with urate among AA. In summary, we identified and replicated one novel locus in association with serum urate levels and experimentally characterize the novel G65W variant in URAT1 as a functional allele. Our data support the importance of multi-ethnic GWAS in the identification of novel risk loci as well as functional variants.

}, keywords = {Adult, African Americans, Aged, Animals, CHO Cells, Cricetinae, European Continental Ancestry Group, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Gout, Humans, Loss of Heterozygosity, Male, Middle Aged, Organic Anion Transporters, Organic Cation Transport Proteins, Polymorphism, Single Nucleotide, Uric Acid, Young Adult}, issn = {1460-2083}, doi = {10.1093/hmg/ddr307}, author = {Tin, Adrienne and Woodward, Owen M and Kao, Wen Hong Linda and Liu, Ching-Ti and Lu, Xiaoning and Nalls, Michael A and Shriner, Daniel and Semmo, Mariam and Akylbekova, Ermeg L and Wyatt, Sharon B and Hwang, Shih-Jen and Yang, Qiong and Zonderman, Alan B and Adeyemo, Adebowale A and Palmer, Cameron and Meng, Yan and Reilly, Muredach and Shlipak, Michael G and Siscovick, David and Evans, Michele K and Rotimi, Charles N and Flessner, Michael F and K{\"o}ttgen, Michael and Cupples, L Adrienne and Fox, Caroline S and K{\"o}ttgen, Anna} } @article {1304, title = {Identification of a sudden cardiac death susceptibility locus at 2q24.2 through genome-wide association in European ancestry individuals.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Jun}, pages = {e1002158}, abstract = {

Sudden cardiac death (SCD) continues to be one of the leading causes of mortality worldwide, with an annual incidence estimated at 250,000-300,000 in the United States and with the vast majority occurring in the setting of coronary disease. We performed a genome-wide association meta-analysis in 1,283 SCD cases and >20,000 control individuals of European ancestry from 5 studies, with follow-up genotyping in up to 3,119 SCD cases and 11,146 controls from 11 European ancestry studies, and identify the BAZ2B locus as associated with SCD (P = 1.8{\texttimes}10(-10)). The risk allele, while ancestral, has a frequency of ~1.4\%, suggesting strong negative selection and increases risk for SCD by 1.92-fold per allele (95\% CI 1.57-2.34). We also tested the role of 49 SNPs previously implicated in modulating electrocardiographic traits (QRS, QT, and RR intervals). Consistent with epidemiological studies showing increased risk of SCD with prolonged QRS/QT intervals, the interval-prolonging alleles are in aggregate associated with increased risk for SCD (P = 0.006).

}, keywords = {Adult, Aged, Alleles, Chromosomes, Human, Pair 2, Death, Sudden, Cardiac, European Continental Ancestry Group, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Myocardial Contraction, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002158}, author = {Arking, Dan E and Junttila, M Juhani and Goyette, Philippe and Huertas-Vazquez, Adriana and Eijgelsheim, Mark and Blom, Marieke T and Newton-Cheh, Christopher and Reinier, Kyndaron and Teodorescu, Carmen and Uy-Evanado, Audrey and Carter-Monroe, Naima and Kaikkonen, Kari S and Kortelainen, Marja-Leena and Boucher, Gabrielle and Lagac{\'e}, Caroline and Moes, Anna and Zhao, XiaoQing and Kolodgie, Frank and Rivadeneira, Fernando and Hofman, Albert and Witteman, Jacqueline C M and Uitterlinden, Andr{\'e} G and Marsman, Roos F and Pazoki, Raha and Bardai, Abdennasser and Koster, Rudolph W and Dehghan, Abbas and Hwang, Shih-Jen and Bhatnagar, Pallav and Post, Wendy and Hilton, Gina and Prineas, Ronald J and Li, Man and K{\"o}ttgen, Anna and Ehret, Georg and Boerwinkle, Eric and Coresh, Josef and Kao, W H Linda and Psaty, Bruce M and Tomaselli, Gordon F and Sotoodehnia, Nona and Siscovick, David S and Burke, Greg L and Marb{\'a}n, Eduardo and Spooner, Peter M and Cupples, L Adrienne and Jui, Jonathan and Gunson, Karen and Kesaniemi, Y Antero and Wilde, Arthur A M and Tardif, Jean-Claude and O{\textquoteright}Donnell, Christopher J and Bezzina, Connie R and Virmani, Renu and Stricker, Bruno H C H and Tan, Hanno L and Albert, Christine M and Chakravarti, Aravinda and Rioux, John D and Huikuri, Heikki V and Chugh, Sumeet S} } @article {1258, title = {Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP {\texttimes} environment regression coefficients.}, journal = {Genet Epidemiol}, volume = {35}, year = {2011}, month = {2011 Jan}, pages = {11-8}, abstract = {

INTRODUCTION: Genetic discoveries are validated through the meta-analysis of genome-wide association scans in large international consortia. Because environmental variables may interact with genetic factors, investigation of differing genetic effects for distinct levels of an environmental exposure in these large consortia may yield additional susceptibility loci undetected by main effects analysis. We describe a method of joint meta-analysis (JMA) of SNP and SNP by Environment (SNP {\texttimes} E) regression coefficients for use in gene-environment interaction studies.

METHODS: In testing SNP {\texttimes} E interactions, one approach uses a two degree of freedom test to identify genetic variants that influence the trait of interest. This approach detects both main and interaction effects between the trait and the SNP. We propose a method to jointly meta-analyze the SNP and SNP {\texttimes} E coefficients using multivariate generalized least squares. This approach provides confidence intervals of the two estimates, a joint significance test for SNP and SNP {\texttimes} E terms, and a test of homogeneity across samples.

RESULTS: We present a simulation study comparing this method to four other methods of meta-analysis and demonstrate that the JMA performs better than the others when both main and interaction effects are present. Additionally, we implemented our methods in a meta-analysis of the association between SNPs from the type 2 diabetes-associated gene PPARG and log-transformed fasting insulin levels and interaction by body mass index in a combined sample of 19,466 individuals from five cohorts.

}, keywords = {Adult, Aged, Body Mass Index, Confidence Intervals, Diabetes Mellitus, Type 2, Environment, Fasting, Female, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Insulin, Least-Squares Analysis, Male, Mathematical Computing, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide, PPAR gamma}, issn = {1098-2272}, doi = {10.1002/gepi.20546}, author = {Manning, Alisa K and LaValley, Michael and Liu, Ching-Ti and Rice, Kenneth and An, Ping and Liu, Yongmei and Miljkovic, Iva and Rasmussen-Torvik, Laura and Harris, Tamara B and Province, Michael A and Borecki, Ingrid B and Florez, Jose C and Meigs, James B and Cupples, L Adrienne and Dupuis, Jos{\'e}e} } @article {1323, title = {Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 11}, pages = {940-7}, abstract = {

Carotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European ancestry from nine large studies in the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. We then sought additional evidence to support our findings among 11,273 individuals using data from seven additional studies. In the combined meta-analysis, we identified three genomic regions associated with common carotid intima media thickness and two different regions associated with the presence of carotid plaque (P < 5 {\texttimes} 10(-8)). The associated SNPs mapped in or near genes related to cellular signaling, lipid metabolism and blood pressure homeostasis, and two of the regions were associated with coronary artery disease (P < 0.006) in the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) consortium. Our findings may provide new insight into pathways leading to subclinical atherosclerosis and subsequent cardiovascular events.

}, keywords = {Adult, Aged, Aging, Atherosclerosis, Carotid Intima-Media Thickness, Cohort Studies, Coronary Artery Disease, European Continental Ancestry Group, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Genotype, Heart, Humans, Middle Aged, Phenotype, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.920}, author = {Bis, Joshua C and Kavousi, Maryam and Franceschini, Nora and Isaacs, Aaron and Abecasis, Goncalo R and Schminke, Ulf and Post, Wendy S and Smith, Albert V and Cupples, L Adrienne and Markus, Hugh S and Schmidt, Reinhold and Huffman, Jennifer E and Lehtim{\"a}ki, Terho and Baumert, Jens and M{\"u}nzel, Thomas and Heckbert, Susan R and Dehghan, Abbas and North, Kari and Oostra, Ben and Bevan, Steve and Stoegerer, Eva-Maria and Hayward, Caroline and Raitakari, Olli and Meisinger, Christa and Schillert, Arne and Sanna, Serena and V{\"o}lzke, Henry and Cheng, Yu-Ching and Thorsson, Bolli and Fox, Caroline S and Rice, Kenneth and Rivadeneira, Fernando and Nambi, Vijay and Halperin, Eran and Petrovic, Katja E and Peltonen, Leena and Wichmann, H Erich and Schnabel, Renate B and D{\"o}rr, Marcus and Parsa, Afshin and Aspelund, Thor and Demissie, Serkalem and Kathiresan, Sekar and Reilly, Muredach P and Taylor, Kent and Uitterlinden, Andre and Couper, David J and Sitzer, Matthias and K{\"a}h{\"o}nen, Mika and Illig, Thomas and Wild, Philipp S and Orr{\`u}, Marco and L{\"u}demann, Jan and Shuldiner, Alan R and Eiriksdottir, Gudny and White, Charles C and Rotter, Jerome I and Hofman, Albert and Seissler, Jochen and Zeller, Tanja and Usala, Gianluca and Ernst, Florian and Launer, Lenore J and D{\textquoteright}Agostino, Ralph B and O{\textquoteright}Leary, Daniel H and Ballantyne, Christie and Thiery, Joachim and Ziegler, Andreas and Lakatta, Edward G and Chilukoti, Ravi Kumar and Harris, Tamara B and Wolf, Philip A and Psaty, Bruce M and Polak, Joseph F and Li, Xia and Rathmann, Wolfgang and Uda, Manuela and Boerwinkle, Eric and Klopp, Norman and Schmidt, Helena and Wilson, James F and Viikari, Jorma and Koenig, Wolfgang and Blankenberg, Stefan and Newman, Anne B and Witteman, Jacqueline and Heiss, Gerardo and Duijn, Cornelia van and Scuteri, Angelo and Homuth, Georg and Mitchell, Braxton D and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J} } @article {1359, title = {Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Feb 01}, pages = {100-12}, abstract = {

BACKGROUND: Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts.

METHODS AND RESULTS: Continuous ABI and PAD (ABI <=0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fixed effects inverse variance weighted meta-analyses. There were a total of 41 692 participants of European ancestry (≈60\% women, mean ABI 1.02 to 1.19), including 3409 participants with PAD and with genome-wide association study data available. In the discovery meta-analysis, rs10757269 on chromosome 9 near CDKN2B had the strongest association with ABI (β=-0.006, P=2.46{\texttimes}10(-8)). We sought replication of the 6 strongest SNP associations in 5 population-based studies and 3 clinical samples (n=16 717). The association for rs10757269 strengthened in the combined discovery and replication analysis (P=2.65{\texttimes}10(-9)). No other SNP associations for ABI or PAD achieved genome-wide significance. However, 2 previously reported candidate genes for PAD and 1 SNP associated with coronary artery disease were associated with ABI: DAB21P (rs13290547, P=3.6{\texttimes}10(-5)), CYBA (rs3794624, P=6.3{\texttimes}10(-5)), and rs1122608 (LDLR, P=0.0026).

CONCLUSIONS: Genome-wide association studies in more than 40 000 individuals identified 1 genome wide significant association on chromosome 9p21 with ABI. Two candidate genes for PAD and 1 SNP for coronary artery disease are associated with ABI.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Alleles, Ankle Brachial Index, Chromosomes, Human, Pair 9, Cohort Studies, Cyclin-Dependent Kinase Inhibitor p15, Female, Genome-Wide Association Study, Genotype, HapMap Project, Humans, Logistic Models, Male, Middle Aged, Peripheral Vascular Diseases, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Sex Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.961292}, author = {Murabito, Joanne M and White, Charles C and Kavousi, Maryam and Sun, Yan V and Feitosa, Mary F and Nambi, Vijay and Lamina, Claudia and Schillert, Arne and Coassin, Stefan and Bis, Joshua C and Broer, Linda and Crawford, Dana C and Franceschini, Nora and Frikke-Schmidt, Ruth and Haun, Margot and Holewijn, Suzanne and Huffman, Jennifer E and Hwang, Shih-Jen and Kiechl, Stefan and Kollerits, Barbara and Montasser, May E and Nolte, Ilja M and Rudock, Megan E and Senft, Andrea and Teumer, Alexander and van der Harst, Pim and Vitart, Veronique and Waite, Lindsay L and Wood, Andrew R and Wassel, Christina L and Absher, Devin M and Allison, Matthew A and Amin, Najaf and Arnold, Alice and Asselbergs, Folkert W and Aulchenko, Yurii and Bandinelli, Stefania and Barbalic, Maja and Boban, Mladen and Brown-Gentry, Kristin and Couper, David J and Criqui, Michael H and Dehghan, Abbas and den Heijer, Martin and Dieplinger, Benjamin and Ding, Jingzhong and D{\"o}rr, Marcus and Espinola-Klein, Christine and Felix, Stephan B and Ferrucci, Luigi and Folsom, Aaron R and Fraedrich, Gustav and Gibson, Quince and Goodloe, Robert and Gunjaca, Grgo and Haltmayer, Meinhard and Heiss, Gerardo and Hofman, Albert and Kieback, Arne and Kiemeney, Lambertus A and Kolcic, Ivana and Kullo, Iftikhar J and Kritchevsky, Stephen B and Lackner, Karl J and Li, Xiaohui and Lieb, Wolfgang and Lohman, Kurt and Meisinger, Christa and Melzer, David and Mohler, Emile R and Mudnic, Ivana and Mueller, Thomas and Navis, Gerjan and Oberhollenzer, Friedrich and Olin, Jeffrey W and O{\textquoteright}Connell, Jeff and O{\textquoteright}Donnell, Christopher J and Palmas, Walter and Penninx, Brenda W and Petersmann, Astrid and Polasek, Ozren and Psaty, Bruce M and Rantner, Barbara and Rice, Ken and Rivadeneira, Fernando and Rotter, Jerome I and Seldenrijk, Adrie and Stadler, Marietta and Summerer, Monika and Tanaka, Toshiko and Tybjaerg-Hansen, Anne and Uitterlinden, Andr{\'e} G and van Gilst, Wiek H and Vermeulen, Sita H and Wild, Sarah H and Wild, Philipp S and Willeit, Johann and Zeller, Tanja and Zemunik, Tatijana and Zgaga, Lina and Assimes, Themistocles L and Blankenberg, Stefan and Boerwinkle, Eric and Campbell, Harry and Cooke, John P and de Graaf, Jacqueline and Herrington, David and Kardia, Sharon L R and Mitchell, Braxton D and Murray, Anna and M{\"u}nzel, Thomas and Newman, Anne B and Oostra, Ben A and Rudan, Igor and Shuldiner, Alan R and Snieder, Harold and van Duijn, Cornelia M and V{\"o}lker, Uwe and Wright, Alan F and Wichmann, H-Erich and Wilson, James F and Witteman, Jacqueline C M and Liu, Yongmei and Hayward, Caroline and Borecki, Ingrid B and Ziegler, Andreas and North, Kari E and Cupples, L Adrienne and Kronenberg, Florian} } @article {5864, title = {Genetic determinants of the ankle-brachial index: a meta-analysis of a cardiovascular candidate gene 50K SNP panel in the candidate gene association resource (CARe) consortium.}, journal = {Atherosclerosis}, volume = {222}, year = {2012}, month = {2012 May}, pages = {138-47}, abstract = {

BACKGROUND: Candidate gene association studies for peripheral artery disease (PAD), including subclinical disease assessed with the ankle-brachial index (ABI), have been limited by the modest number of genes examined. We conducted a two stage meta-analysis of \~{}50,000 SNPs across \~{}2100 candidate genes to identify genetic variants for ABI.

METHODS AND RESULTS: We studied subjects of European ancestry from 8 studies (n=21,547, 55\% women, mean age 44-73 years) and African American ancestry from 5 studies (n=7267, 60\% women, mean age 41-73 years) involved in the candidate gene association resource (CARe) consortium. In each ethnic group, additive genetic models were used (with each additional copy of the minor allele corresponding to the given beta) to test each SNP for association with continuous ABI (excluding ABI>1.40) and PAD (defined as ABI<0.90) using linear or logistic regression with adjustment for known PAD risk factors and population stratification. We then conducted a fixed-effects inverse-variance weighted meta-analyses considering a p<2{\texttimes}10(-6) to denote statistical significance.

RESULTS: In the European ancestry discovery meta-analyses, rs2171209 in SYTL3 (β=-0.007, p=6.02{\texttimes}10(-7)) and rs290481 in TCF7L2 (β=-0.008, p=7.01{\texttimes}10(-7)) were significantly associated with ABI. None of the SNP associations for PAD were significant, though a SNP in CYP2B6 (p=4.99{\texttimes}10(-5)) was among the strongest associations. These 3 genes are linked to key PAD risk factors (lipoprotein(a), type 2 diabetes, and smoking behavior, respectively). We sought replication in 6 population-based and 3 clinical samples (n=15,440) for rs290481 and rs2171209. However, in the replication stage (rs2171209, p=0.75; rs290481, p=0.19) and in the combined discovery and replication analysis the SNP-ABI associations were no longer significant (rs2171209, p=1.14{\texttimes}10(-3); rs290481, p=8.88{\texttimes}10(-5)). In African Americans, none of the SNP associations for ABI or PAD achieved an experiment-wide level of significance.

CONCLUSIONS: Genetic determinants of ABI and PAD remain elusive. Follow-up of these preliminary findings may uncover important biology given the known gene-risk factor associations. New and more powerful approaches to PAD gene discovery are warranted.

}, keywords = {Adult, African Americans, Aged, Ankle Brachial Index, Aryl Hydrocarbon Hydroxylases, Cytochrome P-450 CYP2B6, European Continental Ancestry Group, Female, Humans, Male, Middle Aged, Oxidoreductases, N-Demethylating, Peripheral Arterial Disease, Polymorphism, Single Nucleotide, Risk Factors, Transcription Factor 7-Like 2 Protein}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2012.01.039}, author = {Wassel, Christina L and Lamina, Claudia and Nambi, Vijay and Coassin, Stefan and Mukamal, Kenneth J and Ganesh, Santhi K and Jacobs, David R and Franceschini, Nora and Papanicolaou, George J and Gibson, Quince and Yanek, Lisa R and van der Harst, Pim and Ferguson, Jane F and Crawford, Dana C and Waite, Lindsay L and Allison, Matthew A and Criqui, Michael H and McDermott, Mary M and Mehra, Reena and Cupples, L Adrienne and Hwang, Shih-Jen and Redline, Susan and Kaplan, Robert C and Heiss, Gerardo and Rotter, Jerome I and Boerwinkle, Eric and Taylor, Herman A and Eraso, Luis H and Haun, Margot and Li, Mingyao and Meisinger, Christa and O{\textquoteright}Connell, Jeffrey R and Shuldiner, Alan R and Tybj{\ae}rg-Hansen, Anne and Frikke-Schmidt, Ruth and Kollerits, Barbara and Rantner, Barbara and Dieplinger, Benjamin and Stadler, Marietta and Mueller, Thomas and Haltmayer, Meinhard and Klein-Weigel, Peter and Summerer, Monika and Wichmann, H-Erich and Asselbergs, Folkert W and Navis, Gerjan and Mateo Leach, Irene and Brown-Gentry, Kristin and Goodloe, Robert and Assimes, Themistocles L and Becker, Diane M and Cooke, John P and Absher, Devin M and Olin, Jeffrey W and Mitchell, Braxton D and Reilly, Muredach P and Mohler, Emile R and North, Kari E and Reiner, Alexander P and Kronenberg, Florian and Murabito, Joanne M} } @article {6569, title = {Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data.}, journal = {BMJ}, volume = {349}, year = {2014}, month = {2014 Jul 10}, pages = {g4164}, abstract = {

OBJECTIVE: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease.

DESIGN: Mendelian randomisation meta-analysis of 56 epidemiological studies.

PARTICIPANTS: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers.

MAIN OUTCOME MEASURES: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption.

RESULTS: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2\% fewer units of alcohol per week (95\% confidence interval 15.6\% to 18.9\%), had a lower prevalence of binge drinking (odds ratio 0.78 (95\% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2\% (-7.8 to -2.4\%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)).

CONCLUSIONS: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.

}, keywords = {Adult, Aged, Alcohol Dehydrogenase, Alcohol Drinking, Biomarkers, Coronary Disease, Female, Genetic Markers, Genotype, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Models, Statistical, Polymorphism, Single Nucleotide, Stroke}, issn = {1756-1833}, doi = {10.1136/bmj.g4164}, author = {Holmes, Michael V and Dale, Caroline E and Zuccolo, Luisa and Silverwood, Richard J and Guo, Yiran and Ye, Zheng and Prieto-Merino, David and Dehghan, Abbas and Trompet, Stella and Wong, Andrew and Cavadino, Alana and Drogan, Dagmar and Padmanabhan, Sandosh and Li, Shanshan and Yesupriya, Ajay and Leusink, Maarten and Sundstr{\"o}m, Johan and Hubacek, Jaroslav A and Pikhart, Hynek and Swerdlow, Daniel I and Panayiotou, Andrie G and Borinskaya, Svetlana A and Finan, Chris and Shah, Sonia and Kuchenbaecker, Karoline B and Shah, Tina and Engmann, Jorgen and Folkersen, Lasse and Eriksson, Per and Ricceri, Fulvio and Melander, Olle and Sacerdote, Carlotta and Gamble, Dale M and Rayaprolu, Sruti and Ross, Owen A and McLachlan, Stela and Vikhireva, Olga and Sluijs, Ivonne and Scott, Robert A and Adamkova, Vera and Flicker, Leon and Bockxmeer, Frank M van and Power, Christine and Marques-Vidal, Pedro and Meade, Tom and Marmot, Michael G and Ferro, Jose M and Paulos-Pinheiro, Sofia and Humphries, Steve E and Talmud, Philippa J and Mateo Leach, Irene and Verweij, Niek and Linneberg, Allan and Skaaby, Tea and Doevendans, Pieter A and Cramer, Maarten J and van der Harst, Pim and Klungel, Olaf H and Dowling, Nicole F and Dominiczak, Anna F and Kumari, Meena and Nicolaides, Andrew N and Weikert, Cornelia and Boeing, Heiner and Ebrahim, Shah and Gaunt, Tom R and Price, Jackie F and Lannfelt, Lars and Peasey, Anne and Kubinova, Ruzena and Pajak, Andrzej and Malyutina, Sofia and Voevoda, Mikhail I and Tamosiunas, Abdonas and Maitland-van der Zee, Anke H and Norman, Paul E and Hankey, Graeme J and Bergmann, Manuela M and Hofman, Albert and Franco, Oscar H and Cooper, Jackie and Palmen, Jutta and Spiering, Wilko and de Jong, Pim A and Kuh, Diana and Hardy, Rebecca and Uitterlinden, Andr{\'e} G and Ikram, M Arfan and Ford, Ian and Hypp{\"o}nen, Elina and Almeida, Osvaldo P and Wareham, Nicholas J and Khaw, Kay-Tee and Hamsten, Anders and Husemoen, Lise Lotte N and Tj{\o}nneland, Anne and Tolstrup, Janne S and Rimm, Eric and Beulens, Joline W J and Verschuren, W M Monique and Onland-Moret, N Charlotte and Hofker, Marten H and Wannamethee, S Goya and Whincup, Peter H and Morris, Richard and Vicente, Astrid M and Watkins, Hugh and Farrall, Martin and Jukema, J Wouter and Meschia, James and Cupples, L Adrienne and Sharp, Stephen J and Fornage, Myriam and Kooperberg, Charles and LaCroix, Andrea Z and Dai, James Y and Lanktree, Matthew B and Siscovick, David S and Jorgenson, Eric and Spring, Bonnie and Coresh, Josef and Li, Yun R and Buxbaum, Sarah G and Schreiner, Pamela J and Ellison, R Curtis and Tsai, Michael Y and Patel, Sanjay R and Redline, Susan and Johnson, Andrew D and Hoogeveen, Ron C and Hakonarson, Hakon and Rotter, Jerome I and Boerwinkle, Eric and de Bakker, Paul I W and Kivimaki, Mika and Asselbergs, Folkert W and Sattar, Naveed and Lawlor, Debbie A and Whittaker, John and Davey Smith, George and Mukamal, Kenneth and Psaty, Bruce M and Wilson, James G and Lange, Leslie A and Hamidovic, Ajna and Hingorani, Aroon D and Nordestgaard, B{\o}rge G and Bobak, Martin and Leon, David A and Langenberg, Claudia and Palmer, Tom M and Reiner, Alex P and Keating, Brendan J and Dudbridge, Frank and Casas, Juan P} } @article {6590, title = {Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.}, journal = {Am J Hum Genet}, volume = {94}, year = {2014}, month = {2014 Feb 06}, pages = {223-32}, abstract = {

Low-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1\% and 2\%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Adult, African Continental Ancestry Group, Aged, Alleles, Animals, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Coronary Disease, European Continental Ancestry Group, Female, Gene Frequency, Genetic Association Studies, Genetic Code, Genetic Variation, Humans, Linear Models, Male, Mice, Mice, Inbred C57BL, Microtubule-Associated Proteins, Middle Aged, Phenotype, Sequence Analysis, DNA, Subtilisins, Triglycerides}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.01.009}, author = {Peloso, Gina M and Auer, Paul L and Bis, Joshua C and Voorman, Arend and Morrison, Alanna C and Stitziel, Nathan O and Brody, Jennifer A and Khetarpal, Sumeet A and Crosby, Jacy R and Fornage, Myriam and Isaacs, Aaron and Jakobsdottir, Johanna and Feitosa, Mary F and Davies, Gail and Huffman, Jennifer E and Manichaikul, Ani and Davis, Brian and Lohman, Kurt and Joon, Aron Y and Smith, Albert V and Grove, Megan L and Zanoni, Paolo and Redon, Valeska and Demissie, Serkalem and Lawson, Kim and Peters, Ulrike and Carlson, Christopher and Jackson, Rebecca D and Ryckman, Kelli K and Mackey, Rachel H and Robinson, Jennifer G and Siscovick, David S and Schreiner, Pamela J and Mychaleckyj, Josyf C and Pankow, James S and Hofman, Albert and Uitterlinden, Andr{\'e} G and Harris, Tamara B and Taylor, Kent D and Stafford, Jeanette M and Reynolds, Lindsay M and Marioni, Riccardo E and Dehghan, Abbas and Franco, Oscar H and Patel, Aniruddh P and Lu, Yingchang and Hindy, George and Gottesman, Omri and Bottinger, Erwin P and Melander, Olle and Orho-Melander, Marju and Loos, Ruth J F and Duga, Stefano and Merlini, Piera Angelica and Farrall, Martin and Goel, Anuj and Asselta, Rosanna and Girelli, Domenico and Martinelli, Nicola and Shah, Svati H and Kraus, William E and Li, Mingyao and Rader, Daniel J and Reilly, Muredach P and McPherson, Ruth and Watkins, Hugh and Ardissino, Diego and Zhang, Qunyuan and Wang, Judy and Tsai, Michael Y and Taylor, Herman A and Correa, Adolfo and Griswold, Michael E and Lange, Leslie A and Starr, John M and Rudan, Igor and Eiriksdottir, Gudny and Launer, Lenore J and Ordovas, Jose M and Levy, Daniel and Chen, Y-D Ida and Reiner, Alexander P and Hayward, Caroline and Polasek, Ozren and Deary, Ian J and Borecki, Ingrid B and Liu, Yongmei and Gudnason, Vilmundur and Wilson, James G and van Duijn, Cornelia M and Kooperberg, Charles and Rich, Stephen S and Psaty, Bruce M and Rotter, Jerome I and O{\textquoteright}Donnell, Christopher J and Rice, Kenneth and Boerwinkle, Eric and Kathiresan, Sekar and Cupples, L Adrienne} } @article {6938, title = {FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Dec 20}, pages = {6961-72}, abstract = {

FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177,330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m(2), P = 1.9 {\texttimes} 10(-105)), and all participants (0.30 [0.30, 0.35] kg/m(2), P = 3.6 {\texttimes} 10(-107)). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] \%, P = 2.4 {\texttimes} 10(-16)), and relative weak associations with lower total energy intake (-6.4 [-10.1, -2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (-0.07 [-0.11, -0.02] \%, P = 0.004). The associations with protein (P = 7.5 {\texttimes} 10(-9)) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity.

}, keywords = {Adult, African Americans, Aged, Alleles, Asian Continental Ancestry Group, Body Mass Index, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Female, Gene Frequency, Humans, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Proteins}, issn = {1460-2083}, doi = {10.1093/hmg/ddu411}, author = {Qi, Qibin and Kilpel{\"a}inen, Tuomas O and Downer, Mary K and Tanaka, Toshiko and Smith, Caren E and Sluijs, Ivonne and Sonestedt, Emily and Chu, Audrey Y and Renstrom, Frida and Lin, Xiaochen and {\"A}ngquist, Lars H and Huang, Jinyan and Liu, Zhonghua and Li, Yanping and Asif Ali, Muhammad and Xu, Min and Ahluwalia, Tarunveer Singh and Boer, Jolanda M A and Chen, Peng and Daimon, Makoto and Eriksson, Johan and Perola, Markus and Friedlander, Yechiel and Gao, Yu-Tang and Heppe, Denise H M and Holloway, John W and Houston, Denise K and Kanoni, Stavroula and Kim, Yu-Mi and Laaksonen, Maarit A and J{\"a}{\"a}skel{\"a}inen, Tiina and Lee, Nanette R and Lehtim{\"a}ki, Terho and Lemaitre, Rozenn N and Lu, Wei and Luben, Robert N and Manichaikul, Ani and M{\"a}nnist{\"o}, Satu and Marques-Vidal, Pedro and Monda, Keri L and Ngwa, Julius S and Perusse, Louis and van Rooij, Frank J A and Xiang, Yong-Bing and Wen, Wanqing and Wojczynski, Mary K and Zhu, Jingwen and Borecki, Ingrid B and Bouchard, Claude and Cai, Qiuyin and Cooper, Cyrus and Dedoussis, George V and Deloukas, Panos and Ferrucci, Luigi and Forouhi, Nita G and Hansen, Torben and Christiansen, Lene and Hofman, Albert and Johansson, Ingegerd and J{\o}rgensen, Torben and Karasawa, Shigeru and Khaw, Kay-Tee and Kim, Mi-Kyung and Kristiansson, Kati and Li, Huaixing and Lin, Xu and Liu, Yongmei and Lohman, Kurt K and Long, Jirong and Mikkil{\"a}, Vera and Mozaffarian, Dariush and North, Kari and Pedersen, Oluf and Raitakari, Olli and Rissanen, Harri and Tuomilehto, Jaakko and van der Schouw, Yvonne T and Uitterlinden, Andr{\'e} G and Zillikens, M Carola and Franco, Oscar H and Shyong Tai, E and Ou Shu, Xiao and Siscovick, David S and Toft, Ulla and Verschuren, W M Monique and Vollenweider, Peter and Wareham, Nicholas J and Witteman, Jacqueline C M and Zheng, Wei and Ridker, Paul M and Kang, Jae H and Liang, Liming and Jensen, Majken K and Curhan, Gary C and Pasquale, Louis R and Hunter, David J and Mohlke, Karen L and Uusitupa, Matti and Cupples, L Adrienne and Rankinen, Tuomo and Orho-Melander, Marju and Wang, Tao and Chasman, Daniel I and Franks, Paul W and S{\o}rensen, Thorkild I A and Hu, Frank B and Loos, Ruth J F and Nettleton, Jennifer A and Qi, Lu} } @article {6579, title = {Sequence variation in TMEM18 in association with body mass index: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {344-9}, abstract = {

BACKGROUND: Genome-wide association studies for body mass index (BMI) previously identified a locus near TMEM18. We conducted targeted sequencing of this region to investigate the role of common, low-frequency, and rare variants influencing BMI.

METHODS AND RESULTS: We sequenced TMEM18 and regions downstream of TMEM18 on chromosome 2 in 3976 individuals of European ancestry from 3 community-based cohorts (Atherosclerosis Risk in Communities, Cardiovascular Health Study, and Framingham Heart Study), including 200 adults selected for high BMI. We examined the association between BMI and variants identified in the region from nucleotide position 586 432 to 677 539 (hg18). Rare variants (minor allele frequency, <1\%) were analyzed using a burden test and the sequence kernel association test. Results from the 3 cohort studies were meta-analyzed. We estimate that mean BMI is 0.43 kg/m(2) higher for each copy of the G allele of single-nucleotide polymorphism rs7596758 (minor allele frequency, 29\%; P=3.46{\texttimes}10(-4)) using a Bonferroni threshold of P<4.6{\texttimes}10(-4). Analyses conditional on previous genome-wide association study single-nucleotide polymorphisms associated with BMI in the region led to attenuation of this signal and uncovered another independent (r(2)<0.2), statistically significant association, rs186019316 (P=2.11{\texttimes}10(-4)). Both rs186019316 and rs7596758 or proxies are located in transcription factor binding regions. No significant association with rare variants was found in either the exons of TMEM18 or the 3{\textquoteright} genome-wide association study region.

CONCLUSIONS: Targeted sequencing around TMEM18 identified 2 novel BMI variants with possible regulatory function.

}, keywords = {Adult, Aged, Aging, Body Mass Index, Cohort Studies, Female, Genetic Association Studies, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Diseases, Humans, Male, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Young Adult}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.13.000067}, author = {Liu, Ching-Ti and Young, Kristin L and Brody, Jennifer A and Olden, Matthias and Wojczynski, Mary K and Heard-Costa, Nancy and Li, Guo and Morrison, Alanna C and Muzny, Donna and Gibbs, Richard A and Reid, Jeffrey G and Shao, Yaming and Zhou, Yanhua and Boerwinkle, Eric and Heiss, Gerardo and Wagenknecht, Lynne and McKnight, Barbara and Borecki, Ingrid B and Fox, Caroline S and North, Kari E and Cupples, L Adrienne} } @article {6547, title = {Sequencing of 2 subclinical atherosclerosis candidate regions in 3669 individuals: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {359-64}, abstract = {

BACKGROUND: Atherosclerosis, the precursor to coronary heart disease and stroke, is characterized by an accumulation of fatty cells in the arterial intimal-medial layers. Common carotid intima media thickness (cIMT) and plaque are subclinical atherosclerosis measures that predict cardiovascular disease events. Previously, genome-wide association studies demonstrated evidence for association with cIMT (SLC17A4) and plaque (PIK3CG).

METHODS AND RESULTS: We sequenced 120 kb around SLC17A4 (6p22.2) and 251 kb around PIK3CG (7q22.3) among 3669 European ancestry participants from the Atherosclerosis Risk in Communities (ARIC) study, Cardiovascular Health Study (CHS), and Framingham Heart Study (FHS) in Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Primary analyses focused on 438 common variants (minor allele frequency >=1\%), which were independently meta-analyzed. A 3{\textquoteright} untranslated region CCDC71L variant (rs2286149), upstream from PIK3CG, was the most significant finding in cIMT (P=0.00033) and plaque (P=0.0004) analyses. A SLC17A4 intronic variant was also associated with cIMT (P=0.008). Both were in low linkage disequilibrium with the genome-wide association study single nucleotide polymorphisms. Gene-based tests including T1 count and sequence kernel association test for rare variants (minor allele frequency <1\%) did not yield statistically significant associations. However, we observed nominal associations for rare variants in CCDC71L and SLC17A3 with cIMT and of the entire 7q22 region with plaque (P=0.05).

CONCLUSIONS: Common and rare variants in PIK3CG and SLC17A4 regions demonstrated modest association with subclinical atherosclerosis traits. Although not conclusive, these findings may help to understand the genetic architecture of regions previously implicated by genome-wide association studies and identify variants within these regions for further investigation in larger samples.

}, keywords = {Aged, Aged, 80 and over, Aging, Atherosclerosis, Class Ib Phosphatidylinositol 3-Kinase, Cohort Studies, European Continental Ancestry Group, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Sodium-Phosphate Cotransporter Proteins, Type I}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000116}, author = {Bis, Joshua C and White, Charles C and Franceschini, Nora and Brody, Jennifer and Zhang, Xiaoling and Muzny, Donna and Santibanez, Jireh and Gibbs, Richard and Liu, Xiaoming and Lin, Honghuang and Boerwinkle, Eric and Psaty, Bruce M and North, Kari E and Cupples, L Adrienne and O{\textquoteright}Donnell, Christopher J} } @article {6583, title = {Sequencing of SCN5A identifies rare and common variants associated with cardiac conduction: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {365-73}, abstract = {

BACKGROUND: The cardiac sodium channel SCN5A regulates atrioventricular and ventricular conduction. Genetic variants in this gene are associated with PR and QRS intervals. We sought to characterize further the contribution of rare and common coding variation in SCN5A to cardiac conduction.

METHODS AND RESULTS: In Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study, we performed targeted exonic sequencing of SCN5A (n=3699, European ancestry individuals) and identified 4 common (minor allele frequency >1\%) and 157 rare variants. Common and rare SCN5A coding variants were examined for association with PR and QRS intervals through meta-analysis of European ancestry participants from CHARGE, National Heart, Lung, and Blood Institute{\textquoteright}s Exome Sequencing Project (n=607), and the UK10K (n=1275) and by examining Exome Sequencing Project African ancestry participants (n=972). Rare coding SCN5A variants in aggregate were associated with PR interval in European and African ancestry participants (P=1.3{\texttimes}10(-3)). Three common variants were associated with PR and QRS interval duration among European ancestry participants and one among African ancestry participants. These included 2 well-known missense variants: rs1805124 (H558R) was associated with PR and QRS shortening in European ancestry participants (P=6.25{\texttimes}10(-4) and P=5.2{\texttimes}10(-3), respectively) and rs7626962 (S1102Y) was associated with PR shortening in those of African ancestry (P=2.82{\texttimes}10(-3)). Among European ancestry participants, 2 novel synonymous variants, rs1805126 and rs6599230, were associated with cardiac conduction. Our top signal, rs1805126 was associated with PR and QRS lengthening (P=3.35{\texttimes}10(-7) and P=2.69{\texttimes}10(-4), respectively) and rs6599230 was associated with PR shortening (P=2.67{\texttimes}10(-5)).

CONCLUSIONS: By sequencing SCN5A, we identified novel common and rare coding variants associated with cardiac conduction.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Conduction System, Heart Diseases, Humans, Male, Middle Aged, NAV1.5 Voltage-Gated Sodium Channel, Polymorphism, Single Nucleotide, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000098}, author = {Magnani, Jared W and Brody, Jennifer A and Prins, Bram P and Arking, Dan E and Lin, Honghuang and Yin, Xiaoyan and Liu, Ching-Ti and Morrison, Alanna C and Zhang, Feng and Spector, Tim D and Alonso, Alvaro and Bis, Joshua C and Heckbert, Susan R and Lumley, Thomas and Sitlani, Colleen M and Cupples, L Adrienne and Lubitz, Steven A and Soliman, Elsayed Z and Pulit, Sara L and Newton-Cheh, Christopher and O{\textquoteright}Donnell, Christopher J and Ellinor, Patrick T and Benjamin, Emelia J and Muzny, Donna M and Gibbs, Richard A and Santibanez, Jireh and Taylor, Herman A and Rotter, Jerome I and Lange, Leslie A and Psaty, Bruce M and Jackson, Rebecca and Rich, Stephen S and Boerwinkle, Eric and Jamshidi, Yalda and Sotoodehnia, Nona} } @article {6578, title = {Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {335-43}, abstract = {

BACKGROUND: Genome-wide association studies have identified thousands of genetic variants that influence a variety of diseases and health-related quantitative traits. However, the causal variants underlying the majority of genetic associations remain unknown. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study aims to follow up genome-wide association study signals and identify novel associations of the allelic spectrum of identified variants with cardiovascular-related traits.

METHODS AND RESULTS: The study included 4231 participants from 3 CHARGE cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, and the Framingham Heart Study. We used a case-cohort design in which we selected both a random sample of participants and participants with extreme phenotypes for each of 14 traits. We sequenced and analyzed 77 genomic loci, which had previously been associated with >=1 of 14 phenotypes. A total of 52 736 variants were characterized by sequencing and passed our stringent quality control criteria. For common variants (minor allele frequency >=1\%), we performed unweighted regression analyses to obtain P values for associations and weighted regression analyses to obtain effect estimates that accounted for the sampling design. For rare variants, we applied 2 approaches: collapsed aggregate statistics and joint analysis of variants using the sequence kernel association test.

CONCLUSIONS: We sequenced 77 genomic loci in participants from 3 cohorts. We established a set of filters to identify high-quality variants and implemented statistical and bioinformatics strategies to analyze the sequence data and identify potentially functional variants within genome-wide association study loci.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Diseases, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Research Design, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000350}, author = {Lin, Honghuang and Wang, Min and Brody, Jennifer A and Bis, Joshua C and Dupuis, Jos{\'e}e and Lumley, Thomas and McKnight, Barbara and Rice, Kenneth M and Sitlani, Colleen M and Reid, Jeffrey G and Bressler, Jan and Liu, Xiaoming and Davis, Brian C and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Kovar, Christie L and Dinh, Huyen and Wu, Yuanqing and Newsham, Irene and Chen, Han and Broka, Andi and DeStefano, Anita L and Gupta, Mayetri and Lunetta, Kathryn L and Liu, Ching-Ti and White, Charles C and Xing, Chuanhua and Zhou, Yanhua and Benjamin, Emelia J and Schnabel, Renate B and Heckbert, Susan R and Psaty, Bruce M and Muzny, Donna M and Cupples, L Adrienne and Morrison, Alanna C and Boerwinkle, Eric} } @article {6577, title = {Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol.}, journal = {Am J Hum Genet}, volume = {94}, year = {2014}, month = {2014 Feb 06}, pages = {233-45}, abstract = {

Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or <2(nd) percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.

}, keywords = {Adult, Aged, Apolipoproteins E, Cholesterol, LDL, Cohort Studies, Dyslipidemias, Exome, Female, Follow-Up Studies, Gene Frequency, Genetic Code, Genome-Wide Association Study, Genotype, Humans, Lipase, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Proprotein Convertase 9, Proprotein Convertases, Receptors, LDL, Sequence Analysis, DNA, Serine Endopeptidases}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.01.010}, author = {Lange, Leslie A and Hu, Youna and Zhang, He and Xue, Chenyi and Schmidt, Ellen M and Tang, Zheng-Zheng and Bizon, Chris and Lange, Ethan M and Smith, Joshua D and Turner, Emily H and Jun, Goo and Kang, Hyun Min and Peloso, Gina and Auer, Paul and Li, Kuo-Ping and Flannick, Jason and Zhang, Ji and Fuchsberger, Christian and Gaulton, Kyle and Lindgren, Cecilia and Locke, Adam and Manning, Alisa and Sim, Xueling and Rivas, Manuel A and Holmen, Oddgeir L and Gottesman, Omri and Lu, Yingchang and Ruderfer, Douglas and Stahl, Eli A and Duan, Qing and Li, Yun and Durda, Peter and Jiao, Shuo and Isaacs, Aaron and Hofman, Albert and Bis, Joshua C and Correa, Adolfo and Griswold, Michael E and Jakobsdottir, Johanna and Smith, Albert V and Schreiner, Pamela J and Feitosa, Mary F and Zhang, Qunyuan and Huffman, Jennifer E and Crosby, Jacy and Wassel, Christina L and Do, Ron and Franceschini, Nora and Martin, Lisa W and Robinson, Jennifer G and Assimes, Themistocles L and Crosslin, David R and Rosenthal, Elisabeth A and Tsai, Michael and Rieder, Mark J and Farlow, Deborah N and Folsom, Aaron R and Lumley, Thomas and Fox, Ervin R and Carlson, Christopher S and Peters, Ulrike and Jackson, Rebecca D and van Duijn, Cornelia M and Uitterlinden, Andr{\'e} G and Levy, Daniel and Rotter, Jerome I and Taylor, Herman A and Gudnason, Vilmundur and Siscovick, David S and Fornage, Myriam and Borecki, Ingrid B and Hayward, Caroline and Rudan, Igor and Chen, Y Eugene and Bottinger, Erwin P and Loos, Ruth J F and S{\ae}trom, P{\r a}l and Hveem, Kristian and Boehnke, Michael and Groop, Leif and McCarthy, Mark and Meitinger, Thomas and Ballantyne, Christie M and Gabriel, Stacey B and O{\textquoteright}Donnell, Christopher J and Post, Wendy S and North, Kari E and Reiner, Alexander P and Boerwinkle, Eric and Psaty, Bruce M and Altshuler, David and Kathiresan, Sekar and Lin, Dan-Yu and Jarvik, Gail P and Cupples, L Adrienne and Kooperberg, Charles and Wilson, James G and Nickerson, Deborah A and Abecasis, Goncalo R and Rich, Stephen S and Tracy, Russell P and Willer, Cristen J} } @article {6875, title = {Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium.}, journal = {PLoS One}, volume = {10}, year = {2015}, month = {2015}, pages = {e0140496}, abstract = {

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{\texttimes}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.

}, keywords = {African Americans, Aged, Antihypertensive Agents, Cardiovascular Diseases, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Hypertension, Incidence, Male, Middle Aged, Polymorphism, Single Nucleotide, Treatment Outcome}, issn = {1932-6203}, doi = {10.1371/journal.pone.0140496}, author = {Bis, Joshua C and Sitlani, Colleen and Irvin, Ryan and Avery, Christy L and Smith, Albert Vernon and Sun, Fangui and Evans, Daniel S and Musani, Solomon K and Li, Xiaohui and Trompet, Stella and Krijthe, Bouwe P and Harris, Tamara B and Quibrera, P Miguel and Brody, Jennifer A and Demissie, Serkalem and Davis, Barry R and Wiggins, Kerri L and Tranah, Gregory J and Lange, Leslie A and Sotoodehnia, Nona and Stott, David J and Franco, Oscar H and Launer, Lenore J and St{\"u}rmer, Til and Taylor, Kent D and Cupples, L Adrienne and Eckfeldt, John H and Smith, Nicholas L and Liu, Yongmei and Wilson, James G and Heckbert, Susan R and Buckley, Brendan M and Ikram, M Arfan and Boerwinkle, Eric and Chen, Yii-Der Ida and de Craen, Anton J M and Uitterlinden, Andr{\'e} G and Rotter, Jerome I and Ford, Ian and Hofman, Albert and Sattar, Naveed and Slagboom, P Eline and Westendorp, Rudi G J and Gudnason, Vilmundur and Vasan, Ramachandran S and Lumley, Thomas and Cummings, Steven R and Taylor, Herman A and Post, Wendy and Jukema, J Wouter and Stricker, Bruno H and Whitsel, Eric A and Psaty, Bruce M and Arnett, Donna} } @article {6602, title = {Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.}, journal = {Stat Med}, volume = {34}, year = {2015}, month = {2015 Jan 15}, pages = {118-30}, abstract = {

Many longitudinal cohort studies have both genome-wide measures of genetic variation and repeated measures of phenotypes and environmental exposures. Genome-wide association study analyses have typically used only cross-sectional data to evaluate quantitative phenotypes and binary traits. Incorporation of repeated measures may increase power to detect associations, but also requires specialized analysis methods. Here, we discuss one such method-generalized estimating equations (GEE)-in the contexts of analysis of main effects of rare genetic variants and analysis of gene-environment interactions. We illustrate the potential for increased power using GEE analyses instead of cross-sectional analyses. We also address challenges that arise, such as the need for small-sample corrections when the minor allele frequency of a genetic variant and/or the prevalence of an environmental exposure is low. To illustrate methods for detection of gene-drug interactions on a genome-wide scale, using repeated measures data, we conduct single-study analyses and meta-analyses across studies in three large cohort studies participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium-the Atherosclerosis Risk in Communities study, the Cardiovascular Health Study, and the Rotterdam Study.

}, keywords = {Aged, Aging, Cardiovascular Diseases, Cohort Studies, Computer Simulation, Cross-Sectional Studies, Epidemiologic Research Design, Gene-Environment Interaction, Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Longitudinal Studies, Meta-Analysis as Topic, Models, Genetic, Pharmacogenetics, Risk Assessment, United States}, issn = {1097-0258}, doi = {10.1002/sim.6323}, author = {Sitlani, Colleen M and Rice, Kenneth M and Lumley, Thomas and McKnight, Barbara and Cupples, L Adrienne and Avery, Christy L and Noordam, Raymond and Stricker, Bruno H C and Whitsel, Eric A and Psaty, Bruce M} } @article {6849, title = {Rare and Coding Region Genetic Variants Associated With Risk of Ischemic Stroke: The NHLBI Exome Sequence Project.}, journal = {JAMA Neurol}, volume = {72}, year = {2015}, month = {2015 Jul}, pages = {781-8}, abstract = {

IMPORTANCE: Stroke is the second leading cause of death and the third leading cause of years of life lost. Genetic factors contribute to stroke prevalence, and candidate gene and genome-wide association studies (GWAS) have identified variants associated with ischemic stroke risk. These variants often have small effects without obvious biological significance. Exome sequencing may discover predicted protein-altering variants with a potentially large effect on ischemic stroke risk.

OBJECTIVE: To investigate the contribution of rare and common genetic variants to ischemic stroke risk by targeting the protein-coding regions of the human genome.

DESIGN, SETTING, AND PARTICIPANTS: The National Heart, Lung, and Blood Institute (NHLBI) Exome Sequencing Project (ESP) analyzed approximately 6000 participants from numerous cohorts of European and African ancestry. For discovery, 365 cases of ischemic stroke (small-vessel and large-vessel subtypes) and 809 European ancestry controls were sequenced; for replication, 47 affected sibpairs concordant for stroke subtype and an African American case-control series were sequenced, with 1672 cases and 4509 European ancestry controls genotyped. The ESP{\textquoteright}s exome sequencing and genotyping started on January 1, 2010, and continued through June 30, 2012. Analyses were conducted on the full data set between July 12, 2012, and July 13, 2013.

MAIN OUTCOMES AND MEASURES: Discovery of new variants or genes contributing to ischemic stroke risk and subtype (primary analysis) and determination of support for protein-coding variants contributing to risk in previously published candidate genes (secondary analysis).

RESULTS: We identified 2 novel genes associated with an increased risk of ischemic stroke: a protein-coding variant in PDE4DIP (rs1778155; odds ratio, 2.15; P = 2.63 {\texttimes} 10(-8)) with an intracellular signal transduction mechanism and in ACOT4 (rs35724886; odds ratio, 2.04; P = 1.24 {\texttimes} 10(-7)) with a fatty acid metabolism; confirmation of PDE4DIP was observed in affected sibpair families with large-vessel stroke subtype and in African Americans. Replication of protein-coding variants in candidate genes was observed for 2 previously reported GWAS associations: ZFHX3 (cardioembolic stroke) and ABCA1 (large-vessel stroke).

CONCLUSIONS AND RELEVANCE: Exome sequencing discovered 2 novel genes and mechanisms, PDE4DIP and ACOT4, associated with increased risk for ischemic stroke. In addition, ZFHX3 and ABCA1 were discovered to have protein-coding variants associated with ischemic stroke. These results suggest that genetic variation in novel pathways contributes to ischemic stroke risk and serves as a target for prediction, prevention, and therapy.

}, keywords = {Aged, Brain Ischemia, Exome, Female, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Muscle Proteins, National Heart, Lung, and Blood Institute (U.S.), Nuclear Proteins, Open Reading Frames, Palmitoyl-CoA Hydrolase, Stroke, United States}, issn = {2168-6157}, doi = {10.1001/jamaneurol.2015.0582}, author = {Auer, Paul L and Nalls, Mike and Meschia, James F and Worrall, Bradford B and Longstreth, W T and Seshadri, Sudha and Kooperberg, Charles and Burger, Kathleen M and Carlson, Christopher S and Carty, Cara L and Chen, Wei-Min and Cupples, L Adrienne and DeStefano, Anita L and Fornage, Myriam and Hardy, John and Hsu, Li and Jackson, Rebecca D and Jarvik, Gail P and Kim, Daniel S and Lakshminarayan, Kamakshi and Lange, Leslie A and Manichaikul, Ani and Quinlan, Aaron R and Singleton, Andrew B and Thornton, Timothy A and Nickerson, Deborah A and Peters, Ulrike and Rich, Stephen S} } @article {7004, title = {Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium.}, journal = {PLoS One}, volume = {11}, year = {2016}, month = {2016}, pages = {e0144997}, abstract = {

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{\texttimes}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{\texttimes}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{\texttimes}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{\texttimes}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{\texttimes}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.

}, keywords = {Aged, Cohort Studies, Cooperative Behavior, Coronary Artery Disease, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Myocardial Infarction, Polymorphism, Single Nucleotide, Prospective Studies}, issn = {1932-6203}, doi = {10.1371/journal.pone.0144997}, author = {Dehghan, Abbas and Bis, Joshua C and White, Charles C and Smith, Albert Vernon and Morrison, Alanna C and Cupples, L Adrienne and Trompet, Stella and Chasman, Daniel I and Lumley, Thomas and V{\"o}lker, Uwe and Buckley, Brendan M and Ding, Jingzhong and Jensen, Majken K and Folsom, Aaron R and Kritchevsky, Stephen B and Girman, Cynthia J and Ford, Ian and D{\"o}rr, Marcus and Salomaa, Veikko and Uitterlinden, Andr{\'e} G and Eiriksdottir, Gudny and Vasan, Ramachandran S and Franceschini, Nora and Carty, Cara L and Virtamo, Jarmo and Demissie, Serkalem and Amouyel, Philippe and Arveiler, Dominique and Heckbert, Susan R and Ferrieres, Jean and Ducimetiere, Pierre and Smith, Nicholas L and Wang, Ying A and Siscovick, David S and Rice, Kenneth M and Wiklund, Per-Gunnar and Taylor, Kent D and Evans, Alun and Kee, Frank and Rotter, Jerome I and Karvanen, Juha and Kuulasmaa, Kari and Heiss, Gerardo and Kraft, Peter and Launer, Lenore J and Hofman, Albert and Markus, Marcello R P and Rose, Lynda M and Silander, Kaisa and Wagner, Peter and Benjamin, Emelia J and Lohman, Kurt and Stott, David J and Rivadeneira, Fernando and Harris, Tamara B and Levy, Daniel and Liu, Yongmei and Rimm, Eric B and Jukema, J Wouter and V{\"o}lzke, Henry and Ridker, Paul M and Blankenberg, Stefan and Franco, Oscar H and Gudnason, Vilmundur and Psaty, Bruce M and Boerwinkle, Eric and O{\textquoteright}Donnell, Christopher J} } @article {7578, title = {Genome-wide association meta-analysis of fish and EPA+DHA consumption in 17 US and European cohorts.}, journal = {PLoS One}, volume = {12}, year = {2017}, month = {2017}, pages = {e0186456}, abstract = {

BACKGROUND: Regular fish and omega-3 consumption may have several health benefits and are recommended by major dietary guidelines. Yet, their intakes remain remarkably variable both within and across populations, which could partly owe to genetic influences.

OBJECTIVE: To identify common genetic variants that influence fish and dietary eicosapentaenoic acid plus docosahexaenoic acid (EPA+DHA) consumption.

DESIGN: We conducted genome-wide association (GWA) meta-analysis of fish (n = 86,467) and EPA+DHA (n = 62,265) consumption in 17 cohorts of European descent from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium Nutrition Working Group. Results from cohort-specific GWA analyses (additive model) for fish and EPA+DHA consumption were adjusted for age, sex, energy intake, and population stratification, and meta-analyzed separately using fixed-effect meta-analysis with inverse variance weights (METAL software). Additionally, heritability was estimated in 2 cohorts.

RESULTS: Heritability estimates for fish and EPA+DHA consumption ranged from 0.13-0.24 and 0.12-0.22, respectively. A significant GWA for fish intake was observed for rs9502823 on chromosome 6: each copy of the minor allele (FreqA = 0.015) was associated with 0.029 servings/day (~1 serving/month) lower fish consumption (P = 1.96x10-8). No significant association was observed for EPA+DHA, although rs7206790 in the obesity-associated FTO gene was among top hits (P = 8.18x10-7). Post-hoc calculations demonstrated 95\% statistical power to detect a genetic variant associated with effect size of 0.05\% for fish and 0.08\% for EPA+DHA.

CONCLUSIONS: These novel findings suggest that non-genetic personal and environmental factors are principal determinants of the remarkable variation in fish consumption, representing modifiable targets for increasing intakes among all individuals. Genes underlying the signal at rs72838923 and mechanisms for the association warrant further investigation.

}, keywords = {Adult, Aged, Cohort Studies, Docosahexaenoic Acids, Eicosapentaenoic Acid, Europe, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Seafood, United States}, issn = {1932-6203}, doi = {10.1371/journal.pone.0186456}, author = {Mozaffarian, Dariush and Dashti, Hassan S and Wojczynski, Mary K and Chu, Audrey Y and Nettleton, Jennifer A and M{\"a}nnist{\"o}, Satu and Kristiansson, Kati and Reedik, M{\"a}gi and Lahti, Jari and Houston, Denise K and Cornelis, Marilyn C and van Rooij, Frank J A and Dimitriou, Maria and Kanoni, Stavroula and Mikkil{\"a}, Vera and Steffen, Lyn M and de Oliveira Otto, Marcia C and Qi, Lu and Psaty, Bruce and Djouss{\'e}, Luc and Rotter, Jerome I and Harald, Kennet and Perola, Markus and Rissanen, Harri and Jula, Antti and Krista, Fischer and Mihailov, Evelin and Feitosa, Mary F and Ngwa, Julius S and Xue, Luting and Jacques, Paul F and Per{\"a}l{\"a}, Mia-Maria and Palotie, Aarno and Liu, Yongmei and Nalls, Nike A and Ferrucci, Luigi and Hernandez, Dena and Manichaikul, Ani and Tsai, Michael Y and Kiefte-de Jong, Jessica C and Hofman, Albert and Uitterlinden, Andr{\'e} G and Rallidis, Loukianos and Ridker, Paul M and Rose, Lynda M and Buring, Julie E and Lehtim{\"a}ki, Terho and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Lemaitre, Rozenn and Salomaa, Veikko and Knekt, Paul and Metspalu, Andres and Borecki, Ingrid B and Cupples, L Adrienne and Eriksson, Johan G and Kritchevsky, Stephen B and Bandinelli, Stefania and Siscovick, David and Franco, Oscar H and Deloukas, Panos and Dedoussis, George and Chasman, Daniel I and Raitakari, Olli and Tanaka, Toshiko} } @article {7976, title = {Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 01 22}, pages = {376}, abstract = {

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.

}, keywords = {Adolescent, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Asian Continental Ancestry Group, Brazil, Calcium-Binding Proteins, Cholesterol, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Exercise, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Hispanic Americans, Humans, LIM-Homeodomain Proteins, Lipid Metabolism, Lipids, Male, Membrane Proteins, Microtubule-Associated Proteins, Middle Aged, Muscle Proteins, Nerve Tissue Proteins, Transcription Factors, Triglycerides, Young Adult}, issn = {2041-1723}, doi = {10.1038/s41467-018-08008-w}, author = {Kilpel{\"a}inen, Tuomas O and Bentley, Amy R and Noordam, Raymond and Sung, Yun Ju and Schwander, Karen and Winkler, Thomas W and Jakupovi{\'c}, Hermina and Chasman, Daniel I and Manning, Alisa and Ntalla, Ioanna and Aschard, Hugues and Brown, Michael R and de Las Fuentes, Lisa and Franceschini, Nora and Guo, Xiuqing and Vojinovic, Dina and Aslibekyan, Stella and Feitosa, Mary F and Kho, Minjung and Musani, Solomon K and Richard, Melissa and Wang, Heming and Wang, Zhe and Bartz, Traci M and Bielak, Lawrence F and Campbell, Archie and Dorajoo, Rajkumar and Fisher, Virginia and Hartwig, Fernando P and Horimoto, Andrea R V R and Li, Changwei and Lohman, Kurt K and Marten, Jonathan and Sim, Xueling and Smith, Albert V and Tajuddin, Salman M and Alver, Maris and Amini, Marzyeh and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Graff, Mariaelisa and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Jackson, Anne U and Zhao, Jing Hua and Kraja, Aldi T and Kuhnel, Brigitte and Laguzzi, Federica and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Rauramaa, Rainer and Riaz, Muhammad and Robino, Antonietta and Rueedi, Rico and Stringham, Heather M and Takeuchi, Fumihiko and van der Most, Peter J and Varga, Tibor V and Verweij, Niek and Ware, Erin B and Wen, Wanqing and Li, Xiaoyin and Yanek, Lisa R and Amin, Najaf and Arnett, Donna K and Boerwinkle, Eric and Brumat, Marco and Cade, Brian and Canouil, Micka{\"e}l and Chen, Yii-Der Ida and Concas, Maria Pina and Connell, John and de Mutsert, Ren{\'e}e and de Silva, H Janaka and de Vries, Paul S and Demirkan, Ayse and Ding, Jingzhong and Eaton, Charles B and Faul, Jessica D and Friedlander, Yechiel and Gabriel, Kelley P and Ghanbari, Mohsen and Giulianini, Franco and Gu, Chi Charles and Gu, Dongfeng and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hunt, Steven C and Ikram, M Arfan and Jonas, Jost B and Koh, Woon-Puay and Komulainen, Pirjo and Krieger, Jose E and Kritchevsky, Stephen B and Kutalik, Zolt{\'a}n and Kuusisto, Johanna and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Leander, Karin and Lemaitre, Rozenn N and Lewis, Cora E and Liang, Jingjing and Liu, Jianjun and M{\"a}gi, Reedik and Manichaikul, Ani and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Mohlke, Karen L and Mosley, Thomas H and Murray, Alison D and Nalls, Mike A and Nang, Ei-Ei Khaing and Nelson, Christopher P and Nona, Sotoodehnia and Norris, Jill M and Nwuba, Chiamaka Vivian and O{\textquoteright}Connell, Jeff and Palmer, Nicholette D and Papanicolau, George J and Pazoki, Raha and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Porteous, David J and Poveda, Alaitz and Raitakari, Olli T and Rich, Stephen S and Risch, Neil and Robinson, Jennifer G and Rose, Lynda M and Rudan, Igor and Schreiner, Pamela J and Scott, Robert A and Sidney, Stephen S and Sims, Mario and Smith, Jennifer A and Snieder, Harold and Sofer, Tamar and Starr, John M and Sternfeld, Barbara and Strauch, Konstantin and Tang, Hua and Taylor, Kent D and Tsai, Michael Y and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and van der Ende, M Yldau and van Heemst, Diana and Voortman, Trudy and Waldenberger, Melanie and Wennberg, Patrik and Wilson, Gregory and Xiang, Yong-Bing and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and de Faire, Ulf and Deary, Ian J and Elliott, Paul and Esko, T{\~o}nu and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Kato, Norihiro and Laakso, Markku and Lakka, Timo A and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Samani, Nilesh J and Shu, Xiao-Ou and van der Harst, Pim and van Vliet-Ostaptchouk, Jana V and Vollenweider, Peter and Wagenknecht, Lynne E and Wang, Ya X and Wareham, Nicholas J and Weir, David R and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Evans, Michele K and Franks, Paul W and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kelly, Tanika N and Liu, Yongmei and North, Kari E and Pereira, Alexandre C and Ridker, Paul M and Tai, E Shyong and van Dam, Rob M and Fox, Ervin R and Kardia, Sharon L R and Liu, Ching-Ti and Mook-Kanamori, Dennis O and Province, Michael A and Redline, Susan and van Duijn, Cornelia M and Rotter, Jerome I and Kooperberg, Charles B and Gauderman, W James and Psaty, Bruce M and Rice, Kenneth and Munroe, Patricia B and Fornage, Myriam and Cupples, L Adrienne and Rotimi, Charles N and Morrison, Alanna C and Rao, Dabeeru C and Loos, Ruth J F} } @article {8639, title = {Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants.}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {2020 10 14}, pages = {5182}, abstract = {

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.

}, keywords = {Adult, African Americans, Aged, Aged, 80 and over, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Calcium-Binding Proteins, Feasibility Studies, Female, Follow-Up Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Intracellular Signaling Peptides and Proteins, Lung, Male, Middle Aged, Polymorphism, Single Nucleotide, Protein Inhibitors of Activated STAT, Pulmonary Disease, Chronic Obstructive, Respiratory Physiological Phenomena, Small Ubiquitin-Related Modifier Proteins, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-020-18334-7}, author = {Zhao, Xutong and Qiao, Dandi and Yang, Chaojie and Kasela, Silva and Kim, Wonji and Ma, Yanlin and Shrine, Nick and Batini, Chiara and Sofer, Tamar and Taliun, Sarah A Gagliano and Sakornsakolpat, Phuwanat and Balte, Pallavi P and Prokopenko, Dmitry and Yu, Bing and Lange, Leslie A and Dupuis, Jos{\'e}e and Cade, Brian E and Lee, Jiwon and Gharib, Sina A and Daya, Michelle and Laurie, Cecelia A and Ruczinski, Ingo and Cupples, L Adrienne and Loehr, Laura R and Bartz, Traci M and Morrison, Alanna C and Psaty, Bruce M and Vasan, Ramachandran S and Wilson, James G and Taylor, Kent D and Durda, Peter and Johnson, W Craig and Cornell, Elaine and Guo, Xiuqing and Liu, Yongmei and Tracy, Russell P and Ardlie, Kristin G and Aguet, Francois and VanDenBerg, David J and Papanicolaou, George J and Rotter, Jerome I and Barnes, Kathleen C and Jain, Deepti and Nickerson, Deborah A and Muzny, Donna M and Metcalf, Ginger A and Doddapaneni, Harshavardhan and Dugan-Perez, Shannon and Gupta, Namrata and Gabriel, Stacey and Rich, Stephen S and O{\textquoteright}Connor, George T and Redline, Susan and Reed, Robert M and Laurie, Cathy C and Daviglus, Martha L and Preudhomme, Liana K and Burkart, Kristin M and Kaplan, Robert C and Wain, Louise V and Tobin, Martin D and London, Stephanie J and Lappalainen, Tuuli and Oelsner, Elizabeth C and Abecasis, Goncalo R and Silverman, Edwin K and Barr, R Graham and Cho, Michael H and Manichaikul, Ani} }