@article {1150, title = {Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Jan}, pages = {45-52}, abstract = {

Spirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV(1)) and its ratio to forced vital capacity (FEV(1)/FVC), an indicator of airflow obstruction. This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study and Rotterdam Study. We identified eight loci associated with FEV(1)/FVC (HHIP, GPR126, ADAM19, AGER-PPT2, FAM13A, PTCH1, PID1 and HTR4) and one locus associated with FEV(1) (INTS12-GSTCD-NPNT) at or near genome-wide significance (P < 5 x 10(-8)) in the CHARGE Consortium dataset. Our findings may offer insights into pulmonary function and pathogenesis of chronic lung disease.

}, keywords = {Databases, Genetic, Female, Forced Expiratory Volume, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung, Lung Diseases, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Spirometry, Vital Capacity}, issn = {1546-1718}, doi = {10.1038/ng.500}, author = {Hancock, Dana B and Eijgelsheim, Mark and Wilk, Jemma B and Gharib, Sina A and Loehr, Laura R and Marciante, Kristin D and Franceschini, Nora and van Durme, Yannick M T A and Chen, Ting-Hsu and Barr, R Graham and Schabath, Matthew B and Couper, David J and Brusselle, Guy G and Psaty, Bruce M and van Duijn, Cornelia M and Rotter, Jerome I and Uitterlinden, Andr{\'e} G and Hofman, Albert and Punjabi, Naresh M and Rivadeneira, Fernando and Morrison, Alanna C and Enright, Paul L and North, Kari E and Heckbert, Susan R and Lumley, Thomas and Stricker, Bruno H C and O{\textquoteright}Connor, George T and London, Stephanie J} } @article {1179, title = {A meta-analysis of four genome-wide association studies of survival to age 90 years or older: the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {65}, year = {2010}, month = {2010 May}, pages = {478-87}, abstract = {

BACKGROUND: Genome-wide association studies (GWAS) may yield insights into longevity.

METHODS: We performed a meta-analysis of GWAS in Caucasians from four prospective cohort studies: the Age, Gene/Environment Susceptibility-Reykjavik Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Longevity was defined as survival to age 90 years or older (n = 1,836); the comparison group comprised cohort members who died between the ages of 55 and 80 years (n = 1,955). In a second discovery stage, additional genotyping was conducted in the Leiden Longevity Study cohort and the Danish 1905 cohort.

RESULTS: There were 273 single-nucleotide polymorphism (SNP) associations with p < .0001, but none reached the prespecified significance level of 5 x 10(-8). Of the most significant SNPs, 24 were independent signals, and 16 of these SNPs were successfully genotyped in the second discovery stage, with one association for rs9664222, reaching 6.77 x 10(-7) for the combined meta-analysis of CHARGE and the stage 2 cohorts. The SNP lies in a region near MINPP1 (chromosome 10), a well-conserved gene involved in regulation of cellular proliferation. The minor allele was associated with lower odds of survival past age 90 (odds ratio = 0.82). Associations of interest in a homologue of the longevity assurance gene (LASS3) and PAPPA2 were not strengthened in the second stage.

CONCLUSION: Survival studies of larger size or more extreme or specific phenotypes may support or refine these initial findings.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Alleles, Cohort Studies, Confidence Intervals, Female, Genome-Wide Association Study, Genotype, Humans, Longevity, Male, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide}, issn = {1758-535X}, doi = {10.1093/gerona/glq028}, author = {Newman, Anne B and Walter, Stefan and Lunetta, Kathryn L and Garcia, Melissa E and Slagboom, P Eline and Christensen, Kaare and Arnold, Alice M and Aspelund, Thor and Aulchenko, Yurii S and Benjamin, Emelia J and Christiansen, Lene and D{\textquoteright}Agostino, Ralph B and Fitzpatrick, Annette L and Franceschini, Nora and Glazer, Nicole L and Gudnason, Vilmundur and Hofman, Albert and Kaplan, Robert and Karasik, David and Kelly-Hayes, Margaret and Kiel, Douglas P and Launer, Lenore J and Marciante, Kristin D and Massaro, Joseph M and Miljkovic, Iva and Nalls, Michael A and Hernandez, Dena and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome and Seshadri, Sudha and Smith, Albert V and Taylor, Kent D and Tiemeier, Henning and Uh, Hae-Won and Uitterlinden, Andr{\'e} G and Vaupel, James W and Walston, Jeremy and Westendorp, Rudi G J and Harris, Tamara B and Lumley, Thomas and van Duijn, Cornelia M and Murabito, Joanne M} } @article {1347, title = {Association of genetic variants and incident coronary heart disease in multiethnic cohorts: the PAGE study.}, journal = {Circ Cardiovasc Genet}, volume = {4}, year = {2011}, month = {2011 Dec}, pages = {661-72}, abstract = {

BACKGROUND: Genome-wide association studies identified several single nucleotide polymorphisms (SNP) associated with prevalent coronary heart disease (CHD), but less is known of associations with incident CHD. The association of 13 published CHD SNPs was examined in 5 ancestry groups of 4 large US prospective cohorts.

METHODS AND RESULTS: The analyses included incident coronary events over an average 9.1 to 15.7 follow-up person-years in up to 26 617 white individuals (6626 events), 8018 black individuals (914 events), 1903 Hispanic individuals (113 events), 3669 American Indian individuals (595 events), and 885 Asian/Pacific Islander individuals (66 events). We used Cox proportional hazards models (with additive mode of inheritance) adjusted for age, sex, and ancestry (as needed). Nine loci were statistically associated with incident CHD events in white participants: 9p21 (rs10757278; P=4.7 {\texttimes} 10(-41)), 16q23.1 (rs2549513; P=0.0004), 6p24.1 (rs499818; P=0.0002), 2q36.3 (rs2943634; P=6.7 {\texttimes} 10(-6)), MTHFD1L (rs6922269, P=5.1 {\texttimes} 10(-10)), APOE (rs429358; P=2.7{\texttimes}10(-18)), ZNF627 (rs4804611; P=5.0 {\texttimes} 10(-8)), CXCL12 (rs501120; P=1.4 {\texttimes} 10(-6)) and LPL (rs268; P=2.7 {\texttimes} 10(-17)). The 9p21 region showed significant between-study heterogeneity, with larger effects in individuals age 55 years or younger and in women. Inclusion of coronary revascularization procedures among the incident CHD events introduced heterogeneity. The SNPs were not associated with CHD in black participants, and associations varied in other US minorities.

CONCLUSIONS: Prospective analyses of white participants replicated several reported cross-sectional CHD-SNP associations.

}, keywords = {Aged, Aged, 80 and over, Continental Population Groups, Coronary Disease, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Prospective Studies}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.960096}, author = {Franceschini, Nora and Carty, Cara and B{\r u}zkov{\'a}, Petra and Reiner, Alex P and Garrett, Tiana and Lin, Yi and V{\"o}ckler, Jens-S and Hindorff, Lucia A and Cole, Shelley A and Boerwinkle, Eric and Lin, Dan-Yu and Bookman, Ebony and Best, Lyle G and Bella, Jonathan N and Eaton, Charles and Greenland, Philip and Jenny, Nancy and North, Kari E and Taverna, Darin and Young, Alicia M and Deelman, Ewa and Kooperberg, Charles and Psaty, Bruce and Heiss, Gerardo} } @article {1273, title = {Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Jun 01}, pages = {2273-84}, abstract = {

The prevalence of hypertension in African Americans (AAs) is higher than in other US groups; yet, few have performed genome-wide association studies (GWASs) in AA. Among people of European descent, GWASs have identified genetic variants at 13 loci that are associated with blood pressure. It is unknown if these variants confer susceptibility in people of African ancestry. Here, we examined genome-wide and candidate gene associations with systolic blood pressure (SBP) and diastolic blood pressure (DBP) using the Candidate Gene Association Resource (CARe) consortium consisting of 8591 AAs. Genotypes included genome-wide single-nucleotide polymorphism (SNP) data utilizing the Affymetrix 6.0 array with imputation to 2.5 million HapMap SNPs and candidate gene SNP data utilizing a 50K cardiovascular gene-centric array (ITMAT-Broad-CARe [IBC] array). For Affymetrix data, the strongest signal for DBP was rs10474346 (P= 3.6 {\texttimes} 10(-8)) located near GPR98 and ARRDC3. For SBP, the strongest signal was rs2258119 in C21orf91 (P= 4.7 {\texttimes} 10(-8)). The top IBC association for SBP was rs2012318 (P= 6.4 {\texttimes} 10(-6)) near SLC25A42 and for DBP was rs2523586 (P= 1.3 {\texttimes} 10(-6)) near HLA-B. None of the top variants replicated in additional AA (n = 11 882) or European-American (n = 69 899) cohorts. We replicated previously reported European-American blood pressure SNPs in our AA samples (SH2B3, P= 0.009; TBX3-TBX5, P= 0.03; and CSK-ULK3, P= 0.0004). These genetic loci represent the best evidence of genetic influences on SBP and DBP in AAs to date. More broadly, this work supports that notion that blood pressure among AAs is a trait with genetic underpinnings but also with significant complexity.

}, keywords = {Adult, African Americans, Aged, Blood Pressure, Cohort Studies, Diastole, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Hypertension, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Systole}, issn = {1460-2083}, doi = {10.1093/hmg/ddr092}, author = {Fox, Ervin R and Young, J Hunter and Li, Yali and Dreisbach, Albert W and Keating, Brendan J and Musani, Solomon K and Liu, Kiang and Morrison, Alanna C and Ganesh, Santhi and Kutlar, Abdullah and Ramachandran, Vasan S and Polak, Josef F and Fabsitz, Richard R and Dries, Daniel L and Farlow, Deborah N and Redline, Susan and Adeyemo, Adebowale and Hirschorn, Joel N and Sun, Yan V and Wyatt, Sharon B and Penman, Alan D and Palmas, Walter and Rotter, Jerome I and Townsend, Raymond R and Doumatey, Ayo P and Tayo, Bamidele O and Mosley, Thomas H and Lyon, Helen N and Kang, Sun J and Rotimi, Charles N and Cooper, Richard S and Franceschini, Nora and Curb, J David and Martin, Lisa W and Eaton, Charles B and Kardia, Sharon L R and Taylor, Herman A and Caulfield, Mark J and Ehret, Georg B and Johnson, Toby and Chakravarti, Aravinda and Zhu, Xiaofeng and Levy, Daniel} } @article {1274, title = {A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium.}, journal = {Diabetes}, volume = {60}, year = {2011}, month = {2011 Apr}, pages = {1329-39}, abstract = {

OBJECTIVE The metabolic syndrome (MetS) is defined as concomitant disorders of lipid and glucose metabolism, central obesity, and high blood pressure, with an increased risk of type 2 diabetes and cardiovascular disease. This study tests whether common genetic variants with pleiotropic effects account for some of the correlated architecture among five metabolic phenotypes that define MetS. RESEARCH DESIGN AND METHODS Seven studies of the STAMPEED consortium, comprising 22,161 participants of European ancestry, underwent genome-wide association analyses of metabolic traits using a panel of \~{}2.5 million imputed single nucleotide polymorphisms (SNPs). Phenotypes were defined by the National Cholesterol Education Program (NCEP) criteria for MetS in pairwise combinations. Individuals exceeding the NCEP thresholds for both traits of a pair were considered affected. RESULTS Twenty-nine common variants were associated with MetS or a pair of traits. Variants in the genes LPL, CETP, APOA5 (and its cluster), GCKR (and its cluster), LIPC, TRIB1, LOC100128354/MTNR1B, ABCB11, and LOC100129150 were further tested for their association with individual qualitative and quantitative traits. None of the 16 top SNPs (one per gene) associated simultaneously with more than two individual traits. Of them 11 variants showed nominal associations with MetS per se. The effects of 16 top SNPs on the quantitative traits were relatively small, together explaining from \~{}9\% of the variance in triglycerides, 5.8\% of high-density lipoprotein cholesterol, 3.6\% of fasting glucose, and 1.4\% of systolic blood pressure. CONCLUSIONS Qualitative and quantitative pleiotropic tests on pairs of traits indicate that a small portion of the covariation in these traits can be explained by the reported common genetic variants.

}, keywords = {Adult, Aged, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Meta-Analysis as Topic, Metabolic Syndrome, Middle Aged, Phenotype, Polymorphism, Single Nucleotide}, issn = {1939-327X}, doi = {10.2337/db10-1011}, author = {Kraja, Aldi T and Vaidya, Dhananjay and Pankow, James S and Goodarzi, Mark O and Assimes, Themistocles L and Kullo, Iftikhar J and Sovio, Ulla and Mathias, Rasika A and Sun, Yan V and Franceschini, Nora and Absher, Devin and Li, Guo and Zhang, Qunyuan and Feitosa, Mary F and Glazer, Nicole L and Haritunians, Talin and Hartikainen, Anna-Liisa and Knowles, Joshua W and North, Kari E and Iribarren, Carlos and Kral, Brian and Yanek, Lisa and O{\textquoteright}Reilly, Paul F and McCarthy, Mark I and Jaquish, Cashell and Couper, David J and Chakravarti, Aravinda and Psaty, Bruce M and Becker, Lewis C and Province, Michael A and Boerwinkle, Eric and Quertermous, Thomas and Palotie, Leena and Jarvelin, Marjo-Riitta and Becker, Diane M and Kardia, Sharon L R and Rotter, Jerome I and Chen, Yii-Der Ida and Borecki, Ingrid 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 {1303, title = {Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Jun}, pages = {e1002138}, abstract = {

For the past five years, genome-wide association studies (GWAS) have identified hundreds of common variants associated with human diseases and traits, including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels. Approximately 95 loci associated with lipid levels have been identified primarily among populations of European ancestry. The Population Architecture using Genomics and Epidemiology (PAGE) study was established in 2008 to characterize GWAS-identified variants in diverse population-based studies. We genotyped 49 GWAS-identified SNPs associated with one or more lipid traits in at least two PAGE studies and across six racial/ethnic groups. We performed a meta-analysis testing for SNP associations with fasting HDL-C, LDL-C, and ln(TG) levels in self-identified European American (~20,000), African American (~9,000), American Indian (~6,000), Mexican American/Hispanic (~2,500), Japanese/East Asian (~690), and Pacific Islander/Native Hawaiian (~175) adults, regardless of lipid-lowering medication use. We replicated 55 of 60 (92\%) SNP associations tested in European Americans at p<0.05. Despite sufficient power, we were unable to replicate ABCA1 rs4149268 and rs1883025, CETP rs1864163, and TTC39B rs471364 previously associated with HDL-C and MAFB rs6102059 previously associated with LDL-C. Based on significance (p<0.05) and consistent direction of effect, a majority of replicated genotype-phentoype associations for HDL-C, LDL-C, and ln(TG) in European Americans generalized to African Americans (48\%, 61\%, and 57\%), American Indians (45\%, 64\%, and 77\%), and Mexican Americans/Hispanics (57\%, 56\%, and 86\%). Overall, 16 associations generalized across all three populations. For the associations that did not generalize, differences in effect sizes, allele frequencies, and linkage disequilibrium offer clues to the next generation of association studies for these traits.

}, keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Continental Population Groups, Female, Gene Frequency, Genetics, Population, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Lipid Metabolism, Lipoproteins, HDL, Lipoproteins, LDL, Male, Middle Aged, Molecular Epidemiology, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Triglycerides, Young Adult}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002138}, author = {Dumitrescu, Logan and Carty, Cara L and Taylor, Kira and Schumacher, Fredrick R and Hindorff, Lucia A and Ambite, Jos{\'e} L and Anderson, Garnet and Best, Lyle G and Brown-Gentry, Kristin and B{\r u}zkov{\'a}, Petra and Carlson, Christopher S and Cochran, Barbara and Cole, Shelley A and Devereux, Richard B and Duggan, Dave and Eaton, Charles B and Fornage, Myriam and Franceschini, Nora and Haessler, Jeff and Howard, Barbara V and Johnson, Karen C and Laston, Sandra and Kolonel, Laurence N and Lee, Elisa T and MacCluer, Jean W and Manolio, Teri A and Pendergrass, Sarah A and Quibrera, Miguel and Shohet, Ralph V and Wilkens, Lynne R and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Buyske, Steven and Kooperberg, Charles and North, Kari E and Crawford, Dana C} } @article {6096, title = {Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 25}, pages = {1082-90}, abstract = {

Pulmonary function measures reflect respiratory health and are used in the diagnosis of chronic obstructive pulmonary disease. We tested genome-wide association with forced expiratory volume in 1 second and the ratio of forced expiratory volume in 1 second to forced vital capacity in 48,201 individuals of European ancestry with follow up of the top associations in up to an additional 46,411 individuals. We identified new regions showing association (combined P < 5 {\texttimes} 10(-8)) with pulmonary function in or near MFAP2, TGFB2, HDAC4, RARB, MECOM (also known as EVI1), SPATA9, ARMC2, NCR3, ZKSCAN3, CDC123, C10orf11, LRP1, CCDC38, MMP15, CFDP1 and KCNE2. Identification of these 16 new loci may provide insight into the molecular mechanisms regulating pulmonary function and into molecular targets for future therapy to alleviate reduced lung function.

}, keywords = {Child, European Continental Ancestry Group, Genome-Wide Association Study, Humans, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests}, issn = {1546-1718}, doi = {10.1038/ng.941}, author = {Soler Artigas, Maria and Loth, Daan W and Wain, Louise V and Gharib, Sina A and Obeidat, Ma{\textquoteright}en and Tang, Wenbo and Zhai, Guangju and Zhao, Jing Hua and Smith, Albert Vernon and Huffman, Jennifer E and Albrecht, Eva and Jackson, Catherine M and Evans, David M and Cadby, Gemma and Fornage, Myriam and Manichaikul, Ani and Lopez, Lorna M and Johnson, Toby and Aldrich, Melinda C and Aspelund, Thor and Barroso, In{\^e}s and Campbell, Harry and Cassano, Patricia A and Couper, David J and Eiriksdottir, Gudny and Franceschini, Nora and Garcia, Melissa and Gieger, Christian and Gislason, Gauti Kjartan and Grkovic, Ivica and Hammond, Christopher J and Hancock, Dana B and Harris, Tamara B and Ramasamy, Adaikalavan and Heckbert, Susan R and Heli{\"o}vaara, Markku and Homuth, Georg and Hysi, Pirro G and James, Alan L and Jankovic, Stipan and Joubert, Bonnie R and Karrasch, Stefan and Klopp, Norman and Koch, Beate and Kritchevsky, Stephen B and Launer, Lenore J and Liu, Yongmei and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Lumley, Thomas and Al Balushi, Khalid A and Ang, Wei Q and Barr, R Graham and Beilby, John and Blakey, John D and Boban, Mladen and Boraska, Vesna and Brisman, Jonas and Britton, John R and Brusselle, Guy G and Cooper, Cyrus and Curjuric, Ivan and Dahgam, Santosh and Deary, Ian J and Ebrahim, Shah and Eijgelsheim, Mark and Francks, Clyde and Gaysina, Darya and Granell, Raquel and Gu, Xiangjun and Hankinson, John L and Hardy, Rebecca and Harris, Sarah E and Henderson, John and Henry, Amanda and Hingorani, Aroon D and Hofman, Albert and Holt, Patrick G and Hui, Jennie and Hunter, Michael L and Imboden, Medea and Jameson, Karen A and Kerr, Shona M and Kolcic, Ivana and Kronenberg, Florian and Liu, Jason Z and Marchini, Jonathan and McKeever, Tricia and Morris, Andrew D and Olin, Anna-Carin and Porteous, David J and Postma, Dirkje S and Rich, Stephen S and Ring, Susan M and Rivadeneira, Fernando and Rochat, Thierry and Sayer, Avan Aihie and Sayers, Ian and Sly, Peter D and Smith, George Davey and Sood, Akshay and Starr, John M and Uitterlinden, Andr{\'e} G and Vonk, Judith M and Wannamethee, S Goya and Whincup, Peter H and Wijmenga, Cisca and Williams, O Dale and Wong, Andrew and Mangino, Massimo and Marciante, Kristin D and McArdle, Wendy L and Meibohm, Bernd and Morrison, Alanna C and North, Kari E and Omenaas, Ernst and Palmer, Lyle J and Pietil{\"a}inen, Kirsi H and Pin, Isabelle and Pola Sbreve Ek, Ozren and Pouta, Anneli and Psaty, Bruce M and Hartikainen, Anna-Liisa and Rantanen, Taina and Ripatti, Samuli and Rotter, Jerome I and Rudan, Igor and Rudnicka, Alicja R and Schulz, Holger and Shin, So-Youn and Spector, Tim D and Surakka, Ida and Vitart, Veronique and V{\"o}lzke, Henry and Wareham, Nicholas J and Warrington, Nicole M and Wichmann, H-Erich and Wild, Sarah H and Wilk, Jemma B and Wjst, Matthias and Wright, Alan F and Zgaga, Lina and Zemunik, Tatijana and Pennell, Craig E and Nyberg, Fredrik and Kuh, Diana and Holloway, John W and Boezen, H Marike and Lawlor, Debbie A and Morris, Richard W and Probst-Hensch, Nicole and Kaprio, Jaakko and Wilson, James F and Hayward, Caroline and K{\"a}h{\"o}nen, Mika and Heinrich, Joachim and Musk, Arthur W and Jarvis, Deborah L and Gl{\"a}ser, Sven and Jarvelin, Marjo-Riitta and Ch Stricker, Bruno H and Elliott, Paul and O{\textquoteright}Connor, George T and Strachan, David P and London, Stephanie J and Hall, Ian P and Gudnason, Vilmundur and Tobin, Martin D} } @article {1307, title = {A genome-wide association study of aging.}, journal = {Neurobiol Aging}, volume = {32}, year = {2011}, month = {2011 Nov}, pages = {2109.e15-28}, abstract = {

Human longevity and healthy aging show moderate heritability (20\%-50\%). We conducted a meta-analysis of genome-wide association studies from 9 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium for 2 outcomes: (1) all-cause mortality, and (2) survival free of major disease or death. No single nucleotide polymorphism (SNP) was a genome-wide significant predictor of either outcome (p < 5 {\texttimes} 10(-8)). We found 14 independent SNPs that predicted risk of death, and 8 SNPs that predicted event-free survival (p < 10(-5)). These SNPs are in or near genes that are highly expressed in the brain (HECW2, HIP1, BIN2, GRIA1), genes involved in neural development and function (KCNQ4, LMO4, GRIA1, NETO1) and autophagy (ATG4C), and genes that are associated with risk of various diseases including cancer and Alzheimer{\textquoteright}s disease. In addition to considerable overlap between the traits, pathway and network analysis corroborated these findings. These findings indicate that variation in genes involved in neurological processes may be an important factor in regulating aging free of major disease and achieving longevity.

}, keywords = {Aging, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Longevity}, issn = {1558-1497}, doi = {10.1016/j.neurobiolaging.2011.05.026}, author = {Walter, Stefan and Atzmon, Gil and Demerath, Ellen W and Garcia, Melissa E and Kaplan, Robert C and Kumari, Meena and Lunetta, Kathryn L and Milaneschi, Yuri and Tanaka, Toshiko and Tranah, Gregory J and V{\"o}lker, Uwe and Yu, Lei and Arnold, Alice and Benjamin, Emelia J and Biffar, Reiner and Buchman, Aron S and Boerwinkle, Eric and Couper, David and De Jager, Philip L and Evans, Denis A and Harris, Tamara B and Hoffmann, Wolfgang and Hofman, Albert and Karasik, David and Kiel, Douglas P and Kocher, Thomas and Kuningas, Maris and Launer, Lenore J and Lohman, Kurt K and Lutsey, Pamela L and Mackenbach, Johan and Marciante, Kristin and Psaty, Bruce M and Reiman, Eric M and Rotter, Jerome I and Seshadri, Sudha and Shardell, Michelle D and Smith, Albert V and van Duijn, Cornelia and Walston, Jeremy and Zillikens, M Carola and Bandinelli, Stefania and Baumeister, Sebastian E and Bennett, David A and Ferrucci, Luigi and Gudnason, Vilmundur and Kivimaki, Mika and Liu, Yongmei and Murabito, Joanne M and Newman, Anne B and Tiemeier, Henning and Franceschini, Nora} } @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 {1371, title = {Associations between incident ischemic stroke events and stroke and cardiovascular disease-related genome-wide association studies single nucleotide polymorphisms in the Population Architecture Using Genomics and Epidemiology study.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Apr 01}, pages = {210-6}, abstract = {

BACKGROUND: Genome-wide association studies (GWAS) have identified loci associated with ischemic stroke (IS) and cardiovascular disease (CVD) in European-descent individuals, but their replication in different populations has been largely unexplored.

METHODS AND RESULTS: Nine single nucleotide polymorphisms (SNPs) selected from GWAS and meta-analyses of stroke, and 86 SNPs previously associated with myocardial infarction and CVD risk factors, including blood lipids (high density lipoprotein [HDL], low density lipoprotein [LDL], and triglycerides), type 2 diabetes, and body mass index (BMI), were investigated for associations with incident IS in European Americans (EA) N=26 276, African-Americans (AA) N=8970, and American Indians (AI) N=3570 from the Population Architecture using Genomics and Epidemiology Study. Ancestry-specific fixed effects meta-analysis with inverse variance weighting was used to combine study-specific log hazard ratios from Cox proportional hazards models. Two of 9 stroke SNPs (rs783396 and rs1804689) were significantly associated with [corrected] IS hazard in AA; none were significant in this large EA cohort. Of 73 CVD risk factor SNPs tested in EA, 2 (HDL and triglycerides SNPs) were associated with IS. In AA, SNPs associated with LDL, HDL, and BMI were significantly associated with IS (3 of 86 SNPs tested). Out of 58 SNPs tested in AI, 1 LDL SNP was significantly associated with IS.

CONCLUSIONS: Our analyses showing lack of replication in spite of reasonable power for many stroke SNPs and differing results by ancestry highlight the need to follow up on GWAS findings and conduct genetic association studies in diverse populations. We found modest IS associations with BMI and lipids SNPs, though these findings require confirmation.

}, keywords = {Aged, Aged, 80 and over, Cardiovascular Diseases, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Female, Genetics, Population, Genome-Wide Association Study, Genomics, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Stroke, Triglycerides}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.962191}, author = {Carty, Cara L and B{\r u}zkov{\'a}, Petra and Fornage, Myriam and Franceschini, Nora and Cole, Shelley and Heiss, Gerardo and Hindorff, Lucia A and Howard, Barbara V and Mann, Sue and Martin, Lisa W and Zhang, Ying and Matise, Tara C and Prentice, Ross and Reiner, Alexander P and Kooperberg, Charles} } @article {6633, title = {Consistent directions of effect for established type 2 diabetes risk variants across populations: the population architecture using Genomics and Epidemiology (PAGE) Consortium.}, journal = {Diabetes}, volume = {61}, year = {2012}, month = {2012 Jun}, pages = {1642-7}, abstract = {

Common genetic risk variants for type 2 diabetes (T2D) have primarily been identified in populations of European and Asian ancestry. We tested whether the direction of association with 20 T2D risk variants generalizes across six major racial/ethnic groups in the U.S. as part of the Population Architecture using Genomics and Epidemiology Consortium (16,235 diabetes case and 46,122 control subjects of European American, African American, Hispanic, East Asian, American Indian, and Native Hawaiian ancestry). The percentage of positive (odds ratio [OR] >1 for putative risk allele) associations ranged from 69\% in American Indians to 100\% in European Americans. Of the nine variants where we observed significant heterogeneity of effect by racial/ethnic group (P(heterogeneity) < 0.05), eight were positively associated with risk (OR >1) in at least five groups. The marked directional consistency of association observed for most genetic variants across populations implies a shared functional common variant in each region. Fine-mapping of all loci will be required to reveal markers of risk that are important within and across populations.

}, keywords = {Adult, Aged, Aged, 80 and over, Alleles, Diabetes Mellitus, Type 2, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Metagenomics, Middle Aged, Population Groups, Risk, Risk Factors}, issn = {1939-327X}, doi = {10.2337/db11-1296}, author = {Haiman, Christopher A and Fesinmeyer, Megan D and Spencer, Kylee L and B{\r u}zkov{\'a}, Petra and Voruganti, V Saroja and Wan, Peggy and Haessler, Jeff and Franceschini, Nora and Monroe, Kristine R and Howard, Barbara V and Jackson, Rebecca D and Florez, Jose C and Kolonel, Laurence N and Buyske, Steven and Goodloe, Robert J and Liu, Simin and Manson, JoAnn E and Meigs, James B and Waters, Kevin and Mukamal, Kenneth J and Pendergrass, Sarah A and Shrader, Peter and Wilkens, Lynne R and Hindorff, Lucia A and Ambite, Jose Luis and North, Kari E and Peters, Ulrike and Crawford, Dana C and Le Marchand, Lo{\"\i}c and Pankow, James S} } @article {6634, title = {Evaluation of the metabochip genotyping array in African Americans and implications for fine mapping of GWAS-identified loci: the PAGE study.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e35651}, abstract = {

The Metabochip is a custom genotyping array designed for replication and fine mapping of metabolic, cardiovascular, and anthropometric trait loci and includes low frequency variation content identified from the 1000 Genomes Project. It has 196,725 SNPs concentrated in 257 genomic regions. We evaluated the Metabochip in 5,863 African Americans; 89\% of all SNPs passed rigorous quality control with a call rate of 99.9\%. Two examples illustrate the value of fine mapping with the Metabochip in African-ancestry populations. At CELSR2/PSRC1/SORT1, we found the strongest associated SNP for LDL-C to be rs12740374 (p = 3.5 {\texttimes} 10(-11)), a SNP indistinguishable from multiple SNPs in European ancestry samples due to high correlation. Its distinct signal supports functional studies elsewhere suggesting a causal role in LDL-C. At CETP we found rs17231520, with risk allele frequency 0.07 in African Americans, to be associated with HDL-C (p = 7.2 {\texttimes} 10(-36)). This variant is very rare in Europeans and not tagged in common GWAS arrays, but was identified as associated with HDL-C in African Americans in a single-gene study. Our results, one narrowing the risk interval and the other revealing an associated variant not found in Europeans, demonstrate the advantages of high-density genotyping of common and rare variation for fine mapping of trait loci in African American samples.

}, keywords = {African Americans, Cardiovascular Diseases, Cholesterol Ester Transfer Proteins, Cholesterol, HDL, Cholesterol, LDL, Chromosomes, Human, Cohort Studies, Gene Frequency, Genome-Wide Association Study, Genotype, Humans, Metabolic Diseases, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1932-6203}, doi = {10.1371/journal.pone.0035651}, author = {Buyske, Steven and Wu, Ying and Carty, Cara L and Cheng, Iona and Assimes, Themistocles L and Dumitrescu, Logan and Hindorff, Lucia A and Mitchell, Sabrina and Ambite, Jose Luis and Boerwinkle, Eric and B{\r u}zkov{\'a}, Petra and Carlson, Chris S and Cochran, Barbara and Duggan, David and Eaton, Charles B and Fesinmeyer, Megan D and Franceschini, Nora and Haessler, Jeffrey and Jenny, Nancy and Kang, Hyun Min and Kooperberg, Charles and Lin, Yi and Le Marchand, Lo{\"\i}c and Matise, Tara C and Robinson, Jennifer G and Rodriguez, Carlos and Schumacher, Fredrick R and Voight, Benjamin F and Young, Alicia and Manolio, Teri A and Mohlke, Karen L and Haiman, Christopher A and Peters, Ulrike and Crawford, Dana C and North, Kari E} } @article {6092, title = {Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction.}, journal = {Am J Respir Crit Care Med}, volume = {186}, year = {2012}, month = {2012 Oct 01}, pages = {622-32}, abstract = {

RATIONALE: Genome-wide association studies (GWAS) have identified loci influencing lung function, but fewer genes influencing chronic obstructive pulmonary disease (COPD) are known.

OBJECTIVES: Perform meta-analyses of GWAS for airflow obstruction, a key pathophysiologic characteristic of COPD assessed by spirometry, in population-based cohorts examining all participants, ever smokers, never smokers, asthma-free participants, and more severe cases.

METHODS: Fifteen cohorts were studied for discovery (3,368 affected; 29,507 unaffected), and a population-based family study and a meta-analysis of case-control studies were used for replication and regional follow-up (3,837 cases; 4,479 control subjects). Airflow obstruction was defined as FEV(1) and its ratio to FVC (FEV(1)/FVC) both less than their respective lower limits of normal as determined by published reference equations.

MEASUREMENTS AND MAIN RESULTS: The discovery meta-analyses identified one region on chromosome 15q25.1 meeting genome-wide significance in ever smokers that includes AGPHD1, IREB2, and CHRNA5/CHRNA3 genes. The region was also modestly associated among never smokers. Gene expression studies confirmed the presence of CHRNA5/3 in lung, airway smooth muscle, and bronchial epithelial cells. A single-nucleotide polymorphism in HTR4, a gene previously related to FEV(1)/FVC, achieved genome-wide statistical significance in combined meta-analysis. Top single-nucleotide polymorphisms in ADAM19, RARB, PPAP2B, and ADAMTS19 were nominally replicated in the COPD meta-analysis.

CONCLUSIONS: These results suggest an important role for the CHRNA5/3 region as a genetic risk factor for airflow obstruction that may be independent of smoking and implicate the HTR4 gene in the etiology of airflow obstruction.

}, keywords = {Aged, Female, Forced Expiratory Volume, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive, Receptors, Nicotinic, Receptors, Serotonin, 5-HT4, Smoking, Vital Capacity}, issn = {1535-4970}, doi = {10.1164/rccm.201202-0366OC}, author = {Wilk, Jemma B and Shrine, Nick R G and Loehr, Laura R and Zhao, Jing Hua and Manichaikul, Ani and Lopez, Lorna M and Smith, Albert Vernon and Heckbert, Susan R and Smolonska, Joanna and Tang, Wenbo and Loth, Daan W and Curjuric, Ivan and Hui, Jennie and Cho, Michael H and Latourelle, Jeanne C and Henry, Amanda P and Aldrich, Melinda and Bakke, Per and Beaty, Terri H and Bentley, Amy R and Borecki, Ingrid B and Brusselle, Guy G and Burkart, Kristin M and Chen, Ting-Hsu and Couper, David and Crapo, James D and Davies, Gail and Dupuis, Jos{\'e}e and Franceschini, Nora and Gulsvik, Amund and Hancock, Dana B and Harris, Tamara B and Hofman, Albert and Imboden, Medea and James, Alan L and Khaw, Kay-Tee and Lahousse, Lies and Launer, Lenore J and Litonjua, Augusto and Liu, Yongmei and Lohman, Kurt K and Lomas, David A and Lumley, Thomas and Marciante, Kristin D and McArdle, Wendy L and Meibohm, Bernd and Morrison, Alanna C and Musk, Arthur W and Myers, Richard H and North, Kari E and Postma, Dirkje S and Psaty, Bruce M and Rich, Stephen S and Rivadeneira, Fernando and Rochat, Thierry and Rotter, Jerome I and Soler Artigas, Maria and Starr, John M and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Wijmenga, Cisca and Zanen, Pieter and Province, Michael A and Silverman, Edwin K and Deary, Ian J and Palmer, Lyle J and Cassano, Patricia A and Gudnason, Vilmundur and Barr, R Graham and Loos, Ruth J F and Strachan, David P and London, Stephanie J and Boezen, H Marike and Probst-Hensch, Nicole and Gharib, Sina A and Hall, Ian P and O{\textquoteright}Connor, George T and Tobin, Martin D and Stricker, Bruno H} } @article {6088, title = {Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1003098}, abstract = {

Genome-wide association studies have identified numerous genetic loci for spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1)), and its ratio to forced vital capacity (FEV(1)/FVC). Given that cigarette smoking adversely affects pulmonary function, we conducted genome-wide joint meta-analyses (JMA) of single nucleotide polymorphism (SNP) and SNP-by-smoking (ever-smoking or pack-years) associations on FEV(1) and FEV(1)/FVC across 19 studies (total N = 50,047). We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = )5.00{\texttimes}10(-11)), HLA-DQB1 and HLA-DQA2 (smallest P(JMA = )4.35{\texttimes}10(-9)), and KCNJ2 and SOX9 (smallest P(JMA = )1.28{\texttimes}10(-8)) were associated with FEV(1)/FVC or FEV(1) in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years) interaction. The HLA region has been widely implicated for autoimmune and lung phenotypes, unlike the other novel loci, which have not been widely implicated. We evaluated DNER, KCNJ2, and SOX9 and found them to be expressed in human lung tissue. DNER and SOX9 further showed evidence of differential expression in human airway epithelium in smokers compared to non-smokers. Our findings demonstrated that joint testing of SNP and SNP-by-environment interaction identified novel loci associated with complex traits that are missed when considering only the genetic main effects.

}, keywords = {Forced Expiratory Volume, Gene Expression, Genome, Human, Genome-Wide Association Study, HLA-DQ Antigens, HLA-DQ beta-Chains, Humans, Lung, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Potassium Channels, Inwardly Rectifying, Pulmonary Disease, Chronic Obstructive, Receptors, Cell Surface, Smoking, SOX9 Transcription Factor, Vital Capacity}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003098}, author = {Hancock, Dana B and Soler Artigas, Maria and Gharib, Sina A and Henry, Amanda and Manichaikul, Ani and Ramasamy, Adaikalavan and Loth, Daan W and Imboden, Medea and Koch, Beate and McArdle, Wendy L and Smith, Albert V and Smolonska, Joanna and Sood, Akshay and Tang, Wenbo and Wilk, Jemma B and Zhai, Guangju and Zhao, Jing Hua and Aschard, Hugues and Burkart, Kristin M and Curjuric, Ivan and Eijgelsheim, Mark and Elliott, Paul and Gu, Xiangjun and Harris, Tamara B and Janson, Christer and Homuth, Georg and Hysi, Pirro G and Liu, Jason Z and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Manning, Alisa K and Marciante, Kristin D and Obeidat, Ma{\textquoteright}en and Postma, Dirkje S and Aldrich, Melinda C and Brusselle, Guy G and Chen, Ting-Hsu and Eiriksdottir, Gudny and Franceschini, Nora and Heinrich, Joachim and Rotter, Jerome I and Wijmenga, Cisca and Williams, O Dale and Bentley, Amy R and Hofman, Albert and Laurie, Cathy C and Lumley, Thomas and Morrison, Alanna C and Joubert, Bonnie R and Rivadeneira, Fernando and Couper, David J and Kritchevsky, Stephen B and Liu, Yongmei and Wjst, Matthias and Wain, Louise V and Vonk, Judith M and Uitterlinden, Andr{\'e} G and Rochat, Thierry and Rich, Stephen S and Psaty, Bruce M and O{\textquoteright}Connor, George T and North, Kari E and Mirel, Daniel B and Meibohm, Bernd and Launer, Lenore J and Khaw, Kay-Tee and Hartikainen, Anna-Liisa and Hammond, Christopher J and Gl{\"a}ser, Sven and Marchini, Jonathan and Kraft, Peter and Wareham, Nicholas J and V{\"o}lzke, Henry and Stricker, Bruno H C and Spector, Timothy D and Probst-Hensch, Nicole M and Jarvis, Deborah and Jarvelin, Marjo-Riitta and Heckbert, Susan R and Gudnason, Vilmundur and Boezen, H Marike and Barr, R Graham and Cassano, Patricia A and Strachan, David P and Fornage, Myriam and Hall, Ian P and Dupuis, Jos{\'e}e and Tobin, Martin D and London, Stephanie J} } @article {1360, title = {Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways.}, journal = {Nat Genet}, volume = {44}, year = {2012}, month = {2012 Jan 22}, pages = {260-8}, abstract = {

To newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at natural menopause (at P < 5 {\texttimes} 10(-8)). Candidate genes located at these newly associated loci include genes implicated in DNA repair (EXO1, HELQ, UIMC1, FAM175A, FANCI, TLK1, POLG and PRIM1) and immune function (IL11, NLRP11 and PRRC2A (also known as BAT2)). Gene-set enrichment pathway analyses using the full GWAS data set identified exoDNase, NF-κB signaling and mitochondrial dysfunction as biological processes related to timing of menopause.

}, keywords = {Age Factors, DNA Helicases, DNA Polymerase gamma, DNA Primase, DNA Repair, DNA Repair Enzymes, DNA-Directed DNA Polymerase, European Continental Ancestry Group, Exodeoxyribonucleases, Female, Genetic Loci, Genome-Wide Association Study, Humans, Immunity, Menopause, Polymorphism, Single Nucleotide, Proteins}, issn = {1546-1718}, doi = {10.1038/ng.1051}, author = {Stolk, Lisette and Perry, John R B and Chasman, Daniel I and He, Chunyan and Mangino, Massimo and Sulem, Patrick and Barbalic, Maja and Broer, Linda and Byrne, Enda M and Ernst, Florian and Esko, T{\~o}nu and Franceschini, Nora and Gudbjartsson, Daniel F and Hottenga, Jouke-Jan and Kraft, Peter and McArdle, Patrick F and Porcu, Eleonora and Shin, So-Youn and Smith, Albert V and van Wingerden, Sophie and Zhai, Guangju and Zhuang, Wei V and Albrecht, Eva and Alizadeh, Behrooz Z and Aspelund, Thor and Bandinelli, Stefania and Lauc, Lovorka Barac and Beckmann, Jacques S and Boban, Mladen and Boerwinkle, Eric and Broekmans, Frank J and Burri, Andrea and Campbell, Harry and Chanock, Stephen J and Chen, Constance and Cornelis, Marilyn C and Corre, Tanguy and Coviello, Andrea D and D{\textquoteright}Adamo, Pio and Davies, Gail and de Faire, Ulf and de Geus, Eco J C and Deary, Ian J and Dedoussis, George V Z and Deloukas, Panagiotis and Ebrahim, Shah and Eiriksdottir, Gudny and Emilsson, Valur and Eriksson, Johan G and Fauser, Bart C J M and Ferreli, Liana and Ferrucci, Luigi and Fischer, Krista and Folsom, Aaron R and Garcia, Melissa E and Gasparini, Paolo and Gieger, Christian and Glazer, Nicole and Grobbee, Diederick E and Hall, Per and Haller, Toomas and Hankinson, Susan E and Hass, Merli and Hayward, Caroline and Heath, Andrew C and Hofman, Albert and Ingelsson, Erik and Janssens, A Cecile J W and Johnson, Andrew D and Karasik, David and Kardia, Sharon L R and Keyzer, Jules and Kiel, Douglas P and Kolcic, Ivana and Kutalik, Zolt{\'a}n and Lahti, Jari and Lai, Sandra and Laisk, Triin and Laven, Joop S E and Lawlor, Debbie A and Liu, Jianjun and Lopez, Lorna M and Louwers, Yvonne V and Magnusson, Patrik K E and Marongiu, Mara and Martin, Nicholas G and Klaric, Irena Martinovic and Masciullo, Corrado and McKnight, Barbara and Medland, Sarah E and Melzer, David and Mooser, Vincent and Navarro, Pau and Newman, Anne B and Nyholt, Dale R and Onland-Moret, N Charlotte and Palotie, Aarno and Par{\'e}, Guillaume and Parker, Alex N and Pedersen, Nancy L and Peeters, Petra H M and Pistis, Giorgio and Plump, Andrew S and Polasek, Ozren and Pop, Victor J M and Psaty, Bruce M and R{\"a}ikk{\"o}nen, Katri and Rehnberg, Emil and Rotter, Jerome I and Rudan, Igor and Sala, Cinzia and Salumets, Andres and Scuteri, Angelo and Singleton, Andrew and Smith, Jennifer A and Snieder, Harold and Soranzo, Nicole and Stacey, Simon N and Starr, John M and Stathopoulou, Maria G and Stirrups, Kathleen and Stolk, Ronald P and Styrkarsdottir, Unnur and Sun, Yan V and Tenesa, Albert and Thorand, Barbara and Toniolo, Daniela and Tryggvadottir, Laufey and Tsui, Kim and Ulivi, Sheila and van Dam, Rob M and van der Schouw, Yvonne T and van Gils, Carla H and van Nierop, Peter and Vink, Jacqueline M and Visscher, Peter M and Voorhuis, Marlies and Waeber, G{\'e}rard and Wallaschofski, Henri and Wichmann, H Erich and Widen, Elisabeth and Wijnands-van Gent, Colette J M and Willemsen, Gonneke and Wilson, James F and Wolffenbuttel, Bruce H R and Wright, Alan F and Yerges-Armstrong, Laura M and Zemunik, Tatijana and Zgaga, Lina and Zillikens, M Carola and Zygmunt, Marek and Arnold, Alice M and Boomsma, Dorret I and Buring, Julie E and Crisponi, Laura and Demerath, Ellen W and Gudnason, Vilmundur and Harris, Tamara B and Hu, Frank B and Hunter, David J and Launer, Lenore J and Metspalu, Andres and Montgomery, Grant W and Oostra, Ben A and Ridker, Paul M and Sanna, Serena and Schlessinger, David and Spector, Tim D and Stefansson, Kari and Streeten, Elizabeth A and Thorsteinsdottir, Unnur and Uda, Manuela and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and V{\"o}lzke, Henry and Murray, Anna and Murabito, Joanne M and Visser, Jenny A and Lunetta, Kathryn L} } @article {6827, title = {Association of functional polymorphism rs2231142 (Q141K) in the ABCG2 gene with serum uric acid and gout in 4 US populations: the PAGE Study.}, journal = {Am J Epidemiol}, volume = {177}, year = {2013}, month = {2013 May 1}, pages = {923-32}, abstract = {

A loss-of-function mutation (Q141K, rs2231142) in the ATP-binding cassette, subfamily G, member 2 gene (ABCG2) has been shown to be associated with serum uric acid levels and gout in Asians, Europeans, and European and African Americans; however, less is known about these associations in other populations. Rs2231142 was genotyped in 22,734 European Americans, 9,720 African Americans, 3,849 Mexican Americans, and 3,550 American Indians in the Population Architecture using Genomics and Epidemiology (PAGE) Study (2008-2012). Rs2231142 was significantly associated with serum uric acid levels (P = 2.37 {\texttimes} 10(-67), P = 3.98 {\texttimes} 10(-5), P = 6.97 {\texttimes} 10(-9), and P = 5.33 {\texttimes} 10(-4) in European Americans, African Americans, Mexican Americans, and American Indians, respectively) and gout (P = 2.83 {\texttimes} 10(-10), P = 0.01, and P = 0.01 in European Americans, African Americans, and Mexican Americans, respectively). Overall, the T allele was associated with a 0.24-mg/dL increase in serum uric acid level (P = 1.37 {\texttimes} 10(-80)) and a 1.75-fold increase in the odds of gout (P = 1.09 {\texttimes} 10(-12)). The association between rs2231142 and serum uric acid was significantly stronger in men, postmenopausal women, and hormone therapy users compared with their counterparts. The association with gout was also significantly stronger in men than in women. These results highlight a possible role of sex hormones in the regulation of ABCG2 urate transporter and its potential implications for the prevention, diagnosis, and treatment of hyperuricemia and gout.

}, keywords = {Adult, African Americans, Age Distribution, ATP-Binding Cassette Transporters, Comorbidity, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genetics, Population, Genome-Wide Association Study, Gout, Hormone Replacement Therapy, Humans, Indians, North American, Male, Mexican Americans, Middle Aged, Neoplasm Proteins, Polymorphism, Genetic, Postmenopause, Sex Distribution, United States, Uric Acid}, issn = {1476-6256}, doi = {10.1093/aje/kws330}, author = {Zhang, Lili and Spencer, Kylee L and Voruganti, V Saroja and Jorgensen, Neal W and Fornage, Myriam and Best, Lyle G and Brown-Gentry, Kristin D and Cole, Shelley A and Crawford, Dana C and Deelman, Ewa and Franceschini, Nora and Gaffo, Angelo L and Glenn, Kimberly R and Heiss, Gerardo and Jenny, Nancy S and K{\"o}ttgen, Anna and Li, Qiong and Liu, Kiang and Matise, Tara C and North, Kari E and Umans, Jason G and Kao, W H Linda} } @article {6289, title = {Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study.}, journal = {PLoS Biol}, volume = {11}, year = {2013}, month = {2013 Sep}, pages = {e1001661}, abstract = {

The vast majority of genome-wide association study (GWAS) findings reported to date are from populations with European Ancestry (EA), and it is not yet clear how broadly the genetic associations described will generalize to populations of diverse ancestry. The Population Architecture Using Genomics and Epidemiology (PAGE) study is a consortium of multi-ancestry, population-based studies formed with the objective of refining our understanding of the genetic architecture of common traits emerging from GWAS. In the present analysis of five common diseases and traits, including body mass index, type 2 diabetes, and lipid levels, we compare direction and magnitude of effects for GWAS-identified variants in multiple non-EA populations against EA findings. We demonstrate that, in all populations analyzed, a significant majority of GWAS-identified variants have allelic associations in the same direction as in EA, with none showing a statistically significant effect in the opposite direction, after adjustment for multiple testing. However, 25\% of tagSNPs identified in EA GWAS have significantly different effect sizes in at least one non-EA population, and these differential effects were most frequent in African Americans where all differential effects were diluted toward the null. We demonstrate that differential LD between tagSNPs and functional variants within populations contributes significantly to dilute effect sizes in this population. Although most variants identified from GWAS in EA populations generalize to all non-EA populations assessed, genetic models derived from GWAS findings in EA may generate spurious results in non-EA populations due to differential effect sizes. Regardless of the origin of the differential effects, caution should be exercised in applying any genetic risk prediction model based on tagSNPs outside of the ancestry group in which it was derived. Models based directly on functional variation may generalize more robustly, but the identification of functional variants remains challenging.

}, keywords = {African Americans, Asian Americans, Body Mass Index, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Hispanic Americans, Humans, Indians, North American, Lipids, Metagenomics, Oceanic Ancestry Group, Polymorphism, Single Nucleotide}, issn = {1545-7885}, doi = {10.1371/journal.pbio.1001661}, author = {Carlson, Christopher S and Matise, Tara C and North, Kari E and Haiman, Christopher A and Fesinmeyer, Megan D and Buyske, Steven and Schumacher, Fredrick R and Peters, Ulrike and Franceschini, Nora and Ritchie, Marylyn D and Duggan, David J and Spencer, Kylee L and Dumitrescu, Logan and Eaton, Charles B and Thomas, Fridtjof and Young, Alicia and Carty, Cara and Heiss, Gerardo and Le Marchand, Lo{\"\i}c and Crawford, Dana C and Hindorff, Lucia A and Kooperberg, Charles L} } @article {6631, title = {Genetic risk factors for BMI and obesity in an ethnically diverse population: results from the population architecture using genomics and epidemiology (PAGE) study.}, journal = {Obesity (Silver Spring)}, volume = {21}, year = {2013}, month = {2013 Apr}, pages = {835-46}, abstract = {

OBJECTIVE: Several genome-wide association studies (GWAS) have demonstrated that common genetic variants contribute to obesity. However, studies of this complex trait have focused on ancestrally European populations, despite the high prevalence of obesity in some minority groups.

DESIGN AND METHODS: As part of the "Population Architecture using Genomics and Epidemiology (PAGE)" Consortium, we investigated the association between 13 GWAS-identified single-nucleotide polymorphisms (SNPs) and BMI and obesity in 69,775 subjects, including 6,149 American Indians, 15,415 African-Americans, 2,438 East Asians, 7,346 Hispanics, 604 Pacific Islanders, and 37,823 European Americans. For the BMI-increasing allele of each SNP, we calculated β coefficients using linear regression (for BMI) and risk estimates using logistic regression (for obesity defined as BMI >= 30) followed by fixed-effects meta-analysis to combine results across PAGE sites. Analyses stratified by racial/ethnic group assumed an additive genetic model and were adjusted for age, sex, and current smoking. We defined "replicating SNPs" (in European Americans) and "generalizing SNPs" (in other racial/ethnic groups) as those associated with an allele frequency-specific increase in BMI.

RESULTS: By this definition, we replicated 9/13 SNP associations (5 out of 8 loci) in European Americans. We also generalized 8/13 SNP associations (5/8 loci) in East Asians, 7/13 (5/8 loci) in African Americans, 6/13 (4/8 loci) in Hispanics, 5/8 in Pacific Islanders (5/8 loci), and 5/9 (4/8 loci) in American Indians.

CONCLUSION: Linkage disequilibrium patterns suggest that tagSNPs selected for European Americans may not adequately tag causal variants in other ancestry groups. Accordingly, fine-mapping in large samples is needed to comprehensively explore these loci in diverse populations.

}, keywords = {Alleles, Body Mass Index, Ethnic Groups, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Metagenomics, Obesity, Phenotype, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1930-739X}, doi = {10.1002/oby.20268}, author = {Fesinmeyer, Megan D and North, Kari E and Ritchie, Marylyn D and Lim, Unhee and Franceschini, Nora and Wilkens, Lynne R and Gross, Myron D and B{\r u}zkov{\'a}, Petra and Glenn, Kimberly and Quibrera, P Miguel and Fernandez-Rhodes, Lindsay and Li, Qiong and Fowke, Jay H and Li, Rongling and Carlson, Christopher S and Prentice, Ross L and Kuller, Lewis H and Manson, JoAnn E and Matise, Tara C and Cole, Shelley A and Chen, Christina T L and Howard, Barbara V and Kolonel, Laurence N and Henderson, Brian E and Monroe, Kristine R and Crawford, Dana C and Hindorff, Lucia A and Buyske, Steven and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Peters, Ulrike} } @article {6290, title = {Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study.}, journal = {BMC Med Genet}, volume = {14}, year = {2013}, month = {2013 Sep 25}, pages = {98}, abstract = {

BACKGROUND: Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S.

METHODS: As part of the {\textquoteright}Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we investigated the association of up to 10 GWAS-identified single nucleotide polymorphisms (SNPs) in 8 genetic regions with glucose or insulin concentrations in up to 36,579 non-diabetic subjects including 23,323 European Americans (EA) and 7,526 African Americans (AA), 3,140 Hispanics, 1,779 American Indians (AI), and 811 Asians. We estimated the association between each SNP and fasting glucose or log-transformed fasting insulin, followed by meta-analysis to combine results across PAGE sites.

RESULTS: Overall, our results show that 9/9 GWAS SNPs are associated with glucose in EA (p = 0.04 to 9 {\texttimes} 10-15), versus 3/9 in AA (p= 0.03 to 6 {\texttimes} 10-5), 3/4 SNPs in Hispanics, 2/4 SNPs in AI, and 1/2 SNPs in Asians. For insulin we observed a significant association with rs780094/GCKR in EA, Hispanics and AI only.

CONCLUSIONS: Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism. Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium.

}, keywords = {Adaptor Proteins, Signal Transducing, Adult, African Americans, Aged, Alleles, Asian Continental Ancestry Group, Blood Glucose, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Female, Gene Frequency, Genetic Loci, Genome-Wide Association Study, Genomics, Hispanic Americans, Humans, Indians, North American, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide, Transcription Factor 7-Like 2 Protein}, issn = {1471-2350}, doi = {10.1186/1471-2350-14-98}, author = {Fesinmeyer, Megan D and Meigs, James B and North, Kari E and Schumacher, Fredrick R and B{\r u}zkov{\'a}, Petra and Franceschini, Nora and Haessler, Jeffrey and Goodloe, Robert and Spencer, Kylee L and Voruganti, Venkata Saroja and Howard, Barbara V and Jackson, Rebecca and Kolonel, Laurence N and Liu, Simin and Manson, JoAnn E and Monroe, Kristine R and Mukamal, Kenneth and Dilks, Holli H and Pendergrass, Sarah A and Nato, Andrew and Wan, Peggy and Wilkens, Lynne R and Le Marchand, Lo{\"\i}c and Ambite, Jose Luis and Buyske, Steven and Florez, Jose C and Crawford, Dana C and Hindorff, Lucia A and Haiman, Christopher A and Peters, Ulrike and Pankow, James S} } @article {6153, title = {A genome-wide association study of early menopause and the combined impact of identified variants.}, journal = {Hum Mol Genet}, volume = {22}, year = {2013}, month = {2013 Apr 01}, pages = {1465-72}, abstract = {

Early menopause (EM) affects up to 10\% of the female population, reducing reproductive lifespan considerably. Currently, it constitutes the leading cause of infertility in the western world, affecting mainly those women who postpone their first pregnancy beyond the age of 30 years. The genetic aetiology of EM is largely unknown in the majority of cases. We have undertaken a meta-analysis of genome-wide association studies (GWASs) in 3493 EM cases and 13 598 controls from 10 independent studies. No novel genetic variants were discovered, but the 17 variants previously associated with normal age at natural menopause as a quantitative trait (QT) were also associated with EM and primary ovarian insufficiency (POI). Thus, EM has a genetic aetiology which overlaps variation in normal age at menopause and is at least partly explained by the additive effects of the same polygenic variants. The combined effect of the common variants captured by the single nucleotide polymorphism arrays was estimated to account for \~{}30\% of the variance in EM. The association between the combined 17 variants and the risk of EM was greater than the best validated non-genetic risk factor, smoking.

}, keywords = {Case-Control Studies, Female, Gene Frequency, Genome-Wide Association Study, Humans, Menopause, Premature, Polymorphism, Single Nucleotide, Primary Ovarian Insufficiency, Quantitative Trait Loci, Risk}, issn = {1460-2083}, doi = {10.1093/hmg/dds551}, author = {Perry, John R B and Corre, Tanguy and Esko, T{\~o}nu and Chasman, Daniel I and Fischer, Krista and Franceschini, Nora and He, Chunyan and Kutalik, Zolt{\'a}n and Mangino, Massimo and Rose, Lynda M and Vernon Smith, Albert and Stolk, Lisette and Sulem, Patrick and Weedon, Michael N and Zhuang, Wei V and Arnold, Alice and Ashworth, Alan and Bergmann, Sven and Buring, Julie E and Burri, Andrea and Chen, Constance and Cornelis, Marilyn C and Couper, David J and Goodarzi, Mark O and Gudnason, Vilmundur and Harris, Tamara and Hofman, Albert and Jones, Michael and Kraft, Peter and Launer, Lenore and Laven, Joop S E and Li, Guo and McKnight, Barbara and Masciullo, Corrado and Milani, Lili and Orr, Nicholas and Psaty, Bruce M and Ridker, Paul M and Rivadeneira, Fernando and Sala, Cinzia and Salumets, Andres and Schoemaker, Minouk and Traglia, Michela and Waeber, G{\'e}rard and Chanock, Stephen J and Demerath, Ellen W and Garcia, Melissa and Hankinson, Susan E and Hu, Frank B and Hunter, David J and Lunetta, Kathryn L and Metspalu, Andres and Montgomery, Grant W and Murabito, Joanne M and Newman, Anne B and Ong, Ken K and Spector, Tim D and Stefansson, Kari and Swerdlow, Anthony J and Thorsteinsdottir, Unnur and van Dam, Rob M and Uitterlinden, Andr{\'e} G and Visser, Jenny A and Vollenweider, Peter and Toniolo, Daniela and Murray, Anna} } @article {6627, title = {Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study.}, journal = {BMC Genet}, volume = {14}, year = {2013}, month = {2013}, pages = {33}, abstract = {

BACKGROUND: High-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels are influenced by both genes and the environment. Genome-wide association studies (GWAS) have identified ~100 common genetic variants associated with HDL-C, LDL-C, and/or TG levels, mostly in populations of European descent, but little is known about the modifiers of these associations. Here, we investigated whether GWAS-identified SNPs for lipid traits exhibited heterogeneity by sex in the Population Architecture using Genomics and Epidemiology (PAGE) study.

RESULTS: A sex-stratified meta-analysis was performed for 49 GWAS-identified SNPs for fasting HDL-C, LDL-C, and ln(TG) levels among adults self-identified as European American (25,013). Heterogeneity by sex was established when phet < 0.001. There was evidence for heterogeneity by sex for two SNPs for ln(TG) in the APOA1/C3/A4/A5/BUD13 gene cluster: rs28927680 (p(het) = 7.4 x 10(-7)) and rs3135506 (p(het) = 4.3 x 10(-4)one SNP in PLTP for HDL levels (rs7679; p(het) = 9.9 x 10(-4)), and one in HMGCR for LDL levels (rs12654264; p(het) = 3.1 x 10(-5)). We replicated heterogeneity by sex in five of seventeen loci previously reported by genome-wide studies (binomial p = 0.0009). We also present results for other racial/ethnic groups in the supplementary materials, to provide a resource for future meta-analyses.

CONCLUSIONS: We provide further evidence for sex-specific effects of SNPs in the APOA1/C3/A4/A5/BUD13 gene cluster, PLTP, and HMGCR on fasting triglyceride levels in European Americans from the PAGE study. Our findings emphasize the need for considering context-specific effects when interpreting genetic associations emerging from GWAS, and also highlight the difficulties in replicating interaction effects across studies and across racial/ethnic groups.

}, keywords = {Female, Genetic Heterogeneity, Genome, Human, Genome-Wide Association Study, Humans, Lipids, Male, Polymorphism, Single Nucleotide, Population Groups}, issn = {1471-2156}, doi = {10.1186/1471-2156-14-33}, author = {Taylor, Kira C and Carty, Cara L and Dumitrescu, Logan and B{\r u}zkov{\'a}, Petra and Cole, Shelley A and Hindorff, Lucia and Schumacher, Fred R and Wilkens, Lynne R and Shohet, Ralph V and Quibrera, P Miguel and Johnson, Karen C and Henderson, Brian E and Haessler, Jeff and Franceschini, Nora and Eaton, Charles B and Duggan, David J and Cochran, Barbara and Cheng, Iona and Carlson, Chris S and Brown-Gentry, Kristin and Anderson, Garnet and Ambite, Jose Luis and Haiman, Christopher and Le Marchand, Lo{\"\i}c and Kooperberg, Charles and Crawford, Dana C and Buyske, Steven and North, Kari E and Fornage, Myriam} } @article {6292, title = {No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population.}, journal = {Hum Genet}, volume = {132}, year = {2013}, month = {2013 Dec}, pages = {1427-31}, abstract = {

Genome-wide association studies (GWAS) have identified many variants that influence high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and/or triglycerides. However, environmental modifiers, such as smoking, of these known genotype-phenotype associations are just recently emerging in the literature. We have tested for interactions between smoking and 49 GWAS-identified variants in over 41,000 racially/ethnically diverse samples with lipid levels from the Population Architecture Using Genomics and Epidemiology (PAGE) study. Despite their biological plausibility, we were unable to detect significant SNP {\texttimes} smoking interactions.

}, keywords = {Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Ethnic Groups, Female, Gene Frequency, Gene-Environment Interaction, Genetics, Population, Genome-Wide Association Study, Humans, Lipid Metabolism, Male, Polymorphism, Single Nucleotide, Prevalence, Smoking, Triglycerides, Young Adult}, issn = {1432-1203}, doi = {10.1007/s00439-013-1375-3}, author = {Dumitrescu, Logan and Carty, Cara L and Franceschini, Nora and Hindorff, Lucia A and Cole, Shelley A and B{\r u}zkov{\'a}, Petra and Schumacher, Fredrick R and Eaton, Charles B and Goodloe, Robert J and Duggan, David J and Haessler, Jeff and Cochran, Barbara and Henderson, Brian E and Cheng, Iona and Johnson, Karen C and Carlson, Chris S and Love, Shelly-Anne and Brown-Gentry, Kristin and Nato, Alejandro Q and Quibrera, Miguel and Shohet, Ralph V and Ambite, Jose Luis and Wilkens, Lynne R and Le Marchand, Lo{\"\i}c and Haiman, Christopher A and Buyske, Steven and Kooperberg, Charles and North, Kari E and Fornage, Myriam and Crawford, Dana C} } @article {6111, title = {Post-genome-wide association study challenges for lipid traits: describing age as a modifier of gene-lipid associations in the Population Architecture using Genomics and Epidemiology (PAGE) study.}, journal = {Ann Hum Genet}, volume = {77}, year = {2013}, month = {2013 Sep}, pages = {416-25}, abstract = {

Numerous common genetic variants that influence plasma high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), and triglyceride distributions have been identified via genome-wide association studies (GWAS). However, whether or not these associations are age-dependent has largely been overlooked. We conducted an association study and meta-analysis in more than 22,000 European Americans between 49 previously identified GWAS variants and the three lipid traits, stratified by age (males: <50 or >=50 years of age; females: pre- or postmenopausal). For each variant, a test of heterogeneity was performed between the two age strata and significant Phet values were used as evidence of age-specific genetic effects. We identified seven associations in females and eight in males that displayed suggestive heterogeneity by age (Phet < 0.05). The association between rs174547 (FADS1) and LDL-C in males displayed the most evidence for heterogeneity between age groups (Phet = 1.74E-03, I(2) = 89.8), with a significant association in older males (P = 1.39E-06) but not younger males (P = 0.99). However, none of the suggestive modifying effects survived adjustment for multiple testing, highlighting the challenges of identifying modifiers of modest SNP-trait associations despite large sample sizes.

}, keywords = {Adult, Aged, European Continental Ancestry Group, Female, Genetic Association Studies, Genome-Wide Association Study, Humans, Lipids, Male, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Risk Factors}, issn = {1469-1809}, doi = {10.1111/ahg.12027}, author = {Dumitrescu, Logan and Carty, Cara L and Franceschini, Nora and Hindorff, Lucia A and Cole, Shelley A and B{\r u}zkov{\'a}, Petra and Schumacher, Fredrick R and Eaton, Charles B and Goodloe, Robert J and Duggan, David J and Haessler, Jeff and Cochran, Barbara and Henderson, Brian E and Cheng, Iona and Johnson, Karen C and Carlson, Chris S and Love, Shelly-Ann and Brown-Gentry, Kristin and Nato, Alejandro Q and Quibrera, Miguel and Anderson, Garnet and Shohet, Ralph V and Ambite, Jose Luis and Wilkens, Lynne R and Marchand, Loic Le and Haiman, Christopher A and Buyske, Steven and Kooperberg, Charles and North, Kari E and Fornage, Myriam and Crawford, Dana C} } @article {6629, title = {Trans-ethnic fine-mapping of lipid loci identifies population-specific signals and allelic heterogeneity that increases the trait variance explained.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013 Mar}, pages = {e1003379}, abstract = {

Genome-wide association studies (GWAS) have identified ~100 loci associated with blood lipid levels, but much of the trait heritability remains unexplained, and at most loci the identities of the trait-influencing variants remain unknown. We conducted a trans-ethnic fine-mapping study at 18, 22, and 18 GWAS loci on the Metabochip for their association with triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), respectively, in individuals of African American (n = 6,832), East Asian (n = 9,449), and European (n = 10,829) ancestry. We aimed to identify the variants with strongest association at each locus, identify additional and population-specific signals, refine association signals, and assess the relative significance of previously described functional variants. Among the 58 loci, 33 exhibited evidence of association at P<1 {\texttimes} 10(-4) in at least one ancestry group. Sequential conditional analyses revealed that ten, nine, and four loci in African Americans, Europeans, and East Asians, respectively, exhibited two or more signals. At these loci, accounting for all signals led to a 1.3- to 1.8-fold increase in the explained phenotypic variance compared to the strongest signals. Distinct signals across ancestry groups were identified at PCSK9 and APOA5. Trans-ethnic analyses narrowed the signals to smaller sets of variants at GCKR, PPP1R3B, ABO, LCAT, and ABCA1. Of 27 variants reported previously to have functional effects, 74\% exhibited the strongest association at the respective signal. In conclusion, trans-ethnic high-density genotyping and analysis confirm the presence of allelic heterogeneity, allow the identification of population-specific variants, and limit the number of candidate SNPs for functional studies.

}, keywords = {African Americans, Apolipoproteins A, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Genome-Wide Association Study, Humans, Lipoproteins, HDL, Lipoproteins, LDL, Proprotein Convertases, Serine Endopeptidases, Triglycerides}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003379}, author = {Wu, Ying and Waite, Lindsay L and Jackson, Anne U and Sheu, Wayne H-H and Buyske, Steven and Absher, Devin and Arnett, Donna K and Boerwinkle, Eric and Bonnycastle, Lori L and Carty, Cara L and Cheng, Iona and Cochran, Barbara and Croteau-Chonka, Damien C and Dumitrescu, Logan and Eaton, Charles B and Franceschini, Nora and Guo, Xiuqing and Henderson, Brian E and Hindorff, Lucia A and Kim, Eric and Kinnunen, Leena and Komulainen, Pirjo and Lee, Wen-Jane and Le Marchand, Lo{\"\i}c and Lin, Yi and Lindstr{\"o}m, Jaana and Lingaas-Holmen, Oddgeir and Mitchell, Sabrina L and Narisu, Narisu and Robinson, Jennifer G and Schumacher, Fred and Stan{\v c}{\'a}kov{\'a}, Alena and Sundvall, Jouko and Sung, Yun-Ju and Swift, Amy J and Wang, Wen-Chang and Wilkens, Lynne and Wilsgaard, Tom and Young, Alicia M and Adair, Linda S and Ballantyne, Christie M and B{\r u}zkov{\'a}, Petra and Chakravarti, Aravinda and Collins, Francis S and Duggan, David and Feranil, Alan B and Ho, Low-Tone and Hung, Yi-Jen and Hunt, Steven C and Hveem, Kristian and Juang, Jyh-Ming J and Kes{\"a}niemi, Antero Y and Kuusisto, Johanna and Laakso, Markku and Lakka, Timo A and Lee, I-Te and Leppert, Mark F and Matise, Tara C and Moilanen, Leena and Nj{\o}lstad, Inger and Peters, Ulrike and Quertermous, Thomas and Rauramaa, Rainer and Rotter, Jerome I and Saramies, Jouko and Tuomilehto, Jaakko and Uusitupa, Matti and Wang, Tzung-Dau and Boehnke, Michael and Haiman, Christopher A and Chen, Yii-der I and Kooperberg, Charles and Assimes, Themistocles L and Crawford, Dana C and Hsiung, Chao A and North, Kari E and Mohlke, Karen L} } @article {6580, title = {ADAM19 and HTR4 variants and pulmonary function: 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 = {350-8}, abstract = {

BACKGROUND: The pulmonary function measures of forced expiratory volume in 1 second (FEV1) and its ratio to forced vital capacity (FVC) are used in the diagnosis and monitoring of lung diseases and predict cardiovascular mortality in the general population. Genome-wide association studies (GWASs) have identified numerous loci associated with FEV1 and FEV1/FVC, but the causal variants remain uncertain. We hypothesized that novel or rare variants poorly tagged by GWASs may explain the significant associations between FEV1/FVC and 2 genes: ADAM19 and HTR4.

METHODS AND RESULTS: We sequenced ADAM19 and its promoter region along with the ≈21-kb portion of HTR4 harboring GWAS single-nucleotide polymorphisms for pulmonary function and analyzed associations with FEV1/FVC among 3983 participants of European ancestry from Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Meta-analysis of common variants in each region identified statistically significant associations (316 tests; P<1.58{\texttimes}10(-4)) with FEV1/FVC for 14 ADAM19 single-nucleotide polymorphisms and 24 HTR4 single-nucleotide polymorphisms. After conditioning on the sentinel GWASs hit in each gene (ADAM19 rs1422795, minor allele frequency=0.33 and HTR4 rs11168048, minor allele frequency=0.40], 1 single-nucleotide polymorphism remained statistically significant (ADAM19 rs13155908, minor allele frequency=0.12; P=1.56{\texttimes}10(-4)). Analysis of rare variants (minor allele frequency <1\%) using sequence kernel association test did not identify associations with either region.

CONCLUSIONS: Sequencing identified 1 common variant associated with FEV1/FVC independent of the sentinel ADAM19 GWAS hit and supports the original HTR4 GWAS findings. Rare variants do not seem to underlie GWAS associations with pulmonary function for common variants in ADAM19 and HTR4.

}, keywords = {ADAM Proteins, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Diseases, Humans, Lung, Male, Middle Aged, Polymorphism, Single Nucleotide, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000066}, author = {London, Stephanie J and Gao, Wei and Gharib, Sina A and Hancock, Dana B and Wilk, Jemma B and House, John S and Gibbs, Richard A and Muzny, Donna M and Lumley, Thomas and Franceschini, Nora and North, Kari E and Psaty, Bruce M and Kovar, Christie L and Coresh, Josef and Zhou, Yanhua and Heckbert, Susan R and Brody, Jennifer A and Morrison, Alanna C and Dupuis, Jos{\'e}e} } @article {6690, title = {Genetic diversity is a predictor of mortality in humans.}, journal = {BMC Genet}, volume = {15}, year = {2014}, month = {2014}, pages = {159}, abstract = {

BACKGROUND: It has been well-established, both by population genetics theory and direct observation in many organisms, that increased genetic diversity provides a survival advantage. However, given the limitations of both sample size and genome-wide metrics, this hypothesis has not been comprehensively tested in human populations. Moreover, the presence of numerous segregating small effect alleles that influence traits that directly impact health directly raises the question as to whether global measures of genomic variation are themselves associated with human health and disease.

RESULTS: We performed a meta-analysis of 17 cohorts followed prospectively, with a combined sample size of 46,716 individuals, including a total of 15,234 deaths. We find a significant association between increased heterozygosity and survival (P = 0.03). We estimate that within a single population, every standard deviation of heterozygosity an individual has over the mean decreases that person{\textquoteright}s risk of death by 1.57\%.

CONCLUSIONS: This effect was consistent between European and African ancestry cohorts, men and women, and major causes of death (cancer and cardiovascular disease), demonstrating the broad positive impact of genomic diversity on human survival.

}, keywords = {Genome-Wide Association Study, Heterozygote, Humans, Mortality, Polymorphism, Single Nucleotide, Proportional Hazards Models}, issn = {1471-2156}, doi = {10.1186/s12863-014-0159-7}, author = {Bihlmeyer, Nathan A and Brody, Jennifer A and Smith, Albert Vernon and Lunetta, Kathryn L and Nalls, Mike and Smith, Jennifer A and Tanaka, Toshiko and Davies, Gail and Yu, Lei and Mirza, Saira Saeed and Teumer, Alexander and Coresh, Josef and Pankow, James S and Franceschini, Nora and Scaria, Anish and Oshima, Junko and Psaty, Bruce M and Gudnason, Vilmundur and Eiriksdottir, Gudny and Harris, Tamara B and Li, Hanyue and Karasik, David and Kiel, Douglas P and Garcia, Melissa and Liu, Yongmei and Faul, Jessica D and Kardia, Sharon Lr and Zhao, Wei and Ferrucci, Luigi and Allerhand, Michael and Liewald, David C and Redmond, Paul and Starr, John M and De Jager, Philip L and Evans, Denis A and Direk, Nese and Ikram, Mohammed Arfan and Uitterlinden, Andre and Homuth, Georg and Lorbeer, Roberto and Grabe, Hans J and Launer, Lenore and Murabito, Joanne M and Singleton, Andrew B and Weir, David R and Bandinelli, Stefania and Deary, Ian J and Bennett, David A and Tiemeier, Henning and Kocher, Thomas and Lumley, Thomas and Arking, Dan E} } @article {6582, title = {Genome-wide association analysis identifies six new loci associated with forced vital capacity.}, journal = {Nat Genet}, volume = {46}, year = {2014}, month = {2014 Jul}, pages = {669-77}, abstract = {

Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 {\texttimes} 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.

}, keywords = {Cohort Studies, Databases, Genetic, Follow-Up Studies, Forced Expiratory Volume, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung Diseases, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Respiratory Function Tests, Spirometry, Vital Capacity}, issn = {1546-1718}, doi = {10.1038/ng.3011}, author = {Loth, Daan W and Soler Artigas, Maria and Gharib, Sina A and Wain, Louise V and Franceschini, Nora and Koch, Beate and Pottinger, Tess D and Smith, Albert Vernon and Duan, Qing and Oldmeadow, Chris and Lee, Mi Kyeong and Strachan, David P and James, Alan L and Huffman, Jennifer E and Vitart, Veronique and Ramasamy, Adaikalavan and Wareham, Nicholas J and Kaprio, Jaakko and Wang, Xin-Qun and Trochet, Holly and K{\"a}h{\"o}nen, Mika and Flexeder, Claudia and Albrecht, Eva and Lopez, Lorna M and de Jong, Kim and Thyagarajan, Bharat and Alves, Alexessander Couto and Enroth, Stefan and Omenaas, Ernst and Joshi, Peter K and Fall, Tove and Vi{\~n}uela, Ana and Launer, Lenore J and Loehr, Laura R and Fornage, Myriam and Li, Guo and Wilk, Jemma B and Tang, Wenbo and Manichaikul, Ani and Lahousse, Lies and Harris, Tamara B and North, Kari E and Rudnicka, Alicja R and Hui, Jennie and Gu, Xiangjun and Lumley, Thomas and Wright, Alan F and Hastie, Nicholas D and Campbell, Susan and Kumar, Rajesh and Pin, Isabelle and Scott, Robert A and Pietil{\"a}inen, Kirsi H and Surakka, Ida and Liu, Yongmei and Holliday, Elizabeth G and Schulz, Holger and Heinrich, Joachim and Davies, Gail and Vonk, Judith M and Wojczynski, Mary and Pouta, Anneli and Johansson, Asa and Wild, Sarah H and Ingelsson, Erik and Rivadeneira, Fernando and V{\"o}lzke, Henry and Hysi, Pirro G and Eiriksdottir, Gudny and Morrison, Alanna C and Rotter, Jerome I and Gao, Wei and Postma, Dirkje S and White, Wendy B and Rich, Stephen S and Hofman, Albert and Aspelund, Thor and Couper, David and Smith, Lewis J and Psaty, Bruce M and Lohman, Kurt and Burchard, Esteban G and Uitterlinden, Andr{\'e} G and Garcia, Melissa and Joubert, Bonnie R and McArdle, Wendy L and Musk, A Bill and Hansel, Nadia and Heckbert, Susan R and Zgaga, Lina and van Meurs, Joyce B J and Navarro, Pau and Rudan, Igor and Oh, Yeon-Mok and Redline, Susan and Jarvis, Deborah L and Zhao, Jing Hua and Rantanen, Taina and O{\textquoteright}Connor, George T and Ripatti, Samuli and Scott, Rodney J and Karrasch, Stefan and Grallert, Harald and Gaddis, Nathan C and Starr, John M and Wijmenga, Cisca and Minster, Ryan L and Lederer, David J and Pekkanen, Juha and Gyllensten, Ulf and Campbell, Harry and Morris, Andrew P and Gl{\"a}ser, Sven and Hammond, Christopher J and Burkart, Kristin M and Beilby, John and Kritchevsky, Stephen B and Gudnason, Vilmundur and Hancock, Dana B and Williams, O Dale and Polasek, Ozren and Zemunik, Tatijana and Kolcic, Ivana and Petrini, Marcy F and Wjst, Matthias and Kim, Woo Jin and Porteous, David J and Scotland, Generation and Smith, Blair H and Viljanen, Anne and Heli{\"o}vaara, Markku and Attia, John R and Sayers, Ian and Hampel, Regina and Gieger, Christian and Deary, Ian J and Boezen, H Marike and Newman, Anne and Jarvelin, Marjo-Riitta and Wilson, James F and Lind, Lars and Stricker, Bruno H and Teumer, Alexander and Spector, Timothy D and Mel{\'e}n, Erik and Peters, Marjolein J and Lange, Leslie A and Barr, R Graham and Bracke, Ken R and Verhamme, Fien M and Sung, Joohon and Hiemstra, Pieter S and Cassano, Patricia A and Sood, Akshay and Hayward, Caroline and Dupuis, Jos{\'e}e and Hall, Ian P and Brusselle, Guy G and Tobin, Martin D and London, Stephanie J} } @article {6604, title = {Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e100776}, abstract = {

BACKGROUND: Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function.

METHODS: We performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis.

RESULTS: The overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P  =  5.71 {\texttimes} 10(-7)). In addition, meta-analysis using the five cohorts with >=3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P  =  2.18 {\texttimes} 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively.

CONCLUSIONS: In this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function.

}, keywords = {Adult, Chromosomes, Human, Pair 11, Female, Gene Expression Regulation, Genetic Loci, Genome-Wide Association Study, Humans, Longitudinal Studies, Male, Respiration}, issn = {1932-6203}, doi = {10.1371/journal.pone.0100776}, author = {Tang, Wenbo and Kowgier, Matthew and Loth, Daan W and Soler Artigas, Maria and Joubert, Bonnie R and Hodge, Emily and Gharib, Sina A and Smith, Albert V and Ruczinski, Ingo and Gudnason, Vilmundur and Mathias, Rasika A and Harris, Tamara B and Hansel, Nadia N and Launer, Lenore J and Barnes, Kathleen C and Hansen, Joyanna G and Albrecht, Eva and Aldrich, Melinda C and Allerhand, Michael and Barr, R Graham and Brusselle, Guy G and Couper, David J and Curjuric, Ivan and Davies, Gail and Deary, Ian J and Dupuis, Jos{\'e}e and Fall, Tove and Foy, Millennia and Franceschini, Nora and Gao, Wei and Gl{\"a}ser, Sven and Gu, Xiangjun and Hancock, Dana B and Heinrich, Joachim and Hofman, Albert and Imboden, Medea and Ingelsson, Erik and James, Alan and Karrasch, Stefan and Koch, Beate and Kritchevsky, Stephen B and Kumar, Ashish and Lahousse, Lies and Li, Guo and Lind, Lars and Lindgren, Cecilia and Liu, Yongmei and Lohman, Kurt and Lumley, Thomas and McArdle, Wendy L and Meibohm, Bernd and Morris, Andrew P and Morrison, Alanna C and Musk, Bill and North, Kari E and Palmer, Lyle J and Probst-Hensch, Nicole M and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome I and Schulz, Holger and Smith, Lewis J and Sood, Akshay and Starr, John M and Strachan, David P and Teumer, Alexander and Uitterlinden, Andr{\'e} G and V{\"o}lzke, Henry and Voorman, Arend and Wain, Louise V and Wells, Martin T and Wilk, Jemma B and Williams, O Dale and Heckbert, Susan R and Stricker, Bruno H and London, Stephanie J and Fornage, Myriam and Tobin, Martin D and O{\textquoteright}Connor, George T and Hall, Ian P and Cassano, Patricia A} } @article {6552, title = {Meta-analysis of loci associated with age at natural menopause in African-American women.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Jun 15}, pages = {3327-42}, abstract = {

Age at menopause marks the end of a woman{\textquoteright}s reproductive life and its timing associates with risks for cancer, cardiovascular and bone disorders. GWAS and candidate gene studies conducted in women of European ancestry have identified 27 loci associated with age at menopause. The relevance of these loci to women of African ancestry has not been previously studied. We therefore sought to uncover additional menopause loci and investigate the relevance of European menopause loci by performing a GWAS meta-analysis in 6510 women with African ancestry derived from 11 studies across the USA. We did not identify any additional loci significantly associated with age at menopause in African Americans. We replicated the associations between six loci and age at menopause (P-value < 0.05): AMHR2, RHBLD2, PRIM1, HK3/UMC1, BRSK1/TMEM150B and MCM8. In addition, associations of 14 loci are directionally consistent with previous reports. We provide evidence that genetic variants influencing reproductive traits identified in European populations are also important in women of African ancestry residing in USA.

}, keywords = {African Americans, Age Factors, Chromosomes, Human, European Continental Ancestry Group, Female, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Menopause, United States}, issn = {1460-2083}, doi = {10.1093/hmg/ddu041}, author = {Chen, Christina T L and Liu, Ching-Ti and Chen, Gary K and Andrews, Jeanette S and Arnold, Alice M and Dreyfus, Jill and Franceschini, Nora and Garcia, Melissa E and Kerr, Kathleen F and Li, Guo and Lohman, Kurt K and Musani, Solomon K and Nalls, Michael A and Raffel, Leslie J and Smith, Jennifer and Ambrosone, Christine B and Bandera, Elisa V and Bernstein, Leslie and Britton, Angela and Brzyski, Robert G and Cappola, Anne and Carlson, Christopher S and Couper, David and Deming, Sandra L and Goodarzi, Mark O and Heiss, Gerardo and John, Esther M and Lu, Xiaoning and Le Marchand, Lo{\"\i}c and Marciante, Kristin and McKnight, Barbara and Millikan, Robert and Nock, Nora L and Olshan, Andrew F and Press, Michael F and Vaiyda, Dhananjay and Woods, Nancy F and Taylor, Herman A and Zhao, Wei and Zheng, Wei and Evans, Michele K and Harris, Tamara B and Henderson, Brian E and Kardia, Sharon L R and Kooperberg, Charles and Liu, Yongmei and Mosley, Thomas H and Psaty, Bruce and Wellons, Melissa and Windham, Beverly G and Zonderman, Alan B and Cupples, L Adrienne and Demerath, Ellen W and Haiman, Christopher and Murabito, Joanne M and Rajkovic, Aleksandar} } @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 {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 {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 {7572, title = {Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.}, journal = {PLoS Genet}, volume = {13}, year = {2017}, month = {2017 May}, pages = {e1006728}, abstract = {

Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25{\texttimes}10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.

}, keywords = {African Americans, Animals, Basic Helix-Loop-Helix Transcription Factors, Blood Pressure, Cadherins, Case-Control Studies, Female, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Male, Membrane Proteins, Mice, Multifactorial Inheritance, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006728}, author = {Liang, Jingjing and Le, Thu H and Edwards, Digna R Velez and Tayo, Bamidele O and Gaulton, Kyle J and Smith, Jennifer A and Lu, Yingchang and Jensen, Richard A and Chen, Guanjie and Yanek, Lisa R and Schwander, Karen and Tajuddin, Salman M and Sofer, Tamar and Kim, Wonji and Kayima, James and McKenzie, Colin A and Fox, Ervin and Nalls, Michael A and Young, J Hunter and Sun, Yan V and Lane, Jacqueline M and Cechova, Sylvia and Zhou, Jie and Tang, Hua and Fornage, Myriam and Musani, Solomon K and Wang, Heming and Lee, Juyoung and Adeyemo, Adebowale and Dreisbach, Albert W and Forrester, Terrence and Chu, Pei-Lun and Cappola, Anne and Evans, Michele K and Morrison, Alanna C and Martin, Lisa W and Wiggins, Kerri L and Hui, Qin and Zhao, Wei and Jackson, Rebecca D and Ware, Erin B and Faul, Jessica D and Reiner, Alex P and Bray, Michael and Denny, Joshua C and Mosley, Thomas H and Palmas, Walter and Guo, Xiuqing and Papanicolaou, George J and Penman, Alan D and Polak, Joseph F and Rice, Kenneth and Taylor, Ken D and Boerwinkle, Eric and Bottinger, Erwin P and Liu, Kiang and Risch, Neil and Hunt, Steven C and Kooperberg, Charles and Zonderman, Alan B and Laurie, Cathy C and Becker, Diane M and Cai, Jianwen and Loos, Ruth J F and Psaty, Bruce M and Weir, David R and Kardia, Sharon L R and Arnett, Donna K and Won, Sungho and Edwards, Todd L and Redline, Susan and Cooper, Richard S and Rao, D C and Rotter, Jerome I and Rotimi, Charles and Levy, Daniel and Chakravarti, Aravinda and Zhu, Xiaofeng and Franceschini, Nora} } @article {7913, title = {GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 12 03}, pages = {5141}, abstract = {

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

}, keywords = {ADAMTS9 Protein, Amino Acid Oxidoreductases, Carotid Intima-Media Thickness, Coronary Disease, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Lod Score, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-018-07340-5}, author = {Franceschini, Nora and Giambartolomei, Claudia and de Vries, Paul S and Finan, Chris and Bis, Joshua C and Huntley, Rachael P and Lovering, Ruth C and Tajuddin, Salman M and Winkler, Thomas W and Graff, Misa and Kavousi, Maryam and Dale, Caroline and Smith, Albert V and Hofer, Edith and van Leeuwen, Elisabeth M and Nolte, Ilja M and Lu, Lingyi and Scholz, Markus and Sargurupremraj, Muralidharan and Pitk{\"a}nen, Niina and Franz{\'e}n, Oscar and Joshi, Peter K and Noordam, Raymond and Marioni, Riccardo E and Hwang, Shih-Jen and Musani, Solomon K and Schminke, Ulf and Palmas, Walter and Isaacs, Aaron and Correa, Adolfo and Zonderman, Alan B and Hofman, Albert and Teumer, Alexander and Cox, Amanda J and Uitterlinden, Andr{\'e} G and Wong, Andrew and Smit, Andries J and Newman, Anne B and Britton, Annie and Ruusalepp, Arno and Sennblad, Bengt and Hedblad, Bo and Pasaniuc, Bogdan and Penninx, Brenda W and Langefeld, Carl D and Wassel, Christina L and Tzourio, Christophe and Fava, Cristiano and Baldassarre, Damiano and O{\textquoteright}Leary, Daniel H and Teupser, Daniel and Kuh, Diana and Tremoli, Elena and Mannarino, Elmo and Grossi, Enzo and Boerwinkle, Eric and Schadt, Eric E and Ingelsson, Erik and Veglia, Fabrizio and Rivadeneira, Fernando and Beutner, Frank and Chauhan, Ganesh and Heiss, Gerardo and Snieder, Harold and Campbell, Harry and V{\"o}lzke, Henry and Markus, Hugh S and Deary, Ian J and Jukema, J Wouter and de Graaf, Jacqueline and Price, Jacqueline and Pott, Janne and Hopewell, Jemma C and Liang, Jingjing and Thiery, Joachim and Engmann, Jorgen and Gertow, Karl and Rice, Kenneth and Taylor, Kent D and Dhana, Klodian and Kiemeney, Lambertus A L M and Lind, Lars and Raffield, Laura M and Launer, Lenore J and Holdt, Lesca M and D{\"o}rr, Marcus and Dichgans, Martin and Traylor, Matthew and Sitzer, Matthias and Kumari, Meena and Kivimaki, Mika and Nalls, Mike A and Melander, Olle and Raitakari, Olli and Franco, Oscar H and Rueda-Ochoa, Oscar L and Roussos, Panos and Whincup, Peter H and Amouyel, Philippe and Giral, Philippe and Anugu, Pramod and Wong, Quenna and Malik, Rainer and Rauramaa, Rainer and Burkhardt, Ralph and Hardy, Rebecca and Schmidt, Reinhold and de Mutsert, Ren{\'e}e and Morris, Richard W and Strawbridge, Rona J and Wannamethee, S Goya and H{\"a}gg, Sara and Shah, Sonia and McLachlan, Stela and Trompet, Stella and Seshadri, Sudha and Kurl, Sudhir and Heckbert, Susan R and Ring, Susan and Harris, Tamara B and Lehtim{\"a}ki, Terho and Galesloot, Tessel E and Shah, Tina and de Faire, Ulf and Plagnol, Vincent and Rosamond, Wayne D and Post, Wendy and Zhu, Xiaofeng and Zhang, Xiaoling and Guo, Xiuqing and Saba, Yasaman and Dehghan, Abbas and Seldenrijk, Adrie and Morrison, Alanna C and Hamsten, Anders and Psaty, Bruce M and van Duijn, Cornelia M and Lawlor, Deborah A and Mook-Kanamori, Dennis O and Bowden, Donald W and Schmidt, Helena and Wilson, James F and Wilson, James G and Rotter, Jerome I and Wardlaw, Joanna M and Deanfield, John and Halcox, Julian and Lyytik{\"a}inen, Leo-Pekka and Loeffler, Markus and Evans, Michele K and Debette, Stephanie and Humphries, Steve E and V{\"o}lker, Uwe and Gudnason, Vilmundur and Hingorani, Aroon D and Bj{\"o}rkegren, Johan L M and Casas, Juan P and O{\textquoteright}Donnell, Christopher J} } @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 {9253, title = {A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies.}, journal = {Nat Methods}, volume = {19}, year = {2022}, month = {2022 Dec}, pages = {1599-1611}, abstract = {

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

}, keywords = {Genetic Variation, Genome, Genome-Wide Association Study, Humans, Phenotype, Whole Genome Sequencing}, issn = {1548-7105}, doi = {10.1038/s41592-022-01640-x}, author = {Li, Zilin and Li, Xihao and Zhou, Hufeng and Gaynor, Sheila M and Selvaraj, Margaret Sunitha and Arapoglou, Theodore and Quick, Corbin and Liu, Yaowu and Chen, Han and Sun, Ryan and Dey, Rounak and Arnett, Donna K and Auer, Paul L and Bielak, Lawrence F and Bis, Joshua C and Blackwell, Thomas W and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Conomos, Matthew P and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and de Vries, Paul S and Duggirala, Ravindranath and Franceschini, Nora and Freedman, Barry I and G{\"o}ring, Harald H H and Guo, Xiuqing and Kalyani, Rita R and Kooperberg, Charles and Kral, Brian G and Lange, Leslie A and Lin, Bridget M and Manichaikul, Ani and Manning, Alisa K and Martin, Lisa W and Mathias, Rasika A and Meigs, James B and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Rice, Kenneth M and Rich, Stephen S and Smith, Jennifer A and Taylor, Kent D and Taub, Margaret A and Vasan, Ramachandran S and Weeks, Daniel E and Wilson, James G and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Willer, Cristen J and Natarajan, Pradeep and Peloso, Gina M and Lin, Xihong} } @article {9100, title = {A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood.}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {2022 Jun 21}, pages = {3549}, abstract = {

In a multi-stage analysis of 52,436 individuals aged 17-90 across diverse cohorts and biobanks, we train, test, and evaluate a polygenic risk score (PRS) for hypertension risk and progression. The PRS is trained using genome-wide association studies (GWAS) for systolic, diastolic blood pressure, and hypertension, respectively. For each trait, PRS is selected by optimizing the coefficient of variation (CV) across estimated effect sizes from multiple potential PRS using the same GWAS, after which the 3 trait-specific PRSs are combined via an unweighted sum called "PRSsum", forming the HTN-PRS. The HTN-PRS is associated with both prevalent and incident hypertension at 4-6 years of follow up. This association is further confirmed in age-stratified analysis. In an independent biobank of 40,201 individuals, the HTN-PRS is confirmed to be predictive of increased risk for coronary artery disease, ischemic stroke, type 2 diabetes, and chronic kidney disease.

}, keywords = {Adult, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Multifactorial Inheritance, Prevalence, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-022-31080-2}, author = {Kurniansyah, Nuzulul and Goodman, Matthew O and Kelly, Tanika N and Elfassy, Tali and Wiggins, Kerri L and Bis, Joshua C and Guo, Xiuqing and Palmas, Walter and Taylor, Kent D and Lin, Henry J and Haessler, Jeffrey and Gao, Yan and Shimbo, Daichi and Smith, Jennifer A and Yu, Bing and Feofanova, Elena V and Smit, Roelof A J and Wang, Zhe and Hwang, Shih-Jen and Liu, Simin and Wassertheil-Smoller, Sylvia and Manson, JoAnn E and Lloyd-Jones, Donald M and Rich, Stephen S and Loos, Ruth J F and Redline, Susan and Correa, Adolfo and Kooperberg, Charles and Fornage, Myriam and Kaplan, Robert C and Psaty, Bruce M and Rotter, Jerome I and Arnett, Donna K and Morrison, Alanna C and Franceschini, Nora and Levy, Daniel and Sofer, Tamar} } @article {9379, title = {Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups.}, journal = {Nat Commun}, volume = {14}, year = {2023}, month = {2023 Jun 02}, pages = {3202}, abstract = {

We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals.

}, keywords = {Blood Pressure, Ethnicity, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Population Health, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-023-38990-9}, author = {Kurniansyah, Nuzulul and Goodman, Matthew O and Khan, Alyna T and Wang, Jiongming and Feofanova, Elena and Bis, Joshua C and Wiggins, Kerri L and Huffman, Jennifer E and Kelly, Tanika and Elfassy, Tali and Guo, Xiuqing and Palmas, Walter and Lin, Henry J and Hwang, Shih-Jen and Gao, Yan and Young, Kendra and Kinney, Gregory L and Smith, Jennifer A and Yu, Bing and Liu, Simin and Wassertheil-Smoller, Sylvia and Manson, JoAnn E and Zhu, Xiaofeng and Chen, Yii-Der Ida and Lee, I-Te and Gu, C Charles and Lloyd-Jones, Donald M and Z{\"o}llner, Sebastian and Fornage, Myriam and Kooperberg, Charles and Correa, Adolfo and Psaty, Bruce M and Arnett, Donna K and Isasi, Carmen R and Rich, Stephen S and Kaplan, Robert C and Redline, Susan and Mitchell, Braxton D and Franceschini, Nora and Levy, Daniel and Rotter, Jerome I and Morrison, Alanna C and Sofer, Tamar} } @article {9787, title = {Rare variant contribution to the heritability of coronary artery disease.}, journal = {Nat Commun}, volume = {15}, year = {2024}, month = {2024 Oct 09}, pages = {8741}, abstract = {

Whole genome sequences (WGS) enable discovery of rare variants which may contribute to missing heritability of coronary artery disease (CAD). To measure their contribution, we apply the GREML-LDMS-I approach to WGS of 4949 cases and 17,494 controls of European ancestry from the NHLBI TOPMed program. We estimate CAD heritability at 34.3\% assuming a prevalence of 8.2\%. Ultra-rare (minor allele frequency <= 0.1\%) variants with low linkage disequilibrium (LD) score contribute ~50\% of the heritability. We also investigate CAD heritability enrichment using a diverse set of functional annotations: i) constraint; ii) predicted protein-altering impact; iii) cis-regulatory elements from a cell-specific chromatin atlas of the human coronary; and iv) annotation principal components representing a wide range of functional processes. We observe marked enrichment of CAD heritability for most functional annotations. These results reveal the predominant role of ultra-rare variants in low LD on the heritability of CAD. Moreover, they highlight several functional processes including cell type-specific regulatory mechanisms as key drivers of CAD genetic risk.

}, keywords = {Case-Control Studies, Coronary Artery Disease, Female, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Male, Middle Aged, Polymorphism, Single Nucleotide, White People, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-024-52939-6}, author = {Rocheleau, Ghislain and Clarke, Shoa L and Auguste, Ga{\"e}lle and Hasbani, Natalie R and Morrison, Alanna C and Heath, Adam S and Bielak, Lawrence F and Iyer, Kruthika R and Young, Erica P and Stitziel, Nathan O and Jun, Goo and Laurie, Cecelia and Broome, Jai G and Khan, Alyna T and Arnett, Donna K and Becker, Lewis C and Bis, Joshua C and Boerwinkle, Eric and Bowden, Donald W and Carson, April P and Ellinor, Patrick T and Fornage, Myriam and Franceschini, Nora and Freedman, Barry I and Heard-Costa, Nancy L and Hou, Lifang and Chen, Yii-Der Ida and Kenny, Eimear E and Kooperberg, Charles and Kral, Brian G and Loos, Ruth J F and Lutz, Sharon M and Manson, JoAnn E and Martin, Lisa W and Mitchell, Braxton D and Nassir, Rami and Palmer, Nicholette D and Post, Wendy S and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Regan, Elizabeth A and Rich, Stephen S and Smith, Jennifer A and Taylor, Kent D and Yanek, Lisa R and Young, Kendra A and Hilliard, Austin T and Tcheandjieu, Catherine and Peyser, Patricia A and Vasan, Ramachandran S and Rotter, Jerome I and Miller, Clint L and Assimes, Themistocles L and de Vries, Paul S and Do, Ron} } @article {9579, title = {X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.}, journal = {Nat Commun}, volume = {15}, year = {2024}, month = {2024 Jan 18}, pages = {586}, abstract = {

X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research.

}, keywords = {Androgens, Chromosomes, Human, X, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Kidney, Male, Polymorphism, Single Nucleotide, Response Elements, Tetraspanins}, issn = {2041-1723}, doi = {10.1038/s41467-024-44709-1}, author = {Scholz, Markus and Horn, Katrin and Pott, Janne and Wuttke, Matthias and K{\"u}hnapfel, Andreas and Nasr, M Kamal and Kirsten, Holger and Li, Yong and Hoppmann, Anselm and Gorski, Mathias and Ghasemi, Sahar and Li, Man and Tin, Adrienne and Chai, Jin-Fang and Cocca, Massimiliano and Wang, Judy and Nutile, Teresa and Akiyama, Masato and {\r A}svold, Bj{\o}rn Olav and Bansal, Nisha and Biggs, Mary L and Boutin, Thibaud and Brenner, Hermann and Brumpton, Ben and Burkhardt, Ralph and Cai, Jianwen and Campbell, Archie and Campbell, Harry and Chalmers, John and Chasman, Daniel I and Chee, Miao Ling and Chee, Miao Li and Chen, Xu and Cheng, Ching-Yu and Cifkova, Renata and Daviglus, Martha and Delgado, Graciela and Dittrich, Katalin and Edwards, Todd L and Endlich, Karlhans and Michael Gaziano, J and Giri, Ayush and Giulianini, Franco and Gordon, Scott D and Gudbjartsson, Daniel F and Hallan, Stein and Hamet, Pavel and Hartman, Catharina A and Hayward, Caroline and Heid, Iris M and Hellwege, Jacklyn N and Holleczek, Bernd and Holm, Hilma and Hutri-K{\"a}h{\"o}nen, Nina and Hveem, Kristian and Isermann, Berend and Jonas, Jost B and Joshi, Peter K and Kamatani, Yoichiro and Kanai, Masahiro and Kastarinen, Mika and Khor, Chiea Chuen and Kiess, Wieland and Kleber, Marcus E and K{\"o}rner, Antje and Kovacs, Peter and Krajcoviechova, Alena and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kuokkanen, Mikko and K{\"a}h{\"o}nen, Mika and Lange, Leslie A and Lash, James P and Lehtim{\"a}ki, Terho and Li, Hengtong and Lin, Bridget M and Liu, Jianjun and Loeffler, Markus and Lyytik{\"a}inen, Leo-Pekka and Magnusson, Patrik K E and Martin, Nicholas G and Matsuda, Koichi and Milaneschi, Yuri and Mishra, Pashupati P and Mononen, Nina and Montgomery, Grant W and Mook-Kanamori, Dennis O and Mychaleckyj, Josyf C and M{\"a}rz, Winfried and Nauck, Matthias and Nikus, Kjell and Nolte, Ilja M and Noordam, Raymond and Okada, Yukinori and Olafsson, Isleifur and Oldehinkel, Albertine J and Penninx, Brenda W J H and Perola, Markus and Pirastu, Nicola and Polasek, Ozren and Porteous, David J and Poulain, Tanja and Psaty, Bruce M and Rabelink, Ton J and Raffield, Laura M and Raitakari, Olli T and Rasheed, Humaira and Reilly, Dermot F and Rice, Kenneth M and Richmond, Anne and Ridker, Paul M and Rotter, Jerome I and Rudan, Igor and Sabanayagam, Charumathi and Salomaa, Veikko and Schneiderman, Neil and Sch{\"o}ttker, Ben and Sims, Mario and Snieder, Harold and Stark, Klaus J and Stefansson, Kari and Stocker, Hannah and Stumvoll, Michael and Sulem, Patrick and Sveinbjornsson, Gardar and Svensson, Per O and Tai, E-Shyong and Taylor, Kent D and Tayo, Bamidele O and Teren, Andrej and Tham, Yih-Chung and Thiery, Joachim and Thio, Chris H L and Thomas, Laurent F and Tremblay, Johanne and T{\"o}njes, Anke and van der Most, Peter J and Vitart, Veronique and V{\"o}lker, Uwe and Wang, Ya Xing and Wang, Chaolong and Wei, Wen Bin and Whitfield, John B and Wild, Sarah H and Wilson, James F and Winkler, Thomas W and Wong, Tien-Yin and Woodward, Mark and Sim, Xueling and Chu, Audrey Y and Feitosa, Mary F and Thorsteinsdottir, Unnur and Hung, Adriana M and Teumer, Alexander and Franceschini, Nora and Parsa, Afshin and K{\"o}ttgen, Anna and Schlosser, Pascal and Pattaro, Cristian} } @article {9899, title = {A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies.}, journal = {Nat Comput Sci}, volume = {5}, year = {2025}, month = {2025 Feb}, pages = {125-143}, abstract = {

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple traits, and further empowers rare variant association analysis by incorporating multiple functional annotations. We applied MultiSTAAR to jointly analyze three lipid traits in 61,838 multi-ethnic samples from the Trans-Omics for Precision Medicine (TOPMed) Program. We discovered and replicated new associations with lipid traits missed by single-trait analysis.

}, keywords = {Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Lipids, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Whole Genome Sequencing}, issn = {2662-8457}, doi = {10.1038/s43588-024-00764-8}, author = {Li, Xihao and Chen, Han and Selvaraj, Margaret Sunitha and Van Buren, Eric and Zhou, Hufeng and Wang, Yuxuan and Sun, Ryan and McCaw, Zachary R and Yu, Zhi and Jiang, Min-Zhi and DiCorpo, Daniel and Gaynor, Sheila M and Dey, Rounak and Arnett, Donna K and Benjamin, Emelia J and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Carson, April P and Carlson, Jenna C and Chami, Nathalie and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Fornage, Myriam and Franceschini, Nora and Freedman, Barry I and Gu, Charles and Heard-Costa, Nancy L and He, Jiang and Hou, Lifang and Hung, Yi-Jen and Irvin, Marguerite R and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Tanika N and Konigsberg, Iain and Kooperberg, Charles and Kral, Brian G and Li, Changwei and Li, Yun and Lin, Honghuang and Liu, Ching-Ti and Loos, Ruth J F and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and North, Kari E and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Sitlani, Colleen M and Smith, Jennifer A and Taylor, Kent D and Tiwari, Hemant K and Vasan, Ramachandran S and Viali, Satupa{\textquoteright}itea and Wang, Zhe and Wessel, Jennifer and Yanek, Lisa R and Yu, Bing and Dupuis, Jos{\'e}e and Meigs, James B and Auer, Paul L and Raffield, Laura M and Manning, Alisa K and Rice, Kenneth M and Rotter, Jerome I and Peloso, Gina M and Natarajan, Pradeep and Li, Zilin and Liu, Zhonghua and Lin, Xihong} }