%0 Journal Article %J PLoS Genet %D 2011 %T Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study. %A Dumitrescu, Logan %A Carty, Cara L %A Taylor, Kira %A Schumacher, Fredrick R %A Hindorff, Lucia A %A Ambite, José L %A Anderson, Garnet %A Best, Lyle G %A Brown-Gentry, Kristin %A Bůzková, Petra %A Carlson, Christopher S %A Cochran, Barbara %A Cole, Shelley A %A Devereux, Richard B %A Duggan, Dave %A Eaton, Charles B %A Fornage, Myriam %A Franceschini, Nora %A Haessler, Jeff %A Howard, Barbara V %A Johnson, Karen C %A Laston, Sandra %A Kolonel, Laurence N %A Lee, Elisa T %A MacCluer, Jean W %A Manolio, Teri A %A Pendergrass, Sarah A %A Quibrera, Miguel %A Shohet, Ralph V %A Wilkens, Lynne R %A Haiman, Christopher A %A Le Marchand, Loïc %A Buyske, Steven %A Kooperberg, Charles %A North, Kari E %A Crawford, Dana C %K Adolescent %K Adult %K Aged %K Aged, 80 and over %K Continental Population Groups %K Female %K Gene Frequency %K Genetics, Population %K Genome-Wide Association Study %K Humans %K Linkage Disequilibrium %K Lipid Metabolism %K Lipoproteins, HDL %K Lipoproteins, LDL %K Male %K Middle Aged %K Molecular Epidemiology %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Risk Factors %K Triglycerides %K Young Adult %X

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.

%B PLoS Genet %V 7 %P e1002138 %8 2011 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/21738485?dopt=Abstract %R 10.1371/journal.pgen.1002138 %0 Journal Article %J Diabetes %D 2012 %T Consistent directions of effect for established type 2 diabetes risk variants across populations: the population architecture using Genomics and Epidemiology (PAGE) Consortium. %A Haiman, Christopher A %A Fesinmeyer, Megan D %A Spencer, Kylee L %A Bůzková, Petra %A Voruganti, V Saroja %A Wan, Peggy %A Haessler, Jeff %A Franceschini, Nora %A Monroe, Kristine R %A Howard, Barbara V %A Jackson, Rebecca D %A Florez, Jose C %A Kolonel, Laurence N %A Buyske, Steven %A Goodloe, Robert J %A Liu, Simin %A Manson, JoAnn E %A Meigs, James B %A Waters, Kevin %A Mukamal, Kenneth J %A Pendergrass, Sarah A %A Shrader, Peter %A Wilkens, Lynne R %A Hindorff, Lucia A %A Ambite, Jose Luis %A North, Kari E %A Peters, Ulrike %A Crawford, Dana C %A Le Marchand, Loïc %A Pankow, James S %K Adult %K Aged %K Aged, 80 and over %K Alleles %K Diabetes Mellitus, Type 2 %K Female %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Male %K Metagenomics %K Middle Aged %K Population Groups %K Risk %K Risk Factors %X

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.

%B Diabetes %V 61 %P 1642-7 %8 2012 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/22474029?dopt=Abstract %R 10.2337/db11-1296 %0 Journal Article %J Am J Hum Genet %D 2013 %T Fine Mapping and Identification of BMI Loci in African Americans. %A Gong, Jian %A Schumacher, Fredrick %A Lim, Unhee %A Hindorff, Lucia A %A Haessler, Jeff %A Buyske, Steven %A Carlson, Christopher S %A Rosse, Stephanie %A Bůzková, Petra %A Fornage, Myriam %A Gross, Myron %A Pankratz, Nathan %A Pankow, James S %A Schreiner, Pamela J %A Cooper, Richard %A Ehret, Georg %A Gu, C Charles %A Houston, Denise %A Irvin, Marguerite R %A Jackson, Rebecca %A Kuller, Lew %A Henderson, Brian %A Cheng, Iona %A Wilkens, Lynne %A Leppert, Mark %A Lewis, Cora E %A Li, Rongling %A Nguyen, Khanh-Dung H %A Goodloe, Robert %A Farber-Eger, Eric %A Boston, Jonathan %A Dilks, Holli H %A Ritchie, Marylyn D %A Fowke, Jay %A Pooler, Loreall %A Graff, Misa %A Fernandez-Rhodes, Lindsay %A Cochrane, Barbara %A Boerwinkle, Eric %A Kooperberg, Charles %A Matise, Tara C %A Le Marchand, Loïc %A Crawford, Dana C %A Haiman, Christopher A %A North, Kari E %A Peters, Ulrike %K Adult %K African Americans %K Aged %K Aged, 80 and over %K Body Mass Index %K Female %K Genetic Loci %K Genetic Predisposition to Disease %K Genome, Human %K Genome-Wide Association Study %K Genotype %K Humans %K Linkage Disequilibrium %K Male %K Middle Aged %K Obesity %K Polymorphism, Single Nucleotide %K Young Adult %X

Genome-wide association studies (GWASs) primarily performed in European-ancestry (EA) populations have identified numerous loci associated with body mass index (BMI). However, it is still unclear whether these GWAS loci can be generalized to other ethnic groups, such as African Americans (AAs). Furthermore, the putative functional variant or variants in these loci mostly remain under investigation. The overall lower linkage disequilibrium in AA compared to EA populations provides the opportunity to narrow in or fine-map these BMI-related loci. Therefore, we used the Metabochip to densely genotype and evaluate 21 BMI GWAS loci identified in EA studies in 29,151 AAs from the Population Architecture using Genomics and Epidemiology (PAGE) study. Eight of the 21 loci (SEC16B, TMEM18, ETV5, GNPDA2, TFAP2B, BDNF, FTO, and MC4R) were found to be associated with BMI in AAs at 5.8 × 10(-5). Within seven out of these eight loci, we found that, on average, a substantially smaller number of variants was correlated (r(2) > 0.5) with the most significant SNP in AA than in EA populations (16 versus 55). Conditional analyses revealed GNPDA2 harboring a potential additional independent signal. Moreover, Metabochip-wide discovery analyses revealed two BMI-related loci, BRE (rs116612809, p = 3.6 × 10(-8)) and DHX34 (rs4802349, p = 1.2 × 10(-7)), which were significant when adjustment was made for the total number of SNPs tested across the chip. These results demonstrate that fine mapping in AAs is a powerful approach for both narrowing in on the underlying causal variants in known loci and discovering BMI-related loci.

%B Am J Hum Genet %V 93 %P 661-71 %8 2013 Oct 3 %G eng %N 4 %1 http://www.ncbi.nlm.nih.gov/pubmed/24094743?dopt=Abstract %R 10.1016/j.ajhg.2013.08.012 %0 Journal Article %J Diabetes %D 2013 %T The influence of obesity-related single nucleotide polymorphisms on BMI across the life course: the PAGE study. %A Graff, Mariaelisa %A Gordon-Larsen, Penny %A Lim, Unhee %A Fowke, Jay H %A Love, Shelly-Ann %A Fesinmeyer, Megan %A Wilkens, Lynne R %A Vertilus, Shawyntee %A Ritchie, Marilyn D %A Prentice, Ross L %A Pankow, Jim %A Monroe, Kristine %A Manson, JoAnn E %A Le Marchand, Loïc %A Kuller, Lewis H %A Kolonel, Laurence N %A Hong, Ching P %A Henderson, Brian E %A Haessler, Jeff %A Gross, Myron D %A Goodloe, Robert %A Franceschini, Nora %A Carlson, Christopher S %A Buyske, Steven %A Bůzková, Petra %A Hindorff, Lucia A %A Matise, Tara C %A Crawford, Dana C %A Haiman, Christopher A %A Peters, Ulrike %A North, Kari E %K Adolescent %K Adult %K Aged %K Aged, 80 and over %K Aging %K Body Mass Index %K Cohort Studies %K Cross-Sectional Studies %K European Continental Ancestry Group %K Female %K Genetic Association Studies %K Health Surveys %K Humans %K Male %K Middle Aged %K Obesity %K Polymorphism, Single Nucleotide %K Proteins %K United States %K Young Adult %X

Evidence is limited as to whether heritable risk of obesity varies throughout adulthood. Among >34,000 European Americans, aged 18-100 years, from multiple U.S. studies in the Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we examined evidence for heterogeneity in the associations of five established obesity risk variants (near FTO, GNPDA2, MTCH2, TMEM18, and NEGR1) with BMI across four distinct epochs of adulthood: 1) young adulthood (ages 18-25 years), adulthood (ages 26-49 years), middle-age adulthood (ages 50-69 years), and older adulthood (ages ≥70 years); or 2) by menopausal status in women and stratification by age 50 years in men. Summary-effect estimates from each meta-analysis were compared for heterogeneity across the life epochs. We found heterogeneity in the association of the FTO (rs8050136) variant with BMI across the four adulthood epochs (P = 0.0006), with larger effects in young adults relative to older adults (β [SE] = 1.17 [0.45] vs. 0.09 [0.09] kg/m², respectively, per A allele) and smaller intermediate effects. We found no evidence for heterogeneity in the association of GNPDA2, MTCH2, TMEM18, and NEGR1 with BMI across adulthood. Genetic predisposition to obesity may have greater effects on body weight in young compared with older adulthood for FTO, suggesting changes by age, generation, or secular trends. Future research should compare and contrast our findings with results using longitudinal data.

%B Diabetes %V 62 %P 1763-7 %8 2013 May %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/23300277?dopt=Abstract %R 10.2337/db12-0863 %0 Journal Article %J BMC Genet %D 2013 %T Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study. %A Taylor, Kira C %A Carty, Cara L %A Dumitrescu, Logan %A Bůzková, Petra %A Cole, Shelley A %A Hindorff, Lucia %A Schumacher, Fred R %A Wilkens, Lynne R %A Shohet, Ralph V %A Quibrera, P Miguel %A Johnson, Karen C %A Henderson, Brian E %A Haessler, Jeff %A Franceschini, Nora %A Eaton, Charles B %A Duggan, David J %A Cochran, Barbara %A Cheng, Iona %A Carlson, Chris S %A Brown-Gentry, Kristin %A Anderson, Garnet %A Ambite, Jose Luis %A Haiman, Christopher %A Le Marchand, Loïc %A Kooperberg, Charles %A Crawford, Dana C %A Buyske, Steven %A North, Kari E %A Fornage, Myriam %K Female %K Genetic Heterogeneity %K Genome, Human %K Genome-Wide Association Study %K Humans %K Lipids %K Male %K Polymorphism, Single Nucleotide %K Population Groups %X

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.

%B BMC Genet %V 14 %P 33 %8 2013 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/23634756?dopt=Abstract %R 10.1186/1471-2156-14-33 %0 Journal Article %J Hum Genet %D 2013 %T No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population. %A Dumitrescu, Logan %A Carty, Cara L %A Franceschini, Nora %A Hindorff, Lucia A %A Cole, Shelley A %A Bůzková, Petra %A Schumacher, Fredrick R %A Eaton, Charles B %A Goodloe, Robert J %A Duggan, David J %A Haessler, Jeff %A Cochran, Barbara %A Henderson, Brian E %A Cheng, Iona %A Johnson, Karen C %A Carlson, Chris S %A Love, Shelly-Anne %A Brown-Gentry, Kristin %A Nato, Alejandro Q %A Quibrera, Miguel %A Shohet, Ralph V %A Ambite, Jose Luis %A Wilkens, Lynne R %A Le Marchand, Loïc %A Haiman, Christopher A %A Buyske, Steven %A Kooperberg, Charles %A North, Kari E %A Fornage, Myriam %A Crawford, Dana C %K Cholesterol, HDL %K Cholesterol, LDL %K Cohort Studies %K Ethnic Groups %K Female %K Gene Frequency %K Gene-Environment Interaction %K Genetics, Population %K Genome-Wide Association Study %K Humans %K Lipid Metabolism %K Male %K Polymorphism, Single Nucleotide %K Prevalence %K Smoking %K Triglycerides %K Young Adult %X

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 × smoking interactions.

%B Hum Genet %V 132 %P 1427-31 %8 2013 Dec %G eng %N 12 %1 http://www.ncbi.nlm.nih.gov/pubmed/24100633?dopt=Abstract %R 10.1007/s00439-013-1375-3 %0 Journal Article %J Ann Hum Genet %D 2013 %T 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. %A Dumitrescu, Logan %A Carty, Cara L %A Franceschini, Nora %A Hindorff, Lucia A %A Cole, Shelley A %A Bůzková, Petra %A Schumacher, Fredrick R %A Eaton, Charles B %A Goodloe, Robert J %A Duggan, David J %A Haessler, Jeff %A Cochran, Barbara %A Henderson, Brian E %A Cheng, Iona %A Johnson, Karen C %A Carlson, Chris S %A Love, Shelly-Ann %A Brown-Gentry, Kristin %A Nato, Alejandro Q %A Quibrera, Miguel %A Anderson, Garnet %A Shohet, Ralph V %A Ambite, Jose Luis %A Wilkens, Lynne R %A Marchand, Loic Le %A Haiman, Christopher A %A Buyske, Steven %A Kooperberg, Charles %A North, Kari E %A Fornage, Myriam %A Crawford, Dana C %K Adult %K Aged %K European Continental Ancestry Group %K Female %K Genetic Association Studies %K Genome-Wide Association Study %K Humans %K Lipids %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Quantitative Trait, Heritable %K Risk Factors %X

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.

%B Ann Hum Genet %V 77 %P 416-25 %8 2013 Sep %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/23808484?dopt=Abstract %R 10.1111/ahg.12027 %0 Journal Article %J PLoS Genet %D 2013 %T A systematic mapping approach of 16q12.2/FTO and BMI in more than 20,000 African Americans narrows in on the underlying functional variation: results from the Population Architecture using Genomics and Epidemiology (PAGE) study. %A Peters, Ulrike %A North, Kari E %A Sethupathy, Praveen %A Buyske, Steve %A Haessler, Jeff %A Jiao, Shuo %A Fesinmeyer, Megan D %A Jackson, Rebecca D %A Kuller, Lew H %A Rajkovic, Aleksandar %A Lim, Unhee %A Cheng, Iona %A Schumacher, Fred %A Wilkens, Lynne %A Li, Rongling %A Monda, Keri %A Ehret, Georg %A Nguyen, Khanh-Dung H %A Cooper, Richard %A Lewis, Cora E %A Leppert, Mark %A Irvin, Marguerite R %A Gu, C Charles %A Houston, Denise %A Bůzková, Petra %A Ritchie, Marylyn %A Matise, Tara C %A Le Marchand, Loïc %A Hindorff, Lucia A %A Crawford, Dana C %A Haiman, Christopher A %A Kooperberg, Charles %K Adaptor Proteins, Signal Transducing %K Adult %K African Americans %K Aged %K Aged, 80 and over %K Alleles %K Body Mass Index %K Chromosome Mapping %K Continental Population Groups %K European Continental Ancestry Group %K Female %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Linkage Disequilibrium %K Male %K Metagenomics %K Middle Aged %K Obesity %K Proteins %X

Genetic variants in intron 1 of the fat mass- and obesity-associated (FTO) gene have been consistently associated with body mass index (BMI) in Europeans. However, follow-up studies in African Americans (AA) have shown no support for some of the most consistently BMI-associated FTO index single nucleotide polymorphisms (SNPs). This is most likely explained by different race-specific linkage disequilibrium (LD) patterns and lower correlation overall in AA, which provides the opportunity to fine-map this region and narrow in on the functional variant. To comprehensively explore the 16q12.2/FTO locus and to search for second independent signals in the broader region, we fine-mapped a 646-kb region, encompassing the large FTO gene and the flanking gene RPGRIP1L by investigating a total of 3,756 variants (1,529 genotyped and 2,227 imputed variants) in 20,488 AAs across five studies. We observed associations between BMI and variants in the known FTO intron 1 locus: the SNP with the most significant p-value, rs56137030 (8.3 × 10(-6)) had not been highlighted in previous studies. While rs56137030was correlated at r(2)>0.5 with 103 SNPs in Europeans (including the GWAS index SNPs), this number was reduced to 28 SNPs in AA. Among rs56137030 and the 28 correlated SNPs, six were located within candidate intronic regulatory elements, including rs1421085, for which we predicted allele-specific binding affinity for the transcription factor CUX1, which has recently been implicated in the regulation of FTO. We did not find strong evidence for a second independent signal in the broader region. In summary, this large fine-mapping study in AA has substantially reduced the number of common alleles that are likely to be functional candidates of the known FTO locus. Importantly our study demonstrated that comprehensive fine-mapping in AA provides a powerful approach to narrow in on the functional candidate(s) underlying the initial GWAS findings in European populations.

%B PLoS Genet %V 9 %P e1003171 %8 2013 %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/23341774?dopt=Abstract %R 10.1371/journal.pgen.1003171 %0 Journal Article %J Cell %D 2020 %T The Polygenic and Monogenic Basis of Blood Traits and Diseases. %A Vuckovic, Dragana %A Bao, Erik L %A Akbari, Parsa %A Lareau, Caleb A %A Mousas, Abdou %A Jiang, Tao %A Chen, Ming-Huei %A Raffield, Laura M %A Tardaguila, Manuel %A Huffman, Jennifer E %A Ritchie, Scott C %A Megy, Karyn %A Ponstingl, Hannes %A Penkett, Christopher J %A Albers, Patrick K %A Wigdor, Emilie M %A Sakaue, Saori %A Moscati, Arden %A Manansala, Regina %A Lo, Ken Sin %A Qian, Huijun %A Akiyama, Masato %A Bartz, Traci M %A Ben-Shlomo, Yoav %A Beswick, Andrew %A Bork-Jensen, Jette %A Bottinger, Erwin P %A Brody, Jennifer A %A van Rooij, Frank J A %A Chitrala, Kumaraswamy N %A Wilson, Peter W F %A Choquet, Helene %A Danesh, John %A Di Angelantonio, Emanuele %A Dimou, Niki %A Ding, Jingzhong %A Elliott, Paul %A Esko, Tõnu %A Evans, Michele K %A Felix, Stephan B %A Floyd, James S %A Broer, Linda %A Grarup, Niels %A Guo, Michael H %A Guo, Qi %A Greinacher, Andreas %A Haessler, Jeff %A Hansen, Torben %A Howson, Joanna M M %A Huang, Wei %A Jorgenson, Eric %A Kacprowski, Tim %A Kähönen, Mika %A Kamatani, Yoichiro %A Kanai, Masahiro %A Karthikeyan, Savita %A Koskeridis, Fotios %A Lange, Leslie A %A Lehtimäki, Terho %A Linneberg, Allan %A Liu, Yongmei %A Lyytikäinen, Leo-Pekka %A Manichaikul, Ani %A Matsuda, Koichi %A Mohlke, Karen L %A Mononen, Nina %A Murakami, Yoshinori %A Nadkarni, Girish N %A Nikus, Kjell %A Pankratz, Nathan %A Pedersen, Oluf %A Preuss, Michael %A Psaty, Bruce M %A Raitakari, Olli T %A Rich, Stephen S %A Rodriguez, Benjamin A T %A Rosen, Jonathan D %A Rotter, Jerome I %A Schubert, Petra %A Spracklen, Cassandra N %A Surendran, Praveen %A Tang, Hua %A Tardif, Jean-Claude %A Ghanbari, Mohsen %A Völker, Uwe %A Völzke, Henry %A Watkins, Nicholas A %A Weiss, Stefan %A Cai, Na %A Kundu, Kousik %A Watt, Stephen B %A Walter, Klaudia %A Zonderman, Alan B %A Cho, Kelly %A Li, Yun %A Loos, Ruth J F %A Knight, Julian C %A Georges, Michel %A Stegle, Oliver %A Evangelou, Evangelos %A Okada, Yukinori %A Roberts, David J %A Inouye, Michael %A Johnson, Andrew D %A Auer, Paul L %A Astle, William J %A Reiner, Alexander P %A Butterworth, Adam S %A Ouwehand, Willem H %A Lettre, Guillaume %A Sankaran, Vijay G %A Soranzo, Nicole %X

Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.

%B Cell %V 182 %P 1214-1231.e11 %8 2020 Sep 03 %G eng %N 5 %R 10.1016/j.cell.2020.08.008 %0 Journal Article %J Cell %D 2020 %T Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations. %A Chen, Ming-Huei %A Raffield, Laura M %A Mousas, Abdou %A Sakaue, Saori %A Huffman, Jennifer E %A Moscati, Arden %A Trivedi, Bhavi %A Jiang, Tao %A Akbari, Parsa %A Vuckovic, Dragana %A Bao, Erik L %A Zhong, Xue %A Manansala, Regina %A Laplante, Véronique %A Chen, Minhui %A Lo, Ken Sin %A Qian, Huijun %A Lareau, Caleb A %A Beaudoin, Mélissa %A Hunt, Karen A %A Akiyama, Masato %A Bartz, Traci M %A Ben-Shlomo, Yoav %A Beswick, Andrew %A Bork-Jensen, Jette %A Bottinger, Erwin P %A Brody, Jennifer A %A van Rooij, Frank J A %A Chitrala, Kumaraswamynaidu %A Cho, Kelly %A Choquet, Helene %A Correa, Adolfo %A Danesh, John %A Di Angelantonio, Emanuele %A Dimou, Niki %A Ding, Jingzhong %A Elliott, Paul %A Esko, Tõnu %A Evans, Michele K %A Floyd, James S %A Broer, Linda %A Grarup, Niels %A Guo, Michael H %A Greinacher, Andreas %A Haessler, Jeff %A Hansen, Torben %A Howson, Joanna M M %A Huang, Qin Qin %A Huang, Wei %A Jorgenson, Eric %A Kacprowski, Tim %A Kähönen, Mika %A Kamatani, Yoichiro %A Kanai, Masahiro %A Karthikeyan, Savita %A Koskeridis, Fotis %A Lange, Leslie A %A Lehtimäki, Terho %A Lerch, Markus M %A Linneberg, Allan %A Liu, Yongmei %A Lyytikäinen, Leo-Pekka %A Manichaikul, Ani %A Martin, Hilary C %A Matsuda, Koichi %A Mohlke, Karen L %A Mononen, Nina %A Murakami, Yoshinori %A Nadkarni, Girish N %A Nauck, Matthias %A Nikus, Kjell %A Ouwehand, Willem H %A Pankratz, Nathan %A Pedersen, Oluf %A Preuss, Michael %A Psaty, Bruce M %A Raitakari, Olli T %A Roberts, David J %A Rich, Stephen S %A Rodriguez, Benjamin A T %A Rosen, Jonathan D %A Rotter, Jerome I %A Schubert, Petra %A Spracklen, Cassandra N %A Surendran, Praveen %A Tang, Hua %A Tardif, Jean-Claude %A Trembath, Richard C %A Ghanbari, Mohsen %A Völker, Uwe %A Völzke, Henry %A Watkins, Nicholas A %A Zonderman, Alan B %A Wilson, Peter W F %A Li, Yun %A Butterworth, Adam S %A Gauchat, Jean-François %A Chiang, Charleston W K %A Li, Bingshan %A Loos, Ruth J F %A Astle, William J %A Evangelou, Evangelos %A van Heel, David A %A Sankaran, Vijay G %A Okada, Yukinori %A Soranzo, Nicole %A Johnson, Andrew D %A Reiner, Alexander P %A Auer, Paul L %A Lettre, Guillaume %X

Most loci identified by GWASs have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant associations at p < 5 × 10, including 71 novel associations not found in EUR populations. We also identified 28 additional novel variants in ancestry-specific, non-EUR meta-analyses, including an IL7 missense variant in South Asians associated with lymphocyte count in vivo and IL-7 secretion levels in vitro. Fine-mapping prioritized variants annotated as functional and generated 95% credible sets that were 30% smaller when using the trans-ethnic as opposed to the EUR-only results. We explored the clinical significance and predictive value of trans-ethnic variants in multiple populations and compared genetic architecture and the effect of natural selection on these blood phenotypes between populations. Altogether, our results for hematological traits highlight the value of a more global representation of populations in genetic studies.

%B Cell %V 182 %P 1198-1213.e14 %8 2020 Sep 03 %G eng %N 5 %R 10.1016/j.cell.2020.06.045