TY - JOUR T1 - Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study. JF - PLoS Genet Y1 - 2011 A1 - Dumitrescu, Logan A1 - Carty, Cara L A1 - Taylor, Kira A1 - Schumacher, Fredrick R A1 - Hindorff, Lucia A A1 - Ambite, José L A1 - Anderson, Garnet A1 - Best, Lyle G A1 - Brown-Gentry, Kristin A1 - Bůzková, Petra A1 - Carlson, Christopher S A1 - Cochran, Barbara A1 - Cole, Shelley A A1 - Devereux, Richard B A1 - Duggan, Dave A1 - Eaton, Charles B A1 - Fornage, Myriam A1 - Franceschini, Nora A1 - Haessler, Jeff A1 - Howard, Barbara V A1 - Johnson, Karen C A1 - Laston, Sandra A1 - Kolonel, Laurence N A1 - Lee, Elisa T A1 - MacCluer, Jean W A1 - Manolio, Teri A A1 - Pendergrass, Sarah A A1 - Quibrera, Miguel A1 - Shohet, Ralph V A1 - Wilkens, Lynne R A1 - Haiman, Christopher A A1 - Le Marchand, Loïc A1 - Buyske, Steven A1 - Kooperberg, Charles A1 - North, Kari E A1 - Crawford, Dana C KW - Adolescent KW - Adult KW - Aged KW - Aged, 80 and over KW - Continental Population Groups KW - Female KW - Gene Frequency KW - Genetics, Population KW - Genome-Wide Association Study KW - Humans KW - Linkage Disequilibrium KW - Lipid Metabolism KW - Lipoproteins, HDL KW - Lipoproteins, LDL KW - Male KW - Middle Aged KW - Molecular Epidemiology KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci KW - Risk Factors KW - Triglycerides KW - Young Adult AB -

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.

VL - 7 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21738485?dopt=Abstract ER - TY - JOUR T1 - Consistent directions of effect for established type 2 diabetes risk variants across populations: the population architecture using Genomics and Epidemiology (PAGE) Consortium. JF - Diabetes Y1 - 2012 A1 - Haiman, Christopher A A1 - Fesinmeyer, Megan D A1 - Spencer, Kylee L A1 - Bůzková, Petra A1 - Voruganti, V Saroja A1 - Wan, Peggy A1 - Haessler, Jeff A1 - Franceschini, Nora A1 - Monroe, Kristine R A1 - Howard, Barbara V A1 - Jackson, Rebecca D A1 - Florez, Jose C A1 - Kolonel, Laurence N A1 - Buyske, Steven A1 - Goodloe, Robert J A1 - Liu, Simin A1 - Manson, JoAnn E A1 - Meigs, James B A1 - Waters, Kevin A1 - Mukamal, Kenneth J A1 - Pendergrass, Sarah A A1 - Shrader, Peter A1 - Wilkens, Lynne R A1 - Hindorff, Lucia A A1 - Ambite, Jose Luis A1 - North, Kari E A1 - Peters, Ulrike A1 - Crawford, Dana C A1 - Le Marchand, Loïc A1 - Pankow, James S KW - Adult KW - Aged KW - Aged, 80 and over KW - Alleles KW - Diabetes Mellitus, Type 2 KW - Female KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Genotype KW - Humans KW - Male KW - Metagenomics KW - Middle Aged KW - Population Groups KW - Risk KW - Risk Factors AB -

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.

VL - 61 IS - 6 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22474029?dopt=Abstract ER - TY - JOUR T1 - Fine Mapping and Identification of BMI Loci in African Americans. JF - Am J Hum Genet Y1 - 2013 A1 - Gong, Jian A1 - Schumacher, Fredrick A1 - Lim, Unhee A1 - Hindorff, Lucia A A1 - Haessler, Jeff A1 - Buyske, Steven A1 - Carlson, Christopher S A1 - Rosse, Stephanie A1 - Bůzková, Petra A1 - Fornage, Myriam A1 - Gross, Myron A1 - Pankratz, Nathan A1 - Pankow, James S A1 - Schreiner, Pamela J A1 - Cooper, Richard A1 - Ehret, Georg A1 - Gu, C Charles A1 - Houston, Denise A1 - Irvin, Marguerite R A1 - Jackson, Rebecca A1 - Kuller, Lew A1 - Henderson, Brian A1 - Cheng, Iona A1 - Wilkens, Lynne A1 - Leppert, Mark A1 - Lewis, Cora E A1 - Li, Rongling A1 - Nguyen, Khanh-Dung H A1 - Goodloe, Robert A1 - Farber-Eger, Eric A1 - Boston, Jonathan A1 - Dilks, Holli H A1 - Ritchie, Marylyn D A1 - Fowke, Jay A1 - Pooler, Loreall A1 - Graff, Misa A1 - Fernandez-Rhodes, Lindsay A1 - Cochrane, Barbara A1 - Boerwinkle, Eric A1 - Kooperberg, Charles A1 - Matise, Tara C A1 - Le Marchand, Loïc A1 - Crawford, Dana C A1 - Haiman, Christopher A A1 - North, Kari E A1 - Peters, Ulrike KW - Adult KW - African Americans KW - Aged KW - Aged, 80 and over KW - Body Mass Index KW - Female KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genome, Human KW - Genome-Wide Association Study KW - Genotype KW - Humans KW - Linkage Disequilibrium KW - Male KW - Middle Aged KW - Obesity KW - Polymorphism, Single Nucleotide KW - Young Adult AB -

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.

VL - 93 IS - 4 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24094743?dopt=Abstract ER - TY - JOUR T1 - The influence of obesity-related single nucleotide polymorphisms on BMI across the life course: the PAGE study. JF - Diabetes Y1 - 2013 A1 - Graff, Mariaelisa A1 - Gordon-Larsen, Penny A1 - Lim, Unhee A1 - Fowke, Jay H A1 - Love, Shelly-Ann A1 - Fesinmeyer, Megan A1 - Wilkens, Lynne R A1 - Vertilus, Shawyntee A1 - Ritchie, Marilyn D A1 - Prentice, Ross L A1 - Pankow, Jim A1 - Monroe, Kristine A1 - Manson, JoAnn E A1 - Le Marchand, Loïc A1 - Kuller, Lewis H A1 - Kolonel, Laurence N A1 - Hong, Ching P A1 - Henderson, Brian E A1 - Haessler, Jeff A1 - Gross, Myron D A1 - Goodloe, Robert A1 - Franceschini, Nora A1 - Carlson, Christopher S A1 - Buyske, Steven A1 - Bůzková, Petra A1 - Hindorff, Lucia A A1 - Matise, Tara C A1 - Crawford, Dana C A1 - Haiman, Christopher A A1 - Peters, Ulrike A1 - North, Kari E KW - Adolescent KW - Adult KW - Aged KW - Aged, 80 and over KW - Aging KW - Body Mass Index KW - Cohort Studies KW - Cross-Sectional Studies KW - European Continental Ancestry Group KW - Female KW - Genetic Association Studies KW - Health Surveys KW - Humans KW - Male KW - Middle Aged KW - Obesity KW - Polymorphism, Single Nucleotide KW - Proteins KW - United States KW - Young Adult AB -

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.

VL - 62 IS - 5 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23300277?dopt=Abstract ER - TY - JOUR T1 - Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study. JF - BMC Genet Y1 - 2013 A1 - Taylor, Kira C A1 - Carty, Cara L A1 - Dumitrescu, Logan A1 - Bůzková, Petra A1 - Cole, Shelley A A1 - Hindorff, Lucia A1 - Schumacher, Fred R A1 - Wilkens, Lynne R A1 - Shohet, Ralph V A1 - Quibrera, P Miguel A1 - Johnson, Karen C A1 - Henderson, Brian E A1 - Haessler, Jeff A1 - Franceschini, Nora A1 - Eaton, Charles B A1 - Duggan, David J A1 - Cochran, Barbara A1 - Cheng, Iona A1 - Carlson, Chris S A1 - Brown-Gentry, Kristin A1 - Anderson, Garnet A1 - Ambite, Jose Luis A1 - Haiman, Christopher A1 - Le Marchand, Loïc A1 - Kooperberg, Charles A1 - Crawford, Dana C A1 - Buyske, Steven A1 - North, Kari E A1 - Fornage, Myriam KW - Female KW - Genetic Heterogeneity KW - Genome, Human KW - Genome-Wide Association Study KW - Humans KW - Lipids KW - Male KW - Polymorphism, Single Nucleotide KW - Population Groups AB -

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.

VL - 14 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23634756?dopt=Abstract ER - TY - JOUR T1 - No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population. JF - Hum Genet Y1 - 2013 A1 - Dumitrescu, Logan A1 - Carty, Cara L A1 - Franceschini, Nora A1 - Hindorff, Lucia A A1 - Cole, Shelley A A1 - Bůzková, Petra A1 - Schumacher, Fredrick R A1 - Eaton, Charles B A1 - Goodloe, Robert J A1 - Duggan, David J A1 - Haessler, Jeff A1 - Cochran, Barbara A1 - Henderson, Brian E A1 - Cheng, Iona A1 - Johnson, Karen C A1 - Carlson, Chris S A1 - Love, Shelly-Anne A1 - Brown-Gentry, Kristin A1 - Nato, Alejandro Q A1 - Quibrera, Miguel A1 - Shohet, Ralph V A1 - Ambite, Jose Luis A1 - Wilkens, Lynne R A1 - Le Marchand, Loïc A1 - Haiman, Christopher A A1 - Buyske, Steven A1 - Kooperberg, Charles A1 - North, Kari E A1 - Fornage, Myriam A1 - Crawford, Dana C KW - Cholesterol, HDL KW - Cholesterol, LDL KW - Cohort Studies KW - Ethnic Groups KW - Female KW - Gene Frequency KW - Gene-Environment Interaction KW - Genetics, Population KW - Genome-Wide Association Study KW - Humans KW - Lipid Metabolism KW - Male KW - Polymorphism, Single Nucleotide KW - Prevalence KW - Smoking KW - Triglycerides KW - Young Adult AB -

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.

VL - 132 IS - 12 U1 - http://www.ncbi.nlm.nih.gov/pubmed/24100633?dopt=Abstract ER - TY - JOUR T1 - 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. JF - Ann Hum Genet Y1 - 2013 A1 - Dumitrescu, Logan A1 - Carty, Cara L A1 - Franceschini, Nora A1 - Hindorff, Lucia A A1 - Cole, Shelley A A1 - Bůzková, Petra A1 - Schumacher, Fredrick R A1 - Eaton, Charles B A1 - Goodloe, Robert J A1 - Duggan, David J A1 - Haessler, Jeff A1 - Cochran, Barbara A1 - Henderson, Brian E A1 - Cheng, Iona A1 - Johnson, Karen C A1 - Carlson, Chris S A1 - Love, Shelly-Ann A1 - Brown-Gentry, Kristin A1 - Nato, Alejandro Q A1 - Quibrera, Miguel A1 - Anderson, Garnet A1 - Shohet, Ralph V A1 - Ambite, Jose Luis A1 - Wilkens, Lynne R A1 - Marchand, Loic Le A1 - Haiman, Christopher A A1 - Buyske, Steven A1 - Kooperberg, Charles A1 - North, Kari E A1 - Fornage, Myriam A1 - Crawford, Dana C KW - Adult KW - Aged KW - European Continental Ancestry Group KW - Female KW - Genetic Association Studies KW - Genome-Wide Association Study KW - Humans KW - Lipids KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci KW - Quantitative Trait, Heritable KW - Risk Factors AB -

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.

VL - 77 IS - 5 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23808484?dopt=Abstract ER - TY - JOUR T1 - 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. JF - PLoS Genet Y1 - 2013 A1 - Peters, Ulrike A1 - North, Kari E A1 - Sethupathy, Praveen A1 - Buyske, Steve A1 - Haessler, Jeff A1 - Jiao, Shuo A1 - Fesinmeyer, Megan D A1 - Jackson, Rebecca D A1 - Kuller, Lew H A1 - Rajkovic, Aleksandar A1 - Lim, Unhee A1 - Cheng, Iona A1 - Schumacher, Fred A1 - Wilkens, Lynne A1 - Li, Rongling A1 - Monda, Keri A1 - Ehret, Georg A1 - Nguyen, Khanh-Dung H A1 - Cooper, Richard A1 - Lewis, Cora E A1 - Leppert, Mark A1 - Irvin, Marguerite R A1 - Gu, C Charles A1 - Houston, Denise A1 - Bůzková, Petra A1 - Ritchie, Marylyn A1 - Matise, Tara C A1 - Le Marchand, Loïc A1 - Hindorff, Lucia A A1 - Crawford, Dana C A1 - Haiman, Christopher A A1 - Kooperberg, Charles KW - Adaptor Proteins, Signal Transducing KW - Adult KW - African Americans KW - Aged KW - Aged, 80 and over KW - Alleles KW - Body Mass Index KW - Chromosome Mapping KW - Continental Population Groups KW - European Continental Ancestry Group KW - Female KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Linkage Disequilibrium KW - Male KW - Metagenomics KW - Middle Aged KW - Obesity KW - Proteins AB -

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.

VL - 9 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/23341774?dopt=Abstract ER - TY - JOUR T1 - The Polygenic and Monogenic Basis of Blood Traits and Diseases. JF - Cell Y1 - 2020 A1 - Vuckovic, Dragana A1 - Bao, Erik L A1 - Akbari, Parsa A1 - Lareau, Caleb A A1 - Mousas, Abdou A1 - Jiang, Tao A1 - Chen, Ming-Huei A1 - Raffield, Laura M A1 - Tardaguila, Manuel A1 - Huffman, Jennifer E A1 - Ritchie, Scott C A1 - Megy, Karyn A1 - Ponstingl, Hannes A1 - Penkett, Christopher J A1 - Albers, Patrick K A1 - Wigdor, Emilie M A1 - Sakaue, Saori A1 - Moscati, Arden A1 - Manansala, Regina A1 - Lo, Ken Sin A1 - Qian, Huijun A1 - Akiyama, Masato A1 - Bartz, Traci M A1 - Ben-Shlomo, Yoav A1 - Beswick, Andrew A1 - Bork-Jensen, Jette A1 - Bottinger, Erwin P A1 - Brody, Jennifer A A1 - van Rooij, Frank J A A1 - Chitrala, Kumaraswamy N A1 - Wilson, Peter W F A1 - Choquet, Helene A1 - Danesh, John A1 - Di Angelantonio, Emanuele A1 - Dimou, Niki A1 - Ding, Jingzhong A1 - Elliott, Paul A1 - Esko, Tõnu A1 - Evans, Michele K A1 - Felix, Stephan B A1 - Floyd, James S A1 - Broer, Linda A1 - Grarup, Niels A1 - Guo, Michael H A1 - Guo, Qi A1 - Greinacher, Andreas A1 - Haessler, Jeff A1 - Hansen, Torben A1 - Howson, Joanna M M A1 - Huang, Wei A1 - Jorgenson, Eric A1 - Kacprowski, Tim A1 - Kähönen, Mika A1 - Kamatani, Yoichiro A1 - Kanai, Masahiro A1 - Karthikeyan, Savita A1 - Koskeridis, Fotios A1 - Lange, Leslie A A1 - Lehtimäki, Terho A1 - Linneberg, Allan A1 - Liu, Yongmei A1 - Lyytikäinen, Leo-Pekka A1 - Manichaikul, Ani A1 - Matsuda, Koichi A1 - Mohlke, Karen L A1 - Mononen, Nina A1 - Murakami, Yoshinori A1 - Nadkarni, Girish N A1 - Nikus, Kjell A1 - Pankratz, Nathan A1 - Pedersen, Oluf A1 - Preuss, Michael A1 - Psaty, Bruce M A1 - Raitakari, Olli T A1 - Rich, Stephen S A1 - Rodriguez, Benjamin A T A1 - Rosen, Jonathan D A1 - Rotter, Jerome I A1 - Schubert, Petra A1 - Spracklen, Cassandra N A1 - Surendran, Praveen A1 - Tang, Hua A1 - Tardif, Jean-Claude A1 - Ghanbari, Mohsen A1 - Völker, Uwe A1 - Völzke, Henry A1 - Watkins, Nicholas A A1 - Weiss, Stefan A1 - Cai, Na A1 - Kundu, Kousik A1 - Watt, Stephen B A1 - Walter, Klaudia A1 - Zonderman, Alan B A1 - Cho, Kelly A1 - Li, Yun A1 - Loos, Ruth J F A1 - Knight, Julian C A1 - Georges, Michel A1 - Stegle, Oliver A1 - Evangelou, Evangelos A1 - Okada, Yukinori A1 - Roberts, David J A1 - Inouye, Michael A1 - Johnson, Andrew D A1 - Auer, Paul L A1 - Astle, William J A1 - Reiner, Alexander P A1 - Butterworth, Adam S A1 - Ouwehand, Willem H A1 - Lettre, Guillaume A1 - Sankaran, Vijay G A1 - Soranzo, Nicole AB -

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.

VL - 182 IS - 5 ER - TY - JOUR T1 - Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations. JF - Cell Y1 - 2020 A1 - Chen, Ming-Huei A1 - Raffield, Laura M A1 - Mousas, Abdou A1 - Sakaue, Saori A1 - Huffman, Jennifer E A1 - Moscati, Arden A1 - Trivedi, Bhavi A1 - Jiang, Tao A1 - Akbari, Parsa A1 - Vuckovic, Dragana A1 - Bao, Erik L A1 - Zhong, Xue A1 - Manansala, Regina A1 - Laplante, Véronique A1 - Chen, Minhui A1 - Lo, Ken Sin A1 - Qian, Huijun A1 - Lareau, Caleb A A1 - Beaudoin, Mélissa A1 - Hunt, Karen A A1 - Akiyama, Masato A1 - Bartz, Traci M A1 - Ben-Shlomo, Yoav A1 - Beswick, Andrew A1 - Bork-Jensen, Jette A1 - Bottinger, Erwin P A1 - Brody, Jennifer A A1 - van Rooij, Frank J A A1 - Chitrala, Kumaraswamynaidu A1 - Cho, Kelly A1 - Choquet, Helene A1 - Correa, Adolfo A1 - Danesh, John A1 - Di Angelantonio, Emanuele A1 - Dimou, Niki A1 - Ding, Jingzhong A1 - Elliott, Paul A1 - Esko, Tõnu A1 - Evans, Michele K A1 - Floyd, James S A1 - Broer, Linda A1 - Grarup, Niels A1 - Guo, Michael H A1 - Greinacher, Andreas A1 - Haessler, Jeff A1 - Hansen, Torben A1 - Howson, Joanna M M A1 - Huang, Qin Qin A1 - Huang, Wei A1 - Jorgenson, Eric A1 - Kacprowski, Tim A1 - Kähönen, Mika A1 - Kamatani, Yoichiro A1 - Kanai, Masahiro A1 - Karthikeyan, Savita A1 - Koskeridis, Fotis A1 - Lange, Leslie A A1 - Lehtimäki, Terho A1 - Lerch, Markus M A1 - Linneberg, Allan A1 - Liu, Yongmei A1 - Lyytikäinen, Leo-Pekka A1 - Manichaikul, Ani A1 - Martin, Hilary C A1 - Matsuda, Koichi A1 - Mohlke, Karen L A1 - Mononen, Nina A1 - Murakami, Yoshinori A1 - Nadkarni, Girish N A1 - Nauck, Matthias A1 - Nikus, Kjell A1 - Ouwehand, Willem H A1 - Pankratz, Nathan A1 - Pedersen, Oluf A1 - Preuss, Michael A1 - Psaty, Bruce M A1 - Raitakari, Olli T A1 - Roberts, David J A1 - Rich, Stephen S A1 - Rodriguez, Benjamin A T A1 - Rosen, Jonathan D A1 - Rotter, Jerome I A1 - Schubert, Petra A1 - Spracklen, Cassandra N A1 - Surendran, Praveen A1 - Tang, Hua A1 - Tardif, Jean-Claude A1 - Trembath, Richard C A1 - Ghanbari, Mohsen A1 - Völker, Uwe A1 - Völzke, Henry A1 - Watkins, Nicholas A A1 - Zonderman, Alan B A1 - Wilson, Peter W F A1 - Li, Yun A1 - Butterworth, Adam S A1 - Gauchat, Jean-François A1 - Chiang, Charleston W K A1 - Li, Bingshan A1 - Loos, Ruth J F A1 - Astle, William J A1 - Evangelou, Evangelos A1 - van Heel, David A A1 - Sankaran, Vijay G A1 - Okada, Yukinori A1 - Soranzo, Nicole A1 - Johnson, Andrew D A1 - Reiner, Alexander P A1 - Auer, Paul L A1 - Lettre, Guillaume AB -

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.

VL - 182 IS - 5 ER -