Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study.
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...
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Public Library of Science (PLoS)
2013-09-01
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| Series: | PLoS Biology |
| Online Access: | https://doi.org/10.1371/journal.pbio.1001661 |
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| author | Christopher S Carlson Tara C Matise Kari E North Christopher A Haiman Megan D Fesinmeyer Steven Buyske Fredrick R Schumacher Ulrike Peters Nora Franceschini Marylyn D Ritchie David J Duggan Kylee L Spencer Logan Dumitrescu Charles B Eaton Fridtjof Thomas Alicia Young Cara Carty Gerardo Heiss Loic Le Marchand Dana C Crawford Lucia A Hindorff Charles L Kooperberg PAGE Consortium |
| author_facet | Christopher S Carlson Tara C Matise Kari E North Christopher A Haiman Megan D Fesinmeyer Steven Buyske Fredrick R Schumacher Ulrike Peters Nora Franceschini Marylyn D Ritchie David J Duggan Kylee L Spencer Logan Dumitrescu Charles B Eaton Fridtjof Thomas Alicia Young Cara Carty Gerardo Heiss Loic Le Marchand Dana C Crawford Lucia A Hindorff Charles L Kooperberg PAGE Consortium |
| author_sort | Christopher S Carlson |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-fb8361ed09b5421bb29d267aed506f0f |
| institution | Kabale University |
| issn | 1544-9173 1545-7885 |
| language | English |
| publishDate | 2013-09-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS Biology |
| spelling | doaj-art-fb8361ed09b5421bb29d267aed506f0f2025-08-20T03:46:12ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852013-09-01119e100166110.1371/journal.pbio.1001661Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study.Christopher S CarlsonTara C MatiseKari E NorthChristopher A HaimanMegan D FesinmeyerSteven BuyskeFredrick R SchumacherUlrike PetersNora FranceschiniMarylyn D RitchieDavid J DugganKylee L SpencerLogan DumitrescuCharles B EatonFridtjof ThomasAlicia YoungCara CartyGerardo HeissLoic Le MarchandDana C CrawfordLucia A HindorffCharles L KooperbergPAGE ConsortiumThe 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.https://doi.org/10.1371/journal.pbio.1001661 |
| spellingShingle | Christopher S Carlson Tara C Matise Kari E North Christopher A Haiman Megan D Fesinmeyer Steven Buyske Fredrick R Schumacher Ulrike Peters Nora Franceschini Marylyn D Ritchie David J Duggan Kylee L Spencer Logan Dumitrescu Charles B Eaton Fridtjof Thomas Alicia Young Cara Carty Gerardo Heiss Loic Le Marchand Dana C Crawford Lucia A Hindorff Charles L Kooperberg PAGE Consortium Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. PLoS Biology |
| title | Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. |
| title_full | Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. |
| title_fullStr | Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. |
| title_full_unstemmed | Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. |
| title_short | Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. |
| title_sort | generalization and dilution of association results from european gwas in populations of non european ancestry the page study |
| url | https://doi.org/10.1371/journal.pbio.1001661 |
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