Colocalization of GWAS and eQTL signals at loci with multiple signals identifies additional candidate genes for body fat distribution

Integration of genome-wide association study (GWAS) signals with expression quantitative trait loci (eQTL) studies enables identification of candidate genes. However, evaluating whether nearby signals may share causal variants, termed colocalization, is affected by the presence of allelic heterogene...

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Опубликовано в: :Hum Mol Genet
Главные авторы: Wu, Ying, Broadaway, K Alaine, Raulerson, Chelsea K, Scott, Laura J, Pan, Calvin, Ko, Arthur, He, Aiqing, Tilford, Charles, Fuchsberger, Christian, Locke, Adam E, Stringham, Heather M, Jackson, Anne U, Narisu, Narisu, Kuusisto, Johanna, Pajukanta, Päivi, Collins, Francis S, Boehnke, Michael, Laakso, Markku, Lusis, Aldons J, Civelek, Mete, Mohlke, Karen L
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2019
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General Article One
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7202621/
https://ncbi.nlm.nih.gov/pubmed/31691812
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/hmg/ddz263
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