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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Bibliografiset tiedot
Julkaisussa:Hum Mol Genet
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2019
Aiheet:
General Article One
Linkit: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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