Trans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution

Trans-ethnic meta-analysis of genome-wide association studies (GWAS) across diverse populations can increase power to detect complex trait loci when the underlying causal variants are shared between ancestry groups. However, heterogeneity in allelic effects between GWAS at these loci can occur that...

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Bibliografiset tiedot
Julkaisussa:Hum Mol Genet
Päätekijät: Mägi, Reedik, Horikoshi, Momoko, Sofer, Tamar, Mahajan, Anubha, Kitajima, Hidetoshi, Franceschini, Nora, McCarthy, Mark I., Morris, Andrew P.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2017
Aiheet:
Association Studies Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5755684/
https://ncbi.nlm.nih.gov/pubmed/28911207
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/hmg/ddx280
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