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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Detalles Bibliográficos
Autores principales: Mägi, Reedik, Horikoshi, Momoko, Sofer, Tamar, Mahajan, Anubha, Kitajima, Hidetoshi, Franceschini, Nora, McCarthy, Mark I., Morris, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Association Studies Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5755684/
https://www.ncbi.nlm.nih.gov/pubmed/28911207
http://dx.doi.org/10.1093/hmg/ddx280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5755684/
https://www.ncbi.nlm.nih.gov/pubmed/28911207
http://dx.doi.org/10.1093/hmg/ddx280

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