Explicating heterogeneity of complex traits has strong potential for improving GWAS efficiency

Common strategy of genome-wide association studies (GWAS) relying on large samples faces difficulties, which raise concerns that GWAS have exhausted their potential, particularly for complex traits. Here, we examine the efficiency of the traditional sample-size-centered strategy in GWAS of these tra...

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Detalles Bibliográficos
Autores principales: Kulminski, Alexander M., Loika, Yury, Culminskaya, Irina, Arbeev, Konstantin G., Ukraintseva, Svetlana V., Stallard, Eric, Yashin, Anatoliy I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5064392/
https://www.ncbi.nlm.nih.gov/pubmed/27739495
http://dx.doi.org/10.1038/srep35390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5064392/
https://www.ncbi.nlm.nih.gov/pubmed/27739495
http://dx.doi.org/10.1038/srep35390

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