GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation

Results from Genome-Wide Association Studies (GWAS) have shown that complex diseases are often affected by many genetic variants with small or moderate effects. Identifications of these risk variants remain a very challenging problem. There is a need to develop more powerful statistical methods to l...

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Detalles Bibliográficos
Autores principales: Chung, Dongjun, Yang, Can, Li, Cong, Gelernter, Joel, Zhao, Hongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230845/
https://www.ncbi.nlm.nih.gov/pubmed/25393678
http://dx.doi.org/10.1371/journal.pgen.1004787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230845/
https://www.ncbi.nlm.nih.gov/pubmed/25393678
http://dx.doi.org/10.1371/journal.pgen.1004787

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