A Knowledge-Based Weighting Framework to Boost the Power of Genome-Wide Association Studies

BACKGROUND: We are moving to second-wave analysis of genome-wide association studies (GWAS), characterized by comprehensive bioinformatical and statistical evaluation of genetic associations. Existing biological knowledge is very valuable for GWAS, which may help improve their detection power partic...

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Detalles Bibliográficos
Autores principales: Li, Miao-Xin, Sham, Pak C., Cherny, Stacey S., Song, You-Qiang
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013112/
https://www.ncbi.nlm.nih.gov/pubmed/21217833
http://dx.doi.org/10.1371/journal.pone.0014480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013112/
https://www.ncbi.nlm.nih.gov/pubmed/21217833
http://dx.doi.org/10.1371/journal.pone.0014480

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