A Bayesian framework for multiple trait colocalization from summary association statistics

MOTIVATION: Most genetic variants implicated in complex diseases by genome-wide association studies (GWAS) are non-coding, making it challenging to understand the causative genes involved in disease. Integrating external information such as quantitative trait locus (QTL) mapping of molecular traits...

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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Giambartolomei, Claudia, Zhenli Liu, Jimmy, Zhang, Wen, Hauberg, Mads, Shi, Huwenbo, Boocock, James, Pickrell, Joe, Jaffe, Andrew E, Pasaniuc, Bogdan, Roussos, Panos
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
Assuntos:
Original Papers
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6061859/
https://ncbi.nlm.nih.gov/pubmed/29579179
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty147
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