A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data

Genome-wide association studies (GWAS) have identified >100 schizophrenia (SCZ)-associated loci, but using these findings to illuminate disease biology remains a challenge. Here, we present integrative RIsk Gene Selector (iRIGS), a Bayesian framework that integrates multi-omics data and gene netw...

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Detalles Bibliográficos
Autores principales: Wang, Quan, Chen, Rui, Cheng, Feixiong, Wei, Qiang, Ji, Ying, Yang, Hai, Zhong, Xue, Tao, Ran, Wen, Zhexing, Sutcliffe, James S., Liu, Chunyu, Cook, Edwin H., Cox, Nancy J., Li, Bingshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646046/
https://www.ncbi.nlm.nih.gov/pubmed/30988527
http://dx.doi.org/10.1038/s41593-019-0382-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646046/
https://www.ncbi.nlm.nih.gov/pubmed/30988527
http://dx.doi.org/10.1038/s41593-019-0382-7

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