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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Detalhes bibliográficos
Publicado no:Nat Neurosci
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6646046/
https://ncbi.nlm.nih.gov/pubmed/30988527
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41593-019-0382-7
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