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Article

An Integrative Computational Approach to Evaluate Genetic Markers for Bipolar Disorder.

Scientific reports - 27 Jul 2017

Xu Yong, Wang Jun, Rao Shuquan, Ritter McKenzie, Manor Lydia C, Backer Robert, Cao Hongbao, Cheng Zaohuo, Liu Sha, Liu Yansong, Tian Lin, Dong Kunlun, Yao Shugart Yin, Wang Guoqiang, Zhang Fuquan

Abstract excerpt

Studies to date have reported hundreds of genes connected to bipolar disorder (BP). However, many studies identifying candidate genes have lacked replication, and their results have, at times, been inconsistent with one another. This paper, therefore, offers a computational workflow that can curate and evaluate BP-related genetic data. Our method integrated large-scale literature data and gene expression data...

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Identifiers

PMID: 28751646
DOI: 10.1038/s41598-017-05846-4
PMCID: PMC5532256

Genes

BDNF
DRD1
DRD2
DRD3
DRD4
GRIK5
GRM1

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