An Integrative Computational Approach to Evaluate Genetic Markers for Bipolar Disorder

An Integrative Computational Approach to Evaluate Genetic Markers for Bipolar Disorder

Abstract 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 ca...

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Bibliographic Details
Main Authors: Yong Xu, Jun Wang, Shuquan Rao, McKenzie Ritter, Lydia C. Manor, Robert Backer, Hongbao Cao, Zaohuo Cheng, Sha Liu, Yansong Liu, Lin Tian, Kunlun Dong, Yin Yao Shugart, Guoqiang Wang, Fuquan Zhang
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-05846-4

Internet

https://doi.org/10.1038/s41598-017-05846-4

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