A genome-wide multiphenotypic association analysis identified candidate genes and gene ontology shared by four common risky behaviors

Background: Risky behaviors can lead to huge economic and health losses. However, limited efforts are paid to explore the genetic mechanisms of risky behaviors. Result: MASH analysis identified a group of target genes for risky behaviors, such as APBB2, MAPT and DCC. For GO enrichment analysis, FUMA...

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Detalles Bibliográficos
Autores principales: Ye, Jing, Liu, Li, Xu, Xiaoqiao, Wen, Yan, Li, Ping, Cheng, Bolun, Cheng, Shiqiang, Zhang, Lu, Ma, Mei, Qi, Xin, Liang, Chujun, Kafle, Om Prakash, Wu, Cuiyan, Wang, Sen, Wang, Xi, Ning, Yujie, Chu, Xiaomeng, Niu, Lin, Zhang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066886/
https://www.ncbi.nlm.nih.gov/pubmed/32090979
http://dx.doi.org/10.18632/aging.102812

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