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

ABSTRACT:

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 detected multiple risky behaviors related GO terms and brain related diseases, such as regulation of neuron differentiation (adjusted P value = 2.84×10^-5), autism spectrum disorder (adjusted P value =1.81×10^-27) and intelligence (adjusted P value =5.89×10^-15).

Conclusion

We reported multiple candidate genes and GO terms shared by the four risky behaviors, providing novel clues for understanding the genetic mechanism of ri

SUBMITTER: Ye J 

PROVIDER: S-EPMC7066886 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature