1. Genome-wide association study for suicide in high–risk isolated historical population from North East India
- Author
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Gaurav Gupta, Ravi Deval, Niraj Rai, Sheikh Nizamuddin, Shashank Upadhyay, Nagarjuna Pasupuleti, Hon Keung Tony Ng, Piyoosh Kumar Singh, and V.R. Rao
- Subjects
GWAS microarray ,Small high-risk population ,Suicide risk ,Psychiatry ,Mental healing ,RZ400-408 - Abstract
Background: Suicide with complex etiology and increased global prevalence is a challenge in genome-based biomarker discovery. The present study explores whole-genome association in a small, isolated, historical tribal population of Idu Mishmi from Dibang Valley of Arunachal Pradesh, India with a high rate of suicide. Methods: Microarray genotyping (∼660,000 markers) was performed on 72 well-annotated un-related cases and controls for suicide risk. A logistic regression model adjusted for age, sex and descent was used to identify known/novel genetic markers implicated in suicide risk. STRING network analysis was implemented on significant genes found from this study, earlier re-tested SNPs genes in the same population and reported candidate genes for functional inference. Results: We found 12 SNPs (all intronic, some downstream or upstream transcript variants) from nine genes with suggestive significance (p-value
- Published
- 2022
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