1. Re-testing reported significant SNPs related to suicide in a historical high -risk isolated population from north east India
- Author
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Piyoosh Kumar Singh, Gaurav Gupta, Vadlamudi Raghavendra Rao, Ravi Deval, Shashank Upadhyay, and Anshuman Mishra
- Subjects
Adult ,Male ,Candidate gene ,lcsh:QH426-470 ,Adolescent ,Population ,India ,Replication ,Genome-wide association study ,Single-nucleotide polymorphism ,Biology ,Polymorphism, Single Nucleotide ,Risk Assessment ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Risk Factors ,Genetic model ,Genetics ,Odds Ratio ,SNP ,Humans ,GWAS ,Genetic Predisposition to Disease ,education ,Alleles ,Genetic Association Studies ,030304 developmental biology ,Genetic association ,0303 health sciences ,education.field_of_study ,Brief Report ,General Medicine ,Twin study ,lcsh:Genetics ,Suicide ,Case-Control Studies ,Population Surveillance ,Female ,030217 neurology & neurosurgery ,Genome-Wide Association Study ,SNPs - Abstract
Background Genetic diathesis of suicide is supported by family and twin studies. Few candidate gene pathways are known, but does not explain fully the complexity of suicide genetic risk. Recent investigations opting for Genome-Wide Association Studies (GWAS) resulted in finding additional targets, but replication remained a challenge. In this respect small isolated population approach in several complex disease phenotypes is found encouraging. The present study is an attempt to re-test some of the reported significant SNPs for suicide among a small historical high- risk isolated population from Northeast India. Methods Two hundred ten cases (inclusive of depressed, suicide attempter and depressed + suicide attempter) and 249 controls were considered in the present study which were evaluated for the psychiatric parameters. Sixteen reported significant SNPs for suicide behaviour were re-tested using association approach under various genetic models. Networking by GeneMANIA tool was used for function prediction of the associated genes. Results Seven SNPs (of 6 genes) remained significant in different genetic models. On networking genes with significant SNPs IL7, RHEB, CTNN3, KCNIP4, ARFGEF3 are found in interaction with already known candidate gene pathways while SNP rs1109089 (RHEB) gained further support from earlier expression studies. NUGGC gene is in complete isolation. Conclusions Small population approach in replicating significant SNPs is useful in complex phenotypes like suicide. This study explored the region-specific demographics of India by identifying vulnerable population for suicide via genetic association analysis in bringing into academic and administrative forum, the importance of suicide as a disease and its biological basis.
- Published
- 2020