Evidence map›Paper›PMID 32680568›Full record

ArticleHereditas2020

Re-testing reported significant SNPs related to suicide in a historical high -risk isolated population from north east India.

Gaurav Gupta, Ravi Deval, Anshuman Mishra, Shashank Upadhyay, Piyoosh Kumar Singh, V R Rao

Open access · goldAbstract read
In one paragraph

Article in Hereditas, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 54% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Gaurav GuptaDepartment of Biotechnology, Invertis University, Bareilly (U.P), India.
Ravi DevalDepartment of Biotechnology, Invertis University, Bareilly (U.P), India.
Anshuman MishraVBRI Innovation Centre, New Delhi, India.
Shashank UpadhyayDepartment of Biotechnology, Invertis University, Bareilly (U.P), India.
Piyoosh Kumar SinghDepartment of Anthropology, Delhi University, Delhi, India.
V R RaoDepartment of Genetics, Osmania University, Hyderabad, 500007, India. profraovr@gmail.com.
Invertis University · INInternational Development Research Centre · INOsmania University · INUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic 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.

methodsTwo 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.

resultsSeven 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.

conclusionsSmall 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.

Indexed as

AllelesGenetic Association StudiesGenetic Predisposition to DiseasePolymorphism, Single NucleotideSuicideAdolescentAdultCase-Control StudiesFemaleGenome-Wide Association StudyHumansIndiaMaleOdds RatioPopulation SurveillanceRisk AssessmentGWASReplicationSNPsSuicide

Identifiers

PMID32680568
PMCPMC7368720
OpenAlexW3042286623

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.