Evidence map›Paper›PMID 38712191›Full record

ArticlemedRxiv : the preprint server for health sciences2024

A cross ancestry genetic study of psychiatric disorders from India.

Bharath Holla, Jayant Mahadevan, Suhas Ganesh, Reeteka Sud, Meghana Janardhanan, Srinivas Balachander, Nora Strom, Manuel Mattheisen, Patrick F Sullivan, Hailiang Huang and 10 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Bharath HollaDepartment of Integrative Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India.
Jayant MahadevanDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Suhas GaneshDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Reeteka SudDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.ORCID 0000-0002-7866-6983
Meghana JanardhananDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Srinivas BalachanderDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Nora StromInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.
Manuel MattheisenInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.
Patrick F SullivanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Hailiang HuangAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA02114, USA.
Peter ZandiDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Vivek BenegalDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Yc Janardhan ReddyDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Sanjeev JainDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
cVEDA collaborators
ADBS-CBM consortium
iPSYCH OCD consortium
NORDiC OCD & Related Disorders Consortium
Meera PurushottamDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Biju ViswanathDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.

Funding

1/4 Asian Bipolar Genetics Network (A-BIG-NET)R01MH130675 · NIMH · BROAD INSTITUTE, INC. · PI Hailiang Huang · 2022 to 2026
$9.0M
2/2 Genetics at an extreme: an efficient genomic study of individuals with clinically severe major depression receiving ECTR01MH121545 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2019 to 2023
$2.9M
NIMH NIH HHS R01 MH121545NIMH NIH HHS R01 MH130675Wellcome Trust
6 · The paper itself

Abstract

Genome-wide association studies across diverse populations may help validate and confirm genetic contributions to risk of disease. We estimated the extent of population stratification as well as the predictive accuracy of polygenic scores (PGS) derived from European samples to a data set from India. We analysed 2685 samples from two data sets, a population neurodevelopmental study (cVEDA) and a hospital-based sample of bipolar affective disorder (BD) and obsessive-compulsive disorder (OCD). Genotyping was conducted using Illumina's Global Screening Array. Population structure was examined with principal component analysis (PCA), uniform manifold approximation and projection (UMAP), support vector machine (SVM) ancestry predictions, and admixture analysis. PGS were calculated from the largest available European discovery GWAS summary statistics for BD, OCD, and externalizing traits using two Bayesian methods that incorporate local linkage disequilibrium structures (PGS-CS-auto) and functional genomic annotations (SBayesRC). Our analyses reveal global and continental PCA overlap with other South Asian populations. Admixture analysis revealed a north-south genetic axis within India (

Identifiers

PMID38712191
PMCPMC11071591

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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.