Evidence map›Paper›PMID 40969326›Full record

ArticleFrontiers in genetics2025

Validation of a genome-wide polygenic score for body mass index in South Asians.

Ramesh Menon, Nikhat Khan, Sandeep Charugulla, Akshi Bassi, Pooja Dangare, Akshay Dedaniya, Aakanksha Pant, Rammurthy Anjanappa, Praveena L Samson, Uthra Satagopan and 4 more

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Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Ramesh MenonMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Nikhat KhanGenetics Department, Indus Health Plus, Pune, India.
Sandeep CharugullaMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Akshi BassiMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Pooja DangareMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Akshay DedaniyaGenetics Department, Indus Health Plus, Pune, India.
Aakanksha PantGenetics Department, Indus Health Plus, Pune, India.
Rammurthy AnjanappaMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Praveena L SamsonMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Uthra SatagopanMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Sakthivel MuruganMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Amol NaikawadiGenetics Department, Indus Health Plus, Pune, India.
Vedam L RamprasadMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Ravi GuptaMedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a complex disorder, manifested by the interaction of inherited and environmental factors and modulated by a person's lifestyle habits. India has witnessed more than a two-fold increase in the number of overweight adults in the last 30 years. The polygenic risk score (PRS) quantitatively measures an individual's risk for common diseases. The PRS for obesity have been validated in the Caucasian population but not in the South Asian (SAS) population. In this study, we benchmarked and validated the existing genome-wide PRS model of obesity with 2.1 million variants in the SAS population. We analyzed a total of 14,263 individuals from three different South Asian cohorts. We compared the risk score with the body mass index (BMI) categories (underweight, normal weight, overweight, and obese) in all three cohorts. High PRS was associated with increased BMI in all the three cohorts. This study also compared validation results from another population-specific PRS model for the BMI. We conclude that high PRS is associated with high BMI in South Asians. Our study suggests that the PRS score can perhaps be an early predictor of overweight and obesity in the South Asian population.

Indexed as

genetic screeningobesitypolygenic risk scoreSouth Asianvalidation studies

Identifiers

PMID40969326
PMCPMC12441606

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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.