Validation of a Genome-Wide Polygenic Score for Obesity in South Asians

Validation of a Genome-Wide Polygenic Score for Obesity in South Asians | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Validation of a Genome-Wide Polygenic Score for Obesity in South Asians Ramesh Menon, Nikhat Khan, Sandeep Charugulla, Akshi Bassi, Pooja Dangre, and 9 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4460496/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version 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 two-fold increase in the number of overweight adults in the last 30 years. Polygenic risk score (PRS) quantitatively measures an individual’s risk for common diseases. PRS has been studied in obesity in Caucasian population and has not been validated in South Asian (SAS) population. In this study we validate the existing genome-wide PRS model of obesity with 2.1 million variants in SAS population. We analysed a total of 14,263 individuals from 3 different South Asian cohorts. We compare the risk score with the BMI categories (under-weight, normal weight, over-weight and obese) in all 3 cohorts. High BMI-PRS was associated with increased BMI in all the 3 cohorts. Top 10% high polygenic risk individuals constituted nearly twice the number of overweight and obese individuals as compared to normal BMI individuals in all the 3 cohorts. We conclude that high polygenic risk score is associated with high BMI in South Asians. Our study suggests that PRS score can perhaps be an early predictor of unhealthy weight gain in the South Asian population. Biological sciences/Genetics/Genetic association study Biological sciences/Genetics/Genetic markers Biological sciences/Genetics/Genotype Biological sciences/Genetics/Population genetics Biological sciences/Computational biology and bioinformatics Biological sciences/Genetics Health sciences/Diseases Health sciences/Health care Health sciences/Risk factors Full Text Additional Declarations No competing interests reported. Supplementary Files Supplementarymarterial.pdf Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4460496","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":312382280,"identity":"c96fab20-ccc3-4d8a-86ef-19b19bc86a8c","order_by":0,"name":"Ramesh Menon","email":"","orcid":"","institution":"MedGenome Labs Pvt. 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