Evidence map›Paper›PMID 42693481›Full record

ArticleGenome medicine2026

A multi-ancestry polygenic risk score for body mass index predicts longitudinal weight change.

Tianyuan Lu, Lily N Stalter, Kate V Lauer, Bret M Hanlon, Wenmin Zhang, Luke M Funk

Abstract read
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tianyuan LuDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 1007E-610 Walnut St, Madison, WI, 53726, USA. tianyuan.lu@wisc.edu.ORCID https://orcid.org/0000-0002-5664-5698
Lily N StalterDepartment of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Kate V LauerDepartment of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Bret M HanlonDepartment of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Wenmin ZhangRegeneron Genetics Center, Tarrytown, NY, USA.
Luke M FunkDepartment of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.

Funding

Advancing statistical genetics tools for reliable drug target discovery and treatment optimizationR35GM162188 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Tianyuan Lu · 2026 to 2026
$414k
NIGMS NIH HHS R35 GM162188NIGMS NIH HHS R35GM162188
6 · The paper itself

Abstract

backgroundIdentifying individuals at risk for future weight gain is challenging, partly because associations with traditional clinical risk factors may be biased by confounding and reverse causation. Polygenic risk scores (PRS) provide a stable, lifelong measure of genetic predisposition to obesity. However, existing PRS have not been evaluated for their association with longitudinal weight change in adulthood and often lack generalizability across diverse genetic ancestry groups.

methodsWe conducted ancestry-specific genome-wide association study meta-analyses of body mass index (BMI) in populations of European, African or African American, Admixed American, East Asian, and South Asian ancestries and developed ancestry-specific PRS. A multi-ancestry polygenic risk score (MAPRS) was trained using ancestry-specific PRS in a model selection dataset (N = 39,685) from the All of Us Research Program (AoU). We evaluated the MAPRS in an independent AoU model evaluation dataset (N = 158,743) for BMI prediction and in a separate AoU test dataset (N = 78,219) with repeated measurements over 1.5-2.5 years for weight change prediction. The outcomes included change in BMI and ≥ 10% or ≥ 5% total body weight (TBW) gain. We further examined the relationship between MAPRS and 12 clinical risk factors commonly comorbid with obesity in relation to weight change.

resultsThe MAPRS captured 7.05% of the variance in measured BMI in the AoU model evaluation dataset and demonstrated improved generalizability across all non-European genetic ancestry groups. In the AoU test dataset, conditioned on baseline BMI at the second-to-last measurement, a one SD increase in MAPRS was associated with a 0.16 kg/m

conclusionsWe developed an MAPRS for BMI that represents a robust and generalizable risk factor for longitudinal weight gain in adulthood, providing a foundation for genetically informed risk stratification and earlier, more targeted obesity prevention strategies.

Indexed as

Body Mass IndexMultifactorial InheritanceObesityWeight GainAdultFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreGenome-Wide Association StudyHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsBody mass indexLongitudinal analysisMulti-ancestryPolygenic risk scoreWeight gain

Identifiers

PMID42693481
PMCPMC13543510

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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.