Evidence map›Paper›PMID 42260587›Full record

ArticleJournal of translational medicine2026

Meta-ERS: an exposome-based risk score using non-genetic factors to guide osteoporosis prevention.

Yi Zheng, Yucan Li, Yawen Gao, Jincheng Li, Chen Suo, Yanfeng Jiang, Li Jin, Kelin Xu, Xingdong Chen

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In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yi ZhengState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Public Health, Human Phenome Institute, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Yucan LiState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Public Health, Human Phenome Institute, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Yawen GaoDepartment of Epidemiology, School of Public Health, and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Jincheng LiState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Public Health, Human Phenome Institute, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Chen SuoDepartment of Biostatistics, School of Public Health, and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Yanfeng JiangState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Public Health, Human Phenome Institute, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Li JinState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Public Health, Human Phenome Institute, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Kelin XuDepartment of Biostatistics, School of Public Health, and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China. xukelin@fudan.edu.cn.ORCID 0000-0002-6788-4256
Xingdong ChenState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Public Health, Human Phenome Institute, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China. xingdongchen@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporosis is influenced by both genetic and environmental factors, yet the relative contribution of the exposome remains unclear. This study aimed to systematically identify non-genetic exposures related to osteoporosis and develop an exposome risk score (ERS) to evaluate individual osteoporosis susceptibility.

methodsWe conducted an exposome-wide analysis of 477,792 UK Biobank participants to identify key exposures associated with osteoporosis. The selected exposures were combined into a weighted Meta-ERS and validated in the Scotland/Wales cohort. The Meta-ERS was further compared with polygenic risk scores (PRS) and linked to plasma proteomics to explore underlying biological pathways.

resultsWe identified 41 independent non-genetic exposures spanning socioeconomic status, mental health, sleep, diet, smoking, physical activity, environment, and marital status, with socioeconomic status and mental health emerging as the most significant drivers. Based on the identified exposures, we constructed eight domain-specific exposure risk scores and integrated them into a weighted Meta-ERS. The Meta-ERS (R

conclusionsThe Meta-ERS facilitates the quantification of individual osteoporosis risk and identifies modifiable exposures for targeted prevention. Its application can enable personalized risk stratification and guide lifestyle or environmental interventions.

Indexed as

ExposomeOsteoporosisAgedFemaleHumansMaleMiddle AgedProteomicsRisk AssessmentRisk FactorsUK BiobankCohort studyExposomeGenetic riskOsteoporosisProteomics

Identifiers

PMID42260587
PMCPMC13474854

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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.