Questionnaire-Based Polyexposure Assessment Outperforms Polygenic Scores for Classification of Type 2 Diabetes in a Multiancestry Cohort
Authors' conclusion
Our findings in a multiancestry cohort elucidate how type 2 diabetes odds can be attributed to clinical, genetic, and environmental factors and emphasize the need for exposome data in disease-risk association studies. Race-based differences in predictive scores highlight the need for genetic and exposome-wide studies in diverse populations.
Study context
- Population
- Participants of the multiancestry Personalized Environment and Genes Study
- Exposure
- Polyexposure score vs polygenic score and overall clinical score
- Outcome
- T2D
Methodological detailsmultiancestry cohort, logistic regression adjusted for age, BMI, household income, self-reported sex and race
- Multiancestry cohort
- Logistic regression adjusted for age, BMI, household income, self-reported sex and race
Main finding
As reported in the abstract
- Significant associations of exposures with T2D, including novel associations of asbestos and coal dust exposure
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Observational data: associations, not effects.
Original publication
Questionnaire-Based Polyexposure Assessment Outperforms Polygenic Scores for Classification of Type 2 Diabetes in a Multiancestry Cohort. Diabetes Care. Published 16 November 2022. doi:10.
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