ArticleDiabetes care2023
Association and Interaction of Genetics and Area-Level Socioeconomic Factors on the Prevalence of Type 2 Diabetes and Obesity.
Article in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Socioeconomic position, genetic susceptibility, and epigenetic profiles in obesity across the life course: a systematic review.International journal of obesity (2005) · 2026Pooled it
- Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research.American journal of human genetics · 2026Review
- The genetics of obesity: aetiology, prevention and therapy.Nature metabolism · 2026Review
- Post-transplant diabetes mellitus after kidney transplantation: pathogenesis, risk factors, and management strategies.Frontiers in endocrinology · 2026Review
- Genetics and context for precision health in Greater Boston.Nature communications · 2025Article
- Association between neighborhood deprivation and type 2 diabetes risks among asthma patients: a nationwide population-based cohort study.Scientific reports · 2025Article
- Comment on Maddaloni et al. Bone-Vascular Axis Biomarkers: Enhancing Cardiovascular Risk Management in Type 2 Diabetes.Diabetes care · 2025Article
- Prevalence and Risk Factors of Obesity Among Type 2 Diabetic Participants in Abha, Saudi Arabia: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2025Article
- The PRIMED Consortium: Reducing disparities in polygenic risk assessment.American journal of human genetics · 2024Article
- Associations of Self-Reported Race, Social Determinants of Health, and Polygenic Risk With Coronary Heart Disease.Journal of the American College of Cardiology · 2024Article
- Socioeconomic Status and Obesity.Journal of the Endocrine Society · 2024Review
- Aspiring toward equitable benefits from genomic advances to individuals of ancestrally diverse backgrounds.American journal of human genetics · 2024Review
- Child Opportunity Index and clinical characteristics at diabetes diagnosis in youth: type 1 diabetes versus type 2 diabetes.BMJ open diabetes research & care · 2024Article
- The association of GNB5 with Alzheimer disease revealed by genomic analysis restricted to variants impacting gene function.American journal of human genetics · 2024Article
- Decoding Genetics, Ancestry, and Geospatial Context for Precision Health.medRxiv : the preprint server for health sciences · 2023Article
- Socioeconomic Disparities Across the Spectrum of Genetic Burden in Type 2 Diabetes and Obesity Risk.Diabetes care · 2023Article
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
objectiveQuantify the impact of genetic and socioeconomic factors on risk of type 2 diabetes (T2D) and obesity. RESEARCH DESIGN AND
methodsAmong participants in the Mass General Brigham Biobank (MGBB) and UK Biobank (UKB), we used logistic regression models to calculate cross-sectional odds of T2D and obesity using 1) polygenic risk scores for T2D and BMI and 2) area-level socioeconomic risk (educational attainment) measures. The primary analysis included 26,737 participants of European genetic ancestry in MGBB with replication in UKB (N = 223,843), as well as in participants of non-European ancestry (MGBB N = 3,468; UKB N = 7,459).
resultsThe area-level socioeconomic measure most strongly associated with both T2D and obesity was percent without a college degree, and associations with disease prevalence were independent of genetic risk (P < 0.001 for each). Moving from lowest to highest quintiles of combined genetic and socioeconomic burden more than tripled T2D (3.1% to 22.2%) and obesity (20.9% to 69.0%) prevalence. Favorable socioeconomic risk was associated with lower disease prevalence, even in those with highest genetic risk (T2D 13.0% vs. 22.2%, obesity 53.6% vs. 69.0% in lowest vs. highest socioeconomic risk quintiles). Additive effects of genetic and socioeconomic factors accounted for 13.2% and 16.7% of T2D and obesity prevalence, respectively, explained by these models. Findings were replicated in independent European and non-European ancestral populations.
conclusionsGenetic and socioeconomic factors significantly interact to increase risk of T2D and obesity. Favorable area-level socioeconomic status was associated with an almost 50% lower T2D prevalence in those with high genetic risk.
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Registered trials
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.