ArticlePloS one2016
Investigation of Genetic Variation Underlying Central Obesity amongst South Asians.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
- Evolutionary history of disease-susceptibility loci identified in longitudinal exome-wide association studies.Molecular genetics & genomic medicine · 2019Trial
- Recalibrating Risk: A Call for South Asian-Focused Heart Failure Prediction Models.Journal of clinical medicine · 2026Review
- Adiposity and cancer: epidemiology, mechanisms and future perspectives.Nature metabolism · 2026Review
- Understanding the impact of urban exposure on obesity among middle and old-age migrants in India.PloS one · 2025Article
- Obesity and Cardiovascular Risk among South Asian Americans.Current cardiovascular risk reports · 2023Article
- Food environments and obesity: A geospatial analysis of the South Asia Biobank, income and sex inequalities.SSM - population health · 2022Article
- Obesity in Older Adults and Associations with Cardiovascular Structure and Function.Obesity facts · 2022Observational
- Review
- Obesity and Metabolic Care of Children of South Asian Ethnicity in Western Society.Children (Basel, Switzerland) · 2021Review
- Diabetes and cardiometabolic risk in South Asian youth: A review.Pediatric diabetes · 2021Review
- A low intensity dietary intervention for reducing excessive gestational weight gain in an overweight and obese pregnant cohort.Eating and weight disorders : EWD · 2020Article
- Genetics of Obesity in East Asians.Frontiers in genetics · 2020Review
- Identification of three genetic variants as novel susceptibility loci for body mass index in a Japanese population.Physiological genomics · 2018Article
- Systems Genomics of Thigh Adipose Tissue From Asian Indian Type-2 Diabetics Revealed Distinct Protein Interaction Hubs.Frontiers in genetics · 2018Article
Corrections and comments
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Authors and funding
16 authors at 8 institutions in 3 countries.
Funding
Abstract
South Asians are 1/4 of the world's population and have increased susceptibility to central obesity and related cardiometabolic disease. Knowledge of genetic variants affecting risk of central obesity is largely based on genome-wide association studies of common SNPs in Europeans. To evaluate the contribution of DNA sequence variation to the higher levels of central obesity (defined as waist hip ratio adjusted for body mass index, WHR) among South Asians compared to Europeans we carried out: i) a genome-wide association analysis of >6M genetic variants in 10,318 South Asians with focused analysis of population-specific SNPs; ii) an exome-wide association analysis of ~250K SNPs in protein-coding regions in 2,637 South Asians; iii) a comparison of risk allele frequencies and effect sizes of 48 known WHR SNPs in 12,240 South Asians compared to Europeans. In genome-wide analyses, we found no novel associations between common genetic variants and WHR in South Asians at P<5x10-8; variants showing equivocal association with WHR (P<1x10-5) did not replicate at P<0.05 in an independent cohort of South Asians (N = 1,922) or in published, predominantly European meta-analysis data. In the targeted analyses of 122,391 population-specific SNPs we also found no associations with WHR in South Asians at P<0.05 after multiple testing correction. Exome-wide analyses showed no new associations between genetic variants and WHR in South Asians, either individually at P<1.5x10-6 or grouped by gene locus at P<2.5x10-6. At known WHR loci, risk allele frequencies were not higher in South Asians compared to Europeans (P = 0.77), while effect sizes were unexpectedly smaller in South Asians than Europeans (P<5.0x10-8). Our findings argue against an important contribution for population-specific or cosmopolitan genetic variants underlying the increased risk of central obesity in South Asians compared to Europeans.
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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.