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Nature Genetics|December 6, 2016
Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiationAudrey Y Chu, Xuan Deng, Virginia A Fisher, et al.
Human Molecular Genetics|February 27, 2022
Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetesNatalia Pervjakova, Gunn-Helen Moen, Maria-Carolina Borges, et al.
Plos Genetics|June 14, 2012
Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese casesJohn R B Perry, Benjamin F Voight, Loïc Yengo, et al.
Diabetologia|March 28, 2013
Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4R C W Ma, C Hu, C H Tam, et al.
American Journal of Respiratory and Critical Care Medicine|November 12, 2019
Genome-Wide Association Study of Susceptibility to Idiopathic Pulmonary FibrosisRichard J Allen, Beatriz Guillen-Guio, Justin M Oldham, et al.
Nature Genetics|December 14, 2011
Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east AsiansYoon Shin Cho, Chien-Hsiun Chen, Cheng Hu, et al.
Nature Communications|June 1, 2026
Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effectsCaroline Brito Nunes, Valentina Rukins, Aminata H Cisse, et al.
Diabetes|July 16, 2016
Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity LociGeoffrey A Walford, Stefan Gustafsson, Denis Rybin, et al.
Cancer Medicine|April 3, 2018
Genetic overlap between endometriosis and endometrial cancer: evidence from cross-disease genetic correlation and GWAS meta-analysesJodie N Painter, Tracy A O'Mara, Andrew P Morris, et al.
Communications Biology|September 24, 2025
Association of genetic scores related to insulin resistance with neurological outcomes in ancestrally diverse cohorts from the Trans-Omics for Precision Medicine (TOPMed) programChloé Sarnowski, Yixin Zhang, Farah Ammous, et al.
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