Wei Gan
PhD
Postdoctoral researcher
My current research is focused on using large-scale genetic data such as T2D-GENES /GoT2D/DIAGRAM Consortium, UK Biobank and China Kadoorie Biobank obtained from next-generation sequencing and GWAS approaches to 1) identify and characterise genetic variants influencing predisposition to type 2 diabetes and its related traits; 2) investigation the causal relationship between an exposure or intermediate phenotype and type 2 diabetes/cardiovascular diseases using Mendelian randomisation approaches; 3) identify genetic factors contributing to weight loss after bariatric surgery procedures. I received my Ph.D degree at the Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences. In 2014, I joined Professor Mark McCarthy's group as postdoc researcher. I'm now also collaborating with Prof Rachel Batterham at UCLH and Professor Zhengming Chen at CTSU, Oxford University.
Recent publications
Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification.
Journal article
Climente-González H. et al, (2025), Commun Med (Lond), 5
Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults.
Journal article
Pozarickij A. et al, (2024), Nat Commun, 15
Iron Status and Risk of Heart Disease, Stroke, and Diabetes: A Mendelian Randomization Study in European Adults.
Journal article
Liu Y. et al, (2024), J Am Heart Assoc, 13
Genetics of skeletal proportions in two different populations.
Journal article
Bartell E. et al, (2023), bioRxiv
Conjugated linoleic acid supplements preserve muscle in high-body-fat adults: A double-blind, randomized, placebo trial.
Journal article
Chang H. et al, (2020), Nutr Metab Cardiovasc Dis, 30, 1777 - 1784
