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Publications

Proteo-genomic analyses in relatively lean Chinese adults identify proteins and pathways that affect general and central adiposity levels.

Iona A. et al, (2024), Commun Biol, 7

Measured and genetically predicted protein levels and cardiovascular diseases in UK Biobank and China Kadoorie Biobank.

Lind L. et al, (2024), Nat Cardiovasc Res

Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations.

Argentieri MA. et al, (2024), Nat Med, 30, 2450 - 2460

Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson’s Disease: findings from the UK Biobank

Acquah A. et al, (2024)

Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults.

Pozarickij A. et al, (2024), Nat Commun, 15

Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality.

Yuan H. et al, (2024), NPJ Digit Med, 7

PCSK9 genetic variants and risk of vascular and non-vascular diseases in Chinese and UK populations.

Holmes MV. et al, (2024), Eur J Prev Cardiol, 31, 1015 - 1025

Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.

Yao P. et al, (2024), Diabetes Care, 47, 1012 - 1019

Association of daily steps with incident non-alcoholic fatty liver disease: Evidence from the UK Biobank cohort

Fulda ES. et al, (2024)

Self-Supervised Machine Learning to Characterise Step Counts from Wrist-Worn Accelerometers in the UK Biobank.

Small SR. et al, (2024), Med Sci Sports Exerc

Iron Status and Risk of Heart Disease, Stroke, and Diabetes: A Mendelian Randomization Study in European Adults.

Liu Y. et al, (2024), J Am Heart Assoc, 13

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Yuan H. et al, (2024), npj Digital Medicine

A Mendelian randomization study identifies proteins involved in neurodegenerative diseases

Belbasis L. et al, (2024)

MTHFR and risk of stroke and heart disease in a low-folate population: a prospective study of 156 000 Chinese adults.

Bennett DA. et al, (2023), Int J Epidemiol, 52, 1862 - 1869

Conventional and genetic associations of adiposity with 1463 proteins in relatively lean Chinese adults.

Yao P. et al, (2023), Eur J Epidemiol, 38, 1089 - 1103

Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank

Small SR. et al, (2023)

Genetically Predicted Differences in Systolic Blood Pressure and Risk of Cardiovascular and Noncardiovascular Diseases: A Mendelian Randomization Study in Chinese Adults.

Clarke R. et al, (2023), Hypertension

Validation of the World Health Organization non-laboratory-based cardiovascular disease risk prediction models in ten diverse regions of China

Chen Z. et al, (2022), Bulletin of the World Health Organization

Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000–18: a geospatial modelling study

Frostad JJ. et al, (2022), The Lancet Global Health, 10, e1395 - e1411

Systematic review of the utility of the frailty index and frailty phenotype to predict all-cause mortality in older people.

Kim DJ. et al, (2022), Syst Rev, 11

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