Nish Chaturvedi

The paper evaluates whether natural selection contributes to higher cardiometabolic disease risk in South Asians by analyzing genetic differentiation at disease-associated loci.

This study identifies 16 new genetic loci associated with plasma N-glycosylation in 10,000 individuals and links them to liver disease and inflammatory proteins.

This paper improves cerebrovascular brain age predictions by harmonizing arterial spin labeling (ASL) features across multiple cohorts using various methods, showing that ASL-specific harmonization enhances model performance.

This study evaluates the performance of European-derived polygenic risk scores for cardiometabolic traits in multi-ancestry populations, finding better performance in Europeans than in South Asians and African Caribbeans.

The paper uses Mendelian randomization and clinical/biological evidence to prioritize lipid-modifying drug targets for coronary heart disease prevention.

This paper uses Mendelian randomization to examine causal relationships between glycaemia, cognitive function, brain structure, and dementia in UK Biobank data, finding little evidence of causal associations.

The DPUK Data Portal provides secure access to cohort data for dementia research, supporting multi-modal analyses and collaborations across multiple institutions.

The paper examines the effects of CETP and HMGCR genetic inhibition on lipoprotein profiles and CHD risk, finding distinct impacts on cholesterol and triglyceride compositions.