Angela Wood

This study evaluates the cost-effectiveness of polygenic risk score-stratified screening for abdominal aortic aneurysm compared to current strategies.

The paper reports LTL measurements in 474,074 UK Biobank participants, identifying factors like age, sex, ethnicity, and white cell count associated with LTL variation.

The paper identifies genetic associations between blood lipid metabolites and cardiometabolic disease loci in South Asian populations using lipidomics data from two studies.

This study identifies genetic associations with metabolite levels across multiple cohorts and links these variants to clinical outcomes like type 2 diabetes and macular telangiectasia type 2.

This study evaluates how adding polygenic risk scores and clinical biochemistry markers to conventional CVD risk models improves prediction accuracy and informs statin therapy decisions in a UK primary care setting.

ProGeM prioritizes candidate causal genes at molecular QTLs by integrating biological and genome annotations, achieving high accuracy in identifying true positives.

The paper identifies 1,927 genetic associations with 1,478 plasma proteins using 10.6 million DNA variants and 3,301 individuals, revealing new drug targets and safety concerns.

This paper develops a genomic risk score for coronary artery disease using 1.7 million variants and tests it in UK Biobank, showing it outperforms conventional risk factors in predicting CAD risk.