John Russell Thompson

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.

This paper evaluates the performance of two-sample Mendelian randomization methods in one-sample MR analyses, finding that most methods perform well except MR-Egger, which shows bias due to confounding.

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.

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.