Kay‐Tee Khaw

Random glucose GWAS in 493,036 individuals provides insights into diabetes pathophysiology, complications and treatment stratification

This study performs a GWAS on random glucose measurements in 493,036 individuals, identifying 128 loci associated with glycaemic traits and providing insights into diabetes biology and treatment.

Genome-wide association study identifies 48 common genetic variants associated with handedness.

This study identifies 48 genetic variants associated with handedness using a large GWAS, highlighting polygenic nature and genetic links to neuropsychiatric traits.

The effect of sample size on polygenic hazard models for prostate cancer

This paper evaluates how sample size affects polygenic hazard score models for prostate cancer, finding that 20-30k samples are needed for discovery models, but 10k suffice if SNPs are pre-established.

Cross-platform genetic discovery of small molecule products of metabolism and application to clinical outcomes

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.

Genome-wide association study provides new insights into the genetic architecture and pathogenesis of heart failure

This study conducts a large GWAS on heart failure, identifying 12 genetic loci with associations to CAD, atrial fibrillation, and reduced left ventricular function, and provides causal evidence for several risk factors.

Long-Term Exposure to Elevated Lipoprotein(a) Levels, Parental Lifespan and Risk of Mortality

This study investigates the association between elevated Lp(a) levels, parental lifespan, and long-term mortality risk using genetic and observational data.

A genetic hazard score to personalize prostate cancer screening, applied to population data

The paper evaluates a polygenic hazard score for prostate cancer screening, showing it improves positive predictive value by adjusting screening age based on genetic risk.

Large-scale transcriptome-wide association study identifies new prostate cancer risk regions

This study integrates a large prostate cancer GWAS with gene expression data to identify 235 genes associated with risk, prioritizing causal genes through Bayesian credible sets.

A genetic risk score to guide age-specific, personalized prostate cancer screening

This paper develops a genetic risk score to personalize prostate cancer screening age based on polygenic hazard scores and validates its predictive power in a separate dataset.