David J. Hunter

This study conducts a large-scale GWAS meta-analysis of nevus count, identifying 29 new loci and highlighting immune-related pathways relevant to melanoma risk.

This study identifies 63 AMD risk loci across multiple ancestries, highlighting ancestry-dependent genetic heterogeneity and potential therapeutic targets.

The paper compares two polygenic risk scores for breast cancer, hypertension, and dementia in the UK Biobank, finding substantial discordance in individual risk predictions despite similar overall performance.

This paper identifies novel pleiotropic risk loci for melanoma and nevus density, implicating multiple biological pathways and gene expression under MITF regulation.

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.

This paper shows that explicitly modeling genetic ancestry improves polygenic risk scores and BLUP prediction accuracy for complex traits by reducing ancestry-related biases in SNP effect estimation.