Nicholas G. Martin

This paper identifies 116 risk loci for melanoma through GWAS, links susceptibility to immunity and Wnt signaling, and develops a PRS improving risk prediction.

The paper generates and validates genome-wide genetic data for the 45 and Up Study cohort, enhancing its utility for disease risk and precision health research.

This study conducts an epigenome-wide association study (EWAS) meta-analysis of wellbeing using DNA methylation data, finding no significant methylation sites but suggesting the need for larger studies.

This study examines the association between CYP2C19 and CYP2D6 metabolizer phenotypes and amitriptyline effectiveness and tolerability in a chronic pain cohort, finding no strong associations after correction for multiple testing.

This study conducts a genome-wide association analysis of generalised anxiety symptom severity, identifying 80 significant variants and showing genetic correlations with other mental and physical health traits.

Family-based GWAS meta-analysis of 34 phenotypes shows standard GWAS effects carry sizeable confounding uncorrelated with direct genetic effects, while assortative mating likely inflates SNP heritability and genetic correlations.