Rod A. Lea

This study uses multivariate genomic modelling to identify shared and ancestry-specific genetic loci associated with cardio-renal-metabolic multimorbidity across European, East Asian, and African populations.

The paper performs whole exome sequencing on CSVD patients to identify novel gene associations and finds significant variants in ABCC6, MYH11, NOTCH1, and seven other genes.

The paper identifies nine nuclear-encoded SNPs associated with exercise response in the Gene SMART cohort using whole-mitochondrial genome sequencing and composite trait analysis.

The paper develops a Bayesian model to identify cell-type specific methylation variation in heterogeneous samples and finds it detects more differentially methylated loci in specific cell types.

The paper develops a Bayesian model selection algorithm to identify cell-specific DNA methylation patterns, accounting for cell lineage and sex effects, and shows that many CpG markers are differentially methylated across multiple cell types.

This paper applies bootstrap sub-sampling to GWAS data to improve the detection of true genetic associations in Type 1 Diabetes, resulting in a more informative 5-SNP signature set.