We are a computational genomics group studying the genetic basis of complex traits in human populations, including intermediate and end-point phenotypes. Our primary research focus is on understanding the causes and consequences of epigenetic variation in humans. Most projects in the lab are multidisciplinary and combine the analysis of large-scale genomic datasets (e.g. DNA methylation, DNA sequence, 16S microbiome) with statistical genetic and epigenetic tools.
I am a Senior Lecturer in the Department for Twin Research and Genetic Epidemiology at King's College London. My group uses computational methods to study research questions in genomics, with a focus on human epigenetic variation. Research areas include genetic and environmental basis of epigenetic variation, epigenome-wide association scans, gene-gene & gene-environment interactions, the human microbiome, and ageing. See Research for details.
Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity - Wahl et al. identify epigenetic associations that are primarily secondary to obesity and associated with increased risk of cardio-metabolic disease.
Heritable components of the human fecal microbiome are associated with visceral fat - Beaumont et al. find that heritable elements of the human microbiome are associated with visceral fat, a key cardio-metabolic disease risk factor.