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.
Host genetic variation impacts microbiome composition across human body sites - Blekhman et al. reconstruct host genomes from the Human Microbiome project "contamination" data.
Power and Sample Size Estimation for Epigenome-Wide Association Scans to Detect Differential DNA Methylation - Tsai & Bell estimate EWAS power using simulations.