Our computational epigenomics group investigates and integrates large-scale multi-omic data to understand the pathophysiology of common, chronic, and ageing-related human diseases, including type 2 diabetes and cardiometabolic disorders. This knowledge brings precise insight into the perturbed molecular mechanisms - with the aim of identifying novel avenues for treatment and prevention.
Bell CG (2024) "Epigenomic Insights into Common Human Disease Pathology", Cellular & Molecular Life Sciences, 81:178 (PMID: 38602535)
van Duijvenboden S, Ramírez J, Young W, Olczak K, Ahmed F, Alhammadi M, International Consortium of Blood Pressure, Bell CG†, Morris A†, Munroe P† (2023) "Integration of genetic fine-mapping and multi-omics data reveals candidate effector genes for hypertension", American Journal of Human Genetics, 110:1718-34 (PMID: 37683633)
Acton R, Yuan W, Gao F, Xia Y, Bourne E, Wozniak E, Bell J, Lillycrop K, Wang J, Mein C, Dennison E, Spector T, Hysi P, Cooper C, Bell CG (2021) "The Genomic Loci of Specific Human tRNA Genes Exhibit Ageing-Related DNA Hypermethylation", Nature Communications, 12:2655 (PMID: 33976121)
Bell CG, Lowe R, Adams P, Baccarelli A, Beck S, Bell J, Christensen B, Gladyshev V, Heijmans B, Horvath S, Ideker T, Issa J-P, Kelsey K, Marioni R, Reik W, Relton C, Schalkwyk L, Teschendorff A, Wagner W, Zhang K, Rakyan V (2019) "DNA methylation ageing clocks: challenges & recommendations", Genome Biology, 20:249 (PMID: 31767039)
Bell CG, Gao F, Yuan W, Roos L, Acton R, Xia Y, Bell J, Ward K, Mangino M, Hysi P, Wang J, Spector T (2018) "Obligatory and Facilitative Allelic Variation in the DNA Methylome Within Common Disease-Associated Loci", Nature Communications, 9:8 (PMID: 29295990)
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