My research focuses on the investigation of genetic and environmental mechanisms underlying obesity, diabetes, cardiovascular disease and related phenotypic disturbances in Indian Asians. In the last ten years I have worked closely with Professor JS Kooner (NHLI), Professor Paul Elliott (SPH), Professor James Scott (NHLI) and others, to establish the London Life Sciences Population (LOLIPOP) study, one of the largest cohort studies of Indian Asians world-wide. Our recent research efforts have capitalised on this unique population cohort, to provide new insight into the mechanisms underlying obesity, diabetes, cardiovascular disease and other human phenotypes. Key outputs include:
- Identification of MLXIPL as a key determinant of plasma triglyceride levels through its function as a co-ordinator of transcriptional regulation of enzymes that channel glycolytic end-products into lipogenesis and energy storage. (Kooner et al. Nature Genetic 2008)
- Showed that common genetic variants near hypothalamic receptor MC4R are associated with central obesity and insulin resistance. Risk-allele frequencies are higher amongst Indian Asians than Europeans, suggesting a possible genetic mechanism contributing to the increased burden of central adiposity and insulin resistance in Asians. (Chambers et al. Nature Genetics 2008)
- Demonstrated novel association of common genetic variants in TMPRSS6 with haemoglobin levels amongst people of both European and Indian Asian ancestry, most likely mediated through alteration of protease function, and hepcidin mediated control of iron homeostasis. Our findings could provide new insight into the genetic factors influencing anaemia and related blood disorders in man (Chambers et al. Nature Genetics 2009).
- Showed for the first time that that genetic variants in SCN10A influence cardiac conduction, and that genetic variation at SCN10A locus is a novel susceptibility factor for heart block and serious ventricular arrhythmia in man (Chambers et al. Nature Genetics 2010).
- Used genetic association, and the concept of Mendelian randomisation, to address the key question of whether CRP is causally linked with atherosclerosis or simply a marker of underlying inflammatory disturbances in atherosclerosis (Elliott.et al. JAMA 2009)
- Identifiedfour genetic loci influencing kidney function and risk of chronic kidney disease. (Chambers et al. Nature Genetics 2010).
et al., 2017, CNV-association meta-analysis in 191,161 European adults reveals new loci associated with anthropometric traits, Nature Communications, Vol:8, ISSN:2041-1723
et al., 2017, Corrigendum: Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk., Nat Genet, Vol:49
et al., 2017, Association analyses based on false discovery rate implicate new loci for coronary artery disease, Nature Genetics, Vol:49, ISSN:1061-4036, Pages:1385-+
et al., 2017, Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis, Plos Medicine, Vol:14, ISSN:1549-1676
et al., 2017, Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney, Hypertension, Vol:70, ISSN:0194-911X, Pages:E4-+