Anuj Goel

Anuj studied MBBS at King George’s Medical University, India (1996-2001) and MSc Bioinformatics at Cranfield University, UK (2003-2004). After post-doc in Imperial College London and University of Oxford, he became Principal Investigator in 2022 and Associate Professor in 2023.

Goel’s group research interests have focused on using existing tools to conduct genome wide association analysis, devise ways to handle large datasets, build databases and develop display tools to make the results easily accessible to collaborators. His group is interested in leveraging genetic and other omic datasets to provide insights in cardiovascular disease pathogenesis. He is also currently involved in next generation sequence data analysis to discover susceptibility genes for cardiovascular disease.

Publications:    

Large scale genome-wide association analyses identify novel genetic loci and mechanisms in hypertrophic cardiomyopathy. Tadros R et al. (2024) Accepted in Nature Genetics

Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants. Aragam, K.G, Jiang T and Goel A et al. (2022). Nature Genetics

Common genetic variants and modifiable risk factors underpin hypertrophic cardiomyopathy susceptibility and expressivity. Harper, AR and Goel A et al. (2021). Nature Genetics

Manhattan++: displaying genome-wide association summary statistics with multiple annotation layers. Grace, C et al. (2019) BMC Bioinformatics

A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease. Nikpay, M and Goel A et al. (2015) Nature Genetics