Anuj Goel
MBBS, MSc
Principal Investigator
My research interests are focused on using existing tools to do genome wide association analysis, devise ways to handle large datasets, build databases and make the results easily accessible to our collaborators.
I am currently involved in next generation exome sequencing data analysis to discover susceptibility genes for cardiovascular disease.
Key publications
-
A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.
Journal article
Nikpay M. et al, (2015), Nat Genet, 47, 1121 - 1130
-
Common genetic variants and modifiable risk factors underpin hypertrophic cardiomyopathy susceptibility and expressivity.
Journal article
Harper AR. et al, (2021), Nat Genet, 53, 135 - 142
-
Manhattan++: displaying genome-wide association summary statistics with multiple annotation layers.
Journal article
Grace C. et al, (2019), BMC Bioinformatics, 20
Recent publications
-
Genome-Wide Analysis of Left Ventricular Maximum Wall Thickness in the UK Biobank Cohort Reveals a Shared Genetic Background With Hypertrophic Cardiomyopathy.
Journal article
Aung N. et al, (2023), Circ Genom Precis Med
-
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis.
Journal article
Kanoni S. et al, (2022), Genome Biol, 23
-
Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants.
Journal article
Aragam KG. et al, (2022), Nat Genet