Anuj Goel
MBBS, MSc
Associate Professor of Cardiovascular Genetics
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
-
GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification.
Journal article
Lagou V. et al, (2023), Nat Genet, 55, 1448 - 1461
-
Author Correction: The power of genetic diversity in genome-wide association studies of lipids.
Journal article
Graham SE. et al, (2023), Nature
-
Genetic Determinants of the Interventricular Septum Are Linked to Ventricular Septal Defects and Hypertrophic Cardiomyopathy.
Journal article
Yu M. et al, (2023), Circ Genom Precis Med