Anuj Goel
MBBS, MSc
Senior Bioinformatician
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
-
The power of genetic diversity in genome-wide association studies of lipids.
Journal article
Graham SE. et al, (2021), Nature
-
Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes.
Journal article
Grace C. et al, (2021), Genet Epidemiol
-
Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability.
Journal article
Lagou V. et al, (2021), Nat Commun, 12