Evolutionary quantitative genetics, complex disorders, sex-specific genetic architecture
My broad research interest is in the evolution of multivariate genetic architecture of quantitative traits. A special case of the above is the sex-specific genetic architecture of human complex traits and disorders. Sex-difference in complex traits in humans is ubiquitous, for e.g., male bias in autism spectrum disorder (ASD), age of onset in schizophrenia, incidence of cardiovascular disease, etc. But traits are not independent as they are genetically correlated to each other by pleiotropy or linkage disequilibrium. For e.g., coronary artery disease, LDL levels and blood pressure consist of functionally related modules of traits, and analysing one trait in isolation will not provide a complete picture of the disease biology. If we analyse the shared traits in males and females, e.g., LDL levels in males and females, together, and we have genetic data, we would be able to estimate the correlation between the male and female traits, which will help us to quantify the degree of sex-difference, and will provide us with an estimate of genetic constraint to the evolution of sex-specificity.
Evolution of sex-differences in genetic architecture through simulation studies
Sex-differences in multivariate genetic architecture in humans
When we consider correlated traits (multivariate), the evolutionary dynamics related to genetic constraint largely changes compared to working with one trait at a time (univariate). Multivariate models are also more realistic compared to their univariate counterparts, as traits do not occur in isolation. Besides simulation studies, another objective of the lab is to investigate sex-differences in multivariate genetic architecture of psychiatric disorders and anthropomorphic traits in UK Bio Bank.
|2021||Ph.D||Friedrich Schiller University, Jena, Germany|
|2011||M.Sc||Savitribai Phule Pune University, Pune, Maharashtra|
|2009||B.Sc||University of Calcutta, Kolkata|
(05/2021- 09/2021) Department of Biotechnology Research Associate (DBT-RA) at the National Institute of Biomedical Genomics (NIBMG)