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  Email:   sb1

 Present Position:  Associate Professor
                               Intermediate Fellow of Wellcome Trust/DBT India Alliance

 Highest educational Qualification:  Ph.D.


As a statistical geneticist, I develop statistical methods that can help in identification of genetic variants, which confer susceptibility to complex diseases in humans and also their interactions with other genetic and environmental factors in this process. Further, I am also interested in understanding the causal mechanisms underlying these genetic variants in disease pathogenesis. Currently, a major focus of our group is in integrative genomics. We try to develop methods that can help investigators in integrating external evidence from gene-expression, epigenomic landscape and e-QTL studies and also knowledge stored in biological databases (e.g. pathways, ontologies, target predictions, etc.) to conduct ‘informed analyses’ of high-throughput data arising from GWAS or other omics (e.g. genomics, transcriptomics or epi-genomics) studies. Various analytic strategies such as multiple-testing, meta-analysis, pathway analysis are useful to extract insights from high-throughput data. Development of these analytic approaches is essential to accelerate the discovery of novel SNPs or genes and, in understanding downstream molecular changes driving pathogenesis of complex diseases and traits. Further, development of ways to understand gene-environment interactions is crucial to the eventual success of genomics driven personalized medicine.


Selected Publications:

  • Shrayashi Biswas, Soumen Pal, Partha P. Majumder, Samsiddhi Bhattacharjee* (2020): A Framework for Pathway Knowledge Driven Prioritization in Genome-wide Association Studies. Genetic Epidemiology (In Press)
  • Sengupta D, Guha U, Bhattacharjee S*, Sengupta M*: Association of 12 polymorphic variants conferring genetic risk to lung cancer in Indian population: An extensive meta-analysis. Environ Mol Mutagen. 2017 Dec;58(9):688-700. doi: 10.1002/em.22149. Epub 2017 Oct 27. [*Joint Corresponding Authors]
  • Cara L. Carty, Samsiddhi Bhattacharjee, Jeff Haessler, Iona Cheng, Lucia A. Hindorff, Vanita Aroda, Christopher S. Carlson, Chun-Nan Hsu, Lynne Wilkens, Simin Liu, Elizabeth Selvin, Rebecca Jackson, Kari E. North, Ulrike Peters, James S. Pankow, Nilanjan Chatterjee and Charles Kooperberg: Comparative Analysis of Metabolic Syndrome Components in over 15,000 African Americans Identifies Pleiotropic Variants: Results from the PAGE Study. Circ Cardiovasc Genet. published online July 14, 2014.

  • Samsiddhi Bhattacharjee, Preetha Rajaraman, Kevin B Jacobs, William A Wheeler, Beatrice S Melin, Patricia Hartge, GliomanScan Consortium, Meredith Yeager, Charles C Chung, Stephen J Chanock, Nilanjan Chatterjee: A subset-based approach improves power and interpretation for the combined-analysis of genetic association studies of heterogeneous traits. Am J Hum Genet 2012, May 4;90(5):821-835.            

  • Samsiddhi Bhattacharjee, Zhaoming Wang, Julia Ciampa, Peter Kraft, Stephen Chanock, Kai Yu, Nilanjan Chatterjee: Using Principal Components of Genetic Variation for Robust and Powerful Detection of Gene-Gene Interactions in Case-Control and Case-Only Studies, Am J Hum Genet 2010 Mar 12;86(3):331-42.