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 Name: SAMSIDDHI BHATTACHARJEE

  Email:   sb1

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

 Highest educational Qualification:  Ph.D.

Research:

As a statistical geneticist, I develop statistical methods that can help in identification of genetic variants and their interactions (with other genetic and environmental factors), which confer susceptibility to complex diseases in humans. 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 and e-QTL studies and also knowledge stored in biological databases (e.g. pathways, ontologies) 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/enrichment 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)

  • Debmalya Sengupta, Souradeep Banerjee, Pramiti Mukhopadhyay, Udayan Guha, Kausik Ganguly, Samsiddhi Bhattacharjee*, Mainak Sengupta* (2020): A meta-analysis and in silico analysis of polymorphic variants conferring breast cancer risk in the Indian subcontinent. Future Oncology (In Press)

  • 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.