Biography

Dr. Chatterjee is the Chief and a Senior Investigator of the Biostatistics Branch of the Division of Cancer Epidemiology and Genetics (DECG), National Cancer Institute (NCI). He received his Bachelor’s and Master’s degree (with a specialization in Mathematical Statistics and Probability Theory) from the Indian Statistical Institute, Calcutta. He received his PhD in Statistics from the University of Washington, Seattle in 1999. His research focuses on statistical methods for modern genetic and molecular epidemiologic studies. He also actively collaborates in design and analysis of a variety of major cancer epidemiologic studies at NCI. He is an elected Fellow of the American Statistical Association (2008) and is recipient of the Mortimer Spiegelman Award (2010).

Research Interests

Dr. Chatterjee has developed an integrated program of methodological and collaborative research for investigation of genetic and environmental causes of cancers. His primary foci of current research include studies of genetic association and gene-environment interactions, investigation of etiologic heterogeneity among cancer subtypes, risk prediction models and their applications to personalized medicine and cost-effective epidemiologic study designs. His statistical areas of research, which cut across the different scientific disciplines, include regression analysis under complex sampling designs (e.g case-control and two-phase sampling), meta-analysis, missing data, survival analysis, semi-parametric inference and shrinkage estimation.

Selected Publications

• Park J, Wacholder S, Gail M, Peters U, Jacobs K, Chanock S and Chatterjee N. Estimating effect size distribution from genome-wide association studies and implications for future discoveries. Nature Genetics, 2010, 42:570-5.
• Chatterjee, N.,Sinha, S.,Diver, R.,Feigelson, H. Analysis of cohort studies with multivariate, partially observed, disease classification data. Biometrika 2010, 97:683-698.
• Bhattacharjee, S.,Zhaoming, W.,Ciampa, J.,Kraft, P.,Chanock, S.,Yu, K., and Chatterjee, N. Using principal components of genetic variation for robust and powerful detections of gene-gene interactions in case-control and case-only studies. Am J of Hum Genet 2010, 86:331-42.
• Rothman N#, Garcia-Closas M#, Chatterjee N#, Maltas N#, Wu Xifeng# et al. A multi-stage genome-wide association study of bladder cancer identifies multiple susceptibility loci. Nature Genetics 2010, 42:978-84.
• Chatterjee, N.,Li, Y. Inference in semi-parametric regression models under partial questionnaire design and non-monotone missing data. J Am Stat Assoc (T&M) 2010, 105:787-797.
• Jacobs, K.B.,Yeager, M.,Wacholder, S.,Craig, D.,Kraft, P.,Hunter, D.J.,Paschal, J.,Manolio, T.A.,Tucker, M.,Hoover, R.N.,Thomas, G.D.,Chanock, S.J., and Chatterjee, N. A new statistic and its power to infer membership in a genome-wide association study using genotype frequencies. Nat Genet 2009, 41(11):1253-7.
• Chen, Y.H.,Chatterjee, N., and Carroll, R.J. Shrinkage Estimators for Robust and Efficient Inference in Haplotype-Based Case-Control Studies. J Am Stat Assoc 2009, 104(485):220-233.
• Chatterjee, N.,Kalaylioglu, Z.,Moslehi, R.,Peters, U., and Wacholder, S. Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions. Am J Hum Genet 2006, 79(6):1002-1016.
• Chatterjee N and Carroll RJ. Semiparametric maximum-likelihood estimation exploiting gene-environment independence in case-control studies. Biometrika 2005, 92:399-418.
• Chatterjee N, Zeynep K and Carroll R. Exploiting gene-environment independence in family-based case-control studies: Increased power for detecting associations, interactions and joint-effect. Genetic Epidemiology 2005, 28:138-156.

Software

• CGEN - An R package for genetic analysis of case-control data.
• KinCohort - A MATLAB software package for likelihood-based analysis of kin-cohort data.
• MultAssoc - A MATLAB software package for test of association of a disease with a group of SNPs after accounting for their interaction with another group of SNPs or environmental exposures.
• SAS macro for haplotype analysis of case-control studies
• Integrated Power Calculation Tool
• ASSET - ASsociation analysis based on subSETs (beta-version)

Collaborators

DCEG Collaborators

• Neil Caporaso, Ph.D.; Mitchell Gail, M.D.; Montserrat García-Closas, Ph.D.; Ruth Pfeiffer, Ph.D.; Patricia Hartge, Sc.D.; Richard Hayes, Ph.D., D.D.S.; Sholom Wacholder, Ph.D.

Other NCI Collaborators

• Joanna Shih, Ph.D., Division of Cancer Treatment and Diagnosis, NCI.

Other Scientific Collaborators

• Raymond Carroll, PhD, Texas A&M University
• Jinbo Chen, PhD, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania
• Yi-Hau Chen, PhD, National Taiwan Institute of Statistical Sciences, Academia Sinica, Taipei, Taiwan
• Ulrike Peters, PhD, Fred Hutchinson Cancer Research Center, Seattle.