Nilanjan Chatterjee

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Shrinkage Estimators for Robust and Efficient Inference in Haplotype-Based Case-Control Studies

Raymond J Carroll, Yi-Hau Chen, Nilanjan Chatterjee, 2009, Journal of the American Statistical Association.

Analysis of Two-Phase Studies using Generalized Method of Moments.

Nilanjan Chatterjee, Prosenjit Kundu, 2019 .

Winner’s curse correction and variable thresholding improve performance of polygenic risk modeling based on genome-wide association study summary-level data

Alison P. Klein, William Wheeler, Jianxin Shi, 2016 .

Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.

Bhramar Mukherjee, Peng Wei, Kimberly McAllister, 2017, American journal of epidemiology.

Case–Control Studies of Gene–Environment Interaction: Bayesian Design and Analysis

Jaeil Ahn, Bhramar Mukherjee, Malay Ghosh, 2010, Biometrics.

Case-Control Designs for Modern Genome-Wide Association Studies: Basic Principles and Overview

Nilanjan Chatterjee, 2018 .

Update on the State of the Science for Analytical Methods for Gene-Environment Interactions.

Seunggeun Lee, Bhramar Mukherjee, Nilanjan Chatterjee, 2017, American journal of epidemiology.

Case-only analysis of gene-environment interactions using polygenic risk scores

Nilanjan Chatterjee, Prosenjit Kundu, Allison Meisner, 2019, bioRxiv.

Using imputed genotype data in the joint score tests for genetic association and gene–environment interactions in case‐control studies

Nilanjan Chatterjee, Maria Teresa Landi, Minsun Song, 2018, Genetic epidemiology.

Likelihood ratio test for detecting gene (G)-environment (E) interactions under an additive risk model exploiting G-E independence for case-control data.

Nilanjan Chatterjee, Jonine D Figueroa, Nathaniel Rothman, 2012, American journal of epidemiology.

Simplified Power Calculations for Aggregate-level Association Tests Provide Insights to Challenges for Rare Variant Association Studies

Nilanjan Chatterjee, Andriy Derkach, Haoyu Zhang, 2017 .

Exploiting Gene-Environment Independence for Analysis of Case-Control Studies: An Empirical Bayes Approach to Trade Off between Bias and Efficiency

Bhramar Mukherjee, Nilanjan Chatterjee, N. Chatterjee, 2006 .

Post‐selection estimation and testing following aggregate association tests

Nilanjan Chatterjee, Ruth Heller, Amit Meir, 2017, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Post-Selection Inference Following Aggregate Level Hypothesis Testing in Large-Scale Genomic Data

Nilanjan Chatterjee, Ruth Heller, Abba M. Krieger, 2018 .

A Comprehensive Evaluation of Methods for Mendelian Randomization Using Realistic Simulations of Genome-wide Association Studies

Nilanjan Chatterjee, Guanghao Qi, N. Chatterjee, 2019, bioRxiv.

Analysis of Case-Control Association Studies: SNPs, Imputation and Haplotypes.

Sheng Luo, Raymond J Carroll, Yi-Hau Chen, 2009, Statistical science : a review journal of the Institute of Mathematical Statistics.

Bayesian Inference for Smoking Cessation with a Latent Cure State

Sheng Luo, Thomas A Louis, Ciprian M Crainiceanu, 2009, Biometrics.

Comparison of approaches for incorporating new information into existing risk prediction models

Nilanjan Chatterjee, Sonja Grill, Mitchell H Gail, 2017, Statistics in medicine.

Robust estimation for homoscedastic regression in the secondary analysis of case–control data

Raymond J Carroll, Nilanjan Chatterjee, Ingrid Van Keilegom, 2013, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Power Analysis for Genetic Association Test (PAGEANT) provides insights to challenges for rare variant association studies

Haoyu Zhang, Nilanjan Chatterjee, Andriy Derkach, 2018, Bioinform..

Exploiting gene‐environment independence in family‐based case‐control studies: Increased power for detecting associations, interactions and joint effects

Raymond J Carroll, Nilanjan Chatterjee, Zeynep Kalaylioglu, 2005, Genetic epidemiology.

Flexible design for following up positive findings.

Qizhai Li, William Wheeler, Nilanjan Chatterjee, 2007, American journal of human genetics.

Using principal components of genetic variation for robust and powerful detection of gene-gene interactions in case-control and case-only studies.

Peter Kraft, Nilanjan Chatterjee, Zhaoming Wang, 2010, American journal of human genetics.

Review of Statistical Methods for Gene-Environment Interaction Analysis

Nilanjan Chatterjee, Summer S. Han, N. Chatterjee, 2018, Current Epidemiology Reports.

Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.

Jaeil Ahn, Bhramar Mukherjee, Nilanjan Chatterjee, 2016, American journal of epidemiology.

A Partially Linear Tree‐based Regression Model for Multivariate Outcomes

Qizhai Li, William Wheeler, Nilanjan Chatterjee, 2010, Biometrics.

Using imputed genotype data in the joint score tests for genetic association and gene-environment interactions in case-control studies

Nilanjan Chatterjee, Minsun Song, William Wheeler, 2016, bioRxiv.

Statistical Issues in Development and Evaluation of Genetic Risk Prediction Models

Nilanjan Chatterjee, 2014 .

A semiparametric pseudo-score method for analysis of two-phase studies with continuous phase-I covariates

Yi-Hau Chen, Nilanjan Chatterjee, N. Chatterjee, 2007, Lifetime data analysis.

Testing calibration of risk models at extremes of disease risk.

Peter Kraft, Nilanjan Chatterjee, Amit D Joshi, 2015, Biostatistics.

Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.

Jaeil Ahn, Bhramar Mukherjee, Nilanjan Chatterjee, 2012, American journal of epidemiology.

Efficient p-value evaluation for resampling-based tests.

Faming Liang, Nilanjan Chatterjee, Kai Yu, 2011, Biostatistics.

Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects

Nilanjan Chatterjee, Guanghao Qi, N. Chatterjee, 2019, Nature Communications.

Invited commentary: efficient testing of gene-environment interaction.

Nilanjan Chatterjee, Sholom Wacholder, N. Chatterjee, 2008, American journal of epidemiology.

Power Analysis Provides Bounds for Genetic Architecture and Insights to Challenges for Rare Variant Association Studies

Haoyu Zhang, Nilanjan Chatterjee, Andriy Derkach, 2017, bioRxiv.

Empirical Performance of Cross-Validation With Oracle Methods in a Genomics Context

Raymond J Carroll, Nilanjan Chatterjee, Joshua N Sampson, 2011, The American statistician.

A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling

Yi-Hau Chen, Nilanjan Chatterjee, Norman E. Breslow, 2003 .

iCARE: R package to build, validate and apply absolute risk models

Nilanjan Chatterjee, Paige Maas, Montserrat Garcia-Closas, 2016, bioRxiv.

iCARE: An R package to build, validate and apply absolute risk models

Nilanjan Chatterjee, Montserrat Garcia-Closas, William Wheeler, 2020, PloS one.

Evaluating discriminatory accuracy of models using partial risk-scores in two-phase studies

Nilanjan Chatterjee, Parichoy Pal Choudhury, Anil K. Chaturvedi, 2017, 1710.04379.

Analysis of case‐control studies of genetic and environmental factors with missing genetic information and haplotype‐phase ambiguity

Raymond J Carroll, Nilanjan Chatterjee, Christine Spinka, 2005, Genetic epidemiology.

BADM 341.01: Systems and Operations

Nilanjan Chatterjee, 2002 .

A Robust Test for Additive Gene-Environment Interaction Under the Trend Effect of Genotype Using an Empirical Bayes-Type Shrinkage Estimator.

Nilanjan Chatterjee, Maria Teresa Landi, Michaël E. Belloy, 2021, American journal of epidemiology.

Decreased levels of CXC-chemokines in serum of benzene-exposed workers identified by array-based proteomics.

Nilanjan Chatterjee, Nathaniel Rothman, Qing Lan, 2005, Proceedings of the National Academy of Sciences of the United States of America.

Genome-wide association study identifies multiple loci associated with bladder cancer risk.

William Wheeler, Paolo Vineis, Peter Kraft, 2014, Human molecular genetics.

Fine mapping of a region of chromosome 11q13 reveals multiple independent loci associated with risk of prostate cancer.

Peter Kraft, Nilanjan Chatterjee, Fredrik Wiklund, 2011, Human molecular genetics.

Exploiting Gene‐Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes‐Type Shrinkage Estimator to Trade‐Off between Bias and Efficiency

Bhramar Mukherjee, Nilanjan Chatterjee, N. Chatterjee, 2008, Biometrics.

Interactions between household air pollution and GWAS-identified lung cancer susceptibility markers in the Female Lung Cancer Consortium in Asia (FLCCA)

Chien-Chung Lin, Li Jin, Nilanjan Chatterjee, 2015, Human Genetics.

Case–Control and Case‐Only Designs with Genotype and Family History Data: Estimating Relative Risk, Residual Familial Aggregation, and Cumulative Risk

Nilanjan Chatterjee, Mitchell H Gail, Zeynep Kalaylioglu, 2006, Biometrics.

Next generation analytic tools for large scale genetic epidemiology studies of complex diseases

Kathryn Roeder, Peter Kraft, Matthew Stephens, 2012, Genetic epidemiology.

MEGSA: A powerful and flexible framework for analyzing mutual exclusivity of tumor mutations

Jianxin Shi, Bin Zhu, Nilanjan Chatterjee, 2015, bioRxiv.

Gene‐Environment Interactions in Cancer Epidemiology: A National Cancer Institute Think Tank Report

Peter Kraft, Nilanjan Chatterjee, Leah E. Mechanic, 2013, Genetic epidemiology.

Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits

Nilanjan Chatterjee, Yan Zhang, Guanghao Qi, 2018, Nature Genetics.

Identification of a new prostate cancer susceptibility locus on chromosome 8q24

Peter Kraft, Pär Stattin, Nilanjan Chatterjee, 2009, Nature Genetics.

Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies

Nilanjan Chatterjee, Stephen J. Chanock, S. Chanock, 2013, Nature Genetics.

A Two-Stage Regression Model for Epidemiological Studies With Multivariate Disease Classification Data

Nilanjan Chatterjee, N. Chatterjee, 2004 .

Challenges and opportunities in genome-wide environmental interaction (GWEI) studies

Peter Kraft, Nilanjan Chatterjee, Kristel Van Steen, 2012, Human Genetics.

Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome

William Wheeler, Nan Hu, Peter Kraft, 2016, Nature Communications.

Shrinkage estimation for robust and efficient screening of single‐SNP association from case‐control genome‐wide association studies

Bhramar Mukherjee, Nilanjan Chatterjee, Jinbo Chen, 2009, Genetic epidemiology.

Mendelian Randomization Analysis Using Mixture Models (MRMix) for Genetic Effect-Size-Distribution Leads to Robust Estimation of Causal Effects

Nilanjan Chatterjee, Guanghao Qi, N. Chatterjee, 2018, bioRxiv.

NAT2 slow acetylation and GSTM1 null genotypes increase bladder cancer risk: results from the Spanish Bladder Cancer Study and meta-analyses

Nilanjan Chatterjee, Debra Silverman, Núria Malats, 2008 .

CYP 1 A 1 Val 462 and NQO 1 Ser 187 polymorphisms , cigarette use , and risk for colorectal adenoma

Nilanjan Chatterjee, Neil E. Caporaso, Stephen J. Chanock, 2005 .

An exposure‐weighted score test for genetic associations integrating environmental risk factors

Nilanjan Chatterjee, Neil E. Caporaso, Summer S. Han, 2015, Biometrics.

Phase I Metabolic Genes and Risk of Lung Cancer: Multiple Polymorphisms and mRNA Expression

Nilanjan Chatterjee, Neil E. Caporaso, Maria Teresa Landi, 2009, PloS one.

Genome-wide association study of glioma and meta-analysis

Melissa Bondy, Nilanjan Chatterjee, John K. Wiencke, 2012, Human Genetics.

Analysis of Case–Control Studies in Genetic Epidemiology

Nilanjan Chatterjee, N. Chatterjee, 2007 .

A Powerful Procedure for Pathway-Based Meta-analysis Using Summary Statistics Identifies 43 Pathways Associated with Type II Diabetes in European Populations

William Wheeler, Jianxin Shi, Nilanjan Chatterjee, 2016, bioRxiv.

A Haplotype-Based Test of Association Using Data from Cohort and Nested Case-Control Epidemiologic Studies

Nilanjan Chatterjee, Jinbo Chen, Ulrike Peters, 2004, Human Heredity.

Pathway-based evaluation of 380 candidate genes and lung cancer susceptibility suggests the importance of the cell cycle pathway.

Nilanjan Chatterjee, Stephen J Chanock, Qing Lan, 2008, Carcinogenesis.

Genome-Wide and Candidate Gene Association Study of Cigarette Smoking Behaviors

William Wheeler, Peter Kraft, Nilanjan Chatterjee, 2009, PloS one.

Common genetic variants in proinflammatory and other immunoregulatory genes and risk for non-Hodgkin lymphoma.

Nilanjan Chatterjee, Nathaniel Rothman, Stephen J Chanock, 2006, Cancer research.

Oncologic therapy shapes the fitness landscape of clonal hematopoiesis

Ahmet Zehir, Stuart Gardos, Nilanjan Chatterjee, 2019, bioRxiv.

Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer

William Wheeler, Paolo Vineis, Andres Metspalu, 2014, Nature Genetics.

Two high-risk susceptibility loci at 6p25.3 and 14q32.13 for Waldenström macroglobulinemia

Paolo Vineis, Peter Kraft, Bin Zhu, 2018, Nature Communications.

Power of Data Mining Methods to Detect Genetic Associations and Interactions

Annette M. Molinaro, Robert Bjornson, Nilanjan Chatterjee, 2011, Human Heredity.

Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background

Nilanjan Chatterjee, Neil E. Caporaso, Nathaniel Rothman, 2012, PloS one.

Fine mapping the KLK3 locus on chromosome 19q13.33 associated with prostate cancer susceptibility and PSA levels

Nilanjan Chatterjee, Stephen J. Chanock, Richard B. Hayes, 2011, Human Genetics.

Common Genetic Variants and Central Adiposity Among Asian‐Indians

Nilanjan Chatterjee, Stephen J. Chanock, Dorairaj Prabhakaran, 2012, Obesity.

Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD

William Wheeler, Peter Kraft, Tianhua Niu, 2010, PLoS genetics.

A genome-wide association study of lung cancer identifies a region of chromosome 5p15 associated with risk for adenocarcinoma.

Ying Wang, William Wheeler, Andres Metspalu, 2009, American journal of human genetics.

Analysis of Metabolic Syndrome Components in >15 000 African Americans Identifies Pleiotropic Variants: Results From the Population Architecture Using Genomics and Epidemiology Study

Chun-Nan Hsu, Nilanjan Chatterjee, Elizabeth Selvin, 2014, Circulation. Cardiovascular genetics.

Genome-wide interaction study of smoking and bladder cancer risk.

William Wheeler, Paolo Vineis, Peter Kraft, 2014, Carcinogenesis.

Nucleotide Excision Repair Gene Polymorphisms and Risk of Advanced Colorectal Adenoma: XPC Polymorphisms Modify Smoking-Related Risk

Nilanjan Chatterjee, Robert Welch, Stephen J Chanock, 2006, Cancer Epidemiology Biomarkers & Prevention.

Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types.

Jian Su, Wen Tan, Paolo Vineis, 2015, Journal of the National Cancer Institute.

Improved imputation of common and uncommon SNPs with a new reference set

Nilanjan Chatterjee, Mark P Purdue, Amy Hutchinson, 2011, Nature Genetics.

Genome-wide association study identifies multiple susceptibility loci for diffuse large B-cell lymphoma

Paolo Vineis, Theodore R Holford, Peter Kraft, 2014, Nature Genetics.

Genetic variant in TP63 on locus 3q28 is associated with risk of lung adenocarcinoma among never-smoking females in Asia

Wen Tan, Chien-Chung Lin, Chang Ho Kim, 2012, Human Genetics.

Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies

Nilanjan Chatterjee, Raymond J. Carroll, R. Carroll, 2005 .

CYP1A1 Val462 and NQO1 Ser187 polymorphisms, cigarette use, and risk for colorectal adenoma.

Nilanjan Chatterjee, Stephen J Chanock, Lifang Hou, 2005, Carcinogenesis.

Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State

Thomas A Louis, Ciprian M Crainiceanu, Nilanjan Chatterjee, 2008, Journal of the American Statistical Association.

Handbook of Statistical Methods for Case-Control Studies

Nilanjan Chatterjee, Mitchell H. Gail, Norman E. Breslow, 2018 .

Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers

Debashis Ghosh, Bin Zhu, Hongyu Zhao, 2017, Scientific Reports.

Maximum likelihood inference on a mixed conditionally and marginally specified regression model for genetic epidemiologic studies with two-phase sampling

Nilanjan Chatterjee, Yi-Hau Chen, 2007 .

Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Paolo Vineis, Theodore R Holford, Peter Kraft, 2016, Nature Communications.

Haplotype‐Based Association Analysis in Cohort and Nested Case–Control Studies

Nilanjan Chatterjee, Jinbo Chen, Jinbo Chen, 2006, Biometrics.

A genome-wide association study of bladder cancer identifies a new susceptibility locus within SLC14A1, a urea transporter gene on chromosome 18q12.3.

Jian Gu, Nilanjan Chatterjee, Jonine D Figueroa, 2011, Human molecular genetics.

Characterization of large structural genetic mosaicism in human autosomes.

William Wheeler, Nan Hu, Peter Kraft, 2015, American journal of human genetics.

Serum vitamin D concentration and prostate cancer risk: a nested case-control study.

Nilanjan Chatterjee, Christian C Abnet, Mark P Purdue, 2008, Journal of the National Cancer Institute.

Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations.

Steven Gallinger, Peter Kraft, Nazneen Rahman, 2016, Cancer research.

A subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traits.

Nilanjan Chatterjee, Stephen J Chanock, Preetha Rajaraman, 2012, American journal of human genetics.

Association between GWAS-identified lung adenocarcinoma susceptibility loci and EGFR mutations in never-smoking Asian women, and comparison with findings from Western populations

Ping Wang, Junjie Wu, Jian Su, 2016, Human molecular genetics.

Serum Lycopene, Other Carotenoids, and Prostate Cancer Risk: a Nested Case-Control Study in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial

Nilanjan Chatterjee, Richard B. Hayes, Elio Riboli, 2007, Cancer Epidemiology Biomarkers & Prevention.

Estimation of effect size distribution from genome-wide association studies and implications for future discoveries

Nilanjan Chatterjee, Stephen J Chanock, Mitchell H Gail, 2010, Nature Genetics.

Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes.

Peter Kraft, Nilanjan Chatterjee, Lu Qi, 2012, American journal of epidemiology.

MEGSA: A powerful and flexible framework for analyzing mutual exclusivity of tumor mutations

Jianxin Shi, Bin Zhu, Nilanjan Chatterjee, 2015, bioRxiv.

Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies

Beate Ritz, Jacqueline Kerr, Bhramar Mukherjee, 2017, Cancer Epidemiology, Biomarkers & Prevention.

Lessons Learned From Past Gene-Environment Interaction Successes

Peter Kraft, Kimberly McAllister, Nilanjan Chatterjee, 2017, American journal of epidemiology.

Detectable clonal mosaicism and its relationship to aging and cancer

William Wheeler, Nan Hu, Peter Kraft, 2012, Nature Genetics.

Tests for gene‐environment interaction from case‐control data: a novel study of type I error, power and designs

Jaeil Ahn, Bhramar Mukherjee, Nilanjan Chatterjee, 2008, Genetic epidemiology.

Mukherjee et al. Respond to “GE-Whiz! Ratcheting Up Gene-Environment Studies”

Jaeil Ahn, Bhramar Mukherjee, Nilanjan Chatterjee, 2012 .

Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue

William Wheeler, Jianxin Shi, Kimberly D. Siegmund, 2014, Nature Communications.

A multi-stage genome-wide association study of bladder cancer identifies multiple susceptibility loci

William Wheeler, Tony Fletcher, Paolo Vineis, 2010, Nature Genetics.

Large-Scale Evaluation of Candidate Genes Identifies Associations between VEGF Polymorphisms and Bladder Cancer Risk

Nilanjan Chatterjee, Debra Silverman, Núria Malats, 2007, PLoS genetics.

Validation studies: bias, efficiency, and exposure assessment.

Nilanjan Chatterjee, Sholom Wacholder, N. Chatterjee, 2002, Epidemiology.

Exploiting Hardy-Weinberg Equilibrium for Efficient Screening of Single SNP Associations from Case-Control Studies

Nilanjan Chatterjee, Jinbo Chen, Jinbo Chen, 2007, Human Heredity.

Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33.

William Wheeler, Hideo Tanaka, Jianxin Shi, 2014, Human molecular genetics.

Common Gene Variants in the Tumor Necrosis Factor (TNF) and TNF Receptor Superfamilies and NF-kB Transcription Factors and Non-Hodgkin Lymphoma Risk

Bruce K. Armstrong, Nilanjan Chatterjee, Nathaniel Rothman, 2009, PloS one.

SLC6A3 and body mass index in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial

Nilanjan Chatterjee, Stephen J Chanock, Neil E Caporaso, 2009, BMC Medical Genetics.

Germline determinants of the somatic mutation landscape in 2,642 cancer genomes

Gunnar Rätsch, Mark Gerstein, Li Ding, 2017, bioRxiv.

Genome-wide Association Study Identifies Multiple Risk Loci for Chronic Lymphocytic Leukemia

Paolo Vineis, Theodore R Holford, Peter Kraft, 2013, Nature Genetics.

Nonparametric Bayesian Deconvolution of a Symmetric Unimodal Density

Nilanjan Chatterjee, Raymond J. Carroll, Anirban Bhattacharya, 2020, 2002.07255.

Cigarette smoking, N-acetyltransferase genes and the risk of advanced colorectal adenoma.

Nilanjan Chatterjee, Timothy R Church, Meredith Yeager, 2006, Pharmacogenomics.

A Note on the Effect on Power of Score Tests via Dimension Reduction by Penalized Regression under the Null

Raymond J Carroll, Nilanjan Chatterjee, Samuel Muller, 2010, The international journal of biostatistics.

Retinal transcriptome and eQTL analyses identify genes associated with age-related macular degeneration

Alexis Battle, Emily Y. Chew, Nilanjan Chatterjee, 2019, Nature Genetics.

Design and analysis of two‐phase studies with binary outcome applied to Wilms tumour prognosis

Nilanjan Chatterjee, Norman E. Breslow, N. Breslow, 1999 .

Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types

Alison P. Klein, William Wheeler, Li Jin, 2015 .

DRD2 genetic variation in relation to smoking and obesity in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial

Nilanjan Chatterjee, Robert Welch, Stephen J Chanock, 2006, Pharmacogenetics and genomics.

Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

Alison P. Klein, Yan Zhang, Peter Kraft, 2019, bioRxiv.

Pathway analysis of breast cancer genome-wide association study highlights three pathways and one canonical signaling cascade.

Peter Kraft, Nilanjan Chatterjee, Jonine D Figueroa, 2010, Cancer research.

Common genetic polymorphisms modify the effect of smoking on absolute risk of bladder cancer.

Nilanjan Chatterjee, Jonine D Figueroa, Margaret R Karagas, 2013, Cancer research.

Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

Alison P. Klein, Peter Kraft, Florence Demenais, 2020, Nature Communications.

Testing in semiparametric models with interaction, with applications to gene-environment interactions.

Arnab Maity, Raymond J Carroll, Nilanjan Chatterjee, 2009, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Adjustment for competing risk in kin‐cohort estimation

Nilanjan Chatterjee, Sholom Wacholder, P. Hartge, 2003, Genetic epidemiology.

Efficient study design for next generation sequencing

Nilanjan Chatterjee, Stephen Chanock, Meredith Yeager, 2011, Genetic epidemiology.

Can cervicography be improved? An evaluation with arbitrated cervicography interpretations.

Nilanjan Chatterjee, Mark Spitzer, Mark Schiffman, 2002, American journal of obstetrics and gynecology.

Estrogen Receptor Breast Cancer Phenotypes in the Surveillance, Epidemiology, and End Results Database

Nilanjan Chatterjee, William B. Ershler, N. Chatterjee, 2002, Breast Cancer Research and Treatment.

Retrospective analysis of haplotype-based case control studies under a flexible model for gene environment association.

Raymond J Carroll, Nilanjan Chatterjee, Yi-Hau Chen, 2008, Biostatistics.