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Zhu B, Song N, Shen R, Arora A, Machiela MJ, Song L, Landi MT, Ghosh D, Chatterjee N, Baladandayuthapani V, et al. Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers. Sci Rep. 2017;7:16954. Abstract
Zhu B, Mirabello L, Chatterjee N. A subregion-based burden test for simultaneous identification of susceptibility loci and subregions within. Genet Epidemiol. 2018;42:673-683. Abstract
Zhang M, Lykke-Andersen S, Zhu B, Xiao W, Hoskins JW, Zhang X, Rost LM, Collins I, Bunt MV, Jia J, et al. Characterising cis-regulatory variation in the transcriptome of histologically normal and tumour-derived pancreatic tissues. Gut. 2018;67:521-533. Abstract
Zhang Y, Qi G, Park JH, Chatterjee N. Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits. Nat Genet. 2018;50:1318-1326. Abstract
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Stalder O, Asher A, Liang L, Carroll RJ, Ma Y, Chatterjee N. Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies. Biometrika. 2017;104:801-812. Abstract
Song M, Wheeler W, Caporaso NE, Landi MT, Chatterjee N. Using imputed genotype data in the joint score tests for genetic association and gene-environment interactions in case-control studies. Genet Epidemiol. 2018;42:146-155. Abstract
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Rudolph A, Song M, Brook MN, Milne RL, Mavaddat N, Michailidou K, Bolla MK, Wang Q, Dennis J, Wilcox AN, et al. Joint associations of a polygenic risk score and environmental risk factors for breast cancer in the Breast Cancer Association Consortium. Int J Epidemiol. 2018;47:526-536. Abstract
Ritz BR, Chatterjee N, Garcia-Closas M, Gauderman WJ, Pierce BL, Kraft P, Tanner CM, Mechanic LE, McAllister K. Lessons Learned From Past Gene-Environment Interaction Successes. Am J Epidemiol. 2017;186:778-786. Abstract
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Qi G, Chatterjee N. Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traits. PLoS Genet. 2018;14:e1007549. Abstract
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McMaster ML, Berndt SI, Zhang J, Slager SL, Li SA, Vajdic CM, Smedby KE, Yan H, Birmann BM, Brown EE, et al. Two high-risk susceptibility loci at 6p25.3 and 14q32.13 for Waldenstrom macroglobulinemia. Nat Commun. 2018;9:4182. Abstract
McAllister K, Mechanic LE, Amos C, Aschard H, Blair IA, Chatterjee N, Conti D, Gauderman WJ, Hsu L, Hutter CM, et al. Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. Am J Epidemiol. 2017;186:753-761. Abstract
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Ji Y, Hong X, Wang G, Chatterjee N, Riley AW, Lee LC, Surkan PJ, Bartell TR, Zuckerman B, Wang X. A Prospective Birth Cohort Study on Early Childhood Lead Levels and Attention Deficit Hyperactivity Disorder: New Insight on Sex Differences. J Pediatr. 2018;199:124-131.e8. Abstract
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Gauderman WJ, Mukherjee B, Aschard H, Hsu L, Lewinger JP, Patel CJ, Witte JS, Amos C, Tai CG, Conti D, et al. Update on the State of the Science for Analytical Methods for Gene-Environment Interactions. Am J Epidemiol. 2017;186:762-770. Abstract
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Fang J, Jia J, Makowski M, Xu M, Wang Z, Zhang T, Hoskins JW, Choi J, Han Y, Zhang M, et al. Publisher correction: Functional characterization of a multi-cancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148. Nat Commun. 2018;9:16159. Abstract
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Derkach A, Zhang H, Chatterjee N. Power Analysis for Genetic Association Test (PAGEANT) provides insights to challenges for rare variant association studies. Bioinformatics. 2018;34:1506-1513. Abstract
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Abubakar M, Chang-Claude J, Ali HR, Chatterjee N, Coulson P, Daley F, Blows F, Benitez J, Milne RL, Brenner H, et al. Etiology of hormone receptor positive breast cancer differs by levels of histologic grade and proliferation. Int J Cancer. 2018;143:746-757. Abstract