Publications
Peer-reviewed Publications
Zhang, T., …, Dutta, D., …, Stolzenberg-Solomon, R. Z. Different diabetes types and pancreatic ductal adenocarcinoma: a Mendelian randomization and pathway/gene-set analysis. JNCI. 2025. doi: 10.1093/jnci/djaf308.
Freimann, K., Brummer, A., …, Dutta, D., …, Alasoo, K.Trans-eQTL mapping prioritises USP18 as a negative regulator of interferon response at a lupus risk locus. Nature Communications. 2025. 16, 8795.
Winter, T. 1, Jahagirdar, O. 1, …, Dutta, D.. Mendelian randomization identifies risk factor differences across renal cell carcinoma subtypes.. International Journal of Epidemiology. 2025. 54(6) dyaf177.
Mhatre, S. 1, Dutta, D. 1, …, Dikshit, R., Chatterjee, N. A Genome-wide Association study of Buccal Mucosa Cancer in India and Multi-ancestry Meta-analysis Identifies Novel Risk Loci and Gene-environment Interactions.. eBioMedicine. 2025. 122-106042.
Dutta, D.1, Gouveia, M.H.1, Gorman, B.R.1, …, Mbulaiteye, S. M. A genome-wide association study identifies an African-specific locus on chromosome 21q22.12 associated with Burkitt lymphoma risk and survival. Leukemia. 2025. doi: 10.1038/s41375-025-02690-8
Hubbard, A. K., …, Dutta, D., …, Machiela, M. J. Integration of germline and somatic variation improves chronic lymphocytic leukemia risk stratification. Cancer Research. 2025. 85 (14), 2743–2752.
Dutta, D., Chatterjee, N. Expanding scope of genetic studies in the era of biobanks. Human Molecular Genetics. 2025. ddaf054, doi:10.1093/hmg/ddaf054.
Qi, G., …, Dutta, D., …, Chatterjee, N. A large-scale pleiotropic analysis identifies trait-specific loci and functional mechanisms. Nature Communications. 2024. 15, 6985.
Dutta, D., Guo, X., Winter, T.D., …, Purdue, M.P. Transcriptome-and proteome-wide association studies identify genes associated with renal cell carcinoma. The American Journal of Human Genetics. 2024. 111(9), 1864-1876.
Dutta, D., Sen, A., Satagopan, J. S. Identifying genes associated with disease outcomes using joint sparse canonical correlation analysis—An application in renal clear cell carcinoma. Genetic Epidemiology. 2024. 1-19. doi: 10.1002/gepi.22566
Purdue, M. 1, Dutta, D. 1, …, Chanock, S. Multi-ancestry genome-wide association study of kidney cancer identifies 63 susceptibility regions. Nature Genetics. 2024. 56, 809-818.
Guo, X., Chatterjee, N., Dutta, D. Subset-based method for cross-tissue transcriptome-wide association studies improves power and interpretability. HGG Advances. 2024. 5(2) 100283.
Maity, S., Dutta, D., Terhorst, J., Sun, Y., Banerjee, M. A linear adjustment based approach to posterior drift in transfer learning. Biometrika. 2023. 111(1) 31-50.
Koutros, S., Kiemeney, L. A., …, Dutta, D.,…, Rothman, N. Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights. European Urology. 2023. 84(1) 127-137.
Dutta, D., Sen, A., Satagopan, J. Sparse canonical correlation to identify breast cancer related genes regulated by copy number aberrations. Plos One. 2022. 17 (12) e0276886.
Surapaneni, A., Schlosser, P., … , Dutta, D., … , Grams, M. E. Identification of 969 protein quantitative trait loci in an African American population with kidney disease attributed to hypertension. Kidney International. 2022. 102(5) 1167-1177.
Dutta, D., He, Y., Saha, A., Arvanitis, M., Battle, A., Chatterjee, N. Aggregative trans-eQTL analysis detects trait-specific target gene sets in whole blood. Nature Communications. 2022. 13, 4323.
Zhang, J., Dutta, D., Kottgen, A., … , Chatterjee, N. Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies. Nature Genetics. 2022. 54 593-602.
Rhee, E., Surapaneni, A., Zheng, Z., Zhou, L., Dutta, D., … , Grams, M. E. A Trans-ethnic Genome-wide Association Study of Blood Metabolites in the Chronic Renal Insufficiency Cohort (CRIC) Study. Kidney International. 2022. 101(4) 814-823.
Shabani, M., Dutta, D., … , Lima, J. Rare genetic variants associated with Myocardial Fibrosis in Multi Ethnic Study of Atherosclerosis (MESA). Frontiers in Cardiovascular Medicine. 2022. 9:804788.
Qi, G. 1, Dutta, D. 1, Leroux, A., Ray, D., Crainiceanu, C., Chatterjee, N. Genome-wide association studies of 27 accelerometry-derived physical activity measurements identifies novel loci and genetic mechanisms. Genetic Epidemiology. 2022. 46(2) 122-138.
Grams, M. E., Surapaneni, A., Chen, J., Zhou, L., Yu, Z., Dutta,D., … , Coresh, J. Proteins Associated with Risk of Kidney Function Decline in the General Population. Journal of the American Society of Nephrology. 2021. 32(9) 2291-2302.
Cox, C. K., Zawitowski, M. , Pandit, A., Dutta, D., Narla, G., Swenson, C. W. Genome-Wide Association Study of Pelvic Organ Prolapse Using the Michigan Genomics Initiative. Female Pelvic Medicine & Reconstructive Surgery. 2021. 27(8) 502-506.
Dutta, D., VandeHaar, P., Fritsche, L. G., Zollner, S., Boehnke, M., Scott, L. J., Lee, S. A powerful subset-based gene-set analysis method identifies novel associations and improves interpretation in UK Biobank. The American Journal of Human Genetics. 2021. 108(4) 669-681.
Dutta, D., Brummett, C., Fritsche, L., Moser, S., Tsodikov, A., Lee, S., Clauw, D., Scott, L. (2020) Heritability of the fibromyalgia phenotype varies by age. Arthritis & Rheumatology. 2020. 72(5), 815-823.
Arvanitis, M., Tampakakis, E., Zhang, Y., Wang, W., Auton, A., 23andMe Research Team, Dutta, D., Glavaris, S., Keramati, A., Chatterjee, N., Chi, N. C., Ren, B., Post, W. S., Battle, A. Genome-wide association and multi-omic analyses reveal ACTN2 as a gene linked to heart failure. Nature Communications. 2020. 11(1), 1-12.
Dutta, D., Gagliano, S. A., Weinstock, J., Zawistowski, Sidore, C., Fritsche, L., M., Cucca, F., Schlessinger, D., Abecasis, G., Brummett, C., Lee. S. Meta-MultiSKAT: Region-based rare variant meta-analysis of multiple phenotypes using summary statistics. Genetic Epidemiology. 2019. 43(7), 800-814.
Dutta, D., Scott, L., Boehnke, M., Lee, S. Multi-SKAT: General framework to test multiple phenotype associations of rare variants. Genetic Epidemiology. 2019. 43(1), 1-20.
Submitted and Preprints
Dutta, D. 1, Zhang, J. 1, …, Chatterjee, N. Leveraging and partitioning polygenic risk scores to identify proteomic mediators of cancer risk
Chhetri, S.B., Winter, T.D., …, Dutta, D. Integrative multi-omic analysis identifies key transcription factors and target proteins in renal cell carcinoma and its subtypes
Mukherjee, D., Wang, K., Song, A.J., …, Dutta, D. 1, Sahoo, I 1 TASTE identifies shared proteomic effects on multiple related cancers
Sajal, I.H., …, Dutta, D. Integrative analysis prioritizes proteins associated to renal cell carcinoma and its risk factors.
1: Authors contributed equally
Articles in preparation
Song, A.J., Chatterjee, C., …, Dutta, D. Proteogenomic analysis provides insights into the effect of physical activity on cancers.
Sajal, I.H., Wang, K., …, Dutta, D. Meta-trans identifies association between disease-related variants and pathways.
Dissertation
Dutta. D. Statistical Methods for Gene-based and Gene-Set Analysis. PhD Dissertation Thesis. Advisor Dr. Seunggeun (Shawn) Lee. 