Publications

Qi, G., …, Dutta, D., …, Chatterjee, N. A large-scale pleiotropic analysis identifies trait-specific loci and functional mechanisms. 2024. (To appear in Nature Communications)

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. doi: 10.1016/j.ajhg.2024.07.012 (early access)

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.

1: Authors contributed equally

Submitted and Preprints

Hubbard, A. K., …, Dutta, D., Machiela, M. J. Integration of germline and somatic variation improves chronic lymphocytic leukemia risk stratification.

Winter, T., Jahagirdar, O., …, Dutta, D. Mendelian randomization identifies risk factor differences across renal cell carcinoma subtypes.

Articles in preparation

Dutta, D. & Chatterjee, N. Fast and efficient liability model for binary phenotypes in Biobanks.

Dutta, D., Zhang, J., … , Chatterjee, N. Novel sparse canonical correlation analysis to identify trans-regulated protein networks associated with known complex trait variants.

Shabani, M., Dutta, D., … , Lima, J. Rare Genetic Variants in Individuals with Low ASCVD Risk and Hard CHD or High Coronary Artery Disease: Multi-Ethnic Study of Atherosclerosis.

Chhetri, S., Dutta, D., … , Battle, A. A colocalization approach to determine shared heritability of diseases across ethnicities

Dissertation

Dutta. D. Statistical Methods for Gene-based and Gene-Set Analysis. PhD Dissertation Thesis. Advisor Dr. Seunggeun (Shawn) Lee. pdf