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      Arjun Bhattacharya Image

      Arjun Bhattacharya

      Department of Epidemiology, Division of Cancer Prevention and Population Sciences

      Present Title & Affiliation

      Primary Appointment

      Assistant Professor, Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas

      Affiliate, Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas

      Dual/Joint/Adjunct Appointment

      Affiliate, Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas

      Assistant Professor, Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas

      Education & Training

      Degree-Granting Education

      2015University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, US, Biology, Bachelors of Science
      2015University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, US, Mathematical Decision Sciences, Bachelors of Science
      2020University of North Carolina at Chapel Hill, Chapel Hill, NC, US, Biostatistics, PhD

      Postgraduate Training

      2020-2023Postdoctoral Fellow, Computational Medicine, University of California, Los Angeles, Los Angeles, CA

      Experience & Service

      Other Professional Positions

      Fellow, University of California, Los Angeles, Los Angeles, California, 2021 - 2023

      Intramural Institutional Committee Activities

      Reviewer, Quantitative Science Admission Sub-committee, The University of Texas MD Anderson Cancer Center, 2025 - Present

      Member, Student Success & Well-Being Committee Meeting, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, 2024 - Present

      Editorial Activities

      Academic Editor, PLOS Genetics, 2025 - Present

      Guest Editor, PLOS Genetics, 2024 - 2024

      Honors & Awards

      2025 - PresentEmerging Leader, The British Journal of Cancer
      2024 - PresentUT Rising STARs Award
      2023 - PresentUCLA Institute for Quantitative and Computational Biosciences (QCB) Collaboratory Service Award
      2022Epstein Postdoctoral Award Semifinalist, American Society of Human Genetics
      2022Most Outstanding Oral Presentation, Early Career Investigator Program, International Society for Psychiatric Genetics
      2022James V. Neel Award, International Genetic Epidemiology Society
      2021UCLA Bruins in Genomics Mentorship Award, UCLA Institute for Quantitative and Computational Biosciences
      2021O'Malley Alumni Award for Publication Excellence in Population Sciences, The Gillings School of Global Public Health, University of North Carolina at Chapel Hill
      2018Training Fellowship in Breast Cancer Disparities, Susan G. Komen
      2011Innovation Scholarship, Mackenzie Family Foundation

      Professional Memberships

      American Association for Cancer Research

      2023 - Present

      International Genetic Epidemiology Society

      2019 - Present

      American Society for Human Genetics

      2018 - Present

      Selected Presentations & Talks

      Local Presentations

      1. 2024. Considerations for computational molecular precision medicine. Invited. Houston, Texas, US.
      2. 2024. Considerations for computational molecular precision medicine. Invited. Grand Rounds. Houston, Texas, US.

      Regional Presentations

      1. 2024. Integrative computational methods to unlock the wealth of information in bulk RNA-sequencing. Invited. Human Genetics Center Seminar Series. Houston, Texas, US.

      National Presentations

      1. 2026. Opportunities and advancements in integrating long- and short-read RNA-seq across differential expression analysis, quantitative trait locus mapping, and outcome prediction. Invited. Joint Statistical Meetings. Boston, Massachusetts, US.
      2. 2025. Integrating Environment, Gene Expression, & Computational Models to Identify Modifiable Pathways Across Diverse Populations. Panelist. Pediatric Academic Societies Annual Meeting 2025. Honolulu, Hawaii, US.
      3. 2024. Inferring gene isoform mechanisms underlying genetic associations with cancer risk. Invited. UNC Biostatistics 75th Anniversary Celebration. Chapel Hill, North Carolina, US.
      4. 2024. Isoform-specific analyses to uncover hidden cancer risk mechanisms. Invited. Division of Epidemiology Seminar Series. Nashville, Tennessee, US.
      5. 2024. Integrative computational methods to unlock the wealth of information in bulk RNA-sequencing. Conference. STATGEN 2024. Pittsburgh, Pennsylvania, US.
      6. 2024. Integrative computational methods to unlock the wealth of information in bulk RNA-sequencing. Invited. UNC-Chapel Hill Biostatistics Genomics Seminar. Chapel Hill, North Carolina, US.
      7. 2023. Isoform-level transcriptome-wide association studies uncover novel biological mechanisms underlying genetic associations with neuropsychiatric traits. Invited. The American College of Neuropharmocology Annual Meeting. Tampa, Florida, US.
      8. 2023. Gene-level germline associations with breast cancer subtype and survival. Invited. Breast Ovarian Consortia Meeting, US.
      9. 2023. Isoform-level transcriptome-wide association studies uncover novel biological mechanisms underlying genetic associations with neuropsychiatric traits. Invited. University of Pennsylvania Symposium on Genetics and Epigenetics of Behavior. Philadelphia, Pennsylvania, US.

      International Presentations

      1. 2026. Splicing-resolved genomics for precision women’s health across populations. Invited. Toronto, CA.
      2. 2025. Discovering novel isoform regulation in complex diseases by integrating long- and short-read RNA-sequencing. Invited. Helsinki, FI.
      3. 2025. Isoform-specific analyses to uncover hidden cancer risk mechanisms. Invited. 1.Novel Statistical Approaches for Studying Multi-omics Data Workshop. Banff, CA.
      Read More
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      Grant & Contract Support

      Date: 2027 - 2031
      Title:Precision breast cancer prognosis and treatment prediction models via gene isoform-level profiles from long-read RNA-seq with multi-cohort validation
      Funding Source:https://ror.org/0447fe631
      Role:PI
      ID:BC260441
      Date: 2027 - 2031
      Title:A gene isoform-based prediction tool for breast cancer survival and recurrence across molecular subtype
      Funding Source:American Cancer Society
      Role:PI
      ID:RSG-1697674
      Date: 2027 - 2031
      Title:A gene isoform-based prediction tool for breast cancer survival and recurrence across molecular subtype
      Funding Source:American Cancer Society
      Role:PI
      ID:RSG-1697674
      Date: 2027 - 2030
      Title:Dissecting germline regulatory pathways linking breast density to tumor development
      Funding Source:American Cancer Society
      Role:Mentor
      ID:Postdoctoral-1696755
      Date: 2027 - 2029
      Title:Identifying PFAS-Induced Disruption of Placental Imprinting and Neurodevelopment Through Multi-Omic Negative Control Calibration
      Funding Source:NIH
      Role:PI
      ID:R21ES0398048-01A1
      Date: 2027 - 2029
      Title:Understanding how the maternal metabolic environment moderates fetal genetic regulation of the placental transcriptome underlying childhood metabolic traits
      Funding Source:NIH/NCI
      Role:PI
      ID:R21-pending
      Date: 2027 - 2029
      Title:Precision breast cancer prognosis and treatment prediction models via gene isoform-level profiles from long-read RNA-seq with multi-cohort validation
      Funding Source:Damon Runyon Cancer Research Foundation
      Role:PI
      ID:ID 1707440
      Date: 2026 - Present
      Title:Resolving heterogeneous effects of gestational diabetes on child outcomes via placental function: single-cell, long-read RNA-sequencing, multi-ancestry causal inference, and experimental validation
      Funding Source:NIH/NICHD
      Role:PI
      ID:FP00024022_Res1
      Date: 2026 - 2030
      Title:Gene Isoform-Specific Signatures in Immunoinflammatory Cells for Prediction of Recurrence in Oropharyngeal Cancer Across HPV and Smoking Exposure
      Funding Source:Cancer Prevention and Research Institute of Texas
      Role:Co-PI
      ID:FP00026091_res1
      Date: 2026 - 2029
      Title:CAR T cell targeting STEAP1 in lung cancer
      Funding Source:Cancer Prevention and Research Institute of Texas
      Role:Key
      ID:FP00026367_Res1
      Date: 2026 - 2030
      Title:Precision breast cancer prognosis prediction using tumor gene isoform expression with multi-cohort evaluation and validation
      Funding Source:Department of Defense (DOD)
      Role:PI
      ID:BC251485
      Date: 2026 - Present
      Title:The Effects of Burn Pit and Toxicant Exposure to Lung Cancer Risk and Progression via Alternative Splicing and Transcript-Isoform Expression Moderation
      Funding Source:Department of Veteran Affairs
      Role:Co-I
      ID:FP00029744
      Date: 2026 - 2031
      Title:A gene isoform-based tool to predict breast cancer survival and recurrence across subtype through long-read RNA-sequencing and deep learning
      Funding Source:NIH
      Role:PI
      ID:RSG-1596057
      Date: 2026 - 2031
      Title:Machine learning tools to uncover isoform regulation of breast density and cancer (co-mentor, no effort)
      Funding Source:NIH/NCI
      Role:Mentor
      Date: 2026 - 2028
      Title:Identifying PFAS-Induced Disruption of Placental Imprinting and Neurodevelopment Through Multi-Omic Negative Control Calibration
      Funding Source:NIH
      Role:PI
      ID:FP00028049
      Date: 2026 - 2031
      Title:Gene isoform models to predict breast cancer prognosis and treatment response across molecular subtypes using long-read RNA-sequencing and deep learning
      Funding Source:NCI/NIH
      Role:PI
      ID:R01CA315784
      Date: 2026 - 2030
      Title:A gene isoform-based prediction tool for breast cancer survival and recurrence across subtype
      Funding Source:ACS
      Role:PI
      ID:RSG-1519750
      Date: 2026 - 2028
      Title:Assortative Mating and Parent-of-Origin Epigenetic Effects in Autism Spectrum Disorder: A Multi-Cohort Analysis of Genetic and Methylation Patterns
      Funding Source:Simons Foundation
      Role:PI
      ID:AN-AR-Data Analysis-00019981
      Date: 2026 - 2030
      Title:CAR T cell targeting STEAP1 in Lung Cancer
      Funding Source:American Cancer Society
      Role:Co-I
      ID:FP00028747
      Date: 2026 - 2030
      Title:A gene isoform-based prediction tool for breast cancer survival and recurrence across molecular subtype
      Funding Source:American Cancer Society
      Role:PI
      ID:FP00026574_Res1
      Date: 2025 - 2029
      Title:Gene Isoform-specific signatures in immunoinflammatory cells for early detection of recurrence in oropharyngeal cancer across HPV and smoking exposure
      Funding Source:CPRIT
      Role:Co-I
      ID:RP260290
      Date: 2025 - 2028
      Title:Precision breast cancer prognosis prediction using tumor isoform expression with multi-cohort validation, including a new Texas cohort
      Funding Source:CPRIT
      Role:PI
      ID:RP260328
      Date: 2025 - 2028
      Title:CAR T cell targeting STEAP1 in lung cancer
      Funding Source:CPRIT
      Role:Co-I
      ID:RP260292
      Date: 2025 - 2029
      Title:Multi-ancestry study of mammographic density
      Funding Source:NCI
      Role:Co-I
      ID:R01CA298162
      Date: 2025 - 2030
      Title:Understanding the contribution of placental genomics to gestational diabetes-associated childhood metabolic outcome disparities with a novel multi-ancestry transcriptomic reference
      Funding Source:NIH: NICHD
      Role:Co-PI
      Date: 2025 - 2028
      Title:The effects of burn pit and toxicant exposure to lung cancer risk and progression via alternative splicing and transcript-isoform expression moderation
      Funding Source:DOD
      Role:PI
      ID:TERP-TRA TX240398P1
      Date: 2025 - 2027
      Title:A unified software suite to integrate genetic variation, isoform quantifications, and phenotypic associations to understand complex disease etiology
      Funding Source:NCI
      Role:PI
      ID:R03HG014605
      Date: 2025 - 2026
      Title:Isoform-level analysis of long-read RNA-sequencing for cancer risk and outcomes
      Funding Source:UTMDACC Cancer Center Support
      Role:PI
      ID:P30 CA016672
      Date: 2025 - 2030
      Title:Understanding the contribution of placental genomics to gestational diabetes-associated childhood metabolic outcome disparities with a novel multi-ancestry transcriptomic reference
      Funding Source:NIH
      Role:PI
      Date: 2024 - 2029
      Title:Multi-ancestry study of mammographic density
      Funding Source:NCI
      Role:Co-I
      ID:FP00022415
      Date: 2024 - 2026
      Title:Alternative splicing and isoform expression as mediators for the genetic etiology of breast cancer
      Funding Source:NIH
      Role:PI
      ID:R21CA293419
      Date: 2024 - 2025
      Title:UT Rising Stars
      Funding Source:UTMDACC
      Role:PI

      Selected Publications

      Peer-Reviewed Articles

      1. Arasu VA, Gadgil T, Rothstein JH, Alexeeff SE, Achacoso NS, Bhattacharya A, Cord JB, Esserman LJ, Galbraith W, Gerstley LD, Head S, Hylton NM, Kushi LH, Lee C, Leimpeter AD, Lewis DA, Liu V, Marafino BJ, Margolies LR, Navarro DA, Pu A, Sakoda LC, Shan J, Shieh Y, Sistig A, Gueye CS, Veer LV, Villasenor M, Westley M, Wisner DJ, Tice JA, Shen L, Habel LA, Sieh W. Comparative 10-Year Performance of Mammography Artificial Intelligence, Polygenic, and Clinical Breast Cancer Risk Models in the Kaiser Permanente Research Bank. JNCI. e-Pub 2026.
      2. Bresnahan ST, Yong H, Nemani A, Wu WH, Lopez S, Yen Chan JK, White F, Jacques P, Hivert M, Chan S, Love MI, Huang JY, Bhattacharya A. Long-read transcriptome assembly reveals vast isoform diversity in the placenta associated with metabolic and endocrine function. Nat Commun, 2026. e-Pub 2026. PMID: 41927596.
      3. Bresnahan ST, Yong HEJ, Drelichman MG, Campbell SN, Trapse AE, Romo GR, Cellini CM, Lopez S, Chan JKY, Chan S, Elkin ER, Bhattacharya A, Huang JY. Natural variation in transplacental transfer efficiency exposes distinct transcriptional network architectures of PFAS effects on birth weight and gestational age. bioRxiv (Environ Health Perspect). e-Pub 2026. PMID: 41929032.
      4. Sistig A, Rothstein JH, Zhu S, Head ST, Chang Y, Achacoso N, Alexeef SE, Arasu V, Gadgil T, Gerstley LD, Margolie LR, Sakoda LC, Shen L, Gueye CLS, Villaseñor M, Westley M, MODE/BCAC Consortium, Bhattacharya A, Klein RJ, Habel LA, Song X, Wang P, Sieh W. Cell-type aware transcriptome-wide association study of mammographic density phenotypes. medRxiv (NPJ Breast Cancer). e-Pub 2025. PMID: 41358319.
      5. Head S, Bresnahan ST, Cole N, Wu W, Bhattacharya A. Quantification method affects replicability of eQTL analysis, colocalization, and TWAS. bioRxiv (Nat Genet). e-Pub 2025. PMID: 40894657.
      6. Chang Y, Byun J, Gorman BR, Hung RJ, McKay JD, Amos CI, Pyarajan S, Bhattacharya A, Sun R. Formal statistical replication in lung cancer genome-wide association studies. medRxiv. e-Pub 2025. PMID: 41256160.
      7. Chang Y, Bresnahan ST, Head ST, Harrison T, Yu Y, Huff CD, Pasaniuc B, Lindström S, Bhattacharya A. Isoform-level analyses of 6 cancers uncover extensive genetic risk mechanisms undetected at the gene-level. Br J Cancer 133(6):874-885, 2025. e-Pub 2025. PMID: 40775447.
      8. Gaynor-Gillett, SC, Cheng, L, Shi, M, Liu, J, Wang, G, Spector, M, Guo, Q, Qi, L, Flaherty, M, Wall, M, Hwang, A, Gu, M, Chen, Z, Chen, Y, Moran, JR, Zhang, J, Lee, D, Gerstein, M, Geschwind, D, White, KP, Akbarian, S, Abyzov, A, Ahituv, N, Arasappan, D, Armenteros, JA, Beliveau, BJ, Bendl, J, Berretta, S, Bharadwaj, RA, Bhattacharya, A, Bicks, L, Brennand, KJ, Capauto, D, Champagne, FA, Chatterjee, T, Chatzinakos, C, Chen, Y, Isaac Chen, H, Cheng, Y, Cheng, L, Chess, A, Chien, JF, Chu, Z, Clarke, D, Clement, A, Collado-Torres, L, Cooper, GM, Crawford, GE, Dai, R, Wang, H. A map of enhancer regions in primary human neural progenitor cells using capture STARR-seq. Genome Research 35(8):1887-1901, 2025. e-Pub 2025. PMID: 40645663.
      9. Venkateswaran, V, Boulier, K, Ding, Y, Johnson, R, Bhattacharya, A, Pasaniuc, B. Polygenic scores for tobacco use provide insights into systemic health risks in a diverse EHR-linked biobank in Los Angeles. Translational psychiatry 14(1), 2024. e-Pub 2024. PMID: 38238290.
      10. Hervoso, JL, Amoah, K, Dodson, J, Choudhury, M, Bhattacharya, A, Quinones-Valdez, G, Pasaniuc, B, Xiao, X. Splicing-specific transcriptome-wide association uncovers genetic mechanisms for schizophrenia. American journal of human genetics 111(8):1573-1587, 2024. e-Pub 2024. PMID: 38925119.
      11. Xia, Y, Xia, C, Jiang, Y, Chen, Y, Zhou, J, Dai, R, Han, C, Mao, Z, Liu, C, Chen, C, Akbarian, S, Abyzov, A, Ahituv, N, Arasappan, D, Armenteros, JA, Beliveau, BJ, Bendl, J, Berretta, S, Bharadwaj, RA, Bhattacharya, A, Bicks, L, Brennand, KJ, Capauto, D, Champagne, FA, Chatterjee, T, Chatzinakos, C, Chen, Y, Chen, HI, Cheng, Y, Cheng, L, Chess, A, Chien, JF, Chu, Z, Clarke, D, Clement, A, Collado-Torres, L, Cooper, GM, Crawford, G, Daskalakis, NP, Davila-Velderrain, J, Deep-Soboslay, A, Deng, C, DiPietro, CP, Dracheva, S, Drusinsky, S, Duan, Z, Duong, D, Dursun, C, Eagles, NJ, Wang, H. Transcriptomic sex differences in postmortem brain samples from patients with psychiatric disorders. Science translational medicine 16(749), 2024. e-Pub 2024. PMID: 38781321.
      12. Wen, C, Margolis, M, Dai, R, Zhang, P, Przytycki, PF, Vo, DD, Bhattacharya, A, Matoba, N, Tang, M, Jiao, C, Kim, M, Tsai, E, Hoh, C, Aygün, N, Walker, RL, Chatzinakos, C, Clarke, D, Pratt, HE, Peters, MA, Gerstein, M, Daskalakis, NP, Weng, Z, Jaffe, AE, Kleinman, JE, Hyde, TM, Weinberger, DR, Bray, NJ, Sěstan, N, Geschwind, DH, Roeder, K, Gusev, A, Pasaniuc, B, Stein, JL, Love, MI, Pollard, KS, Liu, C, Gandal, MJ. Cross-ancestry atlas of gene, isoform, and splicing regulation in the developing human brain. Science 384(6698), 2024. e-Pub 2024. PMID: 38781368.
      13. Yap, CX, Vo, DD, Heffel, MG, Bhattacharya, A, Wen, C, Yang, Y, Kemper, KE, Zeng, J, Zheng, Z, Zhu, Z, Hannon, E, Vellame, DS, Franklin, A, Caggiano, C, Wamsley, B, Geschwind, DH, Zaitlen, N, Gusev, A, Pasaniuc, B, Mill, J, Luo, C, Gandal, MJ. Brain cell-type shifts in Alzheimer's disease, autism, and schizophrenia interrogated using methylomics and genetics. Science Advances 10(21), 2024. e-Pub 2024. PMID: 38781333.
      14. Shin, DS, Basak, S, Veena, MS, Comin-Anduix, B, Bhattacharya, A, Dong, TS, Ko, A, Han, P, Jacobs, J, Moatamed, N, Avila, L, Pellegrini, M, Wang, MB, Srivatsan, ES. Enhanced CTLA-4 blockade anti-tumor immunity with APG-157 combination in a murine head and neck cancer. Cancer medicine 13(9), 2024. e-Pub 2024. PMID: 38686626.
      15. Lo Faro, V, Bhattacharya, A, Zhou, W, Zhou, D, Wang, Y, Läll, K, Kanai, M, Lopera-Maya, EA, Straub, P, Pawar, P, Tao, R, Zhong, X, Namba, S, Sanna, S, Nolte, Im, Okada, Y, Ingold, N, MacGregor, S, Snieder, H, Surakka, I, Shortt, J, Gignoux, C, Rafaels, N, Crooks, K, Verma, A, Verma, SS, Guare, LA, Rader, DJ, Willer, CJ, Martin, AR, Brantley, MA, Gamazon, ER, Jansonius, NM, Joos, K, Cox, NJ, Hirbo, JB. Novel ancestry-specific primary open-angle glaucoma loci and shared biology with vascular mechanisms and cell proliferation. Cell Reports Medicine 5(2), 2024. e-Pub 2024. PMID: 38382466.
      16. Levey, DF, Galimberti, M, Deak, JD, Wendt, FR, Bhattacharya, A, Koller, D, Harrington, KM, Quaden, R, Johnson, EC, Gupta, P, Biradar, M, Lam, M, Cooke, M, Rajagopal, VM, Empke, SL, Zhou, H, Nunez, YZ, Kranzler, HR, Edenberg, HJ, Agrawal, A, Smoller, J, Lencz, T, Hougaard, DM, Børglum, AD, Demontis, D, Gaziano, JM, Gandal, MJ, Polimanti, R, Stein, MB, Gelernter, J. Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications. Nature Genetics 55(12):2094-2103, 2023. e-Pub 2023. PMID: 37985822.
      17. Bhattacharya, A, Vo, DD, Jops, C, Kim, M, Wen, C, Hervoso, JL, Pasaniuc, B, Gandal, MJ. Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brain. Nature Genetics 55(12):2117-2128, 2023. e-Pub 2023. PMID: 38036788.
      18. Petter, E, Ding, Y, Hou, K, Bhattacharya, A, Gusev, A, Zaitlen, N, Pasaniuc, B. Genotype error due to low-coverage sequencing induces uncertainty in polygenic scoring. American journal of human genetics 110(8):1319-1329, 2023. e-Pub 2023. PMID: 37490908.
      19. Mester, R, Hou, K, Ding, Y, Meeks, G, Burch, KS, Bhattacharya, A, Henn, B, Pasaniuc, B. Impact of cross-ancestry genetic architecture on GWASs in admixed populations. American journal of human genetics 110(6):927-939, 2023. e-Pub 2023. PMID: 37224807.
      20. Wang, X, Lu, Z, Bhattacharya, A, Pasaniuc, B, Mancuso, N. twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysis. Bioinformatics 39(5), 2023. e-Pub 2023. PMID: 37099718.
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      Other Articles

      1. Hou, K, Bhattacharya, A, Mester, R, Burch, KS, Pasaniuc, B On powerful GWAS in admixed populations. Nature Genetics 53(12):1631-1633, 2021. PMID: 34824480.
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