Weiva Sieh, MD, PhD, MS
Department of Epidemiology, Division of Cancer Prevention and Population Sciences
Present Title & Affiliation
Primary Appointment
Adjunct Professor, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
Adjunct Professor, Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
Professor, Epidemiology, Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX
Research Interests
Dr. Weiva Sieh is a cancer genetic epidemiologist with a research focus on understanding the etiology and outcomes of hormone-related cancers. Specific areas of interest include: 1) Genomic and radiomic predictors of breast cancer risk; 2) Genetic and lifestyle determinants of mammographic breast density; 3) Ovarian cancer risk and outcomes; and 4) Mental health outcomes in prostate cancer survivors and their partners.
Education & Training
Degree-Granting Education
| 2003 | University of Washington, Seattle, Washington, US, Ph.D. in Epidemiology |
| 2002 | University of Washington, Seattle, Washington, US, M.S. in Biostatistics |
| 1997 | McGill University, Montreal, CA, MD |
| 1992 | Harvard University, Cambridge, Massachusetts, US, BA in Biology |
Postgraduate Training
| 2003-2007 | Postdoctoral Fellow, Statistical Genetics, University of Washington, Seattle, Washington |
Grant & Contract Support
| Date: | 2024 - 2029 |
| Title: | WISDOM: A platform to optimize subtype-specific screening and prevention |
| Funding Source: | UCSF; NIH/NCI |
| Role: | Co-I |
| ID: | P01 CA281826 (Project 2 and Project 3) |
| Date: | 2022 - 2027 |
| Title: | Long-term mental health outcomes in prostate cancer survivors and their partners |
| Funding Source: | NIH/NCI |
| Role: | Multiple Principal Investigator |
| ID: | R01 CA269553 |
| Date: | 2021 - 2026 |
| Title: | Radiomic and genomic predictors of breast cancer risk |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | R01 CA264987 |
| Date: | 2019 - 2025 |
| Title: | Genomic and transcriptomic analysis of mammographic density |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | R01 CA237541 |
Selected Publications
Peer-Reviewed Articles
- Crump, C, Stattin, P, Brooks, JD, Sundquist, J, Wei, J, Sieh, W*, Sundquist, K*. Associations Between Prostate Cancer and Dementia. Eur Urol Oncol 8(4):857-865, 2025. e-Pub 2025. PMID: 40280786.
- Vabistsevits M, Davey Smith G, Richardson TG, Richmond RC, Sieh W, Rothstein JH, Habel LA, Alexeeff SE, Lloyd-Lewis B, Sanderson E. Mammographic density mediates the protective effect of early-life body size on breast cancer risk. Nat Commun 15(1):4021, 2024. e-Pub 2024. PMID: 38740751.
- Crump, C, Stattin, P, Brooks, JD, Sundquist, J, Edwards, AC, Sundquist, K, Sieh, W. Risks of depression, anxiety, and suicide in partners of men with prostate cancer. J Natl Cancer Inst 116(5):745-752, 2024. e-Pub 2024. PMID: 38060258.
- Song, X, Ji, J, Rothstein, JH, Alexeeff, SE, Sakoda, LC, Sistig, A, Achacoso, N, Jorgenson, E, Whittemore, AS, Klein, R, Habel, LA, Wang, P, Sieh, W. MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer. Nat Commun 14(1), 2023. e-Pub 2023. PMID: 36690614.
- Crump C, Stattin P, Brooks JD, Sundquist J, Bill-Axelson A, Edwards AC, Sundquist K, Sieh W. Long-term Risks of Depression and Suicide Among Men with Prostate Cancer: A National Cohort Study. Eur Urol 84(3):263-272, 2023. e-Pub 2023. PMID: 37169640.
- Habel LA, Alexeeff SE, Achacoso N, Arasu VA, Gastounioti A, Gerstley L, Klein RJ, Liang RY, Lipson JA, Mankowski W, Margolies LR, Rothstein JH, Rubin DL, Shen L, Sistig A, Song X, Villaseñor MA, Westley M, Whittemore AS, Yaffe MJ, Wang P, Kontos D, Sieh W. Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women. Breast Cancer Res 25(1):92, 2023. e-Pub 2023. PMID: 37544983.
- Arasu, VA, Habel, LA, Achacoso, N, Buist, DS, Cord, JB, Esserman, L, Hylton, NM, Glymour, MM, Kornak, J, Kushi, LH, Lewis, DA, Liu, VX, Lydon, CM, Miglioretti, DL, Navarro, DA, Pu, A, Shen, L, Sieh, W, Yoon, HC, Lee, C. Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction. Radiology 307(5), 2023. e-Pub 2023. PMID: 37278627.
- Sieh W, Rothstein JH, Klein RJ, Alexeeff SE, Sakoda LC, Jorgenson E, McBride RB, Graff RE, McGuire V, Achacoso N, Acton L, Liang RY, Lipson JA, Rubin DL, Yaffe MJ, Easton DF, Schaefer C, Risch N, Whittemore AS, Habel LA. Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk. Nat Commun 11(1):5116, 2020. e-Pub 2020. PMID: 33037222.
- Schaffter T, Buist DSM, Lee CI, Nikulin Y, Ribli D, Guan Y, Lotter W, Jie Z, Du H, Wang S, Feng J, Feng M, Kim HE, Albiol F, Albiol A, Morrell S, Wojna Z, Ahsen ME, Asif U, Jimeno Yepes A, Yohanandan S, Rabinovici-Cohen S, Yi D, Hoff B, Yu T, Chaibub Neto E, Rubin DL, Lindholm P, Margolies LR, McBride RB, Rothstein JH, Sieh W, Ben-Ari R, Harrer S, Trister A, Friend S, Norman T, Sahiner B, Strand F, Guinney J, Stolovitzky G, DREAM Consortium ATD, Mackey L, Cahoon J, Shen L, Sohn JH, Trivedi H, Shen Y, Buturovic L, Pereira JC, Cardoso JS, Castro E, Kalleberg KT, Pelka O, Nedjar I, Geras KJ, Nensa F, Goan E, Koitka S, Caballero L, Cox DD, Krishnaswamy P, Pandey G, Friedrich CM, Perrin D, Fookes C, Shi B, Cardoso Negrie G, Kawczynski M, Cho K, Khoo CS, Lo JY, Sorensen AG, Jung H. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms. JAMA Netw Open 3(3):e200265, 2020. e-Pub 2020. PMID: 32119094.
- Shen L, Margolies LR, Rothstein JH, Fluder E, McBride R, Sieh W. Deep Learning to Improve Breast Cancer Detection on Screening Mammography. Sci Rep 9(1):12495, 2019. e-Pub 2019. PMID: 31467326.
- Alexeeff SE, Odo NU, McBride R, McGuire V, Achacoso N, Rothstein JH, Lipson JA, Liang RY, Acton L, Yaffe MJ, Whittemore AS, Rubin DL, Sieh W*, Habel LA*. Reproductive Factors and Mammographic Density: Associations Among 24,840 Women and Comparison of Studies Using Digitized Film-Screen Mammography and Full-Field Digital Mammography. Am J Epidemiol 188(6):1144-1154, 2019. e-Pub 2019. PMID: 30865217.
- Alexeeff SE, Odo NU, Lipson JA, Achacoso N, Rothstein JH, Yaffe MJ, Liang RY, Acton L, McGuire V, Whittemore AS, Rubin DL, Sieh W*, Habel LA*. Age at Menarche and Late Adolescent Adiposity Associated with Mammographic Density on Processed Digital Mammograms in 24,840 Women. Cancer Epidemiol Biomarkers Prev 26(9):1450-1458, 2017. e-Pub 2017. PMID: 28698185.
- Ioannidis NM, Rothstein JH, Pejaver V, Middha S, McDonnell SK, Baheti S, Musolf A, Li Q, Holzinger E, Karyadi D, Cannon-Albright LA, Teerlink CC, Stanford JL, Isaacs WB, Xu J, Cooney KA, Lange EM, Schleutker J, Carpten JD, Powell IJ, Cussenot O, Cancel-Tassin G, Giles GG, MacInnis RJ, Maier C, Hsieh CL, Wiklund F, Catalona WJ, Foulkes WD, Mandal D, Eeles RA, Kote-Jarai Z, Bustamante CD, Schaid DJ, Hastie T, Ostrander EA, Bailey-Wilson JE, Radivojac P, Thibodeau SN, Whittemore AS, Sieh W. REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants. Am J Hum Genet 99(4):877-885, 2016. e-Pub 2016. PMID: 27666373.
- Habel LA, Lipson JA, Achacoso N, Rothstein JH, Yaffe MJ, Liang RY, Acton L, McGuire V, Whittemore AS, Rubin DL, Sieh W. Case-control study of mammographic density and breast cancer risk using processed digital mammograms. Breast Cancer Res 18(1):53, 2016. e-Pub 2016. PMID: 27209070.
- Sieh W, Rothstein JH, McGuire V, Whittemore AS. The role of genome sequencing in personalized breast cancer prevention. Cancer Epidemiol Biomarkers Prev 23(11):2322-7, 2014. e-Pub 2014. PMID: 25342391.
- Sieh W, Sundquist K, Sundquist J, Winkleby MA, Crump C. Intrauterine factors and risk of nonepithelial ovarian cancers. Gynecol Oncol 133(2):293-7, 2014. e-Pub 2014. PMID: 24530563.
- Sieh W, Köbel M, Longacre TA, Bowtell DD, deFazio A, Goodman MT, Høgdall E, Deen S, Wentzensen N, Moysich KB, Brenton JD, Clarke BA, Menon U, Gilks CB, Kim A, Madore J, Fereday S, George J, Galletta L, Lurie G, Wilkens LR, Carney ME, Thompson PJ, Matsuno RK, Kjær SK, Jensen A, Høgdall C, Kalli KR, Fridley BL, Keeney GL, Vierkant RA, Cunningham JM, Brinton LA, Yang HP, Sherman ME, García-Closas M, Lissowska J, Odunsi K, Morrison C, Lele S, Bshara W, Sucheston L, Jimenez-Linan M, Driver K, Alsop J, Mack M, McGuire V, Rothstein JH, Rosen BP, Bernardini MQ, Mackay H, Oza A, Wozniak EL, Benjamin E, Gentry-Maharaj A, Gayther SA, Tinker AV, Prentice LM, Chow C, Anglesio MS, Johnatty SE, Chenevix-Trench G, Whittemore AS, Pharoah PD, Goode EL, Huntsman DG, Ramus SJ. Hormone-receptor expression and ovarian cancer survival: an Ovarian Tumor Tissue Analysis consortium study. Lancet Oncol 14(9):853-62, 2013. e-Pub 2013. PMID: 23845225.
- Sieh W, Salvador S, McGuire V, Weber RP, Terry KL, Rossing MA, Risch H, Wu AH, Webb PM, Moysich K, Doherty JA, Felberg A, Miller D, Jordan SJ, Australian Cancer Study (Ovarian Cancer), Australian Ovarian Cancer Study Group, Goodman MT, Lurie G, Chang-Claude J, Rudolph A, Kjær SK, Jensen A, Høgdall E, Bandera EV, Olson SH, King MG, Rodriguez-Rodriguez L, Kiemeney LA, Marees T, Massuger LF, van Altena AM, Ness RB, Cramer DW, Pike MC, Pearce CL, Berchuck A, Schildkraut JM, Whittemore AS, Ovarian Cancer Association Consortium. Tubal ligation and risk of ovarian cancer subtypes: a pooled analysis of case-control studies. Int J Epidemiol 42(2):579-89, 2013. e-Pub 2013. PMID: 23569193.
Editorials
- Crump C, Sieh W. Hidden Morbidity in Cancer Care-Mental Health in Spouses. JAMA Oncology 10(10):1317-1318, 2024. PMID: 39145958.
Patient Reviews
CV information above last modified September 28, 2026