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Your Environment. Your Health.

Selected Publications

  1. Carroll R., Lawson A.B., Zhao S. (2017). Spatial accelerated failure time model for mortality following breast cancer diagnosis. In Press. Social Science & Medicine. 
  2. Zhao S., Geybels M.S., Leonardson A., Rubicz R., Kolb S., Yan Q., Klotzle B., Bibikova M., Hurtado-Coll A., Troyer D., Lance R., Lin D.W., Wright J.L., Ostrander E.A., Fan J.B., Feng Z., Stanford J.L. (2017). Epigenome-wide Tumor DNA Methylation Profiling Identifies Novel Prognostic Biomarkers of Metastatic-lethal Progression in Men Diagnosed with Clinically Localized Prostate Cancer. Clinical Cancer Research, 23: 311-319. PMID: 27358489; PMCID: PMC5199634; DOI: 10.1158/10780432.CCR-16-0549. [Abstract] 
  3. Rubicz R., Zhao S.*, Wright J.L., Coleman I., Grasso C., Geybels M., Leonardson, A., Kolb S., April C., Bibikova M., Troyer D., Lance R, Lin D.W., Ostrander E.A., Nelson P.S., Fan J., Feng Z., Stanford J.L. (2017). Gene Expression Panel Predicts Metastatic-Lethal Prostate Cancer Outcomes in Men Diagnosed with Clinically Localized Prostate Cancer. Molecular Oncology, 11: 140-150. PMID: 28145099; PMCID: PMC5510189; DOI: 10.1002/1878-0261.12014. (*co-first authors) [Full Text] 
  4. Reese S.E., Zhao S., Wu M.C., Joubert B.R., Parr C.L., H˚aberg S.E., Ueland P.M., Nilsen R.M., Midttun Ø., Vollset S.E., Peddada, S.D., NystadW., London S.J. (2017). DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy. Environmental Health Perspectives. PMID: 27323799; PMCID: PMC5391987. DOI: 10.1289/EHP333. [Abstract] 
  5. Stanford J.L., FitzGerald L.M., Zhao S., Leonardson A., Geybels M., Kolb S., Lin D.W., Wright J., Eeles R., Kote-Jarai Z., Giles G.G., Southey M.C., Schleutker J., Tammela T.L., Sipeky C., Penney K.L., Stampfer M.J., Gronberg H., Wiklund F., Stattin P., Hugosson J., Karyadi D.M., Ostrander E.A., Feng Z.. Germline Variants in IL4 and MGMT are Associated with Prostate Cancer Mortality: A Meta-analysis of 12,082 Patients from Seven International Cohorts. In Press. Prostate Cancer and Prostatic Diseases. 
  6. Park Y.M., O’Brien K.M., Zhao S., Weinberg C.R., Baird, D.D., Sandler, D.P. (2017). Gestational Diabetes Mellitus May be Associated With an Increased Risk of Breast Cancer. British Journal of Cancer, 116: 960-960. PMID: 28208154; PMCID: PMC5379146; DOI: 10.1038/bjc.2017.34. [Abstract] 
  7. Sharp G.C., Arathimos R., Reese S.E., Page C.M., Felix J., Kupers L.K., Rifas-Shiman S.L., Liu C., The Cohorts for Heart and Aging Research in Genomic Epidemiology Plus Methylation AlcohoWorking Group, Burrows K., Zhao S., Magnus M.C., Duijts L., Corpeleijn E., DeMeo D.L., Litonjua A., Baccarelli A., Hivert M., Oken E., Snieder H., Jaddoe V., Nystad W., London S.J., Relton C.L., Zuccolo L. (2017). Maternal Alcohol Consumption and Offspring DNA Methylation: Findings from Six General Population-Based Birth Cohorts. In Press. Epigenomics. 
  8. Felix J.F., Joubert B.R., Baccarelli A.A, Sharp G.C., [multiple contributing authors in alphabetical order including Zhao.S, Agha G., Relton C.L., Jaddoe V.W.V, London S.J. (2017). Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium. International Journal of Epidemiology, 1-23. DOI: 10.1093/ije/dyx190. [Full Text] 
  9. Prentice R.L., Zhao S. (2016). Nonparametric Estimation of the Multivariate Survivor Function: the Multivariate Kaplan-Meier Estimator. Lifetime Data Analysis. PMID: 27677472; PMCID: PMC5373162; DOI: 10.1007/s10985-016-93830y. [Abstract] 
  10. Shui I.M., Wong C., Zhao S., Kolb S., Ebot E.M., Geybels M., Rubicz R., Wright J.L., Lin D.W., Klotzle B., Bibikova M., Fan J., Ostrander E.A., Feng Z., Stanford J.L.. Prostate tumor DNA methylation is associated with cigarette smoking and adverse prostate cancer outcomes. Cancer. In press.
  11. Rubicz R., Zhao S., Geybels M., Wright J.L., Kolb S., Klotzled B., Bibikova M., Troyer D., Lance R., Ostrander E.A., Feng Z., Fan J.B., Stanford J.L. (2016). DNA Methylation Profiles in African American Prostate Cancer Patients in Relation to Disease Progression. Genomics. doi: 10.1016.j.ygeno.2016.02.004. PMID: 26902887; PMCID: PMC4992660. [Abstract]
  12. Valeri L., Reese S.L., Zhao S., Page C.M., Nystad W., Coull B.A., London S.J. (2016). Misclassified Exposure in Epigenetic Mediation Analyses. Does DNA Methylation Mediate Effects of Smoking on Birthweight? Epigenomics, 9: 253-265. PMID: 28234025 PMCID: PMC5331915; DOI: 10.2217/epi-2016-0145. [Abstract] 
  13. Geybels M.S., Wright J.L., Bibikova M., Klotzle B., Fan J.B., Zhao S., Feng Z., Ostrander E.A., Lin D.W., Nelson P.S., Stanford J.L. (2016). Epigenetic Signature of Gleason Score and Prostate Cancer Recurrence after Radical Prostatectomy. Clinical Epigenetics, 8:97. PMID: 27651837; PMCID: PMC5024414; DOI: 10.1186/s13148016-0260-z. [Abstract] 
  14. Schade G.R., Holt S., Zhang X., Wright J.L., Zhao S., Kolb S., Lam H.M., Song D., Levin L., Leung Y.K., Ho S.M., Stanford J.L. (2016). Prostate Cancer Expression Profiles of Cytoplasmic ERβ1 and Nuclear ERβ2 are Associated with Poor Outcomes Following Radical Prostatectomy. Journal of Urology.doi:10.1016/j.juro.2015.12.101. [Abstract]
  15. Zhao S., Zheng Y., Prentice R.L., Feng, Z. (2015). Estimation from a Two-Stage Biomarker Study Allowing Early Termination for Futility. Biostatistics. doi: 10.1093/biostatistics/kxv017.
  16. Geybels M.S., Alumkal J.J., Luedeke M., Rinckleb A., Zhao S., Shui I.M., Bibikova M., Klotzle B., van den Brandt P.A., Ostrander E.A., Fan J., Feng Z., Maier C., Stanford J.L. (2015). Epigenomic profiling of prostate cancer identifies differentially methylated genes in TMPRSS2:ERG fusion positive versus negative tumors. Clinical Epigenetics. doi: 10.1186/s13148-015-0161-6.
  17. Geybels M.S., Zhao S., Wong C., Bibikova M., Klotzle, B., Wu, M., Ostrander E.A., Fan J., Feng Z., Stnaford J.L. (2015). Epigenome-wide profiling of DNA methylation in paired prostate cancer versus adjacent benign tissue. Prostate. doi: 10.1002/pros.23093.
  18. Rubicz R., Zhao S.*, April C., Wright J.L., Kolb S., Coleman I., Lin D.W., Nelson P.S., Ostrander, E.A., Feng Z., Fan J., Stanford J.L. (2015). Expression of cell cycle-regulated genes and prostate cancer prognosis in a population-based cohort. Prostate, 75: 1354-1362 . (*co-first authors)
  19. Karyadi, D. M., Zhao S.*, He C., McIntosh, L., Wright, J.L., Ostrander, E.A., Feng, Z., Stanford J.L. (2015) Confirmation of Genetic Variants Associated with Lethal Prostate Cancer in a Cohort of Men from Hereditary Prostate Cancer Families. International Journal of Cancer, doi: 10.1002/ijc.29241. (*co-first authors) [Abstract]
  20. Zhao S., Prentice R.L. (2014). Covariate Measurement Error Correction Methods in Mediation Analysis with Failure Time Outcome. Biometrics, 70: 835-844. doi: 10.1111/biom.12205. 
    (An earlier version won the 2014 ASA biometrics section David P. Byar travel award.) [Abstract]
  21. Zhao S., Chlebowski R.T., Anderson G., Kuller L.H., Manson J.E., Gass M., Patterson R., Rohan T.E., Lane D.S., Beresford S.A.A, Lavasani, S., Rossouw, J.E., Prentice R.L. (2014). Sex Hormone Associations with Breast Cancer Risk and the Mediation of Randomized Trial Postmenopausal Hormone Therapy Effect. Breast Cancer Research. 16: R30. doi:10.1186/bcr3632. [Abstract]
  22. Stott-Miller, M., Zhao S.*, Wright, J.L., Bibikova, M., Klotzle, B., Fan, J., Ostrander, E.A., Feng, Z., and Stanford, J.L. (2014). Validation Study of Candidate Genes with Hypermethylated Promoter Regions Associated with Prostate Cancer Recurrence. Cancer Epidemiology, Biomarkers & Prevention, 23: 1331-1339. doi: 10.1158/1055-9965.EPI-13-1000. (*co-first authors) [Abstract]
  23. Prentice, R.L., Zhao S., Johnson, M., Aragaki, A., Hsia, J., Jackson, R.D., Rossouw, J.E., Manson, J.E., Hanash, S.M. (2013). Proteomic Risk Markers for Coronary Heart Disease and Stroke: Validation and Mediation of Postmenopausal Hormone Therapy Effects. Genome Medicine. 5: 112. doi:10.1186/gm517. [Abstract]
  24. Zhao, S., Cook, A.J., Jackson, L.A., and Nelson, J.C. (2012). Statistical Performance of Group Sequential Methods for Post-Licensure Medical Product Safety Surveillance: A Simulation Study. Statistics and Its Interface. 5: 381-390. doi: http://dx.doi.org/10.4310/SII.2012.v5.n4.a1.
  25. Prentice R.L., Zhao S. (2012) On the Use of Biomarkers to Elucidate Clinical Trial Results: Examples from the Women's Health Initiative. Proceedings of the Fourth Seattle Symposium in Biostatistics: Clinical Trials, Springer.
  26. Nelson J.C., Cook A.J., Yu O., Zhao S., Dominguez C., Fireman B., Greene S., Jacobsen S.J., Weintraub E., Jackson L.A. (2012) Challenges in the Design and Analysis of Sequentially-Monitored Post-Licensure Safety Surveillance Studies Using Observational Health Care Utilization Data. Pharmacoepidemiology and Drug Safety. 21 Suppl 1:62-71. [Abstract]
  27. Nelson J.C., Cook A.J., Yu O., Zhao S., Jackson L.A., Psaty B.M., Kulldorff  M. (2011) Methods for Observational Post-Licensure Medical Product Safety Surveillance. Statistical Methods in Medical Research. doi: 10.1177/0962280211413452. [Abstract]
  28. Nelson J.C., Bittner R.C., Bounds L., Zhao S., Baggs J., Donahue J.G., Hambidge S.J., Jacobsen S.J., Klein N.P., Naleway A.L., Zangwill K.M., Jackson L.A. (2009) Compliance with Multiple-Dose Vaccine Schedules Among Older Children, Adolescents, and Adults: Results From a Vaccine Safety Datalink Study. American Journal of Public Health, 99(S2): S389-S397. [Abstract]