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    Silvia Pineda San Juan, PhD

    TitlePostdoctoral Scholar
    SchoolUCSF School of Medicine
    DepartmentSurgery
    Address401 Parnassus Ave, LangPorter
    San Francisco CA 94143
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      Collapse Biography 
      Collapse Education and Training
      Zaragoza University, SpainB.S.Statistics2006
      Madrid Complutense University, SpainM.S.Statistics2009
      Madrid Autónoma University, SpainM.S.Quantitative Methods in Epidemiology2012
      University of Liege, BelgiumPh.D.System and Modeling Unit2015
      National Cancer Research CentrePh.D.Genetic and Molecular Epidemiology2015
      Collapse Awards and Honors
      Ministry of Education and Science, Spain2006Statistics Degree National Award
      Zaragoza University, Spain2006Extraordinary Award for Statistics Degree

      Collapse Overview 
      Collapse Overview
      Silvia is currently a Post Doctoral fellow between the Sirota lab (Computational Health Science at UCSF) and Sarwal lab (Department of Surgery at UCSF) working on omics integration for organ transplantation. She completed her PhD in Statistical Genetics at the Spanish National Cancer Research Centre jointly with the University of Liege. Her work focused on the development and application of advanced statistical methods for the integration of omics data. Her research interest is based on the development of advanced statistical approaches to integrate omics and clinical/epidemiological data to better understand complex diseases. Now, she is working with Next Generation Sequencing data to improve rejection in kidney transplantation.


      Collapse ORNG Applications 
      Collapse Featured Publications

      Collapse Bibliographic 
      Collapse Publications
      Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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      1. López de Maturana E, Pineda S, Brand A, Van Steen K, Malats N, et al. Toward the integration of Omics data in epidemiological studies: still a "long and winding road". Genet Epidemiol. 2016 Jul 18. PMID: 27432111.
        View in: PubMed
      2. Pineda S, Real FX, Kogevinas M, Carrato A, Chanock SJ, Malats N, Van Steen K. Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer. PLoS Genet. 2015 Dec; 11(12):e1005689. PMID: 26646822.
        View in: PubMed
      3. Mason-Lecomte A, Lopez de Maturana E, Pineda S, Rava M, Vordos D, Allory Y, Real F, Malats N. [In Process Citation]. Prog Urol. 2015 Nov; 25(13):758-9. PMID: 26544283.
        View in: PubMed
      4. Pineda S, Gomez-Rubio P, Picornell A, Bessonov K, Márquez M, Kogevinas M, Real FX, Van Steen K, Malats N. Framework for the Integration of Genomics, Epigenomics and Transcriptomics in Complex Diseases. Hum Hered. 2015; 79(3-4):124-36. PMID: 26201698.
        View in: PubMed
      5. Pineda S, Milne RL, Calle ML, Rothman N, López de Maturana E, Herranz J, Kogevinas M, Chanock SJ, Tardón A, Márquez M, Guey LT, García-Closas M, Lloreta J, Baum E, González-Neira A, Carrato A, Navarro A, Silverman DT, Real FX, Malats N. Genetic variation in the TP53 pathway and bladder cancer risk. a comprehensive analysis. PLoS One. 2014; 9(5):e89952. PMID: 24818791; PMCID: PMC4018346.
      6. Agarwal D, Pineda S, Michailidou K, Herranz J, Pita G, Moreno LT, Alonso MR, Dennis J, Wang Q, Bolla MK, Meyer KB, Menéndez-Rodríguez P, Hardisson D, Mendiola M, González-Neira A, Lindblom A, Margolin S, Swerdlow A, Ashworth A, Orr N, Jones M, Matsuo K, Ito H, Iwata H, Kondo N, Hartman M, Hui M, Lim WY, Iau PT, Sawyer E, Tomlinson I, Kerin M, Miller N, Kang D, Choi J-, Park SK, Noh D-, Hopper JL, Schmidt DF, Makalic E, Southey MC, Teo SH, Yip CH, Sivanandan K, Tay W-, Brauch H, Brüning T, Hamann U, Dunning AM, Shah M, Andrulis IL, Knight JA, Glendon G, Tchatchou S, Schmidt MK, Broeks A, Rosenberg EH, van't Veer LJ, Fasching PA, Renner SP, Ekici AB, Beckmann MW, Shen C-, Hsiung C-, Yu J-, Hou M-, Blot W, Cai Q, Wu AH, Tseng C-, Van Den Berg D, Stram DO, Cox A, Brock IW, Reed MW, Muir K, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Zheng W, Deming-Halverson S, Shrubsole MJ, Long J, Shu X-, Lu W, Gao Y-, Zhang B, Radice P, Peterlongo P, Manoukian S, Mariette F, Sangrajrang S, McKay J, Couch FJ, Toland AE, Yannoukakos D, Fletcher O, Johnson N, dos Santos Silva I, Peto J, Marme F, Burwinkel B, Guénel P, Truong T, Sanchez M, Mulot C, Bojesen SE, Nordestgaard BG, Flyer H, Brenner H, Dieffenbach AK, Arndt V, Stegmaier C, Mannermaa A, Kataja V, Kosma V-, Hartikainen JM, Lambrechts D, Yesilyurt BT, Floris G, Leunen K, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Wang X, Olson JE, Vachon C, Purrington K, Giles GG, Severi G, Baglietto L, Haiman CA, Henderson BE, Schumacher F, Marchand LL, Simard J, Dumont M, Goldberg MS, Labréche F, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Devilee P, Tollenaar RA, Seynaeve C, García-Closas M, Chanock SJ, Lissowska J, Figueroa JD, Czene K, Eriksson M, Humphreys K, Darabi H, Hooning MJ, Kriege M, Collée JM, Tilanus-Linthorst M, Li J, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Bogdanova N, Dörk T, Hall P, Chenevix-Trench G, Easton DF, Pharroah PD, Arias-Perez JI, Zamora P, Benítez J, Milne RL. FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium. Br J Cancer. 2014 Feb 18; 110(4):1088-100. PMID: 24548884; PMCID: PMC3929867.
      7. Lundgren K, Brown M, Pineda S, Cuzick J, Salter J, Zabaglo L, Howell A, Dowsett M, Landberg G. Effects of cyclin D1 gene amplification and protein expression on time to recurrence in postmenopausal breast cancer patients treated with anastrozole or tamoxifen: a TransATAC study. Breast Cancer Res. 2012; 14(2):R57. PMID: 22475046; PMCID: PMC3446392.
      8. Cuzick J, Dowsett M, Pineda S, Wale C, Salter J, Quinn E, Zabaglo L, Mallon E, Green AR, Ellis IO, Howell A, Buzdar AU, Forbes JF. Prognostic value of a combined estrogen receptor, progesterone receptor, Ki-67, and human epidermal growth factor receptor 2 immunohistochemical score and comparison with the Genomic Health recurrence score in early breast cancer. J Clin Oncol. 2011 Nov 10; 29(32):4273-8. PMID: 21990413.
        View in: PubMed
      9. Dowsett M, Salter J, Zabaglo L, Mallon E, Howell A, Buzdar AU, Forbes J, Pineda S, Cuzick J. Predictive algorithms for adjuvant therapy: TransATAC. Steroids. 2011 Jul; 76(8):777-80. PMID: 21470560.
        View in: PubMed
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