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Silvia Pineda San Juan, PhD

TitlePostdoctoral Scholar
InstitutionUniversity of California San Francisco
DepartmentSurgery
Address550 16th. Street
San Francisco CA 94158
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    Collapse Biography 
    Collapse Education and Training
    Zaragoza University, SpainB.S.2006Statistics
    Madrid Complutense University, SpainM.S.2009Statistics
    Madrid Autónoma University, SpainM.S.2012Quantitative Methods in Epidemiology
    University of Liege, BelgiumPh.D.2015System and Modeling Unit
    National Cancer Research CentrePh.D.2015Genetic and Molecular Epidemiology
    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.


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    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. Pineda S, Sirota M. Determining Significance in the New Era for p-Values. J Pediatr Gastroenterol Nutr. 2018 Jul 26. PMID: 30052572.
      View in: PubMed
    2. Pineda S, Sigdel TK, Chen J, Jackson AM, Sirota M, Sarwal MM. Novel Non-Histocompatibility Antigen Mismatched Variants Improve the Ability to Predict Antibody-Mediated Rejection Risk in Kidney Transplant. Front Immunol. 2017; 8:1687. PMID: 29259604.
      View in: PubMed
    3. Pineda S, Van Steen K, Malats N. Integrative eQTL analysis of tumor and host omics data in individuals with bladder cancer. Genet Epidemiol. 2017 09; 41(6):567-573. PMID: 28643332.
      View in: PubMed
    4. López de Maturana E, Pineda S, Brand A, Van Steen K, Malats N. Toward the integration of Omics data in epidemiological studies: still a "long and winding road". Genet Epidemiol. 2016 11; 40(7):558-569. PMID: 27432111.
      View in: PubMed
    5. 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
    6. Mason-Lecomte A, Lopez de Maturana E, Pineda S, Rava M, Vordos D, Allory Y, Real F, Malats N. [Not Available]. Prog Urol. 2015 Nov; 25(13):758-9. PMID: 26544283.
      View in: PubMed
    7. 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
    8. 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.
      View in: PubMed, PubMed Central
    9. 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. 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.
      View in: PubMed
    10. 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 Apr 04; 14(2):R57. PMID: 22475046; PMCID: PMC3446392.
      View in: PubMed, PubMed Central
    11. 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
    12. 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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