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Silvia Pineda San Juan, PhD

Title(s)Postdoctoral Scholar, Computational Health Scienc
SchoolSchool of Medicine
AddressLocation Required
Varies CA 00000
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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. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Characterizing pre-transplant and post-transplant kidney rejection risk by B cell immune repertoire sequencing. Nat Commun. 2019 04 23; 10(1):1906. Pineda S, Sigdel TK, Liberto JM, Vincenti F, Sirota M, Sarwal MM. PMID: 31015506.
      View in: PubMed   Mentions:    Fields:    Translation:HumansCells
    2. Challenges in the Integration of Omics and Non-Omics Data. Genes (Basel). 2019 03 20; 10(3). López de Maturana E, Alonso L, Alarcón P, Martín-Antoniano IA, Pineda S, Piorno L, Calle ML, Malats N. PMID: 30897838.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    3. Determining Significance in the New Era for P Values. J Pediatr Gastroenterol Nutr. 2018 11; 67(5):547-548. Pineda S, Sirota M. PMID: 30052572.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    4. Corrigendum: Novel Non-Histocompatibility Antigen Mismatched Variants Improve the Ability to Predict Antibody-Mediated Rejection Risk in Kidney Transplant. Front Immunol. 2018; 9:107. Pineda S, Sigdel TK, Chen J, Jackson AM, Sirota M, Sarwal MM. PMID: 29406538.
      View in: PubMed   Mentions:    Fields:    
    5. Novel Non-Histocompatibility Antigen Mismatched Variants Improve the Ability to Predict Antibody-Mediated Rejection Risk in Kidney Transplant. Front Immunol. 2017; 8:1687. Pineda S, Sigdel TK, Chen J, Jackson AM, Sirota M, Sarwal MM. PMID: 29259604.
      View in: PubMed   Mentions: 2     Fields:    
    6. Integrative eQTL analysis of tumor and host omics data in individuals with bladder cancer. Genet Epidemiol. 2017 09; 41(6):567-573. Pineda S, Van Steen K, Malats N. PMID: 28643332.
      View in: PubMed   Mentions:    Fields:    Translation:HumansCells
    7. Toward the integration of Omics data in epidemiological studies: still a "long and winding road". Genet Epidemiol. 2016 11; 40(7):558-569. López de Maturana E, Pineda S, Brand A, Van Steen K, Malats N. PMID: 27432111.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    8. Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer. PLoS Genet. 2015 Dec; 11(12):e1005689. Pineda S, Real FX, Kogevinas M, Carrato A, Chanock SJ, Malats N, Van Steen K. PMID: 26646822.
      View in: PubMed   Mentions: 10     Fields:    Translation:HumansCells
    9. [Not Available]. Prog Urol. 2015 Nov; 25(13):758-9. Mason-Lecomte A, Lopez de Maturana E, Pineda S, Rava M, Vordos D, Allory Y, Real F, Malats N. PMID: 26544283.
      View in: PubMed   Mentions:    Fields:    
    10. Framework for the Integration of Genomics, Epigenomics and Transcriptomics in Complex Diseases. Hum Hered. 2015; 79(3-4):124-36. Pineda S, Gomez-Rubio P, Picornell A, Bessonov K, Márquez M, Kogevinas M, Real FX, Van Steen K, Malats N. PMID: 26201698.
      View in: PubMed   Mentions: 7     Fields:    Translation:HumansCells
    11. Genetic variation in the TP53 pathway and bladder cancer risk. a comprehensive analysis. PLoS One. 2014; 9(5):e89952. 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. PMID: 24818791.
      View in: PubMed   Mentions: 5     Fields:    Translation:Humans
    12. FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium. Br J Cancer. 2014 Feb 18; 110(4):1088-100. 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. PMID: 24548884.
      View in: PubMed   Mentions: 10     Fields:    Translation:Humans
    13. 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. Lundgren K, Brown M, Pineda S, Cuzick J, Salter J, Zabaglo L, Howell A, Dowsett M, Landberg G. PMID: 22475046.
      View in: PubMed   Mentions: 29     Fields:    Translation:Humans
    14. 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. 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. PMID: 21990413.
      View in: PubMed   Mentions: 161     Fields:    Translation:Humans
    15. Predictive algorithms for adjuvant therapy: TransATAC. Steroids. 2011 Jul; 76(8):777-80. Dowsett M, Salter J, Zabaglo L, Mallon E, Howell A, Buzdar AU, Forbes J, Pineda S, Cuzick J. PMID: 21470560.
      View in: PubMed   Mentions: 7     Fields:    Translation:Humans
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