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Meta-Analysis in Gene Expression Studies

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Statistical Genomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1418))

Abstract

This chapter introduces methods to synthesize experimental results from independent high-throughput genomic experiments, with a focus on adaptation of traditional methods from systematic review of clinical trials and epidemiological studies. First, it reviews methods for identifying, acquiring, and preparing individual patient data for meta-analysis. It then reviews methodology for synthesizing results across studies and assessing heterogeneity, first through outlining of methods and then through a step-by-step case study in identifying genes associated with survival in high-grade serous ovarian cancer.

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Author information

Authors and Affiliations

  1. Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, 10035, USA

    Levi Waldron

  2. Novartis Institutes for BioMedical Research (NIBR), 250 Massachusetts Avenue, Cambridge, MA, 02139, USA

    Markus Riester

Authors
  1. Levi Waldron
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  2. Markus Riester
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Corresponding author

Correspondence to Markus Riester .

Editor information

Editors and Affiliations

  1. Ohio State University, Biomed Informatics, College of Medicine, Columbus, Ohio, USA

    Ewy Mathé

  2. National Cancer Institute, National Institutes of Health, Columbia, Maryland, USA

    Sean Davis

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Waldron, L., Riester, M. (2016). Meta-Analysis in Gene Expression Studies. In: Mathé, E., Davis, S. (eds) Statistical Genomics. Methods in Molecular Biology, vol 1418. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3578-9_8

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  • DOI: https://doi.org/10.1007/978-1-4939-3578-9_8

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3576-5

  • Online ISBN: 978-1-4939-3578-9

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