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Genomics and Polycystic Ovary Syndrome (PCOS): The Use of Microarray Analysis to Identify New Candidate Genes

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Genomics in Endocrinology

Part of the book series: Contemporary Endocrinology ((COE))

Abstract

Transcriptome profiling offers a potentially valuable approach to the identification of candidate genes and pathways that contribute to complex diseases. Here we describe the application of microarray analysis of human theca cells and ovaries to the understanding of the pathophysiology of polycystic ovary syndrome (PCOS), a complex reproductive endocrine and metabolic disorder, and the investigation of selected candidate genes derived from these analyses with respect to association and linkage to PCOS.

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Authors
  1. Jennifer R. Wood PhD
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  2. Jerome F. Strauss III MD, PhD
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Editors and Affiliations

  1. Cincinnati Children’s Hospital Medical Center (CCHMC), University of Cincinnati College of Medicine, 3333 Burnett Avenue, Cincinnati, OH 45229, USA

    Stuart Handwerger MD

  2. University of Cincinnati College of Medicine, Cincinnati, OH, USA

    Bruce Aronow PhD

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© 2008 Humana Press

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Wood, J.R., Strauss, J.F. (2008). Genomics and Polycystic Ovary Syndrome (PCOS): The Use of Microarray Analysis to Identify New Candidate Genes. In: Handwerger, S., Aronow, B. (eds) Genomics in Endocrinology. Contemporary Endocrinology. Humana Press. https://doi.org/10.1007/978-1-59745-309-7_12

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  • DOI: https://doi.org/10.1007/978-1-59745-309-7_12

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  • Online ISBN: 978-1-59745-309-7

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