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Research Article

A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies

  • Oliver Stegle equal contributor mail,

    equal contributor Contributed equally to this work with: Oliver Stegle, Leopold Parts

    oliver.stegle@tuebingen.mpg.de (OS); jwinn@microsoft.com (JW)

    Affiliations: Max Planck Institutes Tübingen, Tübingen, Germany, University of Cambridge, Cambridge, United Kingdom

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  • Leopold Parts equal contributor,

    equal contributor Contributed equally to this work with: Oliver Stegle, Leopold Parts

    Affiliation: Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom

    X
  • Richard Durbin,

    Affiliation: Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom

    X
  • John Winn mail

    oliver.stegle@tuebingen.mpg.de (OS); jwinn@microsoft.com (JW)

    Affiliation: Microsoft Research, Cambridge, United Kingdom

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  • Published: May 06, 2010
  • DOI: 10.1371/journal.pcbi.1000770

About the Authors

Oliver Stegle
Max Planck Institutes Tübingen, Tübingen, Germany
Oliver Stegle
University of Cambridge, Cambridge, United Kingdom
Leopold Parts, Richard Durbin
Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom
John Winn
Microsoft Research, Cambridge, United Kingdom

Corresponding Authors

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: OS LP RD JW. Performed the experiments: OS LP. Analyzed the data: OS LP. Wrote the paper: OS LP RD JW. Developed methodology: OS LP RD JW.