Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure

Christiaan A. de Leeuw; Sven Stringer; Ilona A. Dekkers; Tom Heskes; Danielle Posthuma

doi:10.1038/s41467-018-06022-6

Nature Communications (Sep 2018)

Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure

Christiaan A. de Leeuw,
Sven Stringer,
Ilona A. Dekkers,
Tom Heskes,
Danielle Posthuma

Affiliations

Christiaan A. de Leeuw: Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam
Sven Stringer: Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam
Ilona A. Dekkers: Department of Radiology, Leiden University Medical Center
Tom Heskes: Institute for Computing and Information Sciences, Radboud University Nijmegen
Danielle Posthuma: Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam

DOI: https://doi.org/10.1038/s41467-018-06022-6
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 13

Abstract

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Gene-set analysis (GSA) is widely used to infer functional and biological properties of a gene set. Here, the authors develop a conditional and interaction gene-set analysis approach that can considerably refine results from traditional GSA.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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