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

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

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.

Bibliographic Details
Main Authors: Christiaan A. de Leeuw, Sven Stringer, Ilona A. Dekkers, Tom Heskes, Danielle Posthuma
Format: Article
Language:English
Published: Nature Publishing Group 2018-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-06022-6
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spelling doaj-241c1127ce014dceaa058d324b4c6adf2021-05-11T09:29:33ZengNature Publishing GroupNature Communications2041-17232018-09-019111310.1038/s41467-018-06022-6Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressureChristiaan A. de Leeuw0Sven Stringer1Ilona A. Dekkers2Tom Heskes3Danielle Posthuma4Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University AmsterdamDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University AmsterdamDepartment of Radiology, Leiden University Medical CenterInstitute for Computing and Information Sciences, Radboud University NijmegenDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University AmsterdamGene-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.https://doi.org/10.1038/s41467-018-06022-6
collection DOAJ
language English
format Article
sources DOAJ
author Christiaan A. de Leeuw
Sven Stringer
Ilona A. Dekkers
Tom Heskes
Danielle Posthuma
spellingShingle Christiaan A. de Leeuw
Sven Stringer
Ilona A. Dekkers
Tom Heskes
Danielle Posthuma
Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure
Nature Communications
author_facet Christiaan A. de Leeuw
Sven Stringer
Ilona A. Dekkers
Tom Heskes
Danielle Posthuma
author_sort Christiaan A. de Leeuw
title Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure
title_short Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure
title_full Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure
title_fullStr Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure
title_full_unstemmed Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure
title_sort conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2018-09-01
description 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.
url https://doi.org/10.1038/s41467-018-06022-6
work_keys_str_mv AT christiaanadeleeuw conditionalandinteractiongenesetanalysisrevealsnovelfunctionalpathwaysforbloodpressure
AT svenstringer conditionalandinteractiongenesetanalysisrevealsnovelfunctionalpathwaysforbloodpressure
AT ilonaadekkers conditionalandinteractiongenesetanalysisrevealsnovelfunctionalpathwaysforbloodpressure
AT tomheskes conditionalandinteractiongenesetanalysisrevealsnovelfunctionalpathwaysforbloodpressure
AT danielleposthuma conditionalandinteractiongenesetanalysisrevealsnovelfunctionalpathwaysforbloodpressure
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