Functional and genomic context in pathway analysis of GWAS data

Highlights • Gene set analyses (GSAs) will extend the knowledge gained from GWAS. • There is no consensus about the best way to perform GSA. • The wide variety of analysis methods makes it difficult to compare GSA results. • Steps must be taken to improve the interpretability and comparability of GS...

Full description

Saved in:
Bibliographic Details
Published inTrends in genetics Vol. 30; no. 9; pp. 390 - 400
Main Authors Mooney, Michael A, Nigg, Joel T, McWeeney, Shannon K, Wilmot, Beth
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.09.2014
Subjects
complex traits
gene set analysis
Genetic Predisposition to Disease
Genome, Human
Genome-Wide Association Study
Genomics - methods
GWAS
Humans
Medical Education
polygenic effects
Polymorphism, Single Nucleotide - genetics
Signal Transduction
complex traits
GWAS
polygenic effects
gene set analysis
Online AccessGet full text

Cover

More Information
Summary:Highlights • Gene set analyses (GSAs) will extend the knowledge gained from GWAS. • There is no consensus about the best way to perform GSA. • The wide variety of analysis methods makes it difficult to compare GSA results. • Steps must be taken to improve the interpretability and comparability of GSA.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:0168-9525
DOI:10.1016/j.tig.2014.07.004