Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
About this item
Full title
Author / Creator
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Nature Publishing Group US
Subjects
More information
Scope and Contents
Contents
Jian Yang and colleagues propose a method that integrates summary data from GWAS and eQTL studies to identify genes whose expression levels are associated with complex traits because of pleiotropy. They apply the method to five human complex traits and prioritize 126 genes for future functional studies.
Genome-wide association studies (GWAS) hav...
Alternative Titles
Full title
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_1808741499
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1808741499
Other Identifiers
ISSN
1061-4036
E-ISSN
1546-1718
DOI
10.1038/ng.3538