Exploring regulation in tissues with eQTL networks
Exploring regulation in tissues with eQTL networks
About this item
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Author / Creator
Publisher
United States: National Academy of Sciences
Journal title
Language
English
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Publication information
Publisher
United States: National Academy of Sciences
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More information
Scope and Contents
Contents
Characterizing the collective regulatory impact of genetic variants on complex phenotypes is a major challenge in developing a genotype to phenotype map. Using expression quantitative trait locus (eQTL) analyses, we constructed bipartite networks in which edges represent significant associations between genetic variants and gene expression levels a...
Alternative Titles
Full title
Exploring regulation in tissues with eQTL networks
Authors, Artists and Contributors
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5604022
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5604022
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.1707375114
