Mining GWAS and eQTL data for CF lung disease modifiers by gene expression imputation
Mining GWAS and eQTL data for CF lung disease modifiers by gene expression imputation
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
Genome wide association studies (GWAS) have identified several genomic loci with candidate modifiers of cystic fibrosis (CF) lung disease, but only a small proportion of the expected genetic contribution is accounted for at these loci. We leveraged expression data from CF cohorts, and Genotype-Tissue Expression (GTEx) reference data sets from multi...
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Full title
Mining GWAS and eQTL data for CF lung disease modifiers by gene expression imputation
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TN_cdi_plos_journals_2465724662
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2465724662
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0239189
