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Mining GWAS and eQTL data for CF lung disease modifiers by gene expression imputation
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-Tissu...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7703903/ https://ncbi.nlm.nih.gov/pubmed/33253230 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0239189 |
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