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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | 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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