RNAseq analysis of bronchial epithelial cells to identify COPD-associated genes and SNPs

Autor: Jiyoun Yeo, Diego A. Morales, Tian Chen, Erin L. Crawford, Xiaolu Zhang, Thomas M. Blomquist, Albert M. Levin, Pierre P. Massion, Douglas A. Arenberg, David E. Midthun, Peter J. Mazzone, Steven D. Nathan, Ronald J. Wainz, Patrick Nana-Sinkam, Paige F. S. Willey, Taylor J. Arend, Karanbir Padda, Shuhao Qiu, Alexei Federov, Dawn-Alita R. Hernandez, Jeffrey R. Hammersley, Youngsook Yoon, Fadi Safi, Sadik A. Khuder, James C. Willey
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: BMC Pulmonary Medicine, Vol 18, Iss 1, Pp 1-13 (2018)
Druh dokumentu: article
ISSN: 1471-2466
89243439
DOI: 10.1186/s12890-018-0603-y
Popis: Abstract Background There is a need for more powerful methods to identify low-effect SNPs that contribute to hereditary COPD pathogenesis. We hypothesized that SNPs contributing to COPD risk through cis-regulatory effects are enriched in genes comprised by bronchial epithelial cell (BEC) expression patterns associated with COPD. Methods To test this hypothesis, normal BEC specimens were obtained by bronchoscopy from 60 subjects: 30 subjects with COPD defined by spirometry (FEV1/FVC
Databáze: Directory of Open Access Journals
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