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

Overview of attention for article published in BMC Pulmonary Medicine, March 2018
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
RNAseq analysis of bronchial epithelial cells to identify COPD-associated genes and SNPs
Published in
BMC Pulmonary Medicine, March 2018
DOI 10.1186/s12890-018-0603-y
Pubmed ID
Authors

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

Abstract

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. To test this hypothesis, normal BEC specimens were obtained by bronchoscopy from 60 subjects: 30 subjects with COPD defined by spirometry (FEV1/FVC < 0.7, FEV1% < 80%), and 30 non-COPD controls. Targeted next generation sequencing was used to measure total and allele-specific expression of 35 genes in genome maintenance (GM) genes pathways linked to COPD pathogenesis, including seven TP53 and CEBP transcription factor family members. Shrinkage linear discriminant analysis (SLDA) was used to identify COPD-classification models. COPD GWAS were queried for putative cis-regulatory SNPs in the targeted genes. On a network basis, TP53 and CEBP transcription factor pathway gene pair network connections, including key DNA repair gene ERCC5, were significantly different in COPD subjects (e.g., Wilcoxon rank sum test for closeness, p-value = 5.0E-11). ERCC5 SNP rs4150275 association with chronic bronchitis was identified in a set of Lung Health Study (LHS) COPD GWAS SNPs restricted to those in putative regulatory regions within the targeted genes, and this association was validated in the COPDgene non-hispanic white (NHW) GWAS. ERCC5 SNP rs4150275 is linked (D' = 1) to ERCC5 SNP rs17655 which displayed differential allelic expression (DAE) in BEC and is an expression quantitative trait locus (eQTL) in lung tissue (p = 3.2E-7). SNPs in linkage (D' = 1) with rs17655 were predicted to alter miRNA binding (rs873601). A classifier model that comprised gene features CAT, CEBPG, GPX1, KEAP1, TP73, and XPA had pooled 10-fold cross-validation receiver operator characteristic area under the curve of 75.4% (95% CI: 66.3%-89.3%). The prevalence of DAE was higher than expected (p = 0.0023) in the classifier genes. GM genes comprised by COPD-associated BEC expression patterns were enriched for SNPs with cis-regulatory function, including a putative cis-rSNP in ERCC5 that was associated with COPD risk. These findings support additional total and allele-specific expression analysis of gene pathways with high prior likelihood for involvement in COPD pathogenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Researcher 5 10%
Student > Doctoral Student 5 10%
Student > Bachelor 5 10%
Student > Postgraduate 4 8%
Other 10 20%
Unknown 14 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 25%
Nursing and Health Professions 7 14%
Medicine and Dentistry 5 10%
Agricultural and Biological Sciences 4 8%
Immunology and Microbiology 2 4%
Other 4 8%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 March 2018.
All research outputs
#7,665,725
of 23,337,345 outputs
Outputs from BMC Pulmonary Medicine
#618
of 1,977 outputs
Outputs of similar age
#133,569
of 332,810 outputs
Outputs of similar age from BMC Pulmonary Medicine
#14
of 50 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,977 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,810 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.