Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 73,584 bioRxiv papers from 320,262 authors.
Gene co-expression networks in whole blood implicate multiple interrelated molecular pathways in obese asthma
Damien C. Croteau-Chonka,
Kathleen C Barnes,
Juan C. Celedón,
W. James Gauderman,
Frank D. Gilliland,
Jerry A. Krishnan,
Andrew H. Liu,
Stephanie J. London,
Fernando D. Martinez,
Edward T. Naureckas,
Dan L Nicolae,
Steven R. White,
Scott T. Weiss,
Benjamin A. Raby
Posted 29 Aug 2017
bioRxiv DOI: 10.1101/181651 (published DOI: 10.1002/oby.22341)
Posted 29 Aug 2017
Background: Asthmatic children who develop obesity have poorer outcomes compared to those that do not, including poorer control, more severe symptoms, and greater resistance to standard treatment. Gene expression networks are powerful statistical tools for characterizing the underpinnings of human disease that leverage the putative co-regulatory relationships of genes to infer biological pathways altered in disease states. Objective: The aim of this study was to characterize the biology of childhood asthma complicated by adult obesity. Methods: We performed weighted gene co-expression network analysis (WGCNA) of gene expression data in whole blood from 514 adult subjects from the Childhood Asthma Management Program (CAMP). We then performed module preservation and association replication analyses in 418 subjects from two independent asthma cohorts (one pediatric and one adult). Results: We identified a multivariate model in which four gene co-expression network modules were associated with incident obesity in CAMP (each P < 0.05). The module memberships were enriched for genes in pathways related to platelets, integrins, extracellular matrix, smooth muscle, NF-κB signaling, and Hedgehog signaling. The network structures of each of the four obese asthma modules were significantly preserved in both replication cohorts (permutation P = 9.999E-05). The corresponding module gene sets were significantly enriched for differential expression in obese subjects in both replication cohorts (each P < 0.05). Conclusions: Our gene co-expression network profiles thus implicate multiple interrelated pathways in the biology of an important endotype of obese asthma.
- Downloaded 412 times
- Download rankings, all-time:
- Site-wide: 30,111 out of 73,584
- In genomics: 3,043 out of 4,882
- Year to date:
- Site-wide: 43,057 out of 73,584
- Since beginning of last month:
- Site-wide: 43,058 out of 73,584
Downloads over time
Distribution of downloads per paper, site-wide
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!