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      There Are No Lung Diseases…

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      proceedings-article
      1
      ScienceOpen
      RExPO22
      2-3 September, 2022
      COPD, Genome-wide Association Studies, Network Medicine, Multiple Omics
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            Abstract

            Although many diseases primarily affect the lungs, most of these diseases also involve other organ systems. Moreover, current diagnostic categories for complex lung diseases include heterogeneous syndromes rather than distinct pathobiological processes. Large-scale genome-wide association studies (GWAS) in many thousands of COPD cases and control subjects have identified more than 80 genomic regions that contain COPD susceptibility genes. Combining statistical fine mapping and open chromatin assays has enabled the identification of some of the functional variants within these GWAS loci. Although genetic association studies have provided important insights into many complex diseases, single genetic variants are unlikely to explain complex diseases, because perturbations of biological networks, not isolated genes, confer disease risk. Using protein-protein interaction network analysis, we have identified a biological connection between two COPD GWAS genes, FAM13A and TGFB2. Different Omics data types provide complementary information about complex diseases. When analyzed within a network context, multiple Omics data has the potential to provide new insights into the pathogenesis and heterogeneity of complex lung diseases.

            Content

            Author and article information

            Conference
            ScienceOpen
            17 August 2022
            Affiliations
            [1 ] Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA
            Article
            10.14293/S2199-rexpo22004.v1
            361d8db1-5cf4-4eb9-8b33-cbb6487b1960
            The Author

            Published under Creative Commons Attribution 4.0 International ( CC BY 4.0). Users are allowed to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), as long as the authors and the publisher are explicitly identified and properly acknowledged as the original source.

            RExPO22
            Maastricht, Netherlands
            2-3 September, 2022
            History

            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Network Medicine,COPD,Genome-wide Association Studies,Multiple Omics

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