Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. A Brigham and Women's Hospital led genetic association study, involving over 60 thousand patients, have found 4 novel genes that are likely involved in causing this disease: EEFSEC, DSP, MTCL1 and SFTPD. As this is a statistical study, the manner in which these genes interact within the COPD disease mechanism is still unknown and requires further investigation.
This recent discovery is further supported by the Euretos Knowledge Platform as all the four genes have a very high association score with COPD. Such high scores point to a strong likelihood that there are biologically relevant interactions.
figure 1 - Association score of genes with COPD
Using the Euretos Analytics application 86 genetic, proteomic and metabolic interactions related to COPD are found for the highest ranking gene, DSP:
figure 2 - Interconnecting genes, proteins and metabolites DSP-COPD
Of these 86 multi-omics interactions between DSP and COPD, 6 are genetic and 12 proteomic, providing key candidates for additional research:
figure 3 - Strong genetic and proteomic interactions between COPD and DSP
One key area to explore would be the pathways and molecular functions that may play a role in these genetic and proteomic interactions. A number of molecular processes are found which involve at least 8 of the genes or proteins shown in figure 3. Especially interesting are those pathways which are also mentioned together with COPD in literature: Map kinase activity, mmp-9 activity, dna fragmentation, plasminogen activator activity, caspase-3 activity, map kinase kinase activity, cytokine biosynthesis and caspase activation. Especially these pathways warrant further detailed investigation:
figure 4 - Number of publications mentioning DSP related pathways and COPD
All details of these analyses are available on request. For further enquiries contact us on the home page.
About this series - The purpose of the Euretos Research Note series is to provide a data analytics perspective on recent life sciences publications. The series focuses on two types of questions: (1) did the available data already point in the direction of a discovery? (2) What further research angles does the available data suggest?