Why the study?
Large-scale omics datasets have not been leveraged and integrated with functional analyses to discover potential drivers of cardiomyopathy.
Integrative omics analysis identifies ECHS1 variants and expression changes as potential drivers and biomarkers for drug refractory dilated cardiomyopathy.
Large-scale “omics” datasets have not been leveraged and integrated with functional analyses to discover potential drivers of cardiomyopathy. This study addresses the knowledge gap. We coupled RNA sequence (RNA-Seq) variant detection and transcriptome profiling with pathway analysis to model drug refractory dilated cardiomyopathy (drDCM) using the BaseSpace sequencing hub and Ingenuity Pathway Analysis. We used RNA-Seq case-control datasets ( n = 6 cases, n = 4 controls), exome sequence familial DCM datasets ( n = 3 Italians, n = 5 Italians, n = 5 Chinese), and controls from the HapMap project (n = 5 Caucasians, and n = 5 Asians) for disease modeling and putative mutation discovery. Variant replication datasets: n = 128 cases and n = 15 controls. Source of datasets: NCBI Sequence Read Archive. Statistics: Pairwise differential expression analyses to determine differentially expressed genes and t-tests to calculate p -values. We adjusted for false discovery rates and reported q-values. We used chi-square tests to assess independence among variables, the Fisher’s Exact Tests and overlap p-values for the pathways and p-scores to rank network. Data revealed that ECHS1(enoyl-CoA hydratase, short chain 1(log 2 (foldchange) = 1.63329) hosts a mirtron, MIR3944 expressed in drDCM (FPKM = 5.2857) and not in controls (FPKM = 0). Has-miR3944-3p is a putative target of BAG1 (BCL2 associated athanogene 1(log 2 (foldchange) = 1.31978) and has-miR3944-5p of ITGAV (integrin subunit alpha V(log 2 (foldchange) = 1.46107) and RHOD (ras homolog family member D(log 2 (foldchange) = 1.28851). There is an association between ECHS1 :11 V/A(rs10466126) and drDCM ( p = 0.02496). The interaction ( p = 2.82E-07) between ECHS1 :75 T/I(rs1049951) and ECHS1 :rs10466126 is associated with drDCM ( p < 2.2e-16). ECHS1 :rs10466126 and ECHS1 :rs1049951 are in linkage disequilibrium (D’ = 1). The interaction ( p = 7.84E-08) between ECHS1 :rs1049951 and the novel ECHS1 :c.41insT variant is associated with drDCM (p < 2.2e-16). The interaction ( p = 0.001096) between DBT (Dihydrolipoamide branched chain transacylase E2):384G/S(rs12021720) and ECHS1 :rs10466126 is associated with drDCM (p < 2.2e-16). At the mRNA level, there is an association between ECHS1 (log 2 (foldchange) = 1.63329; q = 0.013927) and DBT (log 2 (foldchange) = 0.955072; q = 0.0368792) with drDCM. ECHS1 is involved in valine (−log ( p = 3.39E00)), isoleucine degradation ( p = 0.00457), fatty acid β-oxidation (−log(p) = 2.83E00), and drug metabolism:cytochrome P450 (z-score = 2.07985196) pathways. The mitochondria (−log(p) = 8.73E00), oxidative phosphorylation (−log(p) = 5.35E00) and TCA-cycle II (−log(p) = 2.70E00) are dysfunctional. We introduce an integrative data strategy that considers the interplay between the DNA, mRNA, and associated pathways, which represents a possible diagnostic, prognostic, biomarker, and personalized treatment discovery approach in genomically heterogeneous diseases.
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Campbell et al. (2018) studied this question.
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