Molecular pathogenesis of congenital diaphragmatic hernia revealed by exome sequencing, developmental data, and bioinformatics.
Proc Natl Acad Sci U S A 2014 Aug 26; 111(34):12450-5.
Congenital diaphragmatic hernia (CDH) is a common and severe birth defect. Despite its clinical significance, the genetic and developmental pathways underlying this disorder are incompletely understood. In this study, we report a catalog of variants detected by a whole exome sequencing study on 275 individuals with CDH. Predicted pathogenic variants in genes previously identified in either humans or mice with diaphragm defects are enriched in our CDH cohort compared with 120 size-matched random gene sets. This enrichment was absent in control populations. Variants in these critical genes can be found in up to 30.9% of individuals with CDH. In addition, we filtered variants by using genes derived from regions of recurrent copy number variations in CDH, expression profiles of the developing diaphragm, protein interaction networks expanded from the known CDH-causing genes, and prioritized genes with ultrarare and highly disruptive variants, in 11.3% of CDH patients. These strategies have identified several high priority genes and developmental pathways that likely contribute to the CDH phenotype. These data are valuable for comparison of candidate genes generated from whole exome sequencing of other CDH cohorts or multiplex kindreds and provide ideal candidates for further functional studies. Furthermore, we propose that these genes and pathways will enhance our understanding of the heterogeneous molecular etiology of CDH. Proc Natl Acad Sci U S A 2014 Aug 26; 111(34):12450-5.
Longoni, Mauro; High, Frances A; Russell, Meaghan K; Kashani, Alireza; Tracy, Adam A; Coletti, Caroline M; Hila, Regis; Shamia, Ahmed; Wells, Julie; Ackerman, Kate G; Wilson, Jay M; Bult, Carol J.; Lee, Charles; Lage, Kasper; Pober, Barbara R; and Donahoe, Patricia K, "Molecular pathogenesis of congenital diaphragmatic hernia revealed by exome sequencing, developmental data, and bioinformatics." (2014). Faculty Research 2014. 149.