Genomic Triangulation and Coverage Analysis in Whole-Exome Sequencing-Based Molecular Autopsies.

BACKGROUND: WEMA (Whole-Exome Molecular Autopsy) and surveillance of cardiac channelopathy and cardiomyopathy genes represents the latest molecular autopsy for sudden death in the young (SDY). To date, the majority of WEMA has been performed on the SDY case only. METHODS AND RESULTS: We performed whole-exome sequencing and nucleotide-level coverage analysis on 28 SDY cases (18.4±7.8 years) and their parents to determine the inheritance patterns of ultrarare, nonsynonymous variants in 99 sudden death-susceptibility genes. Nonsynonymous variants were adjudicated using the American College of Medical Genetics guidelines. Overall, 17 sudden death-susceptibility gene variants were identified in 12 of 28 (43%) SDY cases. On the basis of the American College of Medical Genetics guidelines, 6 of 28 (21%) cases had a pathogenic or likely pathogenic nonsynonymous variant with 3 (50%) being de novo. Two nonsynonymous variants would not have been elevated to likely pathogenic status without knowing their de novo status. Whole-exome sequencing reached a read depth of 10× across 90% of nucleotides within sudden death-susceptibility genes in 100% of parental exomes from fresh blood draw, compared with only 82% of autopsy-sourced SDY exomes. CONCLUSIONS: An SDY-parent, trio-based WEMA may be an effective way of elucidating a monogenic cause of death and bringing clarity to otherwise ambiguous variants. If other studies confirm this relatively high rate of SDY cases stemming from de novo mutations, then the WEMA should become even more cost-effective given that the decedent's first-degree relatives should only need minimal cardiological evaluation. In addition, autopsy-sourced DNA demonstrated strikingly lower whole-exome sequencing coverage than DNA from fresh blood draw.

Dissecting the expression relationships between RNA-binding proteins and their cognate targets in eukaryotic post-transcriptional regulatory networks.

RNA-binding proteins (RBPs) are pivotal in orchestrating several steps in the metabolism of RNA in eukaryotes thereby controlling an extensive network of RBP-RNA interactions. Here, we employed CLIP (cross-linking immunoprecipitation)-seq datasets for 60 human RBPs and RIP-ChIP (RNP immunoprecipitation-microarray) data for 69 yeast RBPs to construct a network of genome-wide RBP- target RNA interactions for each RBP. We show in humans that majority (~78%) of the RBPs are strongly associated with their target transcripts at transcript level while ~95% of the studied RBPs were also found to be strongly associated with expression levels of target transcripts when protein expression levels of RBPs were employed. At transcript level, RBP - RNA interaction data for the yeast genome, exhibited a strong association for 63% of the RBPs, confirming the association to be conserved across large phylogenetic distances. Analysis to uncover the features contributing to these associations revealed the number of target transcripts and length of the selected protein-coding transcript of an RBP at the transcript level while intensity of the CLIP signal, number of RNA-Binding domains, location of the binding site on the transcript, to be significant at the protein level. Our analysis will contribute to improved modelling and prediction of post-transcriptional networks.