Exome sequencing in multiplex families with left-sided cardiac defects has high yield for disease gene discovery.

Congenital heart disease (CHD) is a common group of birth defects with a strong genetic contribution to their etiology, but historically the diagnostic yield from exome studies of isolated CHD has been low. Pleiotropy, variable expressivity, and the difficulty of accurately phenotyping newborns contribute to this problem. We hypothesized that performing exome sequencing on selected individuals in families with multiple members affected by left-sided CHD, then filtering variants by population frequency, in silico predictive algorithms, and phenotypic annotations from publicly available databases would increase this yield and generate a list of candidate disease-causing variants that would show a high validation rate. In eight of the nineteen families in our study (42%), we established a well-known gene/phenotype link for a candidate variant or performed confirmation of a candidate variant's effect on protein function, including variants in genes not previously described or firmly established as disease genes in the body of CHD literature: BMP10, CASZ1, ROCK1 and SMYD1. Two plausible variants in different genes were found to segregate in the same family in two instances suggesting oligogenic inheritance. These results highlight the need for functional validation and demonstrate that in the era of next-generation sequencing, multiplex families with isolated CHD can still bring high yield to the discovery of novel disease genes.

Somatic PIK3R1 variation as a cause of vascular malformations and overgrowth.

PURPOSE: Somatic activating variants in the PI3K-AKT pathway cause vascular malformations with and without overgrowth. We previously reported an individual with capillary and lymphatic malformation harboring a pathogenic somatic variant in PIK3R1, which encodes three PI3K complex regulatory subunits. Here, we investigate PIK3R1 in a large cohort with vascular anomalies and identify an additional 16 individuals with somatic mosaic variants in PIK3R1. METHODS: Affected tissue from individuals with vascular lesions and overgrowth recruited from a multisite collaborative network was studied. Next-generation sequencing targeting coding regions of cell-signaling and cancer-associated genes was performed followed by assessment of variant pathogenicity. RESULTS: The phenotypic and variant spectrum associated with somatic variation in PIK3R1 is reported herein. Variants occurred in the inter-SH2 or N-terminal SH2 domains of all three PIK3R1 protein products. Phenotypic features overlapped those of the PIK3CA-related overgrowth spectrum (PROS). These overlapping features included mixed vascular malformations, sandal toe gap deformity with macrodactyly, lymphatic malformations, venous ectasias, and overgrowth of soft tissue or bone. CONCLUSION: Somatic PIK3R1 variants sharing attributes with cancer-associated variants cause complex vascular malformations and overgrowth. The PIK3R1-associated phenotypic spectrum overlaps with PROS. These data extend understanding of the diverse phenotypic spectrum attributable to genetic variation in the PI3K-AKT pathway.

Disease-associated mosaic variation in clinical exome sequencing: a two-year pediatric tertiary care experience.

Exome sequencing (ES) has become an important tool in pediatric genomic medicine, improving identification of disease-associated variation due to assay breadth. Depth is also afforded by ES, enabling detection of lower-frequency mosaic variation compared to Sanger sequencing in the studied tissue, thus enhancing diagnostic yield. Within a pediatric tertiary-care hospital, we report two years of clinical ES data from probands evaluated for genetic disease to assess diagnostic yield, characteristics of causal variants, and prevalence of mosaicism among disease-causing variants. Exome-derived, phenotype-driven variant data from 357 probands was analyzed concurrent with parental ES data, when available. Blood was the source of nucleic acid. Sequence read alignments were manually reviewed for all assessed variants. Sanger sequencing was used for suspected de novo or mosaic variation. Clinical provider notes were reviewed to determine concordance between laboratory-reported data and the ordering provider's interpretation of variant-associated disease causality. Laboratory-derived diagnostic yield and provider-substantiated diagnoses had 91.4% concordance. The cohort returned 117 provider-substantiated diagnoses among 115 probands for a diagnostic yield of 32.2%. De novo variants represented 64.9% of disease-associated variation within trio analyses. Among the 115 probands, five harbored disease-associated somatic mosaic variation. Two additional probands were observed to inherit a disease-associated variant from an unaffected mosaic parent. Among inheritance patterns, de novo variation was the most frequent disease etiology. Somatic mosaicism is increasingly recognized as a significant contributor to genetic disease, particularly with increased sequence depth attainable from ES. This report highlights the potential and importance of detecting mosaicism in ES.

Churchill: an ultra-fast, deterministic, highly scalable and balanced parallelization strategy for the discovery of human genetic variation in clinical and population-scale genomics.

While advances in genome sequencing technology make population-scale genomics a possibility, current approaches for analysis of these data rely upon parallelization strategies that have limited scalability, complex implementation and lack reproducibility. Churchill, a balanced regional parallelization strategy, overcomes these challenges, fully automating the multiple steps required to go from raw sequencing reads to variant discovery. Through implementation of novel deterministic parallelization techniques, Churchill allows computationally efficient analysis of a high-depth whole genome sample in less than two hours. The method is highly scalable, enabling full analysis of the 1000 Genomes raw sequence dataset in a week using cloud resources. http://churchill.nchri.org/.