Whole-Genome Sequencing of a Single Proband Together with Linkage Analysis Identifies a Mendelian Disease Gene

Although more than 2,400 genes have been shown to contain variants that cause Mendelian disease, there are still several thousand such diseases yet to be molecularly defined. The ability of new whole-genome sequencing technologies to rapidly indentify most of the genetic variants in any given genome opens an exciting opportunity to identify these disease genes. Here we sequenced the whole genome of a single patient with the dominant Mendelian disease, metachondromatosis (OMIM 156250), and used partial linkage data from her small family to focus our search for the responsible variant. In the proband, we identified an 11 bp deletion in exon four of PTPN11, which alters frame, results in premature translation termination, and co-segregates with the phenotype. In a second metachondromatosis family, we confirmed our result by identifying a nonsense mutation in exon 4 of PTPN11 that also co-segregates with the phenotype. Sequencing PTPN11 exon 4 in 469 controls showed no such protein truncating variants, supporting the pathogenicity of these two mutations. This combination of a new technology and a classical genetic approach provides a powerful strategy to discover the genes responsible for unexplained Mendelian disorders

Overlapping SETBP1 gain-of-function mutations in Schinzel-Giedion syndrome and hematologic malignancies

Schinzel-Giedion syndrome (SGS) is a rare developmental disorder characterized by multiple malformations, severe neurological alterations and increased risk of malignancy. SGS is caused by de novo germline mutations clustering to a 12bp hotspot in exon 4 of SETBP1. Mutations in this hotspot disrupt a degron, a signal for the regulation of protein degradation, and lead to the accumulation of SETBP1 protein. Overlapping SETBP1 hotspot mutations have been observed recurrently as somatic events in leukemia. We collected clinical information of 47 SGS patients (including 26 novel cases) with germline SETBP1 mutations and of four individuals with a milder phenotype caused by de novo germline mutations adjacent to the SETBP1 hotspot. Different mutations within and around the SETBP1 hotspot have varying effects on SETBP1 stability and protein levels in vitro and in in silico modeling. Substitutions in SETBP1 residue I871 result in a weak increase in protein levels and mutations affecting this residue are significantly more frequent in SGS than in leukemia. On the other hand, substitutions in residue D868 lead to the largest increase in protein levels. Individuals with germline mutations affecting D868 have enhanced cell proliferation in vitro and higher incidence of cancer compared to patients with other germline SETBP1 mutations. Our findings substantiate that, despite their overlap, somatic SETBP1 mutations driving malignancy are more disruptive to the degron than germline SETBP1 mutations causing SGS. Additionally, this suggests that the functional threshold for the development of cancer driven by the disruption of the SETBP1 degron is higher than for the alteration in prenatal development in SGS. Drawing on previous studies of somatic SETBP1 mutations in leukemia, our results reveal a genotype-phenotype correlation in germline SETBP1 mutations spanning a molecular, cellular and clinical phenotype

The Characterization of Twenty Sequenced Human Genomes

We present the analysis of twenty human genomes to evaluate the prospects for identifying rare functional variants that contribute to a phenotype of interest. We sequenced at high coverage ten “case” genomes from individuals with severe hemophilia A and ten “control” genomes. We summarize the number of genetic variants emerging from a study of this magnitude, and provide a proof of concept for the identification of rare and highly-penetrant functional variants by confirming that the cause of hemophilia A is easily recognizable in this data set. We also show that the number of novel single nucleotide variants (SNVs) discovered per genome seems to stabilize at about 144,000 new variants per genome, after the first 15 individuals have been sequenced. Finally, we find that, on average, each genome carries 165 homozygous protein-truncating or stop loss variants in genes representing a diverse set of pathways

Factors associated with health-related quality of life (HRQOL) in adults with short stature skeletal dysplasias

Introduction: Numerous factors associate with health disparities. The extent to which such factors influence health-related quality of life (HRQOL) among adults with short stature skeletal dysplasias (SD) is unknown. In an effort to update and clarify knowledge about the HRQOL of adults with SD, this study aimed to quantify HRQOL scores relative to the American average and assess whether specific indicators are associated with lower scores.Methods: Members (\u3e18 years) of Little People of America were invited to complete an online survey assessing HRQOL using the SF-12 supplemented with indicator-specific questions. SF-12 components (Physical Component Summary, PCS; Mental Component Summary, MCS) were compared to the standardized national American mean. Scores were divided at the median to identify factors associated with lower scores using multivariable logistic regression, adjusting for age, gender, race, education, and employment.Results: A total of 189 surveys were completed. Mean and median PCS and MCS were below the national mean of 50 (p \u3c 0.001). Advancing decade of age corresponded to a significant decline in PCS (p \u3c 0.001) but not MCS (p = 0.366). Pain prevalence was high (79.4%); however, only 5.9% visited a pain specialist. Significant factors for lower PCS included age \u3e40 years (p = 0.020), having spondyloepiphyseal dysplasia congenita (SED) or diastrophic dysplasia relative to achondroplasia (p = 0.023), pain (p \u3c 0.001), and partial versus full health insurance coverage (p = 0.034). For MCS, significant factors included a lack of social support (p = 0.002) and being treated differently/feeling stigmatized by health care providers (p = 0.022).Conclusions: Individuals with SD face documented disparities and report lower HRQOL. Further research and interventions are needed to modify nuanced factors influencing these results and address the high prevalence of pain

Characterization of complex chromosomal rearrangements by targeted capture and next-generation sequencing

Translocations are a common class of chromosomal aberrations and can cause disease by physically disrupting genes or altering their regulatory environment. Some translocations, apparently balanced at the microscopic level, include deletions, duplications, insertions, or inversions at the molecular level. Traditionally, chromosomal rearrangements have been investigated with a conventional banded karyotype followed by arduous positional cloning projects. More recently, molecular cytogenetic approaches using fluorescence in situ hybridization (FISH), array comparative genomic hybridization (aCGH), or whole-genome SNP genotyping together with molecular methods such as inverse PCR and quantitative PCR have allowed more precise evaluation of the breakpoints. These methods suffer, however, from being experimentally intensive and time-consuming and of less than single base pair resolution. Here we describe targeted breakpoint capture followed by next-generation sequencing (TBCS) as a new approach to the general problem of determining the precise structural characterization of translocation breakpoints and related chromosomal aberrations. We tested this approach in three patients with complex chromosomal translocations: The first had craniofacial abnormalities and an apparently balanced t(2;3)(p15;q12) translocation; the second has cleidocranial dysplasia (OMIM 119600) associated with a t(2;6)(q22;p12.3) translocation and a breakpoint in RUNX2 on chromosome 6p; and the third has acampomelic campomelic dysplasia (OMIM 114290) associated with a t(5;17)(q23.2;q24) translocation, with a breakpoint upstream of SOX9 on chromosome 17q. Preliminary studies indicated complex rearrangements in patients 1 and 3 with a total of 10 predicted breakpoints in the three patients. By using TBCS, we quickly and precisely defined eight of the 10 breakpoints