Background The UK 100,000 Genomes Project is in the process of investigating the role of genome sequencing of patients with undiagnosed rare disease following usual care, and the alignment of research with healthcare implementation in the UK’s national health service. (Other parts of this Project focus on patients with cancer and infection.) Methods We enrolled participants, collected clinical features with human phenotype ontology terms, undertook genome sequencing and applied automated variant prioritization based on virtual gene panels (PanelApp) and phenotypes (Exomiser), alongside identification of novel pathogenic variants through research analysis. We report results on a pilot study of 4660 participants from 2183 families with 161 disorders covering a broad spectrum of rare disease. Results Diagnostic yields varied by family structure and were highest in trios and larger pedigrees. Likely monogenic disorders had much higher diagnostic yields (35%) with intellectual disability, hearing and vision disorders, achieving yields between 40 and 55%. Those with more complex etiologies had an overall 25% yield. Combining research and automated approaches was critical to 14% of diagnoses in which we found etiologic non-coding, structural and mitochondrial genome variants and coding variants poorly covered by exome sequencing. Cohort-wide burden testing across 57,000 genomes enabled discovery of 3 new disease genes and 19 novel associations. Of the genetic diagnoses that we made, 24% had immediate ramifications for the clinical decision-making for the patient or their relatives. Conclusion Our pilot study of genome sequencing in a national health care system demonstrates diagnostic uplift across a range of rare diseases. (Funded by National Institute for Health Research and others)
The outcome of pediatric ependymomas is difficult to predict based on clinical and histological parameters. To address this issue, we have performed a comparative genomic hybridization screen of 42 primary and 11 recurrent pediatric ependymomas and correlated the genetic findings with clinical outcome. Three distinct genetic patterns were identified in the primary tumors and confirmed by hierarchical cluster analysis. The first group of structural tumors, showed few, mainly partial imbalances (n ؍ 19). A second numerical group showed 13 or more chromosome imbalances with a nonrandom pattern of whole chromosome gains and losses (n ؍ 5). The remaining tumors (n ؍ 18) showed a balanced genetic profile that was significantly associated with a younger age at diagnosis (P < 0.0001), suggesting that ependymomas arising in infants are biologically distinct from those occurring in older children. Multivariate analysis showed that the structural group had a significantly worse outcome compared to tumors with a numerical (P ؍ 0.05) or balanced profile (P ؍ 0.02). Moreover genetic group and extent of surgical resection contributed significantly to outcome whereas histopathology, age, and other clinical parameters did not. We conclude that patterns of genetic imbalances in pediatric intracranial ependymomas may help to predict clinical outcome. Pediatric ependymomas are enigmatic tumors whose behavior is difficult to predict based on clinical and histological factors. These tumors are thought to derive from ependymal cells lining the ventricular system and fall into the broad group of gliomas.1 Ependymomas comprise ϳ10% of all childhood intracranial neoplasms and with Ͼ50% arising in children younger than 5 years of age present a distinct management challenge.2-4 In contrast to adults in which spinal tumors predominate, Ͼ90% of all pediatric ependymomas are intracranial in origin with most tumors arising infratentorially.2,3,5
Distal deletion of chromosome 3p25-pter (3p- syndrome) produces a distinct clinical syndrome characterized by low birth weight, mental retardation, telecanthus, ptosis, and micrognathia. Congenital heart disease (CHD), typically atrioventricular septal defect (AVSD) occurs in about a third of patients. Previously we reported on an association between the presence of CHD and the proximal extent of the deletion such that a CHD susceptibility gene was mapped between D3S1263 and D3S3594. In addition, we and others have suggested several candidate genes for the psychomotor retardation usually seen with constitutional 3p25 deletions. In order to further investigate genotype-phenotype correlations in 3p- syndrome we analyzed 14 patients with cytogenetically detectable deletions of 3p25 (including one patient with a normal phenotype) using Affymetrix 250K SNP microarrays. Deletion size varied from approximately 6 to 12 Mb. Assuming complete penetrance, a candidate critical region for a CHD susceptibility gene was refined to approximately 200 kb and a candidate critical region for mental retardation was mapped to an approximately 1 Mb interval containing SRGAP3 but other 3p neurodevelopmental genes including CHL1, CNTN4, LRRN1, and ITPR1 mapped outside the candidate critical interval. We suggest that current evidence suggests that SRGAP3 is the major determinant of mental retardation in distal 3p deletions.
BackgroundImmunolabeling of metaphase chromosome spreads can map components of the human epigenome at the single cell level. Previously, there has been no systematic attempt to explore the potential of this approach for epigenomic mapping and thereby to complement approaches based on chromatin immunoprecipitation (ChIP) and sequencing technologies.ResultsBy immunostaining and immunofluorescence microscopy, we have defined the distribution of selected histone modifications across metaphase chromosomes from normal human lymphoblastoid cells and constructed immunostained karyotypes. Histone modifications H3K9ac, H3K27ac and H3K4me3 are all located in the same set of sharply defined immunofluorescent bands, corresponding to 10- to 50-Mb genomic segments. Primary fibroblasts gave broadly the same banding pattern. Bands co-localize with regions relatively rich in genes and CpG islands. Staining intensity usually correlates with gene/CpG island content, but occasional exceptions suggest that other factors, such as transcription or SINE density, also contribute. H3K27me3, a mark associated with gene silencing, defines a set of bands that only occasionally overlap with gene-rich regions. Comparison of metaphase bands with histone modification levels across the interphase genome (ENCODE, ChIP-seq) shows a close correspondence for H3K4me3 and H3K27ac, but major differences for H3K27me3.ConclusionsAt metaphase the human genome is packaged as chromatin in which combinations of histone modifications distinguish distinct regions along the euchromatic chromosome arms. These regions reflect the high-level interphase distributions of some histone modifications, and may be involved in heritability of epigenetic states, but we also find evidence for extensive remodeling of the epigenome at mitosis.
3 -48 Full affiliations can be seen as electronic supplementIn a search for potential infertility loci, which might be revealed by clustering of chromosomal breakpoints, we compiled 464 infertile males with a balanced rearrangement from Mendelian Cytogenetics Network database (MCNdb) and compared their karyotypes with those of a Danish nation-wide cohort. We excluded Robertsonian translocations, rearrangements involving sex chromosomes and common variants. We identified 10 autosomal bands, five of which were on chromosome 1, with a large excess of breakpoints in the infertility group. Some of these could potentially harbour a male-specific infertility locus. However, a general excess of breakpoints almost everywhere on chromosome 1 was observed among the infertile males: 26.5 versus 14.5% in the cohort. This excess was observed both for translocation and inversion carriers, especially pericentric inversions, both for published and unpublished cases, and was significantly associated with azoospermia. The largest number of breakpoints was reported in 1q21; FISH mapping of four of these breakpoints revealed that they did not involve the same region at the molecular level. We suggest that chromosome 1 harbours a critical domain whose integrity is essential for male fertility.
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