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      Variant in the X-chromosome spliceosomal gene GPKOW causes male-lethal microcephaly with intrauterine growth restriction

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          Abstract

          Congenital microcephaly, with or without additional developmental defects, is a heterogeneous disorder resulting from impaired brain development during early fetal life. The majority of causative genetic variants identified thus far are inherited in an autosomal recessive manner and impact key cellular pathways such as mitosis, DNA damage response and repair, apoptosis and splicing. Here, we report a novel donor splice site variant in the G-patch domain and KOW motifs ( GPKOW) gene (NG_021310.2:g.6126G>A, NM_015698.4:c.331+5G>A) that segregates with affected and carrier status in a multigenerational family with an X-linked perinatal lethal condition characterized by severe microcephaly and intrauterine growth restriction (IUGR). GPKOW is a core member of the spliceosome that has been shown in numerous model organisms and in human cells to be essential for survival. By investigating GPKOW transcripts in lymphoblastoid cell lines (LCLs) of three carrier females, we show that the GPKOW c.331+5G>A variant disrupts normal splicing of its pre-mRNAs. In a clonal culture expressing only the c.331+5G>A allele isolated from one carrier female LCL, we observed an 80% reduction in wild type GPKOW mRNA, 70% reduction in the full length GPKOW protein and the presence of a truncated GPKOW protein with possible dominant negative effect. Based on our and published data we propose that the GPKOW gene is essential for fetal development and when disrupted, leads to a severe, male-lethal phenotype characterised by microcephaly and IUGR.

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          Analysis of protein-coding genetic variation in 60,706 humans

          Summary Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. We describe the aggregation and analysis of high-quality exome (protein-coding region) sequence data for 60,706 individuals of diverse ethnicities generated as part of the Exome Aggregation Consortium (ExAC). This catalogue of human genetic diversity contains an average of one variant every eight bases of the exome, and provides direct evidence for the presence of widespread mutational recurrence. We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; identifying 3,230 genes with near-complete depletion of truncating variants with 72% having no currently established human disease phenotype. Finally, we demonstrate that these data can be used for the efficient filtering of candidate disease-causing variants, and for the discovery of human “knockout” variants in protein-coding genes.
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            A general framework for estimating the relative pathogenicity of human genetic variants

            Our capacity to sequence human genomes has exceeded our ability to interpret genetic variation. Current genomic annotations tend to exploit a single information type (e.g. conservation) and/or are restricted in scope (e.g. to missense changes). Here, we describe Combined Annotation Dependent Depletion (CADD), a framework that objectively integrates many diverse annotations into a single, quantitative score. We implement CADD as a support vector machine trained to differentiate 14.7 million high-frequency human derived alleles from 14.7 million simulated variants. We pre-compute “C-scores” for all 8.6 billion possible human single nucleotide variants and enable scoring of short insertions/deletions. C-scores correlate with allelic diversity, annotations of functionality, pathogenicity, disease severity, experimentally measured regulatory effects, and complex trait associations, and highly rank known pathogenic variants within individual genomes. The ability of CADD to prioritize functional, deleterious, and pathogenic variants across many functional categories, effect sizes and genetic architectures is unmatched by any current annotation.
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              Gene essentiality and synthetic lethality in haploid human cells.

              Although the genes essential for life have been identified in less complex model organisms, their elucidation in human cells has been hindered by technical barriers. We used extensive mutagenesis in haploid human cells to identify approximately 2000 genes required for optimal fitness under culture conditions. To study the principles of genetic interactions in human cells, we created a synthetic lethality network focused on the secretory pathway based exclusively on mutations. This revealed a genetic cross-talk governing Golgi homeostasis, an additional subunit of the human oligosaccharyltransferase complex, and a phosphatidylinositol 4-kinase β adaptor hijacked by viruses. The synthetic lethality map parallels observations made in yeast and projects a route forward to reveal genetic networks in diverse aspects of human cell biology.
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                Author and article information

                Journal
                Eur J Hum Genet
                Eur. J. Hum. Genet
                European Journal of Human Genetics
                Nature Publishing Group
                1018-4813
                1476-5438
                September 2017
                14 June 2017
                1 September 2017
                : 25
                : 9
                : 1078-1082
                Affiliations
                [1 ]The Robinson Research Institute, The University of Adelaide , Adelaide, Australia
                [2 ]School of Medicine, The University of Adelaide , Adelaide, Australia
                [3 ]Genetic Services of Western Australia, King Edward Memorial Hospital , Subiaco, WA, Australia
                [4 ]Research Group Development and Disease, Max Planck Institute for Molecular Genetics , Berlin, Germany
                [5 ]School of Biological Sciences, The University of Adelaide , Adelaide, SA, Australia
                [6 ]South Australian Health and Medical Research Institute , Adelaide, SA, Australia
                Author notes
                [* ]School of Medicine and The Robinson Research Institute, The University of Adelaide , WCH, 9th Floor Rieger Building, 72 King William Road, Adelaide 5000, SA, Australia. Tel: +61 883133245; Fax: +61 881617342; E-mail: jozef.gecz@ 123456adelaide.edu.au
                [7]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-7884-6861
                Article
                ejhg201797
                10.1038/ejhg.2017.97
                5558180
                28612833
                33921b6d-23b6-4864-bf7f-d2972a8e4b00
                Copyright © 2017 The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 24 January 2017
                : 19 April 2017
                : 25 April 2017
                Categories
                Short Report

                Genetics
                Genetics

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