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      In trans variant calling reveals enrichment for compound heterozygous variants in genes involved in neuronal development and growth.

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          Abstract

          Compound heterozygotes occur when different variants at the same locus on both maternal and paternal chromosomes produce a recessive trait. Here we present the tool VarCount for the quantification of variants at the individual level. We used VarCount to characterize compound heterozygous coding variants in patients with epileptic encephalopathy and in the 1000 Genomes Project participants. The Epi4k data contains variants identified by whole exome sequencing in patients with either Lennox-Gastaut Syndrome (LGS) or infantile spasms (IS), as well as their parents. We queried the Epi4k dataset (264 trios) and the phased 1000 Genomes Project data (2504 participants) for recessive variants. To assess enrichment, transcript counts were compared between the Epi4k and 1000 Genomes Project participants using minor allele frequency (MAF) cutoffs of 0.5 and 1.0%, and including all ancestries or only probands of European ancestry. In the Epi4k participants, we found enrichment for rare, compound heterozygous variants in six genes, including three involved in neuronal growth and development – PRTG (p = 0.00086, 1% MAF, combined ancestries), TNC (p = 0.022, 1% MAF, combined ancestries) and MACF1 (p = 0.0245, 0.5% MAF, EU ancestry). Due to the total number of transcripts considered in these analyses, the enrichment detected was not significant after correction for multiple testing and higher powered or prospective studies are necessary to validate the candidacy of these genes. However, PRTG, TNC and MACF1 are potential novel recessive epilepsy genes and our results highlight that compound heterozygous variants should be considered in sporadic epilepsy.

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          Most cited references23

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          The impact of rare and low-frequency genetic variants in common disease

          Despite thousands of genetic loci identified to date, a large proportion of genetic variation predisposing to complex disease and traits remains unaccounted for. Advances in sequencing technology enable focused explorations on the contribution of low-frequency and rare variants to human traits. Here we review experimental approaches and current knowledge on the contribution of these genetic variants in complex disease and discuss challenges and opportunities for personalised medicine. Electronic supplementary material The online version of this article (doi:10.1186/s13059-017-1212-4) contains supplementary material, which is available to authorized users.
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            Resequencing of 200 human exomes identifies an excess of low-frequency non-synonymous coding variants.

            Targeted capture combined with massively parallel exome sequencing is a promising approach to identify genetic variants implicated in human traits. We report exome sequencing of 200 individuals from Denmark with targeted capture of 18,654 coding genes and sequence coverage of each individual exome at an average depth of 12-fold. On average, about 95% of the target regions were covered by at least one read. We identified 121,870 SNPs in the sample population, including 53,081 coding SNPs (cSNPs). Using a statistical method for SNP calling and an estimation of allelic frequencies based on our population data, we derived the allele frequency spectrum of cSNPs with a minor allele frequency greater than 0.02. We identified a 1.8-fold excess of deleterious, non-syonomyous cSNPs over synonymous cSNPs in the low-frequency range (minor allele frequencies between 2% and 5%). This excess was more pronounced for X-linked SNPs, suggesting that deleterious substitutions are primarily recessive.
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              Genetic and functional analyses demonstrate a role for abnormal glycinergic signaling in autism.

              Autism spectrum disorder (ASD) is a common neurodevelopmental condition characterized by marked genetic heterogeneity. Recent studies of rare structural and sequence variants have identified hundreds of loci involved in ASD, but our knowledge of the overall genetic architecture and the underlying pathophysiological mechanisms remains incomplete. Glycine receptors (GlyRs) are ligand-gated chloride channels that mediate inhibitory neurotransmission in the adult nervous system but exert an excitatory action in immature neurons. GlyRs containing the α2 subunit are highly expressed in the embryonic brain, where they promote cortical interneuron migration and the generation of excitatory projection neurons. We previously identified a rare microdeletion of the X-linked gene GLRA2, encoding the GlyR α2 subunit, in a boy with autism. The microdeletion removes the terminal exons of the gene (GLRA2(Δex8-9)). Here, we sequenced 400 males with ASD and identified one de novo missense mutation, p.R153Q, absent from controls. In vitro functional analysis demonstrated that the GLRA2(Δex8)(-)(9) protein failed to localize to the cell membrane, while the R153Q mutation impaired surface expression and markedly reduced sensitivity to glycine. Very recently, an additional de novo missense mutation (p.N136S) was reported in a boy with ASD, and we show that this mutation also reduced cell-surface expression and glycine sensitivity. Targeted glra2 knockdown in zebrafish induced severe axon-branching defects, rescued by injection of wild type but not GLRA2(Δex8-9) or R153Q transcripts, providing further evidence for their loss-of-function effect. Glra2 knockout mice exhibited deficits in object recognition memory and impaired long-term potentiation in the prefrontal cortex. Taken together, these results implicate GLRA2 in non-syndromic ASD, unveil a novel role for GLRA2 in synaptic plasticity and learning and memory, and link altered glycinergic signaling to social and cognitive impairments.
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                Author and article information

                Journal
                Genet Res (Camb)
                Genet Res (Camb)
                GRH
                Genetics Research
                Cambridge University Press (Cambridge, UK )
                0016-6723
                1469-5073
                2019
                13 June 2019
                : 101
                : e8
                Affiliations
                [1 ]Department of Pediatrics, The University of Iowa , Iowa City, IA, USA
                [2 ]Interdisciplinary Graduate Program in Genetics, The University of Iowa , Iowa City, IA, USA
                [3 ]Medical Scientist Training Program, University of Iowa , Iowa City, IA, USA
                [4 ]Omics Laboratory, Department of Ophthalmology, Byers Eye Institute, Stanford University , Palo Alto, CA, USA
                [5 ]Palo Alto Veterans Administration , Palo Alto, CA, USA
                [6 ]Department of Anthropology, The University of Iowa , Iowa City, IA, USA
                Author notes
                Author for correspondence: Alexander Bassuk, E-mail: alexander-bassuk@ 123456uiowa.edu
                Author information
                https://orcid.org/0000-0002-6803-4456
                Article
                S0016672319000065 00006
                10.1017/S0016672319000065
                7045018
                31190668
                aee015fb-26e4-46db-a267-26e517280d2e
                © Cambridge University Press 2019

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 February 2019
                : 15 April 2019
                : 17 April 2019
                Page count
                Figures: 2, Tables: 2, References: 37, Pages: 8
                Categories
                Research Paper

                Genetics
                bioinformatics,compound heterozygous,epilepsy,genetics
                Genetics
                bioinformatics, compound heterozygous, epilepsy, genetics

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