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      In-frame deletion in canine PITRM1 is associated with a severe early-onset epilepsy, mitochondrial dysfunction and neurodegeneration

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          Abstract

          We investigated the clinical, genetic, and pathological characteristics of a previously unknown severe juvenile brain disorder in several litters of Parson Russel Terriers. The disease started with epileptic seizures at 6–12 weeks of age and progressed rapidly to status epilepticus and death or euthanasia. Histopathological changes at autopsy were restricted to the brain. There was severe acute neuronal degeneration and necrosis diffusely affecting the grey matter throughout the brain with extensive intraneuronal mitochondrial crowding and accumulation of amyloid-β (Aβ). Combined homozygosity mapping and genome sequencing revealed an in-frame 6-bp deletion in the nuclear-encoded pitrilysin metallopeptidase 1 ( PITRM1) encoding for a mitochondrial protease involved in mitochondrial targeting sequence processing and degradation. The 6-bp deletion results in the loss of two amino acid residues in the N-terminal part of PITRM1, potentially affecting protein folding and function. Assessment of the mitochondrial function in the affected brain tissue showed a significant deficiency in respiratory chain function. The functional consequences of the mutation were modeled in yeast and showed impaired growth in permissive conditions and an impaired respiration capacity. Loss-of-function variants in human PITRM1 result in a childhood-onset progressive amyloidotic neurological syndrome characterized by spinocerebellar ataxia with behavioral, psychiatric and cognitive abnormalities. Homozygous Pitrm1-knockout mice are embryonic lethal, while heterozygotes show a progressive, neurodegenerative phenotype characterized by impairment in motor coordination and Aβ deposits. Our study describes a novel early-onset PITRM1-related neurodegenerative canine brain disorder with mitochondrial dysfunction, Aβ accumulation, and lethal epilepsy. The findings highlight the essential role of PITRM1 in neuronal survival and strengthen the connection between mitochondrial dysfunction and neurodegeneration.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00439-021-02279-y.

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          Most cited references26

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          The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

          Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS--the 1000 Genome pilot alone includes nearly five terabases--make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scope and the ease with which they can answer scientific questions by the complexity of accessing and manipulating the data produced by these machines. Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming framework designed to ease the development of efficient and robust analysis tools for next-generation DNA sequencers using the functional programming philosophy of MapReduce. The GATK provides a small but rich set of data access patterns that encompass the majority of analysis tool needs. Separating specific analysis calculations from common data management infrastructure enables us to optimize the GATK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities of the GATK by describing the implementation and application of robust, scale-tolerant tools like coverage calculators and single nucleotide polymorphism (SNP) calling. We conclude that the GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
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            PLINK: a tool set for whole-genome association and population-based linkage analyses.

            Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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              PROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels.

              We present a web server to predict the functional effect of single or multiple amino acid substitutions, insertions and deletions using the prediction tool PROVEAN. The server provides rapid analysis of protein variants from any organisms, and also supports high-throughput analysis for human and mouse variants at both the genomic and protein levels.
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                Author and article information

                Contributors
                hannes.lohi@helsinki.fi
                Journal
                Hum Genet
                Hum Genet
                Human Genetics
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0340-6717
                1432-1203
                9 April 2021
                9 April 2021
                2021
                : 140
                : 11
                : 1593-1609
                Affiliations
                [1 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Medical and Clinical Genetics, , University of Helsinki, ; Helsinki, Finland
                [2 ]GRID grid.428673.c, ISNI 0000 0004 0409 6302, Folkhälsan Research Center, ; Helsinki, Finland
                [3 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Veterinary Biosciences, , University of Helsinki, ; Helsinki, Finland
                [4 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Biochemistry and Developmental Biology, , University of Helsinki, ; Helsinki, Finland
                [5 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Equine and Small Animal Medicine, , University of Helsinki, ; Helsinki, Finland
                [6 ]GRID grid.5252.0, ISNI 0000 0004 1936 973X, Faculty of Veterinary Medicine, Centre for Clinical Veterinary Medicine, , LMU-Munich, ; Veterinärstrasse 13, 80539 Munich, Germany
                [7 ]GRID grid.10383.39, ISNI 0000 0004 1758 0937, Department of Chemistry, Life Sciences and Environmental Sustainability, , University of Parma, ; Parma, Italy
                [8 ]Wisdom Health (Genoscoper Laboratories), Helsinki, Finland
                [9 ]GRID grid.509946.7, ISNI 0000 0004 9290 2959, Finnish Food Authority, ; Helsinki, Finland
                [10 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Research Programs Unit, Stem Cells and Metabolism Research Program, , University of Helsinki, ; Helsinki, Finland
                [11 ]GRID grid.7914.b, ISNI 0000 0004 1936 7443, Department of Clinical Medicine (K1), , University of Bergen, ; Bergen, Norway
                [12 ]GRID grid.412008.f, ISNI 0000 0000 9753 1393, Department of Neurology, Neuro-SysMed, , Haukeland University Hospital, ; Bergen, Norway
                Author information
                http://orcid.org/0000-0003-1976-5874
                http://orcid.org/0000-0003-1035-6417
                http://orcid.org/0000-0001-9740-2636
                http://orcid.org/0000-0001-6389-0109
                http://orcid.org/0000-0001-5021-3280
                http://orcid.org/0000-0002-1485-1610
                http://orcid.org/0000-0003-4397-9143
                http://orcid.org/0000-0002-8280-7849
                http://orcid.org/0000-0001-7040-1289
                http://orcid.org/0000-0003-4072-0996
                http://orcid.org/0000-0001-7193-7771
                http://orcid.org/0000-0002-9874-8484
                http://orcid.org/0000-0003-4089-1357
                http://orcid.org/0000-0003-4833-5195
                http://orcid.org/0000-0003-0988-276X
                http://orcid.org/0000-0003-1087-5532
                Article
                2279
                10.1007/s00439-021-02279-y
                8519929
                33835239
                719d5e43-f428-4856-8907-6d4c66b7a298
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 21 December 2020
                : 27 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004012, Jane ja Aatos Erkon Säätiö;
                Funded by: The Academy of Finland
                Funded by: Helsinki Institute of Life Science
                Funded by: Wisdom Health
                Funded by: Italian Ministry of Education
                Award ID: MIUR, 2018-2022
                Award Recipient :
                Funded by: University of Helsinki including Helsinki University Central Hospital
                Categories
                Original Investigation
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Genetics
                Genetics

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