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      A missense variant in IFT122 associated with a canine model of retinitis pigmentosa

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          Abstract

          Retinitis pigmentosa (RP) is a blinding eye disease affecting nearly two million people worldwide. Dogs are affected with a similar illness termed progressive retinal atrophy (PRA). Lapponian herders (LHs) are affected with several types of inherited retinal dystrophies, and variants in PRCD and BEST1 genes have been associated with generalized PRA and canine multifocal retinopathy 3 (cmr3), respectively. However, all retinal dystrophy cases in LHs are not explained by these variants, indicating additional genetic causes of disease in the breed. We collected DNA samples from 10 PRA affected LHs, with known PRCD and BEST1 variants excluded, and 34 unaffected LHs. A genome-wide association study identified a locus on CFA20 ( p raw = 2.4 × 10 –7, p Bonf = 0.035), and subsequent whole-genome sequencing of an affected LH revealed a missense variant, c.3176G>A, in the intraflagellar transport 122 ( IFT122) gene. The variant was also found in Finnish Lapphunds, in which its clinical relevancy needs to be studied further. The variant interrupts a highly conserved residue, p.(R1059H), in IFT122 and likely impairs its function. Variants in IFT122 have not been associated with retinal degeneration in mammals, but the loss of ift122 in zebrafish larvae impaired opsin transport and resulted in progressive photoreceptor degeneration. Our study establishes a new spontaneous dog model to study the role of IFT122 in RP biology, while the affected breed will benefit from a genetic test for a recessive condition.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00439-021-02266-3.

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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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            DELLY: structural variant discovery by integrated paired-end and split-read analysis

            Motivation: The discovery of genomic structural variants (SVs) at high sensitivity and specificity is an essential requirement for characterizing naturally occurring variation and for understanding pathological somatic rearrangements in personal genome sequencing data. Of particular interest are integrated methods that accurately identify simple and complex rearrangements in heterogeneous sequencing datasets at single-nucleotide resolution, as an optimal basis for investigating the formation mechanisms and functional consequences of SVs. Results: We have developed an SV discovery method, called DELLY, that integrates short insert paired-ends, long-range mate-pairs and split-read alignments to accurately delineate genomic rearrangements at single-nucleotide resolution. DELLY is suitable for detecting copy-number variable deletion and tandem duplication events as well as balanced rearrangements such as inversions or reciprocal translocations. DELLY, thus, enables to ascertain the full spectrum of genomic rearrangements, including complex events. On simulated data, DELLY compares favorably to other SV prediction methods across a wide range of sequencing parameters. On real data, DELLY reliably uncovers SVs from the 1000 Genomes Project and cancer genomes, and validation experiments of randomly selected deletion loci show a high specificity. Availability: DELLY is available at www.korbel.embl.de/software.html Contact: tobias.rausch@embl.de
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              Repbase Update, a database of eukaryotic repetitive elements.

              Repbase Update is a comprehensive database of repetitive elements from diverse eukaryotic organisms. Currently, it contains over 3600 annotated sequences representing different families and subfamilies of repeats, many of which are unreported anywhere else. Each sequence is accompanied by a short description and references to the original contributors. Repbase Update includes Repbase Reports, an electronic journal publishing newly discovered transposable elements, and the Transposon Pub, a web-based browser of selected chromosomal maps of transposable elements. Sequences from Repbase Update are used to screen and annotate repetitive elements using programs such as Censor and RepeatMasker. Repbase Update is available on the worldwide web at http://www.girinst.org/Repbase_Update.html.
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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
                19 February 2021
                19 February 2021
                2021
                : 140
                : 11
                : 1569-1579
                Affiliations
                [1 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Veterinary Biosciences, , University of Helsinki, ; Helsinki, Finland
                [2 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Medical and Clinical Genetics, , University of Helsinki, ; Helsinki, Finland
                [3 ]GRID grid.428673.c, ISNI 0000 0004 0409 6302, Folkhälsan Research Center, ; Helsinki, Finland
                [4 ]Veterinary Clinic Kamu, Oulu, Finland
                [5 ]Genoscoper Laboratories Ltd (Wisdom Health), Helsinki, Finland
                [6 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Equine and Small Animal Medicine, , University of Helsinki, ; Helsinki, Finland
                [7 ]GRID grid.15485.3d, ISNI 0000 0000 9950 5666, Department of Ophthalmology, , University of Helsinki, Helsinki University Hospital, ; Helsinki, Finland
                [8 ]GRID grid.4714.6, ISNI 0000 0004 1937 0626, Department of Biosciences and Nutrition, , Karolinska Institutet, ; Huddinge, Sweden
                [9 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Stem Cells and Metabolism Research Program STEMM, , University of Helsinki, ; 00014 Helsinki, Finland
                Author information
                http://orcid.org/0000-0002-2146-4694
                http://orcid.org/0000-0002-7632-3936
                http://orcid.org/0000-0003-4168-9951
                http://orcid.org/0000-0003-4072-0996
                http://orcid.org/0000-0002-9874-8484
                http://orcid.org/0000-0002-2448-7672
                http://orcid.org/0000-0002-9569-9146
                http://orcid.org/0000-0002-8915-9282
                http://orcid.org/0000-0003-1974-0271
                http://orcid.org/0000-0003-1087-5532
                Article
                2266
                10.1007/s00439-021-02266-3
                8519925
                33606121
                79f6545c-925b-45ab-b402-a28be4ee0933
                © 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
                : 16 December 2020
                : 10 February 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004012, Jane ja Aatos Erkon Säätiö;
                Funded by: Academy of Finland
                Funded by: HiLife
                Funded by: Wisdom Health
                Funded by: FundRef http://dx.doi.org/10.13039/501100006306, Sigrid Juséliuksen Säätiö;
                Funded by: Mary and Georg C. Ehnrooth Foundation
                Funded by: FundRef http://dx.doi.org/10.13039/501100011905, Evald ja Hilda Nissi Stiftelse;
                Funded by: FundRef http://dx.doi.org/10.13039/501100007083, Orionin Tutkimussäätiö;
                Funded by: Canine Health Research Fund
                Funded by: Scandinavia–Japan Sasakawa Foundation
                Funded by: Japan Eye Bank Association
                Funded by: Astellas Foundation for Research on Metabolic Disorders
                Funded by: Japan Society for the Promotion of Science (JSPS) Overseas Research Fellowships
                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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