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      Spinal muscular atrophy diagnosis and carrier screening from genome sequencing data

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          Abstract

          Purpose

          Spinal muscular atrophy (SMA), caused by loss of the SMN1 gene, is a leading cause of early childhood death. Due to the near identical sequences of SMN1 and SMN2, analysis of this region is challenging. Population-wide SMA screening to quantify the SMN1 copy number (CN) is recommended by the American College of Medical Genetics and Genomics.

          Methods

          We developed a method that accurately identifies the CN of SMN1 and SMN2 using genome sequencing (GS) data by analyzing read depth and eight informative reference genome differences between SMN1/2.

          Results

          We characterized SMN1/2 in 12,747 genomes, identified 1568 samples with SMN1 gains or losses and 6615 samples with SMN2 gains or losses, and calculated a pan-ethnic carrier frequency of 2%, consistent with previous studies. Additionally, 99.8% of our SMN1 and 99.7% of SMN2 CN calls agreed with orthogonal methods, with a recall of 100% for SMA and 97.8% for carriers, and a precision of 100% for both SMA and carriers.

          Conclusion

          This SMN copy-number caller can be used to identify both carrier and affected status of SMA, enabling SMA testing to be offered as a comprehensive test in neonatal care and an accurate carrier screening tool in GS sequencing projects.

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          Most cited references38

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          A global reference for human genetic variation

          The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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            Single-Dose Gene-Replacement Therapy for Spinal Muscular Atrophy

            Spinal muscular atrophy type 1 (SMA1) is a progressive, monogenic motor neuron disease with an onset during infancy that results in failure to achieve motor milestones and in death or the need for mechanical ventilation by 2 years of age. We studied functional replacement of the mutated gene encoding survival motor neuron 1 (SMN1) in this disease.
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              Identification and characterization of a spinal muscular atrophy-determining gene

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                Author and article information

                Contributors
                meberle@illumina.com
                Journal
                Genet Med
                Genet. Med
                Genetics in Medicine
                Nature Publishing Group US (New York )
                1098-3600
                1530-0366
                18 February 2020
                18 February 2020
                2020
                : 22
                : 5
                : 945-953
                Affiliations
                [1 ]ISNI 0000 0004 0507 3954, GRID grid.185669.5, Illumina Inc., ; San Diego, CA USA
                [2 ]ISNI 0000000121885934, GRID grid.5335.0, Department of Haematology, , University of Cambridge, NHS Blood and Transplant Centre, ; Cambridge, UK
                [3 ]ISNI 0000 0004 0383 8386, GRID grid.24029.3d, NIHR BioResource, , Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, ; Cambridge, UK
                [4 ]ISNI 0000000121885934, GRID grid.5335.0, Cambridge Institute for Medical Research, , University of Cambridge, ; Cambridge, UK
                [5 ]ISNI 0000 0004 0458 9676, GRID grid.239281.3, Center for Applied Clinical Genomics, Nemours Biomedical Research, , Nemours Alfred I. duPont Hospital for Children, ; Wilmington, DE USA
                [6 ]ISNI 0000 0004 0383 8386, GRID grid.24029.3d, East Midlands and East of England NHS Genomic Laboratory Hub, , Cambridge University Hospitals NHS Foundation Trust, ; Cambridge, UK
                [7 ]GRID grid.434747.7, Illumina Cambridge Ltd, Great Abington, ; Cambridge, UK
                [8 ]ISNI 0000 0004 0458 9676, GRID grid.239281.3, Center for Pediatric Research, Nemours Biomedical Research, , Nemours Alfred I. duPont Hospital for Children, ; Wilmington, DE USA
                [9 ]ISNI 0000 0001 2166 5843, GRID grid.265008.9, Department of Pediatrics, Sidney Kimmel College of Medicine, , Thomas Jefferson University, ; Philadelphia, PA USA
                [10 ]ISNI 0000 0001 0454 4791, GRID grid.33489.35, Department of Biological Sciences, , University of Delaware, ; Newark, DE USA
                Author information
                http://orcid.org/0000-0002-1432-268X
                http://orcid.org/0000-0003-2912-6400
                http://orcid.org/0000-0001-8965-1253
                Article
                754
                10.1038/s41436-020-0754-0
                7200598
                32066871
                f42a5f8d-6931-4ecb-b8f8-b2c16379a82c
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 10 September 2019
                : 22 January 2020
                : 24 January 2020
                Categories
                Article
                Custom metadata
                © American College of Medical Genetics and Genomics 2020

                Genetics
                spinal muscular atrophy (sma),carrier screening,copy-number analysis,genome sequencing (gs),bioinformatics

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