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      A novel nonsense variant of the AGXT identified in a Chinese family: special variant research in the Chinese reference genome

      case-report

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          Abstract

          Background

          Primary hyperoxaluria(PH)is a rare autosomal recessive genetic disease that contains three subtypes (PH1, PH2 and PH3). Approximately 80% of PH patients has been reported as subtype PH1, this subtype of PH has been related to a higher risk of renal failure at any age. Several genetic studies indicate that the variants in gene AGXT are responsible for the occurrence of PH1. However, the population heterogeneity of the variants in AGXT makes the genetic diagnosis of PH1 more challenging as it is hard to locate each specific variant. It is valuable to have a complete spectrum of AGXT variants from different population for early diagnosis and clinical treatments of PH1.

          Case presentation

          In this study, We performed high-throughput sequencing and genetic analysis of a 6-year-old male PH1 patient from a Chinese family. Two variants (c.346G > A: p.Gly116Arg; c.864G > A: p.Trp288X) of the gene AGXT were identified. We found a nonsense variant (c.864G > A: p.Trp288X) that comes from the proband’s mother and has never been reported previously. The other missense variant (c.346G > A: p.Gly116Arg) was inherited from his father and has been found previously in a domain of aminotransferase, which plays an important role in the function of AGT protein. Furthermore, we searched 110 pathogenic variants of AGXT that have been reported worldwide in healthy local Chinese population, none of these pathogenic variants was detected in the local genomes.

          Conclusions

          Our research provides an important diagnosis basis for PH1 on the genetic level by updating the genotype of PH1 and also develops a better understanding of the variants in AGXT by broadening the variation database of AGXT according to the Chinese reference genome.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12882-021-02276-3.

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          Most cited references33

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

            The American College of Medical Genetics and Genomics (ACMG) previously developed guidance for the interpretation of sequence variants. 1 In the past decade, sequencing technology has evolved rapidly with the advent of high-throughput next generation sequencing. By adopting and leveraging next generation sequencing, clinical laboratories are now performing an ever increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes and epigenetic assays for genetic disorders. By virtue of increased complexity, this paradigm shift in genetic testing has been accompanied by new challenges in sequence interpretation. In this context, the ACMG convened a workgroup in 2013 comprised of representatives from the ACMG, the Association for Molecular Pathology (AMP) and the College of American Pathologists (CAP) to revisit and revise the standards and guidelines for the interpretation of sequence variants. The group consisted of clinical laboratory directors and clinicians. This report represents expert opinion of the workgroup with input from ACMG, AMP and CAP stakeholders. These recommendations primarily apply to the breadth of genetic tests used in clinical laboratories including genotyping, single genes, panels, exomes and genomes. This report recommends the use of specific standard terminology: ‘pathogenic’, ‘likely pathogenic’, ‘uncertain significance’, ‘likely benign’, and ‘benign’ to describe variants identified in Mendelian disorders. Moreover, this recommendation describes a process for classification of variants into these five categories based on criteria using typical types of variant evidence (e.g. population data, computational data, functional data, segregation data, etc.). Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recommends that clinical molecular genetic testing should be performed in a CLIA-approved laboratory with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or equivalent.
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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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                Author and article information

                Contributors
                xue-xiasophia@hotmail.com
                Journal
                BMC Nephrol
                BMC Nephrol
                BMC Nephrology
                BioMed Central (London )
                1471-2369
                10 March 2021
                10 March 2021
                2021
                : 22
                : 83
                Affiliations
                [1 ]GRID grid.207374.5, ISNI 0000 0001 2189 3846, The Second Affiliated Hospital of Zhengzhou University, , Zhengzhou University, ; Zhengzhou, China
                [2 ]GRID grid.207374.5, ISNI 0000 0001 2189 3846, Academy of Medical Sciences, , ZhengZhou University, ; Zhengzhou, China
                [3 ]GRID grid.207374.5, ISNI 0000 0001 2189 3846, Precision Medicine Center of ZhengZhou University, ; Zhengzhou, China
                [4 ]GRID grid.207374.5, ISNI 0000 0001 2189 3846, BGI College, , ZhengZhou University, ; Zhengzhou, China
                [5 ]GRID grid.207374.5, ISNI 0000 0001 2189 3846, Henan Institute of Medical and Pharmaceutical Sciences, , Zhengzhou University, ; Zhengzhou, China
                Article
                2276
                10.1186/s12882-021-02276-3
                7945658
                33691640
                e28fd3d6-04b8-4c4d-8038-dab362fc5dfc
                © 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 23 January 2020
                : 19 February 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004605, Zhengzhou University;
                Award ID: 18XTZX12004
                Award Recipient :
                Funded by: Medical Science and Technology Projects in Henan
                Award ID: Grant NO. SBGJ2018043
                Award Recipient :
                Categories
                Case Report
                Custom metadata
                © The Author(s) 2021

                Nephrology
                primary hyperoxaluria type1,agxt,local genome reference,whole-exome sequencing, case report

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