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Sund KL, Liu J, Lee J, Garbe J, Abdelhamed Z, Maag C, Hallinan B, Wu SW, Sperry E, Deshpande A, Stottmann R, Smolarek TA, Dyer LM, Hestand MS. Long-read sequencing and optical genome mapping identify causative gene disruptions in noncoding sequence in two patients with neurologic disease and known chromosome abnormalities. Am J Med Genet A 2024:e63818. [PMID: 39041659 DOI: 10.1002/ajmg.a.63818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 06/12/2024] [Accepted: 07/07/2024] [Indexed: 07/24/2024]
Abstract
Despite advances in next generation sequencing (NGS), genetic diagnoses remain elusive for many patients with neurologic syndromes. Long-read sequencing (LRS) and optical genome mapping (OGM) technologies improve upon existing capabilities in the detection and interpretation of structural variation in repetitive DNA, on a single haplotype, while also providing enhanced breakpoint resolution. We performed LRS and OGM on two patients with known chromosomal rearrangements and inconclusive Sanger or NGS. The first patient, who had epilepsy and developmental delay, had a complex translocation between two chromosomes that included insertion and inversion events. The second patient, who had a movement disorder, had an inversion on a single chromosome disrupted by multiple smaller inversions and insertions. Sequence level resolution of the rearrangements identified pathogenic breaks in noncoding sequence in or near known disease-causing genes with relevant neurologic phenotypes (MBD5, NKX2-1). These specific variants have not been reported previously, but expected molecular consequences are consistent with previously reported cases. As the use of LRS and OGM technologies for clinical testing increases and data analyses become more standardized, these methods along with multiomic data to validate noncoding variation effects will improve diagnostic yield and increase the proportion of probands with detectable pathogenic variants for known genes implicated in neurogenetic disease.
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Affiliation(s)
- Kristen L Sund
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Jie Liu
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Joyce Lee
- Bionano Genomics, San Diego, California, USA
| | - John Garbe
- University of Minnesota Genomics Center, University of Minnesota, Minneapolis, Minnesota, USA
| | - Zakia Abdelhamed
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Chelsey Maag
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Barbara Hallinan
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Steven W Wu
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Ethan Sperry
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Archana Deshpande
- University of Minnesota Genomics Center, University of Minnesota, Minneapolis, Minnesota, USA
| | - Rolf Stottmann
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Teresa A Smolarek
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Lisa M Dyer
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Matthew S Hestand
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
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Steyaert W, Sagath L, Demidov G, Yépez VA, Esteve-Codina A, Gagneur J, Ellwanger K, Derks R, Weiss M, den Ouden A, van den Heuvel S, Swinkels H, Zomer N, Steehouwer M, O'Gorman L, Astuti G, Neveling K, Schüle R, Xu J, Synofzik M, Beijer D, Hengel H, Schöls L, Claeys KG, Baets J, Van de Vondel L, Ferlini A, Selvatici R, Morsy H, Saeed Abd Elmaksoud M, Straub V, Müller J, Pini V, Perry L, Sarkozy A, Zaharieva I, Muntoni F, Bugiardini E, Polavarapu K, Horvath R, Reid E, Lochmüller H, Spinazzi M, Savarese M, Matalonga L, Laurie S, Brunner HG, Graessner H, Beltran S, Ossowski S, Vissers LELM, Gilissen C, Hoischen A. Unravelling undiagnosed rare disease cases by HiFi long-read genome sequencing. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.03.24305331. [PMID: 38746462 PMCID: PMC11092722 DOI: 10.1101/2024.05.03.24305331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Solve-RD is a pan-European rare disease (RD) research program that aims to identify disease-causing genetic variants in previously undiagnosed RD families. We utilised 10-fold coverage HiFi long-read sequencing (LRS) for detecting causative structural variants (SVs), single nucleotide variants (SNVs), insertion-deletions (InDels), and short tandem repeat (STR) expansions in extensively studied RD families without clear molecular diagnoses. Our cohort includes 293 individuals from 114 genetically undiagnosed RD families selected by European Rare Disease Network (ERN) experts. Of these, 21 families were affected by so-called 'unsolvable' syndromes for which genetic causes remain unknown, and 93 families with at least one individual affected by a rare neurological, neuromuscular, or epilepsy disorder without genetic diagnosis despite extensive prior testing. Clinical interpretation and orthogonal validation of variants in known disease genes yielded thirteen novel genetic diagnoses due to de novo and rare inherited SNVs, InDels, SVs, and STR expansions. In an additional four families, we identified a candidate disease-causing SV affecting several genes including an MCF2 / FGF13 fusion and PSMA3 deletion. However, no common genetic cause was identified in any of the 'unsolvable' syndromes. Taken together, we found (likely) disease-causing genetic variants in 13.0% of previously unsolved families and additional candidate disease-causing SVs in another 4.3% of these families. In conclusion, our results demonstrate the added value of HiFi long-read genome sequencing in undiagnosed rare diseases.
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Olivucci G, Iovino E, Innella G, Turchetti D, Pippucci T, Magini P. Long read sequencing on its way to the routine diagnostics of genetic diseases. Front Genet 2024; 15:1374860. [PMID: 38510277 PMCID: PMC10951082 DOI: 10.3389/fgene.2024.1374860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 02/26/2024] [Indexed: 03/22/2024] Open
Abstract
The clinical application of technological progress in the identification of DNA alterations has always led to improvements of diagnostic yields in genetic medicine. At chromosome side, from cytogenetic techniques evaluating number and gross structural defects to genomic microarrays detecting cryptic copy number variants, and at molecular level, from Sanger method studying the nucleotide sequence of single genes to the high-throughput next-generation sequencing (NGS) technologies, resolution and sensitivity progressively increased expanding considerably the range of detectable DNA anomalies and alongside of Mendelian disorders with known genetic causes. However, particular genomic regions (i.e., repetitive and GC-rich sequences) are inefficiently analyzed by standard genetic tests, still relying on laborious, time-consuming and low-sensitive approaches (i.e., southern-blot for repeat expansion or long-PCR for genes with highly homologous pseudogenes), accounting for at least part of the patients with undiagnosed genetic disorders. Third generation sequencing, generating long reads with improved mappability, is more suitable for the detection of structural alterations and defects in hardly accessible genomic regions. Although recently implemented and not yet clinically available, long read sequencing (LRS) technologies have already shown their potential in genetic medicine research that might greatly impact on diagnostic yield and reporting times, through their translation to clinical settings. The main investigated LRS application concerns the identification of structural variants and repeat expansions, probably because techniques for their detection have not evolved as rapidly as those dedicated to single nucleotide variants (SNV) identification: gold standard analyses are karyotyping and microarrays for balanced and unbalanced chromosome rearrangements, respectively, and southern blot and repeat-primed PCR for the amplification and sizing of expanded alleles, impaired by limited resolution and sensitivity that have not been significantly improved by the advent of NGS. Nevertheless, more recently, with the increased accuracy provided by the latest product releases, LRS has been tested also for SNV detection, especially in genes with highly homologous pseudogenes and for haplotype reconstruction to assess the parental origin of alleles with de novo pathogenic variants. We provide a review of relevant recent scientific papers exploring LRS potential in the diagnosis of genetic diseases and its potential future applications in routine genetic testing.
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Affiliation(s)
- Giulia Olivucci
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Surgical and Oncological Sciences, University of Palermo, Palermo, Italy
| | - Emanuela Iovino
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giovanni Innella
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Daniela Turchetti
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Tommaso Pippucci
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Pamela Magini
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
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Ilyas M, Tariq F, Ishaq R, Habiba U, Bibi F, Khan SN, Ali Y, Haider S, Efthymiou S, Abdullah U, Raja GK, Shaiq PA. Whole exome sequencing identifies variable expressivity of CLN6 variants in Progressive myoclonic epilepsy affected families. Epilepsy Res 2024; 201:107283. [PMID: 38382230 DOI: 10.1016/j.eplepsyres.2023.107283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/25/2023] [Accepted: 12/14/2023] [Indexed: 02/23/2024]
Abstract
Progressive myoclonic epilepsies (PMEs) are a group of neurodegenerative disorders, predominantly affecting adolescents and, characterized by generalized worsening myoclonus epilepsies, ataxia, cognitive deficits, and dementia. To date, several genes, having implications in diverse phenotypic expressions associated with PMEs, have been identified. Genetic diagnosis is available for most of the adolescence-onset myoclonic epilepsies. This study aimed to elucidate the genetic basis of PMEs in three multiplex Pakistani families exhibiting clinically variable phenotypes. Causative variant(s) in the studied families, and mode of segregation were identified by Whole Exome Sequencing (WES) of the probands, followed by bi-directional Sanger sequencing for final validation. We identified homozygous recessive CLN6 missense variant c.768 C>G (p.Asp256Glu) in Family 1, and c.889 C>A (p.Pro297Thr) variant in Family 2. While in Family 3, we found a homozygous variant (c.316dup) that caused a frameshift mutation, leading to a premature stop codon in the CLN6 protein, resulting in a truncated protein (p.Arg106ProfsTer26). Though CLN6 is previously identified to underlie late infantile and adolescent onset neuronal ceroid lipofuscinosis, this study supports and expands the phenotypic spectrum of CLN6 mutations and signifies diagnositc potential CLN6 variants for PMEs. Diverse pathological effects of variant c .768 C>G were observed in Family 1, with same genotypes, suggesting clinical heterogeneity and/or variable expressivity that might be the implication of pleiotropic effects of the gene in these cases.
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Affiliation(s)
- Muhammad Ilyas
- University Institute of Biochemistry and Biotechnology, (PMAS) Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan; Department of Medical Laboratory Technology, Riphah International University, Malakand Campus, Khyber Pakhtunkhwa, Pakistan
| | - Faiza Tariq
- University Institute of Biochemistry and Biotechnology, (PMAS) Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
| | - Rafaqat Ishaq
- University Institute of Biochemistry and Biotechnology, (PMAS) Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
| | - Umme Habiba
- University Institute of Biochemistry and Biotechnology, (PMAS) Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
| | - Farah Bibi
- University Institute of Biochemistry and Biotechnology, (PMAS) Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
| | - Sadiq Noor Khan
- Department of Medical Laboratory Technology, University of Haripur, Khyber Pakhtunkhwa, Pakistan
| | - Yasir Ali
- Institute of Chemistry, Solvak Academy of Sciences, 84538 Bratislava, Slovakia
| | - Shehzad Haider
- Wah Medical College, Izzat Ali Shah Hospital, Maternal and Child Health Centre, Wah Cantt, Pakistan
| | | | - Uzma Abdullah
- University Institute of Biochemistry and Biotechnology, (PMAS) Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
| | - Ghazala Kaukab Raja
- University Institute of Biochemistry and Biotechnology, (PMAS) Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
| | - Pakeeza Arzoo Shaiq
- University Institute of Biochemistry and Biotechnology, (PMAS) Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan.
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Strych L, Černá M, Hejnalová M, Zavoral T, Komrsková P, Tejcová J, Bitar I, Sládková E, Sýkora J, Šubrt I. Targeted long-read sequencing identified a causal structural variant in X-linked nephrogenic diabetes insipidus. BMC Med Genomics 2024; 17:29. [PMID: 38254165 PMCID: PMC10804598 DOI: 10.1186/s12920-024-01801-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 01/09/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND X-linked nephrogenic diabetes insipidus (NDI) is a rare genetic renal disease caused by pathogenic variants in the AVPR2 gene. Single nucleotide variants and small insertions/deletions in AVPR2 are reliably detected by routine clinical sequencing. Nevertheless, structural variants involving AVPR2 are challenging to identify accurately by conventional genetic testing. Here, we report a novel deletion of AVPR2 in a Czech family identified for the first time by targeted long-read sequencing (T-LRS). METHODS A male proband with X-linked NDI underwent clinical sequencing of the AVPR2 gene that failed and thus indicated possible whole-gene deletion. Therefore, PCR mapping and subsequent targeted long-read sequencing (T-LRS) using a Pacific Biosciences sequencer were applied to search for the suspected deletion. To validate the deletion breakpoints and prove variant segregation in the family with X-linked NDI, Sanger sequencing of the deletion junction was performed. Quantitative real-time PCR was further carried out to confirm the carrier status of heterozygous females. RESULTS By T-LRS, a novel 7.5 kb deletion of AVPR2 causing X-linked NDI in the proband was precisely identified. Sanger sequencing of the deletion junction confirmed the variant breakpoints and detected the deletion in the probands´ mother, maternal aunt, and maternal cousin with X-linked NDI. The carrier status in heterozygous females was further validated by quantitative real-time PCR. CONCLUSIONS Identifying the 7.5 kb deletion gave a precise molecular diagnosis for the proband, enabled genetic counselling and genetic testing for the family, and further expanded the spectrum of structural variants causing X-linked NDI. Our results also show that T-LRS has significant potential for accurately identifying putative structural variants.
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Affiliation(s)
- Lukáš Strych
- Department of Medical Genetics, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic.
| | - Monika Černá
- Department of Medical Genetics, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
| | - Markéta Hejnalová
- Department of Medical Genetics, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
| | - Tomáš Zavoral
- Department of Medical Genetics, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
| | - Pavla Komrsková
- Department of Medical Genetics, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
| | - Jitka Tejcová
- Department of Medical Genetics, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
| | - Ibrahim Bitar
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
- Department of Microbiology, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
| | - Eva Sládková
- Department of Pediatrics, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
| | - Josef Sýkora
- Department of Pediatrics, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
| | - Ivan Šubrt
- Department of Medical Genetics, Faculty of Medicine in Pilsen, Charles University and University Hospital Pilsen, Pilsen, Czech Republic.
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Yu SY, Xi YL, Xu FQ, Zhang J, Liu YS. Application of long read sequencing in rare diseases: The longer, the better? Eur J Med Genet 2023; 66:104871. [PMID: 38832911 DOI: 10.1016/j.ejmg.2023.104871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/11/2023] [Accepted: 10/22/2023] [Indexed: 06/06/2024]
Abstract
Rare diseases encompass a diverse group of genetic disorders that affect a small proportion of the population. Identifying the underlying genetic causes of these conditions presents significant challenges due to their genetic heterogeneity and complexity. Conventional short-read sequencing (SRS) techniques have been widely used in diagnosing and investigating of rare diseases, with limitations due to the nature of short-read lengths. In recent years, long read sequencing (LRS) technologies have emerged as a valuable tool in overcoming these limitations. This minireview provides a concise overview of the applications of LRS in rare disease research and diagnosis, including the identification of disease-causing tandem repeat expansions, structural variations, and comprehensive analysis of pathogenic variants with LRS.
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Affiliation(s)
- Si-Yan Yu
- Department of Pediatric Laboratory, Affiliated Children's Hospital of Jiangnan University (Wuxi Children's Hospital), Wuxi, Jiangsu, China; The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yu-Lin Xi
- Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
| | - Fu-Qiang Xu
- Department of Gynecology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Jian Zhang
- Department of Medical Laboratory, Affiliated Children's Hospital of Jiangnan University (Wuxi Children's Hospital), Wuxi, Jiangsu, China.
| | - Yan-Shan Liu
- Department of Pediatric Laboratory, Affiliated Children's Hospital of Jiangnan University (Wuxi Children's Hospital), Wuxi, Jiangsu, China; Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
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Fukuda H, Mizuguchi T, Doi H, Kameyama S, Kunii M, Joki H, Takahashi T, Komiya H, Sasaki M, Miyaji Y, Ohori S, Koshimizu E, Uchiyama Y, Tsuchida N, Fujita A, Hamanaka K, Misawa K, Miyatake S, Tanaka F, Matsumoto N. Long-read sequencing revealing intragenic deletions in exome-negative spastic paraplegias. J Hum Genet 2023; 68:689-697. [PMID: 37308565 DOI: 10.1038/s10038-023-01170-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 05/01/2023] [Accepted: 06/04/2023] [Indexed: 06/14/2023]
Abstract
Hereditary spastic paraplegias (HSPs) are a heterogeneous group of neurodegenerative disorders characterized by progressive spasticity and weakness in the lower extremities. To date, a total of 88 types of SPG are known. To diagnose HSP, multiple technologies, including microarray, direct sequencing, multiplex ligation-dependent probe amplification, and short-read next-generation sequencing, are often chosen based on the frequency of HSP subtypes. Exome sequencing (ES) is commonly used. We used ES to analyze ten cases of HSP from eight families. We identified pathogenic variants in three cases (from three different families); however, we were unable to determine the cause of the other seven cases using ES. We therefore applied long-read sequencing to the seven undetermined HSP cases (from five families). We detected intragenic deletions within the SPAST gene in four families, and a deletion within PSEN1 in the remaining family. The size of the deletion ranged from 4.7 to 12.5 kb and involved 1-7 exons. All deletions were entirely included in one long read. We retrospectively performed an ES-based copy number variation analysis focusing on pathogenic deletions, but were not able to accurately detect these deletions. This study demonstrated the efficiency of long-read sequencing in detecting intragenic pathogenic deletions in ES-negative HSP patients.
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Affiliation(s)
- Hiromi Fukuda
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Takeshi Mizuguchi
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan.
| | - Hiroshi Doi
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Shinichi Kameyama
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
- Department of Pathology, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Misako Kunii
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Hideto Joki
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
- Department of Neurology, National Hospital Organization Yokohama Medical Center, Yokohama, Kanagawa, 245-8575, Japan
| | - Tatsuya Takahashi
- Department of Neurology, National Hospital Organization Yokohama Medical Center, Yokohama, Kanagawa, 245-8575, Japan
| | - Hiroyasu Komiya
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Mei Sasaki
- Department of Neurology, Yokohama Minami Kyosai Hospital, Yokohama, 236-0037, Japan
| | - Yosuke Miyaji
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Sachiko Ohori
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
- Department of Clinical Genetics, Yokohama City University Hospital, Yokohama, 236-0004, Japan
- Department of Genetics, Kitasato University Hospital, Sagamihara, 252-0375, Japan
| | - Eriko Koshimizu
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Yuri Uchiyama
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
- Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama, 236-0004, Japan
| | - Naomi Tsuchida
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
- Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama, 236-0004, Japan
| | - Atsushi Fujita
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Kohei Hamanaka
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Kazuharu Misawa
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
- RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan
| | - Satoko Miyatake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
- Department of Clinical Genetics, Yokohama City University Hospital, Yokohama, 236-0004, Japan
| | - Fumiaki Tanaka
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan.
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Abstract
DNA sequencing has revolutionized medicine over recent decades. However, analysis of large structural variation and repetitive DNA, a hallmark of human genomes, has been limited by short-read technology, with read lengths of 100-300 bp. Long-read sequencing (LRS) permits routine sequencing of human DNA fragments tens to hundreds of kilobase pairs in size, using both real-time sequencing by synthesis and nanopore-based direct electronic sequencing. LRS permits analysis of large structural variation and haplotypic phasing in human genomes and has enabled the discovery and characterization of rare pathogenic structural variants and repeat expansions. It has also recently enabled the assembly of a complete, gapless human genome that includes previously intractable regions, such as highly repetitive centromeres and homologous acrocentric short arms. With the addition of protocols for targeted enrichment, direct epigenetic DNA modification detection, and long-range chromatin profiling, LRS promises to launch a new era of understanding of genetic diversity and pathogenic mutations in human populations.
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Affiliation(s)
- Peter E Warburton
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; ,
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert P Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; ,
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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9
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Ohori S, Miyauchi A, Osaka H, Lourenco CM, Arakaki N, Sengoku T, Ogata K, Honjo RS, Kim CA, Mitsuhashi S, Frith MC, Seyama R, Tsuchida N, Uchiyama Y, Koshimizu E, Hamanaka K, Misawa K, Miyatake S, Mizuguchi T, Saito K, Fujita A, Matsumoto N. Biallelic structural variations within FGF12 detected by long-read sequencing in epilepsy. Life Sci Alliance 2023; 6:e202302025. [PMID: 37286232 PMCID: PMC10248215 DOI: 10.26508/lsa.202302025] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/09/2023] Open
Abstract
We discovered biallelic intragenic structural variations (SVs) in FGF12 by applying long-read whole genome sequencing to an exome-negative patient with developmental and epileptic encephalopathy (DEE). We also found another DEE patient carrying a biallelic (homozygous) single-nucleotide variant (SNV) in FGF12 that was detected by exome sequencing. FGF12 heterozygous recurrent missense variants with gain-of-function or heterozygous entire duplication of FGF12 are known causes of epilepsy, but biallelic SNVs/SVs have never been described. FGF12 encodes intracellular proteins interacting with the C-terminal domain of the alpha subunit of voltage-gated sodium channels 1.2, 1.5, and 1.6, promoting excitability by delaying fast inactivation of the channels. To validate the molecular pathomechanisms of these biallelic FGF12 SVs/SNV, highly sensitive gene expression analyses using lymphoblastoid cells from the patient with biallelic SVs, structural considerations, and Drosophila in vivo functional analysis of the SNV were performed, confirming loss-of-function. Our study highlights the importance of small SVs in Mendelian disorders, which may be overlooked by exome sequencing but can be detected efficiently by long-read whole genome sequencing, providing new insights into the pathomechanisms of human diseases.
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Affiliation(s)
- Sachiko Ohori
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
- Department of Genetics, Kitasato University Hospital, Sagamihara, Japan
| | - Akihiko Miyauchi
- Department of Pediatrics, Jichi Medical School, Shimotsuke, Japan
| | - Hitoshi Osaka
- Department of Pediatrics, Jichi Medical School, Shimotsuke, Japan
| | - Charles Marques Lourenco
- Neurogenetics Department, Faculdade de Medicina de São José do Rio Preto, São Jose do Rio Preto, Brazil
- Personalized Medicine Department, Special Education Sector at DLE/Grupo Pardini, Belo Horizonte, Brazil
| | - Naohiro Arakaki
- Department of Chromosome Science, National Institute of Genetics, Research Organization of Information and Systems (ROIS), Shizuoka, Japan
- Graduate Institute for Advanced Studies, SOKENDAI, Shizuoka, Japan
| | - Toru Sengoku
- Department of Biochemistry, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Kazuhiro Ogata
- Department of Biochemistry, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Rachel Sayuri Honjo
- Unidade de Genética Médica do Instituto da Criança, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Chong Ae Kim
- Unidade de Genética Médica do Instituto da Criança, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Satomi Mitsuhashi
- Department of Neurology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Martin C Frith
- Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
- Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Japan
- Computational Bio Big-Data Open Innovation Laboratory, AIST, Tokyo, Japan
| | - Rie Seyama
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
- Department of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan
| | - Naomi Tsuchida
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
- Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama, Japan
| | - Yuri Uchiyama
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
- Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama, Japan
| | - Eriko Koshimizu
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Kohei Hamanaka
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Kazuharu Misawa
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Satoko Miyatake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
- Department of Clinical Genetics, Yokohama City University Hospital, Yokohama, Japan
| | - Takeshi Mizuguchi
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Kuniaki Saito
- Department of Chromosome Science, National Institute of Genetics, Research Organization of Information and Systems (ROIS), Shizuoka, Japan
- Graduate Institute for Advanced Studies, SOKENDAI, Shizuoka, Japan
| | - Atsushi Fujita
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
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10
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Deciphering the exact breakpoints of structural variations using long sequencing reads with DeBreak. Nat Commun 2023; 14:283. [PMID: 36650186 PMCID: PMC9845341 DOI: 10.1038/s41467-023-35996-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 01/11/2023] [Indexed: 01/19/2023] Open
Abstract
Long-read sequencing has demonstrated great potential for characterizing all types of structural variations (SVs). However, existing algorithms have insufficient sensitivity and precision. To address these limitations, we present DeBreak, a computational method for comprehensive and accurate SV discovery. Based on alignment results, DeBreak employs a density-based approach for clustering SV candidates together with a local de novo assembly approach for reconstructing long insertions. A partial order alignment algorithm ensures precise SV breakpoints with single base-pair resolution, and a k-means clustering method can report multi-allele SV events. DeBreak outperforms existing tools on both simulated and real long-read sequencing data from both PacBio and Nanopore platforms. An important application of DeBreak is analyzing cancer genomes for potentially tumor-driving SVs. DeBreak can also be used for supplementing whole-genome assembly-based SV discovery.
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11
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Udine E, Jain A, van Blitterswijk M. Advances in sequencing technologies for amyotrophic lateral sclerosis research. Mol Neurodegener 2023; 18:4. [PMID: 36635726 PMCID: PMC9838075 DOI: 10.1186/s13024-022-00593-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/23/2022] [Indexed: 01/14/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is caused by upper and lower motor neuron loss and has a fairly rapid disease progression, leading to fatality in an average of 2-5 years after symptom onset. Numerous genes have been implicated in this disease; however, many cases remain unexplained. Several technologies are being used to identify regions of interest and investigate candidate genes. Initial approaches to detect ALS genes include, among others, linkage analysis, Sanger sequencing, and genome-wide association studies. More recently, next-generation sequencing methods, such as whole-exome and whole-genome sequencing, have been introduced. While those methods have been particularly useful in discovering new ALS-linked genes, methodological advances are becoming increasingly important, especially given the complex genetics of ALS. Novel sequencing technologies, like long-read sequencing, are beginning to be used to uncover the contribution of repeat expansions and other types of structural variation, which may help explain missing heritability in ALS. In this review, we discuss how popular and/or upcoming methods are being used to discover ALS genes, highlighting emerging long-read sequencing platforms and their role in aiding our understanding of this challenging disease.
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Affiliation(s)
- Evan Udine
- grid.417467.70000 0004 0443 9942Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL 32224 USA ,grid.417467.70000 0004 0443 9942Mayo Clinic Graduate School of Biomedical Sciences, 4500 San Pablo Road S, Jacksonville, FL 32224 USA
| | - Angita Jain
- grid.417467.70000 0004 0443 9942Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL 32224 USA ,grid.417467.70000 0004 0443 9942Mayo Clinic Graduate School of Biomedical Sciences, 4500 San Pablo Road S, Jacksonville, FL 32224 USA ,grid.417467.70000 0004 0443 9942Center for Clinical and Translational Sciences, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL 32224 USA
| | - Marka van Blitterswijk
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL, 32224, USA.
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12
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van Vliet EA, Hildebrand MS, Mills JD, Brennan GP, Eid T, Masino SA, Whittemore V, Bindila L, Wang KK, Patel M, Perucca P, Reid CA. A companion to the preclinical common data elements for genomics, transcriptomics, and epigenomics data in rodent epilepsy models. A report of the TASK3-WG4 omics working group of the ILAE/AES joint translational TASK force. Epilepsia Open 2022. [PMID: 35950645 DOI: 10.1002/epi4.12640] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 02/22/2022] [Indexed: 11/06/2022] Open
Abstract
The International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force established the TASK3 working groups to create common data elements (CDEs) for various preclinical epilepsy research disciplines. The aim of the CDEs is to improve the standardization of experimental designs across a range of epilepsy research-related methods. Here, we have generated CDE tables with key parameters and case report forms (CRFs) containing the essential contents of the study protocols for genomics, transcriptomics, and epigenomics in rodent models of epilepsy, with a specific focus on adult rats and mice. We discuss the important elements that need to be considered for genomics, transcriptomics, and epigenomics methodologies, providing a rationale for the parameters that should be collected. This is the first in a two-part series of omics papers with the second installment to cover proteomics, lipidomics, and metabolomics in adult rodents.
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Affiliation(s)
- Erwin A van Vliet
- Center for Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam UMC location University of Amsterdam, Department of (Neuro)Pathology, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Michael S Hildebrand
- Epilepsy Research Centre, Department of Medicine (Austin Health), The University of Melbourne, Heidelberg, Victoria, Australia
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - James D Mills
- Amsterdam UMC location University of Amsterdam, Department of (Neuro)Pathology, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Gary P Brennan
- UCD School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin, Dublin, Ireland
- FutureNeuro Research Centre, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Tore Eid
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Susan A Masino
- Neuroscience Program and Psychology Department, Life Sciences Center, Trinity College, Hartford, Connecticut, USA
| | - Vicky Whittemore
- Division of Neuroscience, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Laura Bindila
- Clinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center of the Johannes Gutenberg University of Mainz, Mainz, Germany
| | - Kevin K Wang
- Department of Emergency Medicine, Psychiatry and Neuroscience, University of Florida, Gainesville, Florida, USA
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, North Florida/South Georgia Veterans Health System, Gainesville, Florida, USA
| | - Manisha Patel
- Department of Pharmaceutical Sciences, University of Colorado, Aurora, Colorado, USA
| | - Piero Perucca
- Epilepsy Research Centre, Department of Medicine (Austin Health), The University of Melbourne, Heidelberg, Victoria, Australia
- Bladin-Berkovic Comprehensive Epilepsy Program, Austin Health, Heidelberg, Victoria, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Department of Neurology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Christopher A Reid
- Epilepsy Research Centre, Department of Medicine (Austin Health), The University of Melbourne, Heidelberg, Victoria, Australia
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
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13
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Rus CM, Weissensteiner T, Pereira C, Susnea I, Danquah BD, Morales Torres G, Rocha ME, Cozma C, Saravanakumar D, Mannepalli S, Kandaswamy KK, Di Bucchianico S, Zimmermann R, Rolfs A, Bauer P, Beetz C. Clinical and genetic characterization of a cohort of 97 CLN6 patients tested at a single center. Orphanet J Rare Dis 2022; 17:179. [PMID: 35505348 PMCID: PMC9066917 DOI: 10.1186/s13023-022-02288-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/14/2022] [Indexed: 11/29/2022] Open
Abstract
Background Ceroid lipofuscinoses neuronal 6 (CLN6) disease belongs to the neuronal ceroid lipofuscinoses (NCLs), complex and genetically heterogeneous disorders with wide geographical and phenotypic variation. The first clinical signs usually appear between 18 months and 8 years, but examples of later-onset have also been reported. Common manifestations include ataxia, seizures, vision impairment, and developmental regression. Because these are shared by other neurological diseases, identification of CLN6 genetic variants is imperative for early diagnosis. Results We present one of the largest cohorts to date of genetically diagnosed CLN6 patients screened at a single center. In total 97 subjects, originating from 20 countries were screened between 2010 and 2020. They comprised 86 late-infantile, eight juvenile, and three adult-onset cases (two patients with Kufs disease type A, and one with teenage progressive myoclonic epilepsy). The male to female ratio was 1.06: 1.00. The age at referral was between six months and 33 years. The time from disease onset to referral ranged from less than 1 month to 8.3 years. The clinical phenotype consisted of a combination of symptoms, as reported before. We characterized a total of 45 distinct variants defining 45 distinct genotypes. Twenty-four were novel variants, some with distinct geographic associations. Remarkably, c.257A > G (p.H86R) was present in five out of 23 unrelated Egyptian individuals but in no patients from other countries. The most common genotype was homozygosity for the c.794_796del in-frame deletion. It was present in about one-third of CLN6 patients (28 unrelated cases, and 2 familial cases), all with late-infantile onset. Variants with a high likelihood of causing loss of CLN6 function were found in 21% of cases and made up 33% of all distinct variants. Forty-four percent of variants were classified as pathogenic or likely pathogenic. Conclusions Our study significantly expands the number of published clinical cases and the mutational spectrum of disease-associated CLN6 variants, especially for the Middle Eastern and North African regions. We confirm previous observations regarding the most prevalent symptoms and recommend including CLN6 in the genetic diagnosis of patients presenting with early-onset abnormalities of the nervous system, musculoskeletal system, and eye.
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Affiliation(s)
- Corina-Marcela Rus
- Centogene GmbH, Am Strande 7, 18057, Rostock, Germany. .,Institute of Chemistry, University of Rostock, Dr.-Lorenz-Weg 2, 18059, Rostock, Germany.
| | | | | | | | | | | | | | - Claudia Cozma
- Centogene GmbH, Am Strande 7, 18057, Rostock, Germany
| | | | | | | | | | - Ralf Zimmermann
- Institute of Chemistry, University of Rostock, Dr.-Lorenz-Weg 2, 18059, Rostock, Germany.,Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Arndt Rolfs
- Centogene GmbH, Am Strande 7, 18057, Rostock, Germany.,Arcensus GmbH, Goethestrasse 20, 18055, Rostock, Germany
| | - Peter Bauer
- Centogene GmbH, Am Strande 7, 18057, Rostock, Germany.,Department of Medicine, Clinic III, Hematology, Oncology, Palliative Medicine, University of Rostock, Rostock, Germany
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14
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Danis D, Jacobsen JOB, Balachandran P, Zhu Q, Yilmaz F, Reese J, Haimel M, Lyon GJ, Helbig I, Mungall CJ, Beck CR, Lee C, Smedley D, Robinson PN. SvAnna: efficient and accurate pathogenicity prediction of coding and regulatory structural variants in long-read genome sequencing. Genome Med 2022; 14:44. [PMID: 35484572 PMCID: PMC9047340 DOI: 10.1186/s13073-022-01046-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 04/12/2022] [Indexed: 01/18/2023] Open
Abstract
Structural variants (SVs) are implicated in the etiology of Mendelian diseases but have been systematically underascertained owing to sequencing technology limitations. Long-read sequencing enables comprehensive detection of SVs, but approaches for prioritization of candidate SVs are needed. Structural variant Annotation and analysis (SvAnna) assesses all classes of SVs and their intersection with transcripts and regulatory sequences, relating predicted effects on gene function with clinical phenotype data. SvAnna places 87% of deleterious SVs in the top ten ranks. The interpretable prioritizations offered by SvAnna will facilitate the widespread adoption of long-read sequencing in diagnostic genomics. SvAnna is available at https://github.com/TheJacksonLaboratory/SvAnn a .
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Affiliation(s)
- Daniel Danis
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA
| | - Julius O. B. Jacobsen
- grid.4868.20000 0001 2171 1133William Harvey Research Institute, Charterhouse Square, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ UK
| | - Parithi Balachandran
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA
| | - Qihui Zhu
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA
| | - Feyza Yilmaz
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA
| | - Justin Reese
- grid.184769.50000 0001 2231 4551Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Matthias Haimel
- grid.511293.d0000 0004 6104 8403Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases, Vienna, Austria ,grid.416346.2St. Anna Children’s Cancer Research Institute, Vienna, Austria ,grid.418729.10000 0004 0392 6802CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria ,grid.486422.e0000000405446183Present address: Global Computational Biology and Digital Sciences, Boehringer Ingelheim Regional Center Vienna GmbH & Co KG, 1120 Vienna, Austria
| | - Gholson J. Lyon
- grid.420001.70000 0000 9813 9625Department of Human Genetics, New York State Institute for Basic Research in Developmental Disabilities, Staten Island, New York, USA ,grid.212340.60000000122985718Biology PhD Program, The Graduate Center, The City University of New York, New York, USA
| | - Ingo Helbig
- grid.239552.a0000 0001 0680 8770Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.239552.a0000 0001 0680 8770The Epilepsy NeuroGenetics Initiative (ENGIN), Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.239552.a0000 0001 0680 8770Department of Biomedical and Health Informatics (DBHi), Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Neurology, University of Pennsylvania, Philadelphia, PA USA
| | - Christopher J. Mungall
- grid.184769.50000 0001 2231 4551Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Christine R. Beck
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA ,grid.208078.50000000419370394Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT 06032 USA ,grid.63054.340000 0001 0860 4915Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269 USA
| | - Charles Lee
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA
| | - Damian Smedley
- grid.4868.20000 0001 2171 1133William Harvey Research Institute, Charterhouse Square, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ UK
| | - Peter N. Robinson
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA ,grid.208078.50000000419370394Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT 06032 USA
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15
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Duan X, Pan M, Fan S. Comprehensive evaluation of structural variant genotyping methods based on long-read sequencing data. BMC Genomics 2022; 23:324. [PMID: 35461238 PMCID: PMC9034514 DOI: 10.1186/s12864-022-08548-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 04/11/2022] [Indexed: 12/28/2022] Open
Abstract
Background Structural variants (SVs) play a crucial role in gene regulation, trait association, and disease in humans. SV genotyping has been extensively applied in genomics research and clinical diagnosis. Although a growing number of SV genotyping methods for long reads have been developed, a comprehensive performance assessment of these methods has yet to be done. Results Based on one simulated and three real SV datasets, we performed an in-depth evaluation of five SV genotyping methods, including cuteSV, LRcaller, Sniffles, SVJedi, and VaPoR. The results show that for insertions and deletions, cuteSV and LRcaller have similar F1 scores (cuteSV, insertions: 0.69–0.90, deletions: 0.77–0.90 and LRcaller, insertions: 0.67–0.87, deletions: 0.74–0.91) and are superior to other methods. For duplications, inversions, and translocations, LRcaller yields the most accurate genotyping results (0.84, 0.68, and 0.47, respectively). When genotyping SVs located in tandem repeat region or with imprecise breakpoints, cuteSV (insertions and deletions) and LRcaller (duplications, inversions, and translocations) are better than other methods. In addition, we observed a decrease in F1 scores when the SV size increased. Finally, our analyses suggest that the F1 scores of these methods reach the point of diminishing returns at 20× depth of coverage. Conclusions We present an in-depth benchmark study of long-read SV genotyping methods. Our results highlight the advantages and disadvantages of each genotyping method, which provide practical guidance for optimal application selection and prospective directions for tool improvement. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08548-y.
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Affiliation(s)
- Xiaoke Duan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200438, China.,MOE Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Mingpei Pan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200438, China.,MOE Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Shaohua Fan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200438, China.
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16
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Marsili L, Duque KR, Bode RL, Kauffman MA, Espay AJ. Uncovering Essential Tremor Genetics: The Promise of Long-Read Sequencing. Front Neurol 2022; 13:821189. [PMID: 35401394 PMCID: PMC8983820 DOI: 10.3389/fneur.2022.821189] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/25/2022] [Indexed: 12/23/2022] Open
Abstract
Long-read sequencing (LRS) technologies have been recently introduced to overcome intrinsic limitations of widely-used next-generation sequencing (NGS) technologies, namely the sequencing limited to short-read fragments (150–300 base pairs). Since its introduction, LRS has permitted many successes in unraveling hidden mutational mechanisms. One area in clinical neurology in need of rethinking as it applies to genetic mechanisms is essential tremor (ET). This disorder, among the most common in neurology, is a syndrome often exhibiting an autosomal dominant pattern of inheritance whose large phenotypic spectrum suggest a multitude of genetic etiologies. Exome sequencing has revealed the genetic etiology only in rare ET families (FUS, SORT1, SCN4A, NOS3, KCNS2, HAPLN4/BRAL2, and USP46). We hypothesize that a reason for this shortcoming may be non-classical genetic mechanism(s) underpinning ET, among them trinucleotide, tetranucleotide, or pentanucleotide repeat disorders. In support of this hypothesis, trinucleotide (e.g., GGC repeats in NOTCH2NLC) and pentanucleotide repeat disorders (e.g., ATTTC repeats in STARD7) have been revealed as pathogenic in patients with a past history of what has come to be referred to as “ET plus,” bilateral hand tremor associated with epilepsy and/or leukoencephalopathy. A systematic review of LRS in neurodegenerative disorders showed that 10 of the 22 (45%) genetic etiologies ascertained by LRS include tremor in their phenotypic spectrum, suggesting that future clinical applications of LRS for tremor disorders may uncover genetic subtypes of familial ET that have eluded NGS, particularly those with associated leukoencephalopathy or family history of epilepsy. LRS provides a pathway for potentially uncovering novel genes and genetic mechanisms, helping narrow the large proportion of “idiopathic” ET.
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Affiliation(s)
- Luca Marsili
- James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
| | - Kevin R. Duque
- James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
| | - Rachel L. Bode
- James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
| | - Marcelo A. Kauffman
- Consultorio y Laboratorio de Neurogenética, Centro Universitario de Neurología José María Ramos Mejía, Buenos Aires, Argentina
| | - Alberto J. Espay
- James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
- *Correspondence: Alberto J. Espay
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17
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Laine P, Rowell WJ, Paulin L, Kujawa S, Raterman D, Mayhew G, Wendt J, Burgess DL, Partonen T, Paunio T, Auvinen P, Ekholm JM. Alu element in the RNA binding motif protein, X-linked 2 (RBMX2) gene found to be linked to bipolar disorder. PLoS One 2021; 16:e0261170. [PMID: 34914762 PMCID: PMC8675739 DOI: 10.1371/journal.pone.0261170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 11/24/2021] [Indexed: 11/23/2022] Open
Abstract
Objective We have used long-read single molecule, real-time (SMRT) sequencing to fully characterize a ~12Mb genomic region on chromosome Xq24-q27, significantly linked to bipolar disorder (BD) in an extended family from a genetic sub-isolate. This family segregates BD in at least four generations with 24 affected individuals. Methods We selected 16 family members for targeted sequencing. The selected individuals either carried the disease haplotype, were non-carriers of the disease haplotype, or served as married-in controls. We designed hybrid capture probes enriching for 5-9Kb fragments spanning the entire 12Mb region that were then sequenced to screen for candidate structural variants (SVs) that could explain the increased risk for BD in this extended family. Results Altogether, 201 variants were detected in the critically linked region. Although most of these represented common variants, three variants emerged that showed near-perfect segregation among all BD type I affected individuals. Two of the SVs were identified in or near genes belonging to the RNA Binding Motif Protein, X-Linked (RBMX) gene family—a 330bp Alu (subfamily AluYa5) deletion in intron 3 of the RBMX2 gene and an intergenic 27bp tandem repeat deletion between the RBMX and G protein-coupled receptor 101 (GPR101) genes. The third SV was a 50bp tandem repeat insertion in intron 1 of the Coagulation Factor IX (F9) gene. Conclusions Among the three genetically linked SVs, additional evidence supported the Alu element deletion in RBMX2 as the leading candidate for contributing directly to the disease development of BD type I in this extended family.
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Affiliation(s)
- Pia Laine
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | | | - Lars Paulin
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Steve Kujawa
- Pacific Biosciences, Menlo Park, CA, United States of America
| | - Denise Raterman
- Roche Sequencing Solutions, Madison, WI, United States of America
| | - George Mayhew
- Roche Sequencing Solutions, Madison, WI, United States of America
| | - Jennifer Wendt
- Roche Sequencing Solutions, Madison, WI, United States of America
| | | | - Timo Partonen
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Tiina Paunio
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Helsinki, Helsinki, Finland
| | - Petri Auvinen
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Jenny M. Ekholm
- Pacific Biosciences, Menlo Park, CA, United States of America
- * E-mail:
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18
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Wu Z, Jiang Z, Li T, Xie C, Zhao L, Yang J, Ouyang S, Liu Y, Li T, Xie Z. Structural variants in the Chinese population and their impact on phenotypes, diseases and population adaptation. Nat Commun 2021; 12:6501. [PMID: 34764282 PMCID: PMC8586011 DOI: 10.1038/s41467-021-26856-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 10/21/2021] [Indexed: 02/05/2023] Open
Abstract
A complete characterization of genetic variation is a fundamental goal of human genome research. Long-read sequencing has improved the sensitivity of structural variant discovery. Here, we conduct the long-read sequencing-based structural variant analysis for 405 unrelated Chinese individuals, with 68 phenotypic and clinical measurements. We discover a landscape of 132,312 nonredundant structural variants, of which 45.2% are novel. The identified structural variants are of high-quality, with an estimated false discovery rate of 3.2%. The concatenated length of all the structural variants is approximately 13.2% of the human reference genome. We annotate 1,929 loss-of-function structural variants affecting the coding sequence of 1,681 genes. We discover rare deletions in HBA1/HBA2/HBB associated with anemia. Furthermore, we identify structural variants related to immunity which differentiate the northern and southern Chinese populations. Our study describes the landscape of structural variants in the Chinese population and their contribution to phenotypes and disease.
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Affiliation(s)
- Zhikun Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Zehang Jiang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Tong Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Chuanbo Xie
- Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China
| | - Jiaqi Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Shuai Ouyang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yizhi Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China.
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.
| | - Zhi Xie
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
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19
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Alehabib E, Esmaeilizadeh Z, Ranji-Burachaloo S, Tafakhori A, Darvish H, Movafagh A. Clinical and molecular spectrum of P/Q type calcium channel Cav2.1 in epileptic patients. Orphanet J Rare Dis 2021; 16:461. [PMID: 34727962 PMCID: PMC8562004 DOI: 10.1186/s13023-021-02101-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 10/24/2021] [Indexed: 11/24/2022] Open
Abstract
Background Epilepsy is a neurological disorder characterized by the potential to induce seizure and accompanied by cognitive, psychological, and social consequences. CACNA1A gene is a voltage-gated P/Q-type Cav2.1 channel that is broadly expressed in the central nervous system, and the pathogenic variants within this gene may be associated with the epileptic phenotype. In the present study, we collected clinical and molecular data related to epileptic patients with CACNA1A pathogenic variants and investigated possible meaningful relationship between age at onset, neurodevelopmental disorders, type of seizures, brain imaging abnormalities, genotype, and protein domains. Results In our retrospective literature studies, from among 890 articles reviewed, a total of 90 individuals were related to epilepsy phenotype. Our findings showed that about 90 percent of patients have shown the first symptoms in childhood and teenage years and different types of neurodevelopmental disorders, such as intellectual disability, developmental arrest, and behavioral disorders, have been common findings for these patients. Further, a wide range of abnormalities have been observed in their brain imaging, and generalized seizures have been the most type of seizures in these patients. However, our data showed no specific genotype–phenotype correlation in epileptic patients with CACNA1A pathogenic alterations. Conclusions Our study focused on epileptic phenotype in patients with CACNA1A pathogenic variants and showed a wide range of clinical and molecular heterogeneity with no specific genotype–phenotype correlation. It seems that incomplete penetrance, de-novo variants, and modifier genes are obstacles in predicting the clinical outcome. Supplementary Information The online version contains supplementary material available at 10.1186/s13023-021-02101-y.
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Affiliation(s)
- Elham Alehabib
- Student Research Committee, Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Esmaeilizadeh
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sakineh Ranji-Burachaloo
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Abbas Tafakhori
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Darvish
- Neuroscience Research Center, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Abolfazl Movafagh
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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20
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Long-read technologies identify a hidden inverted duplication in a family with choroideremia. HGG ADVANCES 2021; 2:100046. [PMID: 35047838 PMCID: PMC8756506 DOI: 10.1016/j.xhgg.2021.100046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 07/01/2021] [Indexed: 12/03/2022] Open
Abstract
The lack of molecular diagnoses in rare genetic diseases can be explained by limitations of current standard genomic technologies. Upcoming long-read techniques have complementary strengths to overcome these limitations, with a particular strength in identifying structural variants. By using optical genome mapping and long-read sequencing, we aimed to identify the pathogenic variant in a large family with X-linked choroideremia. In this family, aberrant splicing of exon 12 of the choroideremia gene CHM was detected in 2003, but the underlying genomic defect remained elusive. Optical genome mapping and long-read sequencing approaches now revealed an intragenic 1,752 bp inverted duplication including exon 12 and surrounding regions, located downstream of the wild-type copy of exon 12. Both breakpoint junctions were confirmed with Sanger sequencing and segregate with the X-linked inheritance in the family. The breakpoint junctions displayed sequence microhomology suggestive for an erroneous replication mechanism as the origin of the structural variant. The inverted duplication is predicted to result in a hairpin formation of the pre-mRNA with the wild-type exon 12, leading to exon skipping in the mature mRNA. The identified inverted duplication is deemed the hidden pathogenic cause of disease in this family. Our study shows that optical genome mapping and long-read sequencing have significant potential for the identification of (hidden) structural variants in rare genetic diseases.
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21
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p.Asn77Lys homozygous CLN6 mutation in two unrelated Japanese patients with Kufs disease, an adult onset neuronal ceroid lipofuscinosis. Clin Chim Acta 2021; 523:191-195. [PMID: 34597687 DOI: 10.1016/j.cca.2021.09.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 09/26/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND The neuronal ceroid lipofuscinosis (NCL) are a group of autosomal recessive neurodegenerative disorders that are characterized by the accumulation of ceroid lipofuscins. The NCLs are categorized into four classes based on the age of onset. Kufs disease is a rare adult-onset NCL caused by mutations in the CLN6 gene, which is rarely observed in the Japanese population. CASE We previously reported a case study on a patient with Kufs disease, whose parents had a consanguineous marriage. Later, we observed another unrelated patient with Kufs. Here we present the case and mutational gene report in patients with Kufs disease. CONCLUSIONS Gene analysis results of the first patient revealed a homozygous mutation c231C > G, p.Asn77Lys in exon 3 and a homozygous c.297 + 48 A > T mutation in intron 3 in the CLN6 gene. The Asn amino acid is perfectly conserved among species. In silico analysis showed that the mutation is predicted to be probably damaging. Moreover, the second patient with Kufs disease also had the same homozygous mutations. These data suggest that the missense mutation must be pathogenic. Furthermore, the patients had lived in the same district; therefore, they both potentially inherited the founder effect mutations.
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22
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Nisar H, Wajid B, Shahid S, Anwar F, Wajid I, Khatoon A, Sattar MU, Sadaf S. Whole-genome sequencing as a first-tier diagnostic framework for rare genetic diseases. Exp Biol Med (Maywood) 2021; 246:2610-2617. [PMID: 34521224 DOI: 10.1177/15353702211040046] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Rare diseases affect nearly 300 million people globally with most patients aged five or less. Traditional diagnostic approaches have provided much of the diagnosis; however, there are limitations. For instance, simply inadequate and untimely diagnosis adversely affects both the patient and their families. This review advocates the use of whole genome sequencing in clinical settings for diagnosis of rare genetic diseases by showcasing five case studies. These examples specifically describe the utilization of whole genome sequencing, which helped in providing relief to patients via correct diagnosis followed by use of precision medicine.
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Affiliation(s)
- Haseeb Nisar
- Office of Research, Innovation and Commercialization, University of Management and Technology, Lahore 54000, Pakistan.,School of Biochemistry & Biotechnology, University of the Punjab, Lahore 54000, Pakistan
| | - Bilal Wajid
- Department of Electrical Engineering, University of Engineering and Technology, Lahore 54000, Pakistan.,Ibn Sina Research & Development Division, Sabz-Qalam, Lahore 54000, Pakistan.,Department of Computer Sciences, University of Management and Technology, Lahore 54000, Pakistan
| | - Samiah Shahid
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore 54000, Pakistan
| | - Faria Anwar
- Out Patient Department, Mayo Hospital, Lahore 54000, Pakistan
| | - Imran Wajid
- Ibn Sina Research & Development Division, Sabz-Qalam, Lahore 54000, Pakistan
| | - Asia Khatoon
- School of Biochemistry & Biotechnology, University of the Punjab, Lahore 54000, Pakistan
| | - Mian Usman Sattar
- Institute of Social Sciences, Istanbul Commerce University, Istanbul, Turkey
| | - Saima Sadaf
- School of Biochemistry & Biotechnology, University of the Punjab, Lahore 54000, Pakistan
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23
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Maroilley T, Li X, Oldach M, Jean F, Stasiuk SJ, Tarailo-Graovac M. Deciphering complex genome rearrangements in C. elegans using short-read whole genome sequencing. Sci Rep 2021; 11:18258. [PMID: 34521941 PMCID: PMC8440550 DOI: 10.1038/s41598-021-97764-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 08/30/2021] [Indexed: 12/14/2022] Open
Abstract
Genomic rearrangements cause congenital disorders, cancer, and complex diseases in human. Yet, they are still understudied in rare diseases because their detection is challenging, despite the advent of whole genome sequencing (WGS) technologies. Short-read (srWGS) and long-read WGS approaches are regularly compared, and the latter is commonly recommended in studies focusing on genomic rearrangements. However, srWGS is currently the most economical, accurate, and widely supported technology. In Caenorhabditis elegans (C. elegans), such variants, induced by various mutagenesis processes, have been used for decades to balance large genomic regions by preventing chromosomal crossover events and allowing the maintenance of lethal mutations. Interestingly, those chromosomal rearrangements have rarely been characterized on a molecular level. To evaluate the ability of srWGS to detect various types of complex genomic rearrangements, we sequenced three balancer strains using short-read Illumina technology. As we experimentally validated the breakpoints uncovered by srWGS, we showed that, by combining several types of analyses, srWGS enables the detection of a reciprocal translocation (eT1), a free duplication (sDp3), a large deletion (sC4), and chromoanagenesis events. Thus, applying srWGS to decipher real complex genomic rearrangements in model organisms may help designing efficient bioinformatics pipelines with systematic detection of complex rearrangements in human genomes.
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Affiliation(s)
- Tatiana Maroilley
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Xiao Li
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Matthew Oldach
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Francesca Jean
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Susan J Stasiuk
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Maja Tarailo-Graovac
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada. .,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada.
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24
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Sabatella M, Mantere T, Waanders E, Neveling K, Mensenkamp AR, van Dijk F, Hehir‐Kwa JY, Derks R, Kwint M, O'Gorman L, Tropa Martins M, Gidding CEM, Lequin MH, Küsters B, Wesseling P, Nelen M, Biegel JA, Hoischen A, Jongmans MC, Kuiper RP. Optical genome mapping identifies a germline retrotransposon insertion in SMARCB1 in two siblings with atypical teratoid rhabdoid tumors. J Pathol 2021; 255:202-211. [PMID: 34231212 PMCID: PMC8519051 DOI: 10.1002/path.5755] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/28/2021] [Accepted: 07/04/2021] [Indexed: 11/29/2022]
Abstract
In a subset of pediatric cancers, a germline cancer predisposition is highly suspected based on clinical and pathological findings, but genetic evidence is lacking, which hampers genetic counseling and predictive testing in the families involved. We describe a family with two siblings born from healthy parents who were both neonatally diagnosed with atypical teratoid rhabdoid tumor (ATRT). This rare and aggressive pediatric tumor is associated with biallelic inactivation of SMARCB1, and in 30% of the cases, a predisposing germline mutation is involved. Whereas the tumors of both siblings showed loss of expression of SMARCB1 and acquired homozygosity of the locus, whole exome and whole genome sequencing failed to identify germline or somatic SMARCB1 pathogenic mutations. We therefore hypothesized that the insertion of a pathogenic repeat‐rich structure might hamper its detection, and we performed optical genome mapping (OGM) as an alternative strategy to identify structural variation in this locus. Using this approach, an insertion of ~2.8 kb within intron 2 of SMARCB1 was detected. Long‐range PCR covering this region remained unsuccessful, but PacBio HiFi genome sequencing identified this insertion to be a SINE‐VNTR‐Alu, subfamily E (SVA‐E) retrotransposon element, which was present in a mosaic state in the mother. This SVA‐E insertion disrupts correct splicing of the gene, resulting in loss of a functional allele. This case demonstrates the power of OGM and long‐read sequencing to identify genomic variations in high‐risk cancer‐predisposing genes that are refractory to detection with standard techniques, thereby completing the clinical and molecular diagnosis of such complex cases and greatly improving counseling and surveillance of the families involved. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
| | - Tuomo Mantere
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Radboud Institute of Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit and Biocenter OuluUniversity of OuluOuluFinland
| | - Esmé Waanders
- Department of GeneticsUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Kornelia Neveling
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
| | - Arjen R Mensenkamp
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Radboud Institute of Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Freerk van Dijk
- Princess Máxima Centre for Pediatric OncologyUtrechtThe Netherlands
| | | | - Ronnie Derks
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Radboud Institute of Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Michael Kwint
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Radboud Institute of Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Luke O'Gorman
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Radboud Institute of Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | | | | | - Maarten H Lequin
- Department of RadiologyUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Benno Küsters
- Department of PathologyRadboud University Medical CenterNijmegenThe Netherlands
| | - Pieter Wesseling
- Princess Máxima Centre for Pediatric OncologyUtrechtThe Netherlands
- Department of PathologyAmsterdam University Medical Centers, Location VUmc and Brain Tumor Center AmsterdamAmsterdamThe Netherlands
| | - Marcel Nelen
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Radboud Institute of Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Jacklyn A Biegel
- Department of Pathology and Laboratory MedicineChildren's Hospital, Los AngelesLos AngelesCAUSA
- Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Alexander Hoischen
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Radboud Institute of Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI)Radboud University Medical CenterNijmegenThe Netherlands
| | - Marjolijn C Jongmans
- Princess Máxima Centre for Pediatric OncologyUtrechtThe Netherlands
- Department of GeneticsUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Roland P Kuiper
- Princess Máxima Centre for Pediatric OncologyUtrechtThe Netherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
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25
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Savarese M, Qureshi T, Torella A, Laine P, Giugliano T, Jonson PH, Johari M, Paulin L, Piluso G, Auvinen P, Nigro V, Udd B, Hackman P. Identification and Characterization of Splicing Defects by Single-Molecule Real-Time Sequencing Technology (PacBio). J Neuromuscul Dis 2021; 7:477-481. [PMID: 32597815 DOI: 10.3233/jnd-200523] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Although DNA-sequencing is the most effective procedure to achieve a molecular diagnosis in genetic diseases, complementary RNA analyses are often required.Reverse-Transcription polymerase chain reaction (RT-PCR) is still a valuable option when the clinical phenotype and/or available DNA-test results address the diagnosis toward a gene of interest or when the splicing effect of a single variant needs to be assessed.We use Single-Molecule Real-Time sequencing to detect and characterize splicing defects and single nucleotide variants in well-known disease genes (DMD, NF1, TTN). After proper optimization, the procedure could be used in the diagnostic setting, simplifying the workflow of cDNA analysis.
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Affiliation(s)
- Marco Savarese
- Folkhälsan Research Center, Helsinki, Finland.,Department of Medical Genetics, Medicum, University of Helsinki, Helsinki, Finland
| | - Talha Qureshi
- Folkhälsan Research Center, Helsinki, Finland.,Department of Medical Genetics, Medicum, University of Helsinki, Helsinki, Finland
| | - Annalaura Torella
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.,Telethon Institute of Genetics and Medicine, Pozzuoli, Italy
| | - Pia Laine
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Teresa Giugliano
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy
| | - Per Harald Jonson
- Folkhälsan Research Center, Helsinki, Finland.,Department of Medical Genetics, Medicum, University of Helsinki, Helsinki, Finland
| | - Mridul Johari
- Folkhälsan Research Center, Helsinki, Finland.,Department of Medical Genetics, Medicum, University of Helsinki, Helsinki, Finland
| | - Lars Paulin
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Giulio Piluso
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy
| | - Petri Auvinen
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Vincenzo Nigro
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.,Telethon Institute of Genetics and Medicine, Pozzuoli, Italy
| | - Bjarne Udd
- Folkhälsan Research Center, Helsinki, Finland.,Department of Medical Genetics, Medicum, University of Helsinki, Helsinki, Finland.,Vaasa Central Hospital, Vaasa, Finland
| | - Peter Hackman
- Folkhälsan Research Center, Helsinki, Finland.,Department of Medical Genetics, Medicum, University of Helsinki, Helsinki, Finland
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26
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Guo M, Li S, Zhou Y, Li M, Wen Z. Comparative Analysis for the Performance of Long-Read-Based Structural Variation Detection Pipelines in Tandem Repeat Regions. Front Pharmacol 2021; 12:658072. [PMID: 34163355 PMCID: PMC8215501 DOI: 10.3389/fphar.2021.658072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 05/14/2021] [Indexed: 12/04/2022] Open
Abstract
There has been growing recognition of the vital links between structural variations (SVs) and diverse diseases. Research suggests that, with much longer DNA fragments and abundant contextual information, long-read technologies have advantages in SV detection even in complex repetitive regions. So far, several pipelines for calling SVs from long-read sequencing data have been proposed and used in human genome research. However, the performance of these pipelines is still lack of deep exploration and adequate comparison. In this study, we comprehensively evaluated the performance of three commonly used long-read SV detection pipelines, namely PBSV, Sniffles and PBHoney, especially the performance on detecting the SVs in tandem repeat regions (TRRs). Evaluated by using a robust benchmark for germline SV detection as the gold standard, we thoroughly estimated the precision, recall and F1 score of insertions and deletions detected by the pipelines. Our results revealed that all these pipelines clearly exhibited better performance outside TRRs than that in TRRs. The F1 scores of Sniffles in and outside TRRs were 0.60 and 0.76, respectively. The performance of PBSV was similar to that of Sniffles, and was generally higher than that of PBHoney. In conclusion, our findings can be benefit for choosing the appropriate pipelines in real practice and are good complementary to the application of long-read sequencing technologies in the research of rare diseases.
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Affiliation(s)
- Mingkun Guo
- College of Chemistry, Sichuan University, Chengdu, China
| | - Shihai Li
- College of Chemistry, Sichuan University, Chengdu, China
| | - Yifan Zhou
- College of Chemistry, Sichuan University, Chengdu, China
| | - Menglong Li
- College of Chemistry, Sichuan University, Chengdu, China
| | - Zhining Wen
- College of Chemistry, Sichuan University, Chengdu, China.,Medical Big Data Center, Sichuan University, Chengdu, China
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27
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Mizuguchi T, Toyota T, Miyatake S, Mitsuhashi S, Doi H, Kudo Y, Kishida H, Hayashi N, Tsuburaya RS, Kinoshita M, Fukuyama T, Fukuda H, Koshimizu E, Tsuchida N, Uchiyama Y, Fujita A, Takata A, Miyake N, Kato M, Tanaka F, Adachi H, Matsumoto N. Complete sequencing of expanded SAMD12 repeats by long-read sequencing and Cas9-mediated enrichment. Brain 2021; 144:1103-1117. [PMID: 33791773 DOI: 10.1093/brain/awab021] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 11/02/2020] [Accepted: 11/17/2020] [Indexed: 11/14/2022] Open
Abstract
A pentanucleotide TTTCA repeat insertion into a polymorphic TTTTA repeat element in SAMD12 causes benign adult familial myoclonic epilepsy. Although the precise determination of the entire SAMD12 repeat sequence is important for molecular diagnosis and research, obtaining this sequence remains challenging when using conventional genomic/genetic methods, and even short-read and long-read next-generation sequencing technologies have been insufficient. Incomplete information regarding expanded repeat sequences may hamper our understanding of the pathogenic roles played by varying numbers of repeat units, genotype-phenotype correlations, and mutational mechanisms. Here, we report a new approach for the precise determination of the entire expanded repeat sequence and present a workflow designed to improve the diagnostic rates in various repeat expansion diseases. We examined 34 clinically diagnosed benign adult familial myoclonic epilepsy patients, from 29 families using repeat-primed PCR, Southern blot, and long-read sequencing with Cas9-mediated enrichment. Two cases with questionable results from repeat-primed PCR and/or Southern blot were confirmed as pathogenic using long-read sequencing with Cas9-mediated enrichment, resulting in the identification of pathogenic SAMD12 repeat expansions in 76% of examined families (22/29). Importantly, long-read sequencing with Cas9-mediated enrichment was able to provide detailed information regarding the sizes, configurations, and compositions of the expanded repeats. The inserted TTTCA repeat size and the proportion of TTTCA sequences among the overall repeat sequences were highly variable, and a novel repeat configuration was identified. A genotype-phenotype correlation study suggested that the insertion of even short (TTTCA)14 repeats contributed to the development of benign adult familial myoclonic epilepsy. However, the sizes of the overall TTTTA and TTTCA repeat units are also likely to be involved in the pathology of benign adult familial myoclonic epilepsy. Seven unsolved SAMD12-negative cases were investigated using whole-genome long-read sequencing, and infrequent, disease-associated, repeat expansions were identified in two cases. The strategic workflow resolved two questionable SAMD12-positive cases and two previously SAMD12-negative cases, increasing the diagnostic yield from 69% (20/29 families) to 83% (24/29 families). This study indicates the significant utility of long-read sequencing technologies to explore the pathogenic contributions made by various repeat units in complex repeat expansions and to improve the overall diagnostic rate.
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Affiliation(s)
- Takeshi Mizuguchi
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Tomoko Toyota
- Department of Neurology, University of Occupational and Environmental Health School of Medicine, Kitakyushu 807-8555, Japan
| | - Satoko Miyatake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan.,Clinical Genetics Department, Yokohama City University Hospital, Yokohama 236-0004, Japan
| | - Satomi Mitsuhashi
- Department of Genomic Function and Diversity, Medical Research Institute Tokyo Medical and Dental University, Tokyo 113-8510, Japan
| | - Hiroshi Doi
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Yosuke Kudo
- Department of Neurology, Yokohama Brain and Spine Center, Yokohama 235-0012, Japan
| | - Hitaru Kishida
- Department of Neurology, Yokohama City University Medical Center, Yokohama 232-0024, Japan
| | - Noriko Hayashi
- Department of Neurology, Yamato Municipal Hospital, Yamato 242-8602, Japan
| | - Rie S Tsuburaya
- Department of Pediatric Neurology, National Hospital Organization Utano National Hospital, Kyoto 616-8255, Japan
| | - Masako Kinoshita
- Department of Neurology, National Hospital Organization Utano National Hospital, Kyoto 616-8255, Japan
| | - Tetsuhiro Fukuyama
- Department of Pediatrics, Shinshu University School of Medicine, Matsumoto 390-8621, Japan
| | - Hiromi Fukuda
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan.,Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Eriko Koshimizu
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Naomi Tsuchida
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Yuri Uchiyama
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Atsushi Fujita
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Atsushi Takata
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Noriko Miyake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Mitsuhiro Kato
- Department of Pediatrics, Showa University School of Medicine, Tokyo 142-8666, Japan
| | - Fumiaki Tanaka
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Hiroaki Adachi
- Department of Neurology, University of Occupational and Environmental Health School of Medicine, Kitakyushu 807-8555, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
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Alston CL, Stenton SL, Hudson G, Prokisch H, Taylor RW. The genetics of mitochondrial disease: dissecting mitochondrial pathology using multi-omic pipelines. J Pathol 2021; 254:430-442. [PMID: 33586140 PMCID: PMC8600955 DOI: 10.1002/path.5641] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/07/2021] [Accepted: 02/09/2021] [Indexed: 12/12/2022]
Abstract
Mitochondria play essential roles in numerous metabolic pathways including the synthesis of adenosine triphosphate through oxidative phosphorylation. Clinically, mitochondrial diseases occur when there is mitochondrial dysfunction – manifesting at any age and affecting any organ system; tissues with high energy requirements, such as muscle and the brain, are often affected. The clinical heterogeneity is parallel to the degree of genetic heterogeneity associated with mitochondrial dysfunction. Around 10% of human genes are predicted to have a mitochondrial function, and defects in over 300 genes are reported to cause mitochondrial disease. Some involve the mitochondrial genome (mtDNA), but the vast majority occur within the nuclear genome. Except for a few specific genetic defects, there remains no cure for mitochondrial diseases, which means that a genetic diagnosis is imperative for genetic counselling and the provision of reproductive options for at‐risk families. Next‐generation sequencing strategies, particularly exome and whole‐genome sequencing, have revolutionised mitochondrial diagnostics such that the traditional muscle biopsy has largely been replaced with a minimally‐invasive blood sample for an unbiased approach to genetic diagnosis. Where these genomic approaches have not identified a causative defect, or where there is insufficient support for pathogenicity, additional functional investigations are required. The application of supplementary ‘omics’ technologies, including transcriptomics, proteomics, and metabolomics, has the potential to greatly improve diagnostic strategies. This review aims to demonstrate that whilst a molecular diagnosis can be achieved for many cases through next‐generation sequencing of blood DNA, the use of patient tissues and an integrated, multidisciplinary multi‐omics approach is pivotal for the diagnosis of more challenging cases. Moreover, the analysis of clinically relevant tissues from affected individuals remains crucial for understanding the molecular mechanisms underlying mitochondrial pathology. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Charlotte L Alston
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.,NHS Highly Specialised Services for Rare Mitochondrial Disorders, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Sarah L Stenton
- Institute of Human Genetics, Technische Universität München, München, Germany.,Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gavin Hudson
- Wellcome Centre for Mitochondrial Research, Bioscience Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Holger Prokisch
- Institute of Human Genetics, Technische Universität München, München, Germany.,Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Robert W Taylor
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.,NHS Highly Specialised Services for Rare Mitochondrial Disorders, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
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29
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Sheck LHN, Esposti SD, Mahroo OA, Arno G, Pontikos N, Wright G, Webster AR, Khan KN, Michaelides M. Panel-based genetic testing for inherited retinal disease screening 176 genes. Mol Genet Genomic Med 2021; 9:e1663. [PMID: 33749171 PMCID: PMC8683638 DOI: 10.1002/mgg3.1663] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 01/19/2021] [Accepted: 02/10/2021] [Indexed: 11/14/2022] Open
Abstract
Background This case series reports the performance of a next‐generation sequencing (NGS) panel of 176 retinal genes (NGS 176) in patients with inherited retinal disease (IRD). Methods Subjects are patients who underwent genetic testing between 1 August 2016 and 1 January 2018 at Moorfields Eye Hospital, London, UK. Panel‐based genetic testing was performed unless a specific gene (e.g., RS1) or small group of genes (e.g., ABCA4, PRPH2) were suspected. If a novel variant was identified, a further comment on their predicted pathogenicity and evolutionary conservation was offered and segregation studies performed. The main outcome measure is the likelihood of obtaining a genetic diagnosis using NGS 176. Results 488 patients were included. A molecular diagnosis was obtained for 59.4% of patients. Younger patients were more likely to receive a molecular diagnosis; with 92% of children under the age of 6 years receiving a conclusive result. There was a change in their initially assigned inheritance pattern in 8.4% of patients following genetic testing. Selected IRD diagnoses (e.g., achromatopsia, congenital stationary night blindness) were associated with high diagnostic yields. Conclusion This study confirms that NGS 176 is a useful first‐tier genetic test for most IRD patients. Age and initial clinical diagnosis were strongly associated with diagnostic yield.
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Affiliation(s)
- Leo H N Sheck
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.,Auckland District Health Board, Auckland, New Zealand
| | - Simona D Esposti
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.,UCL Institute of Ophthalmology, University College London, London, UK
| | - Omar A Mahroo
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.,UCL Institute of Ophthalmology, University College London, London, UK
| | - Gavin Arno
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.,UCL Institute of Ophthalmology, University College London, London, UK
| | - Nikolas Pontikos
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.,UCL Institute of Ophthalmology, University College London, London, UK
| | - Genevieve Wright
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.,UCL Institute of Ophthalmology, University College London, London, UK
| | - Andrew R Webster
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.,UCL Institute of Ophthalmology, University College London, London, UK
| | | | - Michel Michaelides
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.,UCL Institute of Ophthalmology, University College London, London, UK
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30
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Begum G, Albanna A, Bankapur A, Nassir N, Tambi R, Berdiev BK, Akter H, Karuvantevida N, Kellam B, Alhashmi D, Sung WWL, Thiruvahindrapuram B, Alsheikh-Ali A, Scherer SW, Uddin M. Long-Read Sequencing Improves the Detection of Structural Variations Impacting Complex Non-Coding Elements of the Genome. Int J Mol Sci 2021; 22:2060. [PMID: 33669700 PMCID: PMC7923155 DOI: 10.3390/ijms22042060] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/21/2021] [Accepted: 01/27/2021] [Indexed: 12/17/2022] Open
Abstract
The advent of long-read sequencing offers a new assessment method of detecting genomic structural variation (SV) in numerous rare genetic diseases. For autism spectrum disorders (ASD) cases where pathogenic variants fail to be found in the protein-coding genic regions along chromosomes, we proposed a scalable workflow to characterize the risk factor of SVs impacting non-coding elements of the genome. We applied whole-genome sequencing on an Emirati family having three children with ASD using long and short-read sequencing technology. A series of analytical pipelines were established to identify a set of SVs with high sensitivity and specificity. At 15-fold coverage, we observed that long-read sequencing technology (987 variants) detected a significantly higher number of SVs when compared to variants detected using short-read technology (509 variants) (p-value < 1.1020 × 10-57). Further comparison showed 97.9% of long-read sequencing variants were spanning within the 1-100 kb size range (p-value < 9.080 × 10-67) and impacting over 5000 genes. Moreover, long-read variants detected 604 non-coding RNAs (p-value < 9.02 × 10-9), comprising 58% microRNA, 31.9% lncRNA, and 9.1% snoRNA. Even at low coverage, long-read sequencing has shown to be a reliable technology in detecting SVs impacting complex elements of the genome.
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Affiliation(s)
- Ghausia Begum
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
| | - Ammar Albanna
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
- Department of Psychiatry, Al Jalila Children’s Specialty Hospital, Dubai 7662, United Arab Emirates
| | - Asma Bankapur
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
| | - Nasna Nassir
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
| | - Richa Tambi
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
| | - Bakhrom K. Berdiev
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
| | - Hosneara Akter
- Genetics and Genomic Medicine Centre, NeuroGen Children’s Healthcare, Dhaka 1205, Bangladesh;
- Department of Biochemistry and Molecular Biology, Dhaka University, Dhaka 1000, Bangladesh
| | - Noushad Karuvantevida
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
- Department of Biotechnology, Bharathidasan University, Tiruchirappalli 620024, India
| | - Barbara Kellam
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5S 1A1, Canada; (B.K.); (W.W.L.S.); (B.T.)
| | - Deena Alhashmi
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
| | - Wilson W. L. Sung
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5S 1A1, Canada; (B.K.); (W.W.L.S.); (B.T.)
| | - Bhooma Thiruvahindrapuram
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5S 1A1, Canada; (B.K.); (W.W.L.S.); (B.T.)
| | - Alawi Alsheikh-Ali
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
| | - Stephen W. Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5S 1A1, Canada; (B.K.); (W.W.L.S.); (B.T.)
- Department of Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- McLaughlin Centre and Department of Molecular Genetics, University of Toronto, Toronto, ON M5S, Canada
| | - Mohammed Uddin
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates; (G.B.); (A.A.); (A.B.); (N.N.); (R.T.); (B.K.B.); (N.K.); (D.A.); (A.A.-A.)
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31
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Ohori S, Tsuburaya RS, Kinoshita M, Miyagi E, Mizuguchi T, Mitsuhashi S, Frith MC, Matsumoto N. Long-read whole-genome sequencing identified a partial MBD5 deletion in an exome-negative patient with neurodevelopmental disorder. J Hum Genet 2021; 66:697-705. [PMID: 33510365 DOI: 10.1038/s10038-020-00893-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 11/02/2020] [Accepted: 11/09/2020] [Indexed: 12/14/2022]
Abstract
Whole-exome sequencing (WES) can detect not only single-nucleotide variants in causal genes, but also pathogenic copy-number variations using several methods. However, there may be overlooked pathogenic variations in the out of target genome regions of WES analysis (e.g., promoters), leaving many patients undiagnosed. Whole-genome sequencing (WGS) can potentially analyze such regions. We applied long-read nanopore WGS and our recently developed analysis pipeline "dnarrange" to a patient who was undiagnosed by trio-based WES analysis, and identified a heterozygous 97-kb deletion partially involving 5'-untranslated exons of MBD5, which was outside the WES target regions. The phenotype of the patient, a 32-year-old male, was consistent with haploinsufficiency of MBD5. The transcript level of MBD5 in the patient's lymphoblastoid cells was reduced. We therefore concluded that the partial MBD5 deletion is the culprit for this patient. Furthermore, we found other rare structural variations (SVs) in this patient, i.e., a large inversion and a retrotransposon insertion, which were not seen in 33 controls. Although we considered that they are benign SVs, this finding suggests that our pipeline using long-read WGS is useful for investigating various types of potentially pathogenic SVs. In conclusion, we identified a 97-kb deletion, which causes haploinsufficiency of MBD5 in a patient with neurodevelopmental disorder, demonstrating that long-read WGS is a powerful technique to discover pathogenic SVs.
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Affiliation(s)
- Sachiko Ohori
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004, Japan.,Department of Obstetrics and Gynecology, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Rie S Tsuburaya
- Department of Pediatric Neurology, National Hospital Organization Utano National Hospital, 8 Ondoyamacho, Ukyo-ku, Kyoto, 616-8255, Japan
| | - Masako Kinoshita
- Department of Neurology, National Hospital Organization Utano National Hospital, 8 Ondoyamacho, Ukyo-ku, Kyoto, 616-8255, Japan
| | - Etsuko Miyagi
- Department of Obstetrics and Gynecology, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Takeshi Mizuguchi
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004, Japan
| | - Satomi Mitsuhashi
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004, Japan
| | - Martin C Frith
- Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Koto-ku, Tokyo, Japan.,Graduate School of Frontier Sciences, University of Tokyo, Kashiwa-city, Chiba, Japan.,Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), AIST, Shinjuku-ku, Tokyo, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004, Japan.
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32
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Pathogenic 12-kb copy-neutral inversion in syndromic intellectual disability identified by high-fidelity long-read sequencing. Genomics 2020; 113:1044-1053. [PMID: 33157260 DOI: 10.1016/j.ygeno.2020.10.038] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/08/2020] [Accepted: 10/31/2020] [Indexed: 01/07/2023]
Abstract
We report monozygotic twin girls with syndromic intellectual disability who underwent exome sequencing but with negative pathogenic variants. To search for variants that are unrecognized by exome sequencing, high-fidelity long-read genome sequencing (HiFi LR-GS) was applied. A 12-kb copy-neutral inversion was precisely identified by HiFi LR-GS after trio-based variant filtering. This inversion directly disrupted two genes, CPNE9 and BRPF1, the latter of which attracted our attention because pathogenic BRPF1 variants have been identified in autosomal dominant intellectual developmental disorder with dysmorphic facies and ptosis (IDDDFP), which later turned out to be clinically found in the twins. Trio-based HiFi LR-GS together with haplotype phasing revealed that the 12-kb inversion occurred de novo on the maternally transmitted chromosome. This study clearly indicates that submicroscopic copy-neutral inversions are important but often uncharacterized culprits in monogenic disorders and that long-read sequencing is highly advantageous for detecting such inversions involved in genetic diseases.
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33
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SoRelle JA, Wachsmann M, Cantarel BL. Assembling and Validating Bioinformatic Pipelines for Next-Generation Sequencing Clinical Assays. Arch Pathol Lab Med 2020; 144:1118-1130. [PMID: 32045276 DOI: 10.5858/arpa.2019-0476-ra] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2019] [Indexed: 11/06/2022]
Abstract
CONTEXT.— Clinical next-generation sequencing (NGS) is being rapidly adopted, but analysis and interpretation of large data sets prompt new challenges for a clinical laboratory setting. Clinical NGS results rely heavily on the bioinformatics pipeline for identifying genetic variation in complex samples. The choice of bioinformatics algorithms, genome assembly, and genetic annotation databases are important for determining genetic alterations associated with disease. The analysis methods are often tuned to the assay to maximize accuracy. Once a pipeline has been developed, it must be validated to determine accuracy and reproducibility for samples similar to real-world cases. In silico proficiency testing or institutional data exchange will ensure consistency among clinical laboratories. OBJECTIVE.— To provide molecular pathologists a step-by-step guide to bioinformatics analysis and validation design in order to navigate the regulatory and validation standards of implementing a bioinformatic pipeline as a part of a new clinical NGS assay. DATA SOURCES.— This guide uses published studies on genomic analysis, bioinformatics methods, and methods comparison studies to inform the reader on what resources, including open source software tools and databases, are available for genetic variant detection and interpretation. CONCLUSIONS.— This review covers 4 key concepts: (1) bioinformatic analysis design for detecting genetic variation, (2) the resources for assessing genetic effects, (3) analysis validation assessment experiments and data sets, including a diverse set of samples to mimic real-world challenges that assess accuracy and reproducibility, and (4) if concordance between clinical laboratories will be improved by proficiency testing designed to test bioinformatic pipelines.
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Affiliation(s)
- Jeffrey A SoRelle
- Department of Pathology (SoRelle, Wachsmann), University of Texas Southwestern Medical Center, Dallas
| | - Megan Wachsmann
- Department of Pathology (SoRelle, Wachsmann), University of Texas Southwestern Medical Center, Dallas
| | - Brandi L Cantarel
- Bioinformatics Core Facility (Cantarel), University of Texas Southwestern Medical Center, Dallas.,Department of Bioinformatics (Cantarel), University of Texas Southwestern Medical Center, Dallas.,University of Texas Southwestern Medical Center, Dallas
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34
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Logsdon GA, Vollger MR, Eichler EE. Long-read human genome sequencing and its applications. Nat Rev Genet 2020; 21:597-614. [PMID: 32504078 PMCID: PMC7877196 DOI: 10.1038/s41576-020-0236-x] [Citation(s) in RCA: 439] [Impact Index Per Article: 109.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2020] [Indexed: 12/27/2022]
Abstract
Over the past decade, long-read, single-molecule DNA sequencing technologies have emerged as powerful players in genomics. With the ability to generate reads tens to thousands of kilobases in length with an accuracy approaching that of short-read sequencing technologies, these platforms have proven their ability to resolve some of the most challenging regions of the human genome, detect previously inaccessible structural variants and generate some of the first telomere-to-telomere assemblies of whole chromosomes. Long-read sequencing technologies will soon permit the routine assembly of diploid genomes, which will revolutionize genomics by revealing the full spectrum of human genetic variation, resolving some of the missing heritability and leading to the discovery of novel mechanisms of disease.
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Affiliation(s)
- Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
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35
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Sakamoto Y, Xu L, Seki M, Yokoyama TT, Kasahara M, Kashima Y, Ohashi A, Shimada Y, Motoi N, Tsuchihara K, Kobayashi SS, Kohno T, Shiraishi Y, Suzuki A, Suzuki Y. Long-read sequencing for non-small-cell lung cancer genomes. Genome Res 2020; 30:1243-1257. [PMID: 32887687 PMCID: PMC7545141 DOI: 10.1101/gr.261941.120] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 04/09/2020] [Indexed: 12/23/2022]
Abstract
Here, we report the application of a long-read sequencer, PromethION, for analyzing human cancer genomes. We first conducted whole-genome sequencing on lung cancer cell lines. We found that it is possible to genotype known cancerous mutations, such as point mutations. We also found that long-read sequencing is particularly useful for precisely identifying and characterizing structural aberrations, such as large deletions, gene fusions, and other chromosomal rearrangements. In addition, we identified several medium-sized structural aberrations consisting of complex combinations of local duplications, inversions, and microdeletions. These complex mutations occurred even in key cancer-related genes, such as STK11, NF1, SMARCA4, and PTEN. The biological relevance of those mutations was further revealed by epigenome, transcriptome, and protein analyses of the affected signaling pathways. Such structural aberrations were also found in clinical lung adenocarcinoma specimens. Those structural aberrations were unlikely to be reliably detected by conventional short-read sequencing. Therefore, long-read sequencing may contribute to understanding the molecular etiology of patients for whom causative cancerous mutations remain unknown and therapeutic strategies are elusive.
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Affiliation(s)
- Yoshitaka Sakamoto
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Liu Xu
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Masahide Seki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Toshiyuki T Yokoyama
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Masahiro Kasahara
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Yukie Kashima
- Division of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan.,Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Akihiro Ohashi
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Yoko Shimada
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Noriko Motoi
- Department of Pathology, National Cancer Center Hospital, Tokyo 104-0045, Japan
| | - Katsuya Tsuchihara
- Division of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Susumu S Kobayashi
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Yuichi Shiraishi
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Ayako Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan.,Division of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
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36
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Hartley T, Lemire G, Kernohan KD, Howley HE, Adams DR, Boycott KM. New Diagnostic Approaches for Undiagnosed Rare Genetic Diseases. Annu Rev Genomics Hum Genet 2020; 21:351-372. [DOI: 10.1146/annurev-genom-083118-015345] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Accurate diagnosis is the cornerstone of medicine; it is essential for informed care and promoting patient and family well-being. However, families with a rare genetic disease (RGD) often spend more than five years on a diagnostic odyssey of specialist visits and invasive testing that is lengthy, costly, and often futile, as 50% of patients do not receive a molecular diagnosis. The current diagnostic paradigm is not well designed for RGDs, especially for patients who remain undiagnosed after the initial set of investigations, and thus requires an expansion of approaches in the clinic. Leveraging opportunities to participate in research programs that utilize new technologies to understand RGDs is an important path forward for patients seeking a diagnosis. Given recent advancements in such technologies and international initiatives, the prospect of identifying a molecular diagnosis for all patients with RGDs has never been so attainable, but achieving this goal will require global cooperation at an unprecedented scale.
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Affiliation(s)
- Taila Hartley
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
| | - Gabrielle Lemire
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
- Department of Genetics, CHEO, Ottawa, Ontario K1H 8L1, Canada
| | - Kristin D. Kernohan
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
- Newborn Screening Ontario, CHEO, Ottawa, Ontario K1H 9M8, Canada
| | - Heather E. Howley
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
| | - David R. Adams
- Office of the Clinical Director, National Human Genome Research Institute and Undiagnosed Diseases Program, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Kym M. Boycott
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
- Department of Genetics, CHEO, Ottawa, Ontario K1H 8L1, Canada
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37
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Sun J, Sun X, Li Z, Ma D, Lv Y. An elongated tract of polyQ in the carboxyl‑terminus of human α1A calcium channel induces cell apoptosis by nuclear translocation. Oncol Rep 2020; 44:156-164. [PMID: 32626992 PMCID: PMC7251683 DOI: 10.3892/or.2020.7592] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 03/05/2020] [Indexed: 12/18/2022] Open
Abstract
An aberrant elongated tract of glutamine residues (polyQ) in proteins induces multiple diseases treated in the clinic. In our previous study of progressive myoclonic epilepsy (PME), using whole-exome sequencing, a mutant Cav2.1 protein with an aberrant elongated polyQ tract was identified in PME patients. To investigate the molecular mechanism and cell biology of this aberrant elongated polyQ tract, wild-type Cav2.1 with 13 polyQ repeats (Cav2.1 wt-Q13) and mutant-type Cav2.1 with 26 polyQ repeats (Cav2.1 mt-Q26) were prepared and introduced into human SH-SY5Y neuroblastoma cells. Using a WST-1 assay, it was revealed that Cav2.1 mt-Q26 markedly suppressed the proliferation of the SH-SY5Y cells, a result not observed for the Cav2.1 wt-Q13-transfected cells. It was also revealed that Cav2.1 mt and its truncated molecules suppressed cell proliferation by inducing apoptosis rather than arresting the cell cycle. Further investigations indicated a nuclear translocation phenomenon associated with the Cav2.1 mt molecules. Mechanistically, it was revealed that the Cav2.1 mt molecules activated the Bcl-2/Bax, caspase-3 and poly ADP-ribose polymerase (PARP) apoptotic pathways. The present study may provide new insights for interpreting the pathogenesis of PME and the relationship among polyQ, CACNA1A gene mutations and PME.
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Affiliation(s)
- Ji Sun
- Department of Pediatric Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Xiguang Sun
- Department of Hand Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Zhuo Li
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Dihui Ma
- Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Yudan Lv
- Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
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38
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Abstract
Genomic sequencing technologies have revolutionized mutation detection of the genetic diseases in the past few years. In recent years, the third generation sequencing (TGS) has been gaining insight into more genetic diseases owing to the single molecular and real time sequencing technology. This paper reviews the genomic sequencing revolutionary history first and then focuses on the genetic diseases discovered through the TGS and the clinical effects of the TGS, which is followed by the discussion of the improvement in the bioinformatic analysis for the TGS and its limitations. In summary, the TGS has been enhancing the diagnostic accuracy of genetic diseases in molecular level as well as paving a new way for basic researches and therapies.
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Affiliation(s)
- Tiantian Xiao
- Clinic of Neonatology, Children's Hospital of Fudan University, Shanghai 201102, China.,Department of Neonatology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Wenhao Zhou
- Clinic of Neonatology, Children's Hospital of Fudan University, Shanghai 201102, China.,Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Shanghai 201102, China.,Key Laboratory of Neonatal Diseases, Children's Hospital of Fudan University, Shanghai 201102, China
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39
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Díaz-Casado E, Gómez-Nieto R, de Pereda JM, Muñoz LJ, Jara-Acevedo M, López DE. Analysis of gene variants in the GASH/Sal model of epilepsy. PLoS One 2020; 15:e0229953. [PMID: 32168507 PMCID: PMC7069730 DOI: 10.1371/journal.pone.0229953] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 02/17/2020] [Indexed: 12/12/2022] Open
Abstract
Epilepsy is a complex neurological disorder characterized by sudden and recurrent seizures, which are caused by various factors, including genetic abnormalities. Several animal models of epilepsy mimic the different symptoms of this disorder. In particular, the genetic audiogenic seizure hamster from Salamanca (GASH/Sal) animals exhibit sound-induced seizures similar to the generalized tonic seizures observed in epileptic patients. However, the genetic alterations underlying the audiogenic seizure susceptibility of the GASH/Sal model remain unknown. In addition, gene variations in the GASH/Sal might have a close resemblance with those described in humans with epilepsy, which is a prerequisite for any new preclinical studies that target genetic abnormalities. Here, we performed whole exome sequencing (WES) in GASH/Sal animals and their corresponding controls to identify and characterize the mutational landscape of the GASH/Sal strain. After filtering the results, moderate- and high-impact variants were validated by Sanger sequencing, assessing the possible impact of the mutations by “in silico” reconstruction of the encoded proteins and analyzing their corresponding biological pathways. Lastly, we quantified gene expression levels by RT-qPCR. In the GASH/Sal model, WES showed the presence of 342 variations, in which 21 were classified as high-impact mutations. After a full bioinformatics analysis to highlight the high quality and reliable variants, the presence of 3 high-impact and 15 moderate-impact variants were identified. Gene expression analysis of the high-impact variants of Asb14 (ankyrin repeat and SOCS Box Containing 14), Msh3 (MutS Homolog 3) and Arhgef38 (Rho Guanine Nucleotide Exchange Factor 38) genes showed a higher expression in the GASH/Sal than in control hamsters. In silico analysis of the functional consequences indicated that those mutations in the three encoded proteins would have severe functional alterations. By functional analysis of the variants, we detected 44 significantly enriched pathways, including the glutamatergic synapse pathway. The data show three high-impact mutations with a major impact on the function of the proteins encoded by these genes, although no mutation in these three genes has been associated with some type of epilepsy until now. Furthermore, GASH/Sal animals also showed gene variants associated with different types of epilepsy that has been extensively documented, as well as mutations in other genes that encode proteins with functions related to neuronal excitability, which could be implied in the phenotype of the GASH/Sal. Our findings provide valuable genetic and biological pathway data associated to the genetic burden of the audiogenic seizure susceptibility and reinforce the need to validate the role of each key mutation in the phenotype of the GASH/Sal model.
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Affiliation(s)
- Elena Díaz-Casado
- Institute of Neurosciences of Castilla y León, University of Salamanca, Salamanca, Spain
- Salamanca Institute for Biomedical Research, Salamanca, Spain
| | - Ricardo Gómez-Nieto
- Institute of Neurosciences of Castilla y León, University of Salamanca, Salamanca, Spain
- Salamanca Institute for Biomedical Research, Salamanca, Spain
- Department of Cell Biology and Pathology, School Medicine, University of Salamanca, Salamanca, Spain
| | - José M. de Pereda
- Institute of Molecular and Cellular Biology of Cancer, CSIC.—University of Salamanca, Salamanca, Spain
| | - Luis J. Muñoz
- Animal facilities, University of Salamanca, Salamanca, Spain
| | | | - Dolores E. López
- Institute of Neurosciences of Castilla y León, University of Salamanca, Salamanca, Spain
- Salamanca Institute for Biomedical Research, Salamanca, Spain
- Department of Cell Biology and Pathology, School Medicine, University of Salamanca, Salamanca, Spain
- * E-mail:
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40
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Abstract
Identifying structural variation (SV) is essential for genome interpretation but has been historically difficult due to limitations inherent to available genome technologies. Detection methods that use ensemble algorithms and emerging sequencing technologies have enabled the discovery of thousands of SVs, uncovering information about their ubiquity, relationship to disease and possible effects on biological mechanisms. Given the variability in SV type and size, along with unique detection biases of emerging genomic platforms, multiplatform discovery is necessary to resolve the full spectrum of variation. Here, we review modern approaches for investigating SVs and proffer that, moving forwards, studies integrating biological information with detection will be necessary to comprehensively understand the impact of SV in the human genome.
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Affiliation(s)
- Steve S Ho
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Alexander E Urban
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Ryan E Mills
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA.
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
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41
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Dahary D, Golan Y, Mazor Y, Zelig O, Barshir R, Twik M, Iny Stein T, Rosner G, Kariv R, Chen F, Zhang Q, Shen Y, Safran M, Lancet D, Fishilevich S. Genome analysis and knowledge-driven variant interpretation with TGex. BMC Med Genomics 2019; 12:200. [PMID: 31888639 PMCID: PMC6937949 DOI: 10.1186/s12920-019-0647-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 12/15/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The clinical genetics revolution ushers in great opportunities, accompanied by significant challenges. The fundamental mission in clinical genetics is to analyze genomes, and to identify the most relevant genetic variations underlying a patient's phenotypes and symptoms. The adoption of Whole Genome Sequencing requires novel capacities for interpretation of non-coding variants. RESULTS We present TGex, the Translational Genomics expert, a novel genome variation analysis and interpretation platform, with remarkable exome analysis capacities and a pioneering approach of non-coding variants interpretation. TGex's main strength is combining state-of-the-art variant filtering with knowledge-driven analysis made possible by VarElect, our highly effective gene-phenotype interpretation tool. VarElect leverages the widely used GeneCards knowledgebase, which integrates information from > 150 automatically-mined data sources. Access to such a comprehensive data compendium also facilitates TGex's broad variant annotation, supporting evidence exploration, and decision making. TGex has an interactive, user-friendly, and easy adaptive interface, ACMG compliance, and an automated reporting system. Beyond comprehensive whole exome sequence capabilities, TGex encompasses innovative non-coding variants interpretation, towards the goal of maximal exploitation of whole genome sequence analyses in the clinical genetics practice. This is enabled by GeneCards' recently developed GeneHancer, a novel integrative and fully annotated database of human enhancers and promoters. Examining use-cases from a variety of TGex users world-wide, we demonstrate its high diagnostic yields (42% for single exome and 50% for trios in 1500 rare genetic disease cases) and critical actionable genetic findings. The platform's support for integration with EHR and LIMS through dedicated APIs facilitates automated retrieval of patient data for TGex's customizable reporting engine, establishing a rapid and cost-effective workflow for an entire range of clinical genetic testing, including rare disorders, cancer predisposition, tumor biopsies and health screening. CONCLUSIONS TGex is an innovative tool for the annotation, analysis and prioritization of coding and non-coding genomic variants. It provides access to an extensive knowledgebase of genomic annotations, with intuitive and flexible configuration options, allows quick adaptation, and addresses various workflow requirements. It thus simplifies and accelerates variant interpretation in clinical genetics workflows, with remarkable diagnostic yield, as exemplified in the described use cases. TGex is available at http://tgex.genecards.org/.
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Affiliation(s)
- Dvir Dahary
- Clinical Genetics, LifeMap Sciences Inc., Marshfield, MA, 02050, USA.
| | - Yaron Golan
- Clinical Genetics, LifeMap Sciences Inc., Marshfield, MA, 02050, USA
| | - Yaron Mazor
- Clinical Genetics, LifeMap Sciences Inc., Marshfield, MA, 02050, USA
| | - Ofer Zelig
- Clinical Genetics, LifeMap Sciences Inc., Marshfield, MA, 02050, USA
| | - Ruth Barshir
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Twik
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Tsippi Iny Stein
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Guy Rosner
- Department of Gastroenterology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.,Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Revital Kariv
- Department of Gastroenterology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.,Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Fei Chen
- Genetic and Metabolic Central Laboratory, Birth Defect Prevention Research Institute, Maternal and Child Health Hospital, Children's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530002, China
| | - Qiang Zhang
- Genetic and Metabolic Central Laboratory, Birth Defect Prevention Research Institute, Maternal and Child Health Hospital, Children's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530002, China
| | - Yiping Shen
- Genetic and Metabolic Central Laboratory, Birth Defect Prevention Research Institute, Maternal and Child Health Hospital, Children's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530002, China.,Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.,Department of Neurology, Harvard Medical School, Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Marilyn Safran
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Doron Lancet
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
| | - Simon Fishilevich
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
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42
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Edge P, Bansal V. Longshot enables accurate variant calling in diploid genomes from single-molecule long read sequencing. Nat Commun 2019; 10:4660. [PMID: 31604920 PMCID: PMC6788989 DOI: 10.1038/s41467-019-12493-y] [Citation(s) in RCA: 120] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 09/10/2019] [Indexed: 12/30/2022] Open
Abstract
Whole-genome sequencing using sequencing technologies such as Illumina enables the accurate detection of small-scale variants but provides limited information about haplotypes and variants in repetitive regions of the human genome. Single-molecule sequencing (SMS) technologies such as Pacific Biosciences and Oxford Nanopore generate long reads that can potentially address the limitations of short-read sequencing. However, the high error rate of SMS reads makes it challenging to detect small-scale variants in diploid genomes. We introduce a variant calling method, Longshot, which leverages the haplotype information present in SMS reads to accurately detect and phase single-nucleotide variants (SNVs) in diploid genomes. We demonstrate that Longshot achieves very high accuracy for SNV detection using whole-genome Pacific Biosciences data, outperforms existing variant calling methods, and enables variant detection in duplicated regions of the genome that cannot be mapped using short reads. Single-molecule sequencing (SMS) such as Pacific Biosciences and Oxford Nanopore generate long reads with high error rate. Here, the authors develop Longshot, a computational method that detects and phases single nucleotide variants (SNV) in diploid genomes using SMS data.
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Affiliation(s)
- Peter Edge
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California, 92093, USA
| | - Vikas Bansal
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California, 92093, USA.
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43
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Long-read sequencing for rare human genetic diseases. J Hum Genet 2019; 65:11-19. [PMID: 31558760 DOI: 10.1038/s10038-019-0671-8] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 08/28/2019] [Accepted: 09/03/2019] [Indexed: 12/19/2022]
Abstract
During the past decade, the search for pathogenic mutations in rare human genetic diseases has involved huge efforts to sequence coding regions, or the entire genome, using massively parallel short-read sequencers. However, the approximate current diagnostic rate is <50% using these approaches, and there remain many rare genetic diseases with unknown cause. There may be many reasons for this, but one plausible explanation is that the responsible mutations are in regions of the genome that are difficult to sequence using conventional technologies (e.g., tandem-repeat expansion or complex chromosomal structural aberrations). Despite the drawbacks of high cost and a shortage of standard analytical methods, several studies have analyzed pathogenic changes in the genome using long-read sequencers. The results of these studies provide hope that further application of long-read sequencers to identify the causative mutations in unsolved genetic diseases may expand our understanding of the human genome and diseases. Such approaches may also be applied to molecular diagnosis and therapeutic strategies for patients with genetic diseases in the future.
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44
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Rapid progression of a walking disability in a 5-year-old boy with a CLN6 mutation. Brain Dev 2019; 41:726-730. [PMID: 31029456 DOI: 10.1016/j.braindev.2019.04.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 04/08/2019] [Accepted: 04/12/2019] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Neuronal ceroid lipofuscinoses (NCLs; CLN) are mainly autosomal recessive neurodegenerative disorders characterized by the accumulation of autofluorescent lipopigments in neuronal and other cells. Symptoms include visual disabilities, motor decline, and epilepsy. Causative genes are CLN1, CLN2, CLN3, CLN5, CLN6, CLN7, CLN8, CLN10, CLN11, CLN12, CLN13, and CLN14. We present the fourth Japanese case with a CLN6 mutation. CASE PRESENTATION At 3 years of age, our patient became clumsy and fell down easily. He developed focal seizures with impaired consciousness and was started on carbamazepine. He showed ataxic walking and dysarthria with increased deep tendon reflexes. Interictal electroencephalogram revealed slow waves in the left temporal and occipital areas. Brain magnetic resonance imaging showed cerebellar atrophy and ventriculomegaly. In optical coherence tomography (OCT), the inner layer of the retina was thick and highly reflective. Exome sequencing revealed a known homozygous mutation, C.794_976del, p. (Ser265del) in CLN6. DISCUSSION A total of 130 cases of NCL with CLN6 mutations have been reported globally, of which only four were from Japan including the current patient. The deletion of serine at position 265 has been reported in six cases. Ser265 is located in a region of short repeated sequences that is susceptible to mutation. Clinical trials of gene therapy using adeno-associated virus serotype 9 have started for NCL6, making early diagnosis crucial. OCT examination might be helpful in achieving a diagnosis.
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