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Chemparathy A, Le Guen Y, Chen S, Lee EG, Leong L, Gorzynski JE, Jensen TD, Ferrasse A, Xu G, Xiang H, Belloy ME, Kasireddy N, Peña-Tauber A, Williams K, Stewart I, Talozzi L, Wingo TS, Lah JJ, Jayadev S, Hales CM, Peskind E, Child DD, Roeber S, Keene CD, Cong L, Ashley EA, Yu CE, Greicius MD. APOE loss-of-function variants: Compatible with longevity and associated with resistance to Alzheimer's disease pathology. Neuron 2024; 112:1110-1116.e5. [PMID: 38301647 PMCID: PMC10994769 DOI: 10.1016/j.neuron.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 10/31/2023] [Accepted: 01/08/2024] [Indexed: 02/03/2024]
Abstract
The ε4 allele of apolipoprotein E (APOE) is the strongest genetic risk factor for sporadic Alzheimer's disease (AD). Knockdown of ε4 may provide a therapeutic strategy for AD, but the effect of APOE loss of function (LoF) on AD pathogenesis is unknown. We searched for APOE LoF variants in a large cohort of controls and patients with AD and identified seven heterozygote carriers of APOE LoF variants. Five carriers were controls (aged 71-90 years), one carrier was affected by progressive supranuclear palsy, and one carrier was affected by AD with an unremarkable age at onset of 75 years. Two APOE ε3/ε4 controls carried a stop-gain affecting ε4: one was cognitively normal at 90 years and had no neuritic plaques at autopsy; the other was cognitively healthy at 79 years, and lumbar puncture at 76 years showed normal levels of amyloid. These results suggest that ε4 drives AD risk through the gain of abnormal function and support ε4 knockdown as a viable therapeutic option.
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Affiliation(s)
- Augustine Chemparathy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Sunny Chen
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Eun-Gyung Lee
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Lesley Leong
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - John E Gorzynski
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Tanner D Jensen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexis Ferrasse
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Guangxue Xu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Hong Xiang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Andrés Peña-Tauber
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Kennedy Williams
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Ilaria Stewart
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lia Talozzi
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Thomas S Wingo
- Emory University School of Medicine, Atlanta, GA, USA; Goizueta Alzheimer's Disease Center, Emory University School of Medicine, Atlanta, GA, USA
| | - James J Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Chadwick M Hales
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, University of Washington, Seattle, WA, USA
| | - Elaine Peskind
- Veterans Affairs Northwest Network Mental Illness Research, Education, and Clinical Center, Veteran Affairs Puget Sound Health Care System, Seattle, WA, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Daniel D Child
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Sigrun Roeber
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Le Cong
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Euan A Ashley
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA, USA; Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Chang-En Yu
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
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Carpinteyro-Ponce J, Machado CA. The Complex Landscape of Structural Divergence Between the Drosophila pseudoobscura and D. persimilis Genomes. Genome Biol Evol 2024; 16:evae047. [PMID: 38482945 PMCID: PMC10980976 DOI: 10.1093/gbe/evae047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2024] [Indexed: 04/01/2024] Open
Abstract
Structural genomic variants are key drivers of phenotypic evolution. They can span hundreds to millions of base pairs and can thus affect large numbers of genetic elements. Although structural variation is quite common within and between species, its characterization depends upon the quality of genome assemblies and the proportion of repetitive elements. Using new high-quality genome assemblies, we report a complex and previously hidden landscape of structural divergence between the genomes of Drosophila persimilis and D. pseudoobscura, two classic species in speciation research, and study the relationships among structural variants, transposable elements, and gene expression divergence. The new assemblies confirm the already known fixed inversion differences between these species. Consistent with previous studies showing higher levels of nucleotide divergence between fixed inversions relative to collinear regions of the genome, we also find a significant overrepresentation of INDELs inside the inversions. We find that transposable elements accumulate in regions with low levels of recombination, and spatial correlation analyses reveal a strong association between transposable elements and structural variants. We also report a strong association between differentially expressed (DE) genes and structural variants and an overrepresentation of DE genes inside the fixed chromosomal inversions that separate this species pair. Interestingly, species-specific structural variants are overrepresented in DE genes involved in neural development, spermatogenesis, and oocyte-to-embryo transition. Overall, our results highlight the association of transposable elements with structural variants and their importance in driving evolutionary divergence.
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Affiliation(s)
| | - Carlos A Machado
- Department of Biology, University of Maryland, College Park, MD, USA
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Mazzonetto PC, Villela D, da Costa SS, Krepischi ACV, Milanezi F, Migliavacca MP, Pierry PM, Bonaldi A, Almeida LGD, De Souza CA, Kroll JE, Paula MG, Guarischi-Sousa R, Scapulatempo-Neto C, Rosenberg C. Low-pass whole genome sequencing is a reliable and cost-effective approach for copy number variant analysis in the clinical setting. Ann Hum Genet 2024; 88:113-125. [PMID: 37807935 DOI: 10.1111/ahg.12532] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/20/2023] [Accepted: 09/22/2023] [Indexed: 10/10/2023]
Abstract
INTRODUCTION Next generation sequencing technology has greatly reduced the cost and time required for sequencing a genome. An approach that is rapidly being adopted as an alternative method for CNV analysis is the low-pass whole genome sequencing (LP-WGS). Here, we evaluated the performance of LP-WGS to detect copy number variants (CNVs) in clinical cytogenetics. MATERIALS AND METHODS DNA samples with known CNVs detected by chromosomal microarray analyses (CMA) were selected for comparison and used as positive controls; our panel included 44 DNA samples (12 prenatal and 32 postnatal), comprising a total of 55 chromosome imbalances. The selected cases were chosen to provide a wide range of clinically relevant CNVs, the vast majority being associated with intellectual disability or recognizable syndromes. The chromosome imbalances ranged in size from 75 kb to 90.3 Mb, including aneuploidies and two cases of mosaicism. RESULTS All CNVs were successfully detected by LP-WGS, showing a high level of consistency and robust performance of the sequencing method. Notably, the size of chromosome imbalances detected by CMA and LP-WGS were compatible between the two different platforms, which indicates that the resolution and sensitivity of the LP-WGS approach are at least similar to those provided by CMA. DISCUSSION Our data show the potential use of LP-WGS to detect CNVs in clinical diagnosis and confirm the method as an alternative for chromosome imbalances detection. The diagnostic effectiveness and feasibility of LP-WGS, in this technical validation study, were evidenced by a clinically representative dataset of CNVs that allowed a systematic assessment of the detection power and the accuracy of the sequencing approach. Further, since the software used in this study is commercially available, the method can easily be tested and implemented in a routine diagnostic setting.
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Affiliation(s)
- Patricia C Mazzonetto
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, SP, Brazil
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
| | | | - Silvia Souza da Costa
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, SP, Brazil
| | - Ana C V Krepischi
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, SP, Brazil
| | | | | | | | | | | | | | | | | | | | | | - Carla Rosenberg
- The Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, SP, Brazil
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
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4
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Plaisancié J, Chesneau B, Fares-Taie L, Rozet JM, Pechmeja J, Noero J, Gaston V, Bailleul-Forestier I, Calvas P, Chassaing N. Structural Variant Disrupting the Expression of the Remote FOXC1 Gene in a Patient with Syndromic Complex Microphthalmia. Int J Mol Sci 2024; 25:2669. [PMID: 38473917 DOI: 10.3390/ijms25052669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Ocular malformations (OMs) arise from early defects during embryonic eye development. Despite the identification of over 100 genes linked to this heterogeneous group of disorders, the genetic cause remains unknown for half of the individuals following Whole-Exome Sequencing. Diagnosis procedures are further hampered by the difficulty of studying samples from clinically relevant tissue, which is one of the main obstacles in OMs. Whole-Genome Sequencing (WGS) to screen for non-coding regions and structural variants may unveil new diagnoses for OM individuals. In this study, we report a patient exhibiting a syndromic OM with a de novo 3.15 Mb inversion in the 6p25 region identified by WGS. This balanced structural variant was located 100 kb away from the FOXC1 gene, previously associated with ocular defects in the literature. We hypothesized that the inversion disrupts the topologically associating domain of FOXC1 and impairs the expression of the gene. Using a new type of samples to study transcripts, we were able to show that the patient presented monoallelic expression of FOXC1 in conjunctival cells, consistent with the abolition of the expression of the inverted allele. This report underscores the importance of investigating structural variants, even in non-coding regions, in individuals affected by ocular malformations.
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Affiliation(s)
- Julie Plaisancié
- Laboratoire de Référence des Anomalies Malformatives de l'Œil, Institut Fédératif de Biologie, Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
- Centre de Référence des Affections Rares en Génétique Ophtalmologique (CARGO), Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
- Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Intégrative (CBI), (CNRS), Université Toulouse III Paul Sabatier (UPS), Université de Toulouse, 31062 Toulouse, France
| | - Bertrand Chesneau
- Laboratoire de Référence des Anomalies Malformatives de l'Œil, Institut Fédératif de Biologie, Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
- Centre de Référence des Affections Rares en Génétique Ophtalmologique (CARGO), Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
- Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Intégrative (CBI), (CNRS), Université Toulouse III Paul Sabatier (UPS), Université de Toulouse, 31062 Toulouse, France
| | - Lucas Fares-Taie
- Laboratoire de Génétique Ophtalmologique, Institut national de la Santé et de la Recherche Médicale (INSERM) U1163, Institut Imagine, 75015 Paris, France
| | - Jean-Michel Rozet
- Laboratoire de Génétique Ophtalmologique, Institut national de la Santé et de la Recherche Médicale (INSERM) U1163, Institut Imagine, 75015 Paris, France
| | - Jacmine Pechmeja
- Centre de Référence des Affections Rares en Génétique Ophtalmologique (CARGO), Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
- Service d'Ophtalmologie, Hôpital Purpan, Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
| | - Julien Noero
- Laboratoire de Référence des Anomalies Malformatives de l'Œil, Institut Fédératif de Biologie, Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
- Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Intégrative (CBI), (CNRS), Université Toulouse III Paul Sabatier (UPS), Université de Toulouse, 31062 Toulouse, France
| | - Véronique Gaston
- Laboratoire de Référence des Anomalies Malformatives de l'Œil, Institut Fédératif de Biologie, Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
| | | | - Patrick Calvas
- Laboratoire de Référence des Anomalies Malformatives de l'Œil, Institut Fédératif de Biologie, Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
- Centre de Référence des Affections Rares en Génétique Ophtalmologique (CARGO), Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
| | - Nicolas Chassaing
- Laboratoire de Référence des Anomalies Malformatives de l'Œil, Institut Fédératif de Biologie, Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
- Centre de Référence des Affections Rares en Génétique Ophtalmologique (CARGO), Centre Hospitalier Universitaire de Toulouse, 31300 Toulouse, France
- Laboratoire AURAGEN, 69003 Lyon, France
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5
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Gueuning M, Thun GA, Trost N, Schneider L, Sigurdardottir S, Engström C, Larbes N, Merki Y, Frey BM, Gassner C, Meyer S, Mattle-Greminger MP. Resolving Genotype-Phenotype Discrepancies of the Kidd Blood Group System Using Long-Read Nanopore Sequencing. Biomedicines 2024; 12:225. [PMID: 38275395 PMCID: PMC10813000 DOI: 10.3390/biomedicines12010225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 01/27/2024] Open
Abstract
Due to substantial improvements in read accuracy, third-generation long-read sequencing holds great potential in blood group diagnostics, particularly in cases where traditional genotyping or sequencing techniques, primarily targeting exons, fail to explain serological phenotypes. In this study, we employed Oxford Nanopore sequencing to resolve all genotype-phenotype discrepancies in the Kidd blood group system (JK, encoded by SLC14A1) observed over seven years of routine high-throughput donor genotyping using a mass spectrometry-based platform at the Blood Transfusion Service, Zurich. Discrepant results from standard serological typing and donor genotyping were confirmed using commercial PCR-SSP kits. To resolve discrepancies, we amplified the entire coding region of SLC14A1 (~24 kb, exons 3 to 10) in two overlapping long-range PCRs in all samples. Amplicons were barcoded and sequenced on a MinION flow cell. Sanger sequencing and bridge-PCRs were used to confirm findings. Among 11,972 donors with both serological and genotype data available for the Kidd system, we identified 10 cases with unexplained conflicting results. Five were linked to known weak and null alleles caused by variants not included in the routine donor genotyping. In two cases, we identified novel null alleles on the JK*01 (Gly40Asp; c.119G>A) and JK*02 (Gly242Glu; c.725G>A) haplotypes, respectively. Remarkably, the remaining three cases were associated with a yet unknown deletion of ~5 kb spanning exons 9-10 of the JK*01 allele, which other molecular methods had failed to detect. Overall, nanopore sequencing demonstrated reliable and accurate performance for detecting both single-nucleotide and structural variants. It possesses the potential to become a robust tool in the molecular diagnostic portfolio, particularly for addressing challenging structural variants such as hybrid genes, deletions and duplications.
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Affiliation(s)
- Morgan Gueuning
- Department of Research and Development, Blood Transfusion Service Zurich, Swiss Red Cross, Rütistrasse 19, 8952 Schlieren, Switzerland
| | - Gian Andri Thun
- Department of Research and Development, Blood Transfusion Service Zurich, Swiss Red Cross, Rütistrasse 19, 8952 Schlieren, Switzerland
| | - Nadine Trost
- Department of Molecular Diagnostics and Cytometry, Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland
| | - Linda Schneider
- Department of Molecular Diagnostics and Cytometry, Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland
| | - Sonja Sigurdardottir
- Department of Molecular Diagnostics and Cytometry, Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland
| | - Charlotte Engström
- Department of Immunohematology, Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland; (C.E.)
| | - Naemi Larbes
- Department of Immunohematology, Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland; (C.E.)
| | - Yvonne Merki
- Department of Molecular Diagnostics and Cytometry, Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland
| | - Beat M. Frey
- Department of Research and Development, Blood Transfusion Service Zurich, Swiss Red Cross, Rütistrasse 19, 8952 Schlieren, Switzerland
- Department of Molecular Diagnostics and Cytometry, Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland
- Department of Immunohematology, Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland; (C.E.)
| | - Christoph Gassner
- Institute of Translational Medicine, Private University in the Principality of Liechtenstein, 9495 Triesen, Liechtenstein;
| | - Stefan Meyer
- Department of Molecular Diagnostics and Cytometry, Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland
| | - Maja P. Mattle-Greminger
- Department of Research and Development, Blood Transfusion Service Zurich, Swiss Red Cross, Rütistrasse 19, 8952 Schlieren, Switzerland
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Finlay D, Murad R, Hong K, Lee J, Pang AWC, Lai CY, Clifford B, Burian C, Mason J, Hastie AR, Yin J, Vuori K. Detection of Genomic Structural Variations Associated with Drug Sensitivity and Resistance in Acute Leukemia. Cancers (Basel) 2024; 16:418. [PMID: 38254907 PMCID: PMC10814465 DOI: 10.3390/cancers16020418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/13/2024] [Accepted: 01/15/2024] [Indexed: 01/24/2024] Open
Abstract
Acute leukemia is a particularly problematic collection of hematological cancers, and, while somewhat rare, the survival rate of patients is typically abysmal without bone marrow transplantation. Furthermore, traditional chemotherapies used as standard-of-care for patients cause significant side effects. Understanding the evolution of leukemia to identify novel targets and, therefore, drug treatment regimens is a significant medical need. Genomic rearrangements and other structural variations (SVs) have long been known to be causative and pathogenic in multiple types of cancer, including leukemia. These SVs may be involved in cancer initiation, progression, clonal evolution, and drug resistance, and a better understanding of SVs from individual patients may help guide therapeutic options. Here, we show the utilization of optical genome mapping (OGM) to detect known and novel SVs in the samples of patients with leukemia. Importantly, this technology provides an unprecedented level of granularity and quantitation unavailable to other current techniques and allows for the unbiased detection of novel SVs, which may be relevant to disease pathogenesis and/or drug resistance. Coupled with the chemosensitivities of these samples to FDA-approved oncology drugs, we show how an impartial integrative analysis of these diverse datasets can be used to associate the detected genomic rearrangements with multiple drug sensitivity profiles. Indeed, an insertion in the gene MUSK is shown to be associated with increased sensitivity to the clinically relevant agent Idarubicin, while partial tandem duplication events in the KMT2A gene are related to the efficacy of another frontline treatment, Cytarabine.
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Affiliation(s)
- Darren Finlay
- NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA; (R.M.)
| | - Rabi Murad
- NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA; (R.M.)
| | - Karl Hong
- Bionano Genomics Inc., San Diego, CA 92121, USA
| | - Joyce Lee
- Bionano Genomics Inc., San Diego, CA 92121, USA
| | | | - Chi-Yu Lai
- Bionano Genomics Inc., San Diego, CA 92121, USA
| | | | | | - James Mason
- Scripps MD Anderson, La Jolla, CA 92037, USA
| | | | - Jun Yin
- NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA; (R.M.)
| | - Kristiina Vuori
- NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA; (R.M.)
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7
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Escalera-Balsera A, Parra-Perez AM, Gallego-Martinez A, Frejo L, Martin-Lagos J, Rivero de Jesus V, Pérez-Vázquez P, Perez-Carpena P, Lopez-Escamez JA. Rare Deletions or Large Duplications Contribute to Genetic Variation in Patients with Severe Tinnitus and Meniere Disease. Genes (Basel) 2023; 15:22. [PMID: 38254912 PMCID: PMC10815708 DOI: 10.3390/genes15010022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/15/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024] Open
Abstract
Meniere disease (MD) is a debilitating disorder of the inner ear defined by sensorineural hearing loss (SNHL) associated with episodes of vertigo and tinnitus. Severe tinnitus, which occurs in around 1% of patients, is a multiallelic disorder associated with a burden of rare missense single nucleotide variants in synaptic genes. Rare structural variants (SVs) may also contribute to MD and severe tinnitus. In this study, we analyzed exome sequencing data from 310 MD Spanish patients and selected 75 patients with severe tinnitus based on a Tinnitus Handicap Inventory (THI) score > 68. Three rare deletions were identified in two unrelated individuals overlapping the ERBB3 gene in the positions: NC_000012.12:g.56100028_56100172del, NC_000012.12:g.56100243_56101058del, and NC_000012.12:g.56101359_56101526del. Moreover, an ultra-rare large duplication was found covering the AP4M1, COPS6, MCM7, TAF6, MIR106B, MIR25, and MIR93 genes in another two patients in the NC_000007.14:g.100089053_100112257dup region. All the coding genes exhibited expression in brain and inner ear tissues. These results confirm the contribution of large SVs to severe tinnitus in MD and pinpoint new candidate genes to get a better molecular understanding of the disease.
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Affiliation(s)
- Alba Escalera-Balsera
- Otology & Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, 18071 Granada, Spain; (A.E.-B.); (A.M.P.-P.); (A.G.-M.); (L.F.); (J.M.-L.); (P.P.-C.)
- Division of Otolaryngology, Department of Surgery, Universidad de Granada, 18016 Granada, Spain
- Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, 28029 Madrid, Spain
| | - Alberto M. Parra-Perez
- Otology & Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, 18071 Granada, Spain; (A.E.-B.); (A.M.P.-P.); (A.G.-M.); (L.F.); (J.M.-L.); (P.P.-C.)
- Division of Otolaryngology, Department of Surgery, Universidad de Granada, 18016 Granada, Spain
- Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, 28029 Madrid, Spain
| | - Alvaro Gallego-Martinez
- Otology & Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, 18071 Granada, Spain; (A.E.-B.); (A.M.P.-P.); (A.G.-M.); (L.F.); (J.M.-L.); (P.P.-C.)
- Division of Otolaryngology, Department of Surgery, Universidad de Granada, 18016 Granada, Spain
- Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, 28029 Madrid, Spain
| | - Lidia Frejo
- Otology & Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, 18071 Granada, Spain; (A.E.-B.); (A.M.P.-P.); (A.G.-M.); (L.F.); (J.M.-L.); (P.P.-C.)
- Division of Otolaryngology, Department of Surgery, Universidad de Granada, 18016 Granada, Spain
- Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, 28029 Madrid, Spain
- Meniere’s Disease Neuroscience Research Program, Faculty of Medicine & Health, School of Medical Sciences, The Kolling Institute, University of Sydney, Sydney, NSW 2065, Australia
| | - Juan Martin-Lagos
- Otology & Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, 18071 Granada, Spain; (A.E.-B.); (A.M.P.-P.); (A.G.-M.); (L.F.); (J.M.-L.); (P.P.-C.)
- Division of Otolaryngology, Department of Surgery, Universidad de Granada, 18016 Granada, Spain
- Department of Otorhinolaryngology, Hospital Clinico Universitario San Cecilio, 18016 Granada, Spain
| | | | - Paz Pérez-Vázquez
- Servicio de Otorrinolaringología, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain;
| | - Patricia Perez-Carpena
- Otology & Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, 18071 Granada, Spain; (A.E.-B.); (A.M.P.-P.); (A.G.-M.); (L.F.); (J.M.-L.); (P.P.-C.)
- Division of Otolaryngology, Department of Surgery, Universidad de Granada, 18016 Granada, Spain
- Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, 28029 Madrid, Spain
- Department of Otorhinolaryngology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain
| | - Jose A. Lopez-Escamez
- Otology & Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, 18071 Granada, Spain; (A.E.-B.); (A.M.P.-P.); (A.G.-M.); (L.F.); (J.M.-L.); (P.P.-C.)
- Division of Otolaryngology, Department of Surgery, Universidad de Granada, 18016 Granada, Spain
- Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, 28029 Madrid, Spain
- Meniere’s Disease Neuroscience Research Program, Faculty of Medicine & Health, School of Medical Sciences, The Kolling Institute, University of Sydney, Sydney, NSW 2065, Australia
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8
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Owusu R, Savarese M. Long-read sequencing improves diagnostic rate in neuromuscular disorders. Acta Myol 2023; 42:123-128. [PMID: 38406378 PMCID: PMC10883326 DOI: 10.36185/2532-1900-394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 12/05/2023] [Indexed: 02/27/2024]
Abstract
Massive parallel sequencing methods, such as exome, genome, and targeted DNA sequencing, have aided molecular diagnosis of genetic diseases in the last 20 years. However, short-read sequencing methods still have several limitations, such inaccurate genome assembly, the inability to detect large structural variants, and variants located in hard-to-sequence regions like highly repetitive areas. The recently emerged PacBio single-molecule real-time (SMRT) and Oxford nanopore technology (ONT) long-read sequencing (LRS) methods have been shown to overcome most of these technical issues, leading to an increase in diagnostic rate. LRS methods are contributing to the detection of repeat expansions in novel disease-causing genes (e.g., ABCD3, NOTCH2NLC and RILPL1 causing an Oculopharyngodistal myopathy or PLIN4 causing a Myopathy with rimmed ubiquitin-positive autophagic vacuolation), of structural variants (e.g., in DMD), and of single nucleotide variants in repetitive regions (TTN and NEB). Moreover, these methods have simplified the characterization of the D4Z4 repeats in DUX4, facilitating the diagnosis of Facioscapulohumeral muscular dystrophy (FSHD). We review recent studies that have used either ONT or PacBio SMRT sequencing methods and discuss different types of variants that have been detected using these approaches in individuals with neuromuscular disorders.
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Affiliation(s)
| | - Marco Savarese
- Folkhälsan Research Center, Helsinki, Finland
- University of Helsinki, Faculty of Medicine, Helsinki, Finland
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9
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Daida K, Funayama M, Billingsley KJ, Malik L, Miano-Burkhardt A, Leonard HL, Makarious MB, Iwaki H, Ding J, Gibbs JR, Ishiguro M, Yoshino H, Ogaki K, Oyama G, Nishioka K, Nonaka R, Akamatsu W, Blauwendraat C, Hattori N. Long-Read Sequencing Resolves a Complex Structural Variant in PRKN Parkinson's Disease. Mov Disord 2023; 38:2249-2257. [PMID: 37926948 PMCID: PMC10843047 DOI: 10.1002/mds.29610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/17/2023] [Accepted: 09/11/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Parkin RBR E3 ubiquitin-protein ligase (PRKN) mutations are the most common cause of young onset and autosomal recessive Parkinson's disease (PD). PRKN is located in FRA6E, which is one of the common fragile sites in the human genome, making this region prone to structural variants. However, complex structural variants such as inversions of PRKN are seldom reported, suggesting that there are potentially unrevealed complex pathogenic PRKN structural variants. OBJECTIVES To identify complex structural variants in PRKN using long-read sequencing. METHODS We investigated the genetic cause of monozygotic twins presenting with a young onset dystonia-parkinsonism using targeted sequencing, whole exome sequencing, multiple ligation probe amplification, and long-read sequencing. We assessed the presence and frequency of complex inversions overlapping PRKN using whole-genome sequencing data of Accelerating Medicines Partnership Parkinson's disease (AMP-PD) and United Kingdom (UK)-Biobank datasets. RESULTS Multiple ligation probe amplification identified a heterozygous exon three deletion in PRKN and long-read sequencing identified a large novel inversion spanning over 7 Mb, including a large part of the coding DNA sequence of PRKN. We could diagnose the affected subjects as compound heterozygous carriers of PRKN. We analyzed whole genome sequencing data of 43,538 participants of the UK-Biobank and 4941 participants of the AMP-PD datasets. Nine inversions in the UK-Biobank and two in AMP PD were identified and were considered potentially damaging and likely to affect PRKN expression. CONCLUSIONS This is the first report describing a large 7 Mb inversion involving breakpoints outside of PRKN. This study highlights the importance of using long-read sequencing for structural variant analysis in unresolved young-onset PD cases. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
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Affiliation(s)
- Kensuke Daida
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Faculty of Medicine, Juntendo University, Hongo, Tokyo, Japan
| | - Manabu Funayama
- Department of Neurology, Faculty of Medicine, Juntendo University, Hongo, Tokyo, Japan
- Research Institute for Diseases of Old Age, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Kimberley J Billingsley
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Laksh Malik
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Abigail Miano-Burkhardt
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Hampton L. Leonard
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Washington, DC, USA
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Mary B. Makarious
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK, WC1N 3BG
- UCL Movement Disorders Centre, University College London, London, UK, WC1N 3BG
| | - Hirotaka Iwaki
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Washington, DC, USA
| | - Jinhui Ding
- Computational Biology Group, Laboratory of Neurogenetics,National Institute on Aging, NIH, PorterNeuroscience ResearchCenter,Bethesda, MD, USA
| | - J. Raphael Gibbs
- Computational Biology Group, Laboratory of Neurogenetics,National Institute on Aging, NIH, PorterNeuroscience ResearchCenter,Bethesda, MD, USA
| | - Mayu Ishiguro
- Department of Neurology, Faculty of Medicine, Juntendo University, Hongo, Tokyo, Japan
| | - Hiroyo Yoshino
- Research Institute for Diseases of Old Age, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Kotaro Ogaki
- Department of Neurology, Faculty of Medicine, Juntendo University, Hongo, Tokyo, Japan
| | - Genko Oyama
- Department of Neurology, Faculty of Medicine, Juntendo University, Hongo, Tokyo, Japan
| | - Kenya Nishioka
- Department of Neurology, Juntendo Tokyo Koto Geriatric Medical Center 3-3-20 Shinsuna, Koto-ku, Tokyo 136-0075
| | - Risa Nonaka
- Department of Neurology, Faculty of Medicine, Juntendo University, Hongo, Tokyo, Japan
- Department of Clinical Data of Parkinson’s Disease, Graduate School of Medicine, Juntendo University, Tokyo, Japan
- Center for Genomic and Regenerative Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Wado Akamatsu
- Center for Genomic and Regenerative Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Cornelis Blauwendraat
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Nobutaka Hattori
- Department of Neurology, Faculty of Medicine, Juntendo University, Hongo, Tokyo, Japan
- Research Institute for Diseases of Old Age, Graduate School of Medicine, Juntendo University, Tokyo, Japan
- Neurodegenerative Disorders Collaborative Laboratory, RIKEN Center for Brain Science, Wako, Saitama, Japan
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10
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Misceo D, Senaratne LDS, Mero IL, Sundaram AYM, Bjørnstad PM, Szczałuba K, Gasperowicz P, Kamien B, Nedregaard B, Holmgren A, Strømme P, Frengen E. Novel Loss of Function Variants in CENPF Including a Large Intragenic Deletion in Patients with Strømme Syndrome. Genes (Basel) 2023; 14:1985. [PMID: 38002928 PMCID: PMC10671177 DOI: 10.3390/genes14111985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
Strømme syndrome is an ultra-rare primary ciliopathy with clinical variability. The syndrome is caused by bi-allelic variants in CENPF, a protein with key roles in both chromosomal segregation and ciliogenesis. We report three unrelated patients with Strømme syndrome and, using high-throughput sequencing approaches, we identified novel pathogenic variants in CENPF, including one structural variant, giving a genetic diagnosis to the patients. Patient 1 was a premature baby who died at 26 days with congenital malformations affecting many organs including the brain, eyes, and intestine. She was homozygous for a donor splice variant in CENPF, NM_016343.3:c.1068+1G>A, causing skipping of exon 7, resulting in a frameshift. Patient 2 was a female with intestinal atresia, microcephaly, and a Peters anomaly. She had normal developmental milestones at the age of 7 years. She is compound heterozygous for CENPF NM_016343.3:c.5920dup and c.8991del, both frameshift. Patient 3 was a male with anomalies of the brain, eye, intestine, and kidneys. He was compound heterozygous for CENPF p.(Glu298Ter), and a 5323 bp deletion covering exon 1. CENPF exon 1 is flanked by repetitive sequences that may represent a site of a recurrent structural variation, which should be a focus in patients with Strømme syndrome of unknown etiology.
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Affiliation(s)
- Doriana Misceo
- Department of Medical Genetics, Oslo University Hospital, 0450 Oslo, Norway; (D.M.); (L.D.S.S.); (I.-L.M.); (A.Y.M.S.); (A.H.)
- Faculty of Medicine, University of Oslo, 0450 Oslo, Norway;
| | - Lokuliyanage Dona Samudita Senaratne
- Department of Medical Genetics, Oslo University Hospital, 0450 Oslo, Norway; (D.M.); (L.D.S.S.); (I.-L.M.); (A.Y.M.S.); (A.H.)
- Faculty of Medicine, University of Oslo, 0450 Oslo, Norway;
| | - Inger-Lise Mero
- Department of Medical Genetics, Oslo University Hospital, 0450 Oslo, Norway; (D.M.); (L.D.S.S.); (I.-L.M.); (A.Y.M.S.); (A.H.)
| | - Arvind Y. M. Sundaram
- Department of Medical Genetics, Oslo University Hospital, 0450 Oslo, Norway; (D.M.); (L.D.S.S.); (I.-L.M.); (A.Y.M.S.); (A.H.)
- Faculty of Medicine, University of Oslo, 0450 Oslo, Norway;
| | - Pål Marius Bjørnstad
- Department of Medical Genetics, Oslo University Hospital, 0450 Oslo, Norway; (D.M.); (L.D.S.S.); (I.-L.M.); (A.Y.M.S.); (A.H.)
- Faculty of Medicine, University of Oslo, 0450 Oslo, Norway;
| | - Krzysztof Szczałuba
- Department of Medical Genetics, Medical University of Warsaw, Żwirki i Wigury 61, 02-091 Warszawa, Poland; (K.S.)
| | - Piotr Gasperowicz
- Department of Medical Genetics, Medical University of Warsaw, Żwirki i Wigury 61, 02-091 Warszawa, Poland; (K.S.)
| | - Benjamin Kamien
- Genetic Services of Western Australia, King Edward Memorial Hospital, 374 Bagot Rd, Subiaco, WA 6008, Australia;
| | - Bård Nedregaard
- Department of Radiology and Nuclear Medicine, Section of Neuroradiology, Oslo University Hospital, 0450 Oslo, Norway;
| | - Asbjørn Holmgren
- Department of Medical Genetics, Oslo University Hospital, 0450 Oslo, Norway; (D.M.); (L.D.S.S.); (I.-L.M.); (A.Y.M.S.); (A.H.)
- Faculty of Medicine, University of Oslo, 0450 Oslo, Norway;
| | - Petter Strømme
- Faculty of Medicine, University of Oslo, 0450 Oslo, Norway;
- Division of Pediatric and Adolescent Medicine, Oslo University Hospital, 0450 Oslo, Norway
| | - Eirik Frengen
- Department of Medical Genetics, Oslo University Hospital, 0450 Oslo, Norway; (D.M.); (L.D.S.S.); (I.-L.M.); (A.Y.M.S.); (A.H.)
- Faculty of Medicine, University of Oslo, 0450 Oslo, Norway;
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Akaishi T. Recently Added Frameshift Mutation in Human Monkeypox Virus (hMPXV) OPG191 Gene. TOHOKU J EXP MED 2023; 261:103-107. [PMID: 37438121 DOI: 10.1620/tjem.2023.j057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
Human monkeypox virus (hMPXV) has caused sporadic outbreaks intermittently across countries in recent years, with the largest outbreak in 2022. However, the underlying mechanisms remain unclear. This study searched for recently developed structural variants of the viral genome. A total of 22 hMPXV whole genome sequences were randomly selected from the National Center for Biotechnology Information GenBank sequence database for initial screening. As a result, a recent frameshift mutation based on a 2-base insertion in a coding region was identified at the 3' terminal of the OPG191 gene, which encodes MPXVgp168 (B7R) protein. With this insertion, the protein was prematurely truncated, and the last 11 amino acids were missing, with 3 alternative amino acids added. Among the hMPXV genome sequences registered in the GenBank database as of January 2023, 61 sequences lacked the 2-base insertion and 3,362 sequences were inserted. All 61 sequences without mutations were collected before 2020, whereas 3,358 (99.9%) of the 3,362 sequences with the insertion were collected during or after 2022. These findings imply that a 2-base insertion has recently emerged and has been fixed among the virus population that prevailed in 2022. In summary, a recently emerged frameshift mutation with a 2-base insertion was identified in hMPXV OPG191 gene. Although the structural and functional consequences of this mutation on virulence and infectivity are unknown, research on the possible associations between this mutation and recent hMPXV outbreaks is warranted.
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Affiliation(s)
- Tetsuya Akaishi
- Department of Education and Support for Regional Medicine, Tohoku University
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12
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Hashim M, Stewart H, Yu J, Banos‐Pinero B, Pagnamenta AT, Taylor JC. Genome sequencing identifies KMT2E-disrupting cryptic structural variant in a female with O'Donnell-Luria-Rodan syndrome. Clin Genet 2023; 104:390-392. [PMID: 37157895 PMCID: PMC10952294 DOI: 10.1111/cge.14355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/24/2023] [Accepted: 04/26/2023] [Indexed: 05/10/2023]
Abstract
We describe a patient from the 100,000 Genomes Project with a complex de novo structural variant within KMT2E leading to O'Donnell-Luria-Rodan syndrome. This case expands the mutational spectrum for this syndrome and highlights the importance of revisiting unsolved cases using better SV prioritisation tools and updated gene panels.
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Affiliation(s)
- Mona Hashim
- Oxford NIHR Biomedical Research Centre, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Helen Stewart
- Oxford Centre for Genomic MedicineOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Jing Yu
- Oxford NIHR Biomedical Research Centre, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Benito Banos‐Pinero
- Oxford Genetics LaboratoriesOxford University Hospitals NHS Foundation TrustOxfordUK
| | | | - Alistair T. Pagnamenta
- Oxford NIHR Biomedical Research Centre, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Jenny C. Taylor
- Oxford NIHR Biomedical Research Centre, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
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13
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Wang H, Makowski C, Zhang Y, Qi A, Kaufmann T, Smeland OB, Fiecas M, Yang J, Visscher PM, Chen CH. Chromosomal inversion polymorphisms shape human brain morphology. Cell Rep 2023; 42:112896. [PMID: 37505983 PMCID: PMC10508191 DOI: 10.1016/j.celrep.2023.112896] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 06/27/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
The impact of chromosomal inversions on human brain morphology remains underexplored. We studied 35 common inversions classified from genotypes of 33,018 adults with European ancestry. The inversions at 2p22.3, 16p11.2, and 17q21.31 reach genome-wide significance, followed by 8p23.1 and 6p21.33, in their association with cortical and subcortical morphology. The 17q21.31, 8p23.1, and 16p11.2 regions comprise the LRRC37, OR7E, and NPIP duplicated gene families. We find the 17q21.31 MAPT inversion region, known for harboring neurological risk, to be the most salient locus among common variants for shaping and patterning the cortex. Overall, we observe the inverted orientations decreasing brain size, with the exception that the 2p22.3 inversion is associated with increased subcortical volume and the 8p23.1 inversion is associated with increased motor cortex. These significant inversions are in the genomic hotspots of neuropsychiatric loci. Our findings are generalizable to 3,472 children and demonstrate inversions as essential genetic variation to understand human brain phenotypes.
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Affiliation(s)
- Hao Wang
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92093, USA
| | - Carolina Makowski
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92093, USA
| | - Yanxiao Zhang
- Ludwig Institute for Cancer Research, La Jolla, CA 92093, USA; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Anna Qi
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92093, USA
| | - Tobias Kaufmann
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, 72076 Tübingen, Germany; Norwegian Centre for Mental Disorders Research, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway
| | - Olav B Smeland
- Norwegian Centre for Mental Disorders Research, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway
| | - Mark Fiecas
- Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN 55455, USA
| | - Jian Yang
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Peter M Visscher
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Chi-Hua Chen
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92093, USA.
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14
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Romagnoli S, Bartalucci N, Vannucchi AM. Resolving complex structural variants via nanopore sequencing. Front Genet 2023; 14:1213917. [PMID: 37674481 PMCID: PMC10479017 DOI: 10.3389/fgene.2023.1213917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 07/26/2023] [Indexed: 09/08/2023] Open
Abstract
The recent development of high-throughput sequencing platforms provided impressive insights into the field of human genetics and contributed to considering structural variants (SVs) as the hallmark of genome instability, leading to the establishment of several pathologic conditions, including neoplasia and neurodegenerative and cognitive disorders. While SV detection is addressed by next-generation sequencing (NGS) technologies, the introduction of more recent long-read sequencing technologies have already been proven to be invaluable in overcoming the inaccuracy and limitations of NGS technologies when applied to resolve wide and structurally complex SVs due to the short length (100-500 bp) of the sequencing read utilized. Among the long-read sequencing technologies, Oxford Nanopore Technologies developed a sequencing platform based on a protein nanopore that allows the sequencing of "native" long DNA molecules of virtually unlimited length (typical range 1-100 Kb). In this review, we focus on the bioinformatics methods that improve the identification and genotyping of known and novel SVs to investigate human pathological conditions, discussing the possibility of introducing nanopore sequencing technology into routine diagnostics.
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Affiliation(s)
| | | | - Alessandro Maria Vannucchi
- CRIMM, Center of Research and Innovation of Myeloproliferative Neoplasms, DENOTHE Excellence Center, Careggi University Hospital and Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
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15
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Zhou B, He Y, Chen Y, Su B. Comparative Genomic Analysis Identifies Great-Ape-Specific Structural Variants and Their Evolutionary Relevance. Mol Biol Evol 2023; 40:msad184. [PMID: 37565562 PMCID: PMC10461412 DOI: 10.1093/molbev/msad184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 08/12/2023] Open
Abstract
During the origin of great apes about 14 million years ago, a series of phenotypic innovations emerged, such as the increased body size, the enlarged brain volume, the improved cognitive skill, and the diversified diet. Yet, the genomic basis of these evolutionary changes remains unclear. Utilizing the high-quality genome assemblies of great apes (including human), gibbon, and macaque, we conducted comparative genome analyses and identified 15,885 great ape-specific structural variants (GSSVs), including eight coding GSSVs resulting in the creation of novel proteins (e.g., ACAN and CMYA5). Functional annotations of the GSSV-related genes revealed the enrichment of genes involved in development and morphogenesis, especially neurogenesis and neural network formation, suggesting the potential role of GSSVs in shaping the great ape-shared traits. Further dissection of the brain-related GSSVs shows great ape-specific changes of enhancer activities and gene expression in the brain, involving a group of GSSV-regulated genes (such as NOL3) that potentially contribute to the altered brain development and function in great apes. The presented data highlight the evolutionary role of structural variants in the phenotypic innovations during the origin of the great ape lineage.
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Affiliation(s)
- Bin Zhou
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yongjie Chen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
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16
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Kosugi S, Kamatani Y, Harada K, Tomizuka K, Momozawa Y, Morisaki T, Terao C. Detection of trait-associated structural variations using short-read sequencing. Cell Genom 2023; 3:100328. [PMID: 37388916 PMCID: PMC10300613 DOI: 10.1016/j.xgen.2023.100328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 02/17/2023] [Accepted: 04/25/2023] [Indexed: 07/01/2023]
Abstract
Genomic structural variation (SV) affects genetic and phenotypic characteristics in diverse organisms, but the lack of reliable methods to detect SV has hindered genetic analysis. We developed a computational algorithm (MOPline) that includes missing call recovery combined with high-confidence SV call selection and genotyping using short-read whole-genome sequencing (WGS) data. Using 3,672 high-coverage WGS datasets, MOPline stably detected ∼16,000 SVs per individual, which is over ∼1.7-3.3-fold higher than previous large-scale projects while exhibiting a comparable level of statistical quality metrics. We imputed SVs from 181,622 Japanese individuals for 42 diseases and 60 quantitative traits. A genome-wide association study with the imputed SVs revealed 41 top-ranked or nearly top-ranked genome-wide significant SVs, including 8 exonic SVs with 5 novel associations and enriched mobile element insertions. This study demonstrates that short-read WGS data can be used to identify rare and common SVs associated with a variety of traits.
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Affiliation(s)
- Shunichi Kosugi
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
| | - Yoichiro Kamatani
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan
| | - Katsutoshi Harada
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Kohei Tomizuka
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan
| | - Takayuki Morisaki
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokane-dai, Minato-ku, Tokyo 108-8639, Japan
| | | | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- The Department of Applied Genetics, The School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
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17
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Kaivola K, Chia R, Ding J, Rasheed M, Fujita M, Menon V, Walton RL, Collins RL, Billingsley K, Brand H, Talkowski M, Zhao X, Dewan R, Stark A, Ray A, Solaiman S, Alvarez Jerez P, Malik L, Dawson TM, Rosenthal LS, Albert MS, Pletnikova O, Troncoso JC, Masellis M, Keith J, Black SE, Ferrucci L, Resnick SM, Tanaka T, Topol E, Torkamani A, Tienari P, Foroud TM, Ghetti B, Landers JE, Ryten M, Morris HR, Hardy JA, Mazzini L, D'Alfonso S, Moglia C, Calvo A, Serrano GE, Beach TG, Ferman T, Graff-Radford NR, Boeve BF, Wszolek ZK, Dickson DW, Chiò A, Bennett DA, De Jager PL, Ross OA, Dalgard CL, Gibbs JR, Traynor BJ, Scholz SW. Genome-wide structural variant analysis identifies risk loci for non-Alzheimer's dementias. Cell Genom 2023; 3:100316. [PMID: 37388914 PMCID: PMC10300553 DOI: 10.1016/j.xgen.2023.100316] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/21/2023] [Accepted: 04/06/2023] [Indexed: 07/01/2023]
Abstract
We characterized the role of structural variants, a largely unexplored type of genetic variation, in two non-Alzheimer's dementias, namely Lewy body dementia (LBD) and frontotemporal dementia (FTD)/amyotrophic lateral sclerosis (ALS). To do this, we applied an advanced structural variant calling pipeline (GATK-SV) to short-read whole-genome sequence data from 5,213 European-ancestry cases and 4,132 controls. We discovered, replicated, and validated a deletion in TPCN1 as a novel risk locus for LBD and detected the known structural variants at the C9orf72 and MAPT loci as associated with FTD/ALS. We also identified rare pathogenic structural variants in both LBD and FTD/ALS. Finally, we assembled a catalog of structural variants that can be mined for new insights into the pathogenesis of these understudied forms of dementia.
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Affiliation(s)
- Karri Kaivola
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Ruth Chia
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Jinhui Ding
- Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Memoona Rasheed
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Masashi Fujita
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, New York, NY, USA
| | - Vilas Menon
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, New York, NY, USA
| | - Ronald L. Walton
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, USA
| | - Ryan L. Collins
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (M.I.T.), Cambridge, MA, USA
- Division of Medical Sciences and Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kimberley Billingsley
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Centre for Alzheimer’s and Related Dementias, National Institute on Aging, Bethesda, MD, USA
| | - Harrison Brand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (M.I.T.), Cambridge, MA, USA
- Division of Medical Sciences and Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Michael Talkowski
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (M.I.T.), Cambridge, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Xuefang Zhao
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (M.I.T.), Cambridge, MA, USA
| | - Ramita Dewan
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Ali Stark
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Anindita Ray
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Sultana Solaiman
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Pilar Alvarez Jerez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Centre for Alzheimer’s and Related Dementias, National Institute on Aging, Bethesda, MD, USA
| | - Laksh Malik
- Centre for Alzheimer’s and Related Dementias, National Institute on Aging, Bethesda, MD, USA
| | - Ted M. Dawson
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
- Neuroregeneration and Stem Cell Programs, Institute of Cell Engineering, Johns Hopkins University Medical Center, Baltimore, MD, USA
- Department of Pharmacology and Molecular Science, Johns Hopkins University Medical Center, Baltimore, MD, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Liana S. Rosenthal
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Marilyn S. Albert
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Olga Pletnikova
- Department of Pathology and Anatomical Sciences, Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY, USA
- Department of Pathology (Neuropathology), Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Juan C. Troncoso
- Department of Pathology (Neuropathology), Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Mario Masellis
- Cognitive & Movement Disorders Clinic, Sunnybrook Health Sciences Centre, University of Toronto, 1 King’s College Circle, Room 2374, Toronto, ON, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, 2075 Bayview Avenue, Toronto, ON, Canada
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, University of Toronto, 2075 Bayview Avenue, Toronto, ON, Canada
| | - Julia Keith
- Department of Anatomical Pathology, Sunnybrook Health Sciences Centre, University of Toronto, 1 King’s College Circle, Room 2374, Toronto, ON, Canada
| | - Sandra E. Black
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, 2075 Bayview Avenue, Toronto, ON, Canada
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, University of Toronto, 2075 Bayview Avenue, Toronto, ON, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, 1 King’s College Circle, Room 2374, Toronto, ON, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, University of Toronto, 1 King’s College Circle, Room 2374, Toronto, ON, Canada
| | - Luigi Ferrucci
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Toshiko Tanaka
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA
| | - PROSPECT Consortium
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, New York, NY, USA
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (M.I.T.), Cambridge, MA, USA
- Division of Medical Sciences and Department of Medicine, Harvard Medical School, Boston, MA, USA
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Centre for Alzheimer’s and Related Dementias, National Institute on Aging, Bethesda, MD, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
- Neuroregeneration and Stem Cell Programs, Institute of Cell Engineering, Johns Hopkins University Medical Center, Baltimore, MD, USA
- Department of Pharmacology and Molecular Science, Johns Hopkins University Medical Center, Baltimore, MD, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University Medical Center, Baltimore, MD, USA
- Department of Pathology and Anatomical Sciences, Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY, USA
- Department of Pathology (Neuropathology), Johns Hopkins University Medical Center, Baltimore, MD, USA
- Cognitive & Movement Disorders Clinic, Sunnybrook Health Sciences Centre, University of Toronto, 1 King’s College Circle, Room 2374, Toronto, ON, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, 2075 Bayview Avenue, Toronto, ON, Canada
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, University of Toronto, 2075 Bayview Avenue, Toronto, ON, Canada
- Department of Anatomical Pathology, Sunnybrook Health Sciences Centre, University of Toronto, 1 King’s College Circle, Room 2374, Toronto, ON, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, 1 King’s College Circle, Room 2374, Toronto, ON, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, University of Toronto, 1 King’s College Circle, Room 2374, Toronto, ON, Canada
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
- Scripps Research Translational Institute, Scripps Research, La Jolla, CA, USA
- Translational Immunology, Research Programs Unit, University of Helsinki, Helsinki, Finland
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, University College London, London, UK
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
- UCL Movement Disorders Centre, University College London, London, UK
- UK Dementia Research Institute, Department of Neurogenerative Disease and Reta Lila Weston Institute, London, UK
- Institute of Advanced Study, The Hong Kong University of Science and Technology, Hong Kong SAR, China
- Maggiore della Carita University Hospital, Novara, Italy
- Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
- Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy
- Azienda Ospedaliero Universitaria Città, della Salute e della Scienza, Corso Bramante, 88, Turin, Italy
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, AZ, USA
- Department of Psychiatry and Psychology, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, USA
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, USA
- Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA
- Institute of Cognitive Sciences and Technologies, C.N.R., Via S. Martino della Battaglia, 44, Rome, Italy
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The American Genome Center, Collaborative Health Initiative Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- RNA Therapeutics Laboratory, Therapeutics Development Branch, National Center for Advancing Translational Sciences, Rockville, MD, USA
| | - Eric Topol
- Scripps Research Translational Institute, Scripps Research, La Jolla, CA, USA
| | - Ali Torkamani
- Scripps Research Translational Institute, Scripps Research, La Jolla, CA, USA
| | - Pentti Tienari
- Translational Immunology, Research Programs Unit, University of Helsinki, Helsinki, Finland
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Tatiana M. Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernardino Ghetti
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John E. Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Mina Ryten
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, University College London, London, UK
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK
| | - Huw R. Morris
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
- UCL Movement Disorders Centre, University College London, London, UK
| | - John A. Hardy
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
- UCL Movement Disorders Centre, University College London, London, UK
- UK Dementia Research Institute, Department of Neurogenerative Disease and Reta Lila Weston Institute, London, UK
- Institute of Advanced Study, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | | | - Sandra D'Alfonso
- Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
| | - Cristina Moglia
- Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy
- Azienda Ospedaliero Universitaria Città, della Salute e della Scienza, Corso Bramante, 88, Turin, Italy
| | - Andrea Calvo
- Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy
- Azienda Ospedaliero Universitaria Città, della Salute e della Scienza, Corso Bramante, 88, Turin, Italy
| | - Geidy E. Serrano
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, AZ, USA
| | - Thomas G. Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, AZ, USA
| | - Tanis Ferman
- Department of Psychiatry and Psychology, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, USA
| | | | | | - Zbigniew K. Wszolek
- Institute of Cognitive Sciences and Technologies, C.N.R., Via S. Martino della Battaglia, 44, Rome, Italy
| | - Dennis W. Dickson
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, USA
| | - Adriano Chiò
- Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy
- Azienda Ospedaliero Universitaria Città, della Salute e della Scienza, Corso Bramante, 88, Turin, Italy
- Institute of Cognitive Sciences and Technologies, C.N.R., Via S. Martino della Battaglia, 44, Rome, Italy
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Philip L. De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, New York, NY, USA
| | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, USA
| | - Clifton L. Dalgard
- Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The American Genome Center, Collaborative Health Initiative Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - J. Raphael Gibbs
- Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Bryan J. Traynor
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
- RNA Therapeutics Laboratory, Therapeutics Development Branch, National Center for Advancing Translational Sciences, Rockville, MD, USA
| | - Sonja W. Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
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18
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Ek M, Nilsson D, Engvall M, Malmgren H, Thonberg H, Pettersson M, Anderlid BM, Hammarsjö A, Helgadottir HT, Arnardottir S, Naess K, Nennesmo I, Paucar M, Hjartarson HT, Press R, Solders G, Sejersen T, Lindstrand A, Kvarnung M. Genome sequencing with comprehensive variant calling identifies structural variants and repeat expansions in a large fraction of individuals with ataxia and/or neuromuscular disorders. Front Neurol 2023; 14:1170005. [PMID: 37273706 PMCID: PMC10234573 DOI: 10.3389/fneur.2023.1170005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 04/21/2023] [Indexed: 06/06/2023] Open
Abstract
Introduction Neuromuscular disorders (NMDs) have a heterogeneous etiology. A genetic diagnosis is key to personalized healthcare and access to targeted treatment for the affected individuals. Methods In this study, 861 patients with NMDs were analyzed with genome sequencing and comprehensive variant calling including single nucleotide variants, small insertions/deletions (SNVs/INDELs), and structural variants (SVs) in a panel of 895 NMD genes, as well as short tandem repeat expansions (STRs) at 28 loci. In addition, for unsolved cases with an unspecific clinical presentation, the analysis of a panel with OMIM disease genes was added. Results In the cohort, 27% (232/861) of the patients harbored pathogenic variants, of which STRs and SVs accounted for one-third of the patients (71/232). The variants were found in 107 different NMD genes. Furthermore, 18 pediatric patients harbored pathogenic variants in non-NMD genes. Discussion Our results highlight that for children with unspecific hypotonia, a genome-wide analysis rather than a disease-based gene panel should be considered as a diagnostic approach. More importantly, our results clearly show that it is crucial to include STR- and SV-analyses in the diagnostics of patients with neuromuscular disorders.
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Affiliation(s)
- Marlene Ek
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Daniel Nilsson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Science for Life Laboratory, Department of Molecular Medicine and Surgery, Karolinska Institutet Science Park, Solna, Sweden
| | - Martin Engvall
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Karolinska University Hospital, Centre for Inherited Metabolic Diseases, Stockholm, Sweden
| | - Helena Malmgren
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Håkan Thonberg
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Pettersson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Britt-Marie Anderlid
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Hammarsjö
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Hafdis T. Helgadottir
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | | | - Karin Naess
- Karolinska University Hospital, Centre for Inherited Metabolic Diseases, Stockholm, Sweden
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Inger Nennesmo
- Department of Oncology-Pathology, Karolinska University Hospital, Stockholm, Sweden
| | - Martin Paucar
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Helgi Thor Hjartarson
- Department of Neuropediatrics, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Rayomand Press
- Department of Clinical Neurophysiology, Karolinska University Hospital, Stockholm, Sweden
| | - Göran Solders
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neurophysiology, Karolinska University Hospital, Stockholm, Sweden
| | - Thomas Sejersen
- Department of Neuropediatrics, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Anna Lindstrand
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Malin Kvarnung
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
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19
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Comaills V, Castellano-Pozo M. Chromosomal Instability in Genome Evolution: From Cancer to Macroevolution. Biology (Basel) 2023; 12:biology12050671. [PMID: 37237485 DOI: 10.3390/biology12050671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023]
Abstract
The integrity of the genome is crucial for the survival of all living organisms. However, genomes need to adapt to survive certain pressures, and for this purpose use several mechanisms to diversify. Chromosomal instability (CIN) is one of the main mechanisms leading to the creation of genomic heterogeneity by altering the number of chromosomes and changing their structures. In this review, we will discuss the different chromosomal patterns and changes observed in speciation, in evolutional biology as well as during tumor progression. By nature, the human genome shows an induction of diversity during gametogenesis but as well during tumorigenesis that can conclude in drastic changes such as the whole genome doubling to more discrete changes as the complex chromosomal rearrangement chromothripsis. More importantly, changes observed during speciation are strikingly similar to the genomic evolution observed during tumor progression and resistance to therapy. The different origins of CIN will be treated as the importance of double-strand breaks (DSBs) or the consequences of micronuclei. We will also explain the mechanisms behind the controlled DSBs, and recombination of homologous chromosomes observed during meiosis, to explain how errors lead to similar patterns observed during tumorigenesis. Then, we will also list several diseases associated with CIN, resulting in fertility issues, miscarriage, rare genetic diseases, and cancer. Understanding better chromosomal instability as a whole is primordial for the understanding of mechanisms leading to tumor progression.
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Affiliation(s)
- Valentine Comaills
- Andalusian Center for Molecular Biology and Regenerative Medicine-CABIMER, University of Pablo de Olavide-University of Seville-CSIC, Junta de Andalucía, 41092 Seville, Spain
| | - Maikel Castellano-Pozo
- Andalusian Center for Molecular Biology and Regenerative Medicine-CABIMER, University of Pablo de Olavide-University of Seville-CSIC, Junta de Andalucía, 41092 Seville, Spain
- Genetic Department, Faculty of Biology, University of Seville, 41080 Seville, Spain
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20
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Nazarenko MS, Sleptcov AA, Zarubin AA, Salakhov RR, Shevchenko AI, Tmoyan NA, Elisaphenko EA, Zubkova ES, Zheltysheva NV, Ezhov MV, Kukharchuk VV, Parfyonova YV, Zakian SM, Zakharova IS. Calling and Phasing of Single-Nucleotide and Structural Variants of the LDLR Gene Using Oxford Nanopore MinION. Int J Mol Sci 2023; 24. [PMID: 36901902 DOI: 10.3390/ijms24054471] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/27/2023] [Accepted: 02/22/2023] [Indexed: 03/12/2023] Open
Abstract
The LDLR locus has clinical significance for lipid metabolism, Mendelian familial hypercholesterolemia (FH), and common lipid metabolism-related diseases (coronary artery disease and Alzheimer's disease), but its intronic and structural variants are underinvestigated. The aim of this study was to design and validate a method for nearly complete sequencing of the LDLR gene using long-read Oxford Nanopore sequencing technology (ONT). Five PCR amplicons from LDLR of three patients with compound heterozygous FH were analyzed. We used standard workflows of EPI2ME Labs for variant calling. All rare missense and small deletion variants detected previously by massively parallel sequencing and Sanger sequencing were identified using ONT. One patient had a 6976 bp deletion (exons 15 and 16) that was detected by ONT with precisely located breakpoints between AluY and AluSx1. Trans-heterozygous associations between mutation c.530C>T and c.1054T>C, c.2141-966_2390-330del, and c.1327T>C, and between mutations c.1246C>T and c.940+3_940+6del of LDLR, were confirmed. We demonstrated the ability of ONT to phase variants, thereby enabling haplotype assignment for LDLR with personalized resolution. The ONT-based method was able to detect exonic variants with the additional benefit of intronic analysis in one run. This method can serve as an efficient and cost-effective tool for diagnosing FH and conducting research on extended LDLR haplotype reconstruction.
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21
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Witt D, Faust U, Strobl-Wildemann G, Sturm M, Buchert R, Zuleger T, Admard J, Casadei N, Ossowski S, Haack TB, Rieß O, Schroeder C. Genome sequencing identifies complex structural MLH1 variant in unsolved Lynch syndrome. Mol Genet Genomic Med 2023:e2151. [PMID: 36760167 DOI: 10.1002/mgg3.2151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 12/15/2022] [Accepted: 01/25/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Lynch syndrome is one of the most common cancer predisposition syndromes. It is caused by inherited changes in the mismatch repair pathway. With current diagnostic approaches, a causative genetic variant can be found in less than 50% of cases. A correct diagnosis is important for ensuring that an appropriate surveillance program is used and that additional high-risk family members are identified. METHODS We used clinical genome sequencing on DNA from blood and subsequent transcriptome sequencing for confirmation. Data were analyzed using the megSAP pipeline and classified according to basic criteria in diagnostic laboratories. Segregation analyses in family members were conducted via breakpoint PCR. RESULTS We present a family with the clinical diagnosis of Lynch syndrome in which standard diagnostic tests, such as panel or exome sequencing, were unable to detect the underlying genetic variant. Genome sequencing in the index patient confirmed the previous diagnostic results and identified an additional complex rearrangement with intronic breakpoints involving MLH1 and its neighboring gene LRRFIP2. The previously undetected structural variant was classified as medically relevant. Segregation analysis in the family identified additional at-risk individuals which were offered intensified cancer screening. DISCUSSION AND CONCLUSIONS This case illustrates the advantages of clinical genome sequencing in detecting structural variants compared with current diagnostic approaches. Although structural variants are rare in Lynch syndrome families, they seem to be underreported, in part because of technical challenges. Clinical genome sequencing offers a comprehensive genetic characterization detecting a wide range of genetic variants.
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Affiliation(s)
- Dennis Witt
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Ulrike Faust
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | | | - Marc Sturm
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Rebecca Buchert
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Theresia Zuleger
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Jakob Admard
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Nicolas Casadei
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany.,NGS Competence Center Tübingen, Tübingen, Germany
| | - Stephan Ossowski
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Olaf Rieß
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Christopher Schroeder
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
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22
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Zamariolli M, Auwerx C, Sadler MC, van der Graaf A, Lepik K, Schoeler T, Moysés-Oliveira M, Dantas AG, Melaragno MI, Kutalik Z. The impact of 22q11.2 copy-number variants on human traits in the general population. Am J Hum Genet 2023; 110:300-313. [PMID: 36706759 PMCID: PMC9943723 DOI: 10.1016/j.ajhg.2023.01.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 01/03/2023] [Indexed: 01/27/2023] Open
Abstract
While extensively studied in clinical cohorts, the phenotypic consequences of 22q11.2 copy-number variants (CNVs) in the general population remain understudied. To address this gap, we performed a phenome-wide association scan in 405,324 unrelated UK Biobank (UKBB) participants by using CNV calls from genotyping array. We mapped 236 Human Phenotype Ontology terms linked to any of the 90 genes encompassed by the region to 170 UKBB traits and assessed the association between these traits and the copy-number state of 504 genotyping array probes in the region. We found significant associations for eight continuous and nine binary traits associated under different models (duplication-only, deletion-only, U-shape, and mirror models). The causal effect of the expression level of 22q11.2 genes on associated traits was assessed through transcriptome-wide Mendelian randomization (TWMR), revealing that increased expression of ARVCF increased BMI. Similarly, increased DGCR6 expression causally reduced mean platelet volume, in line with the corresponding CNV effect. Furthermore, cross-trait multivariable Mendelian randomization (MVMR) suggested a predominant role of genuine (horizontal) pleiotropy in the CNV region. Our findings show that within the general population, 22q11.2 CNVs are associated with traits previously linked to genes in the region, and duplications and deletions act upon traits in different fashions. We also showed that gain or loss of distinct segments within 22q11.2 may impact a trait under different association models. Our results have provided new insights to help further the understanding of the complex 22q11.2 region.
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Affiliation(s)
- Malú Zamariolli
- Genetics Division, Universidade Federal de São Paulo, São Paulo, Brazil; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Chiara Auwerx
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland; Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Marie C Sadler
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
| | | | - Kaido Lepik
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Tabea Schoeler
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland; Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | | | - Anelisa G Dantas
- Genetics Division, Universidade Federal de São Paulo, São Paulo, Brazil
| | | | - Zoltán Kutalik
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
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23
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Parl FF. Different Tumor Types Share a Common Nuclear Map of Chromosome Territories. Cancer Inform 2023; 22:11769351221148592. [PMID: 36762285 PMCID: PMC9903037 DOI: 10.1177/11769351221148592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/13/2022] [Indexed: 01/31/2023] Open
Abstract
Different tumor types are characterized by unique histopathological patterns including distinctive nuclear architectures. I hypothesized that the difference in nuclear appearance is reflected in different nuclear maps of chromosome territories, the discrete regions occupied by individual chromosomes in the interphase nucleus. To test this hypothesis, I used interchromosomal translocations (ITLs) as an analytical tool to map chromosome territories in 11 different tumor types from the TCGA PanCancer database encompassing 6003 tumors with 5295 ITLs. For each chromosome I determined the number and percentage of all ITLs for any given tumor type. Chromosomes were ranked according to the frequency and percentage of ITLs per chromosome. The ranking showed similar patterns for all tumor types. Chromosomes 1, 8, 11, 17, and 19 were ranked in the top quarter, accounting for 35.2% of 5295 ITLs, whereas chromosomes 13, 15, 18, 21, and X were in the bottom quarter, accounting for only 10.5% ITLs. The correlation between the chromosome ranking in the total group of 6003 tumors and the ranking in individual tumor types was significant, ranging from P < .0001 to .0033. Thus, contrary to my hypothesis, different tumor types share a common nuclear map of chromosome territories. Based on the large number of ITLs in 11 different types of malignancy one can discern a shared pattern of chromosome territories in cancer and propose a probabilistic model of chromosomes 1, 8, 11, 17, 19 in the center of the nucleus and chromosomes 13, 15, 18, 21, X at the periphery.
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Affiliation(s)
- Fritz F Parl
- Fritz F Parl, Departments of Pathology, Microbiology & Immunology, Vanderbilt University Medical Center, C-3322 MCN, 1161 21st Ave. South, Nashville, TN 37232, USA.
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24
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Bastide H, López-Villavicencio M, Ogereau D, Lledo J, Dutrillaux AM, Debat V, Llaurens V. Genome assembly of 3 Amazonian Morpho butterfly species reveals Z-chromosome rearrangements between closely related species living in sympatry. Gigascience 2022; 12:7175374. [PMID: 37216769 DOI: 10.1093/gigascience/giad033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/13/2023] [Accepted: 05/12/2023] [Indexed: 05/24/2023] Open
Abstract
The genomic processes enabling speciation and species coexistence in sympatry are still largely unknown. Here we describe the whole-genome sequencing and assembly of 3 closely related species from the butterfly genus Morpho: Morpho achilles (Linnaeus, 1758), Morpho helenor (Cramer, 1776), and Morpho deidamia (Höbner, 1819). These large blue butterflies are emblematic species of the Amazonian rainforest. They live in sympatry in a wide range of their geographical distribution and display parallel diversification of dorsal wing color pattern, suggesting local mimicry. By sequencing, assembling, and annotating their genomes, we aim at uncovering prezygotic barriers preventing gene flow between these sympatric species. We found a genome size of 480 Mb for the 3 species and a chromosomal number ranging from 2n = 54 for M. deidamia to 2n = 56 for M. achilles and M. helenor. We also detected inversions on the sex chromosome Z that were differentially fixed between species, suggesting that chromosomal rearrangements may contribute to their reproductive isolation. The annotation of their genomes allowed us to recover in each species at least 12,000 protein-coding genes and to discover duplications of genes potentially involved in prezygotic isolation like genes controlling color discrimination (L-opsin). Altogether, the assembly and the annotation of these 3 new reference genomes open new research avenues into the genomic architecture of speciation and reinforcement in sympatry, establishing Morpho butterflies as a new eco-evolutionary model.
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Affiliation(s)
| | - Manuela López-Villavicencio
- Institut de Systématique, Evolution et Biodiversité (UMR 7205 CNRS/MNHN/SU/EPHE/UA), Muséum National d'Histoire Naturelle-CP50, 75005 Paris, France
| | | | - Joanna Lledo
- GeT-PlaGe, Bât G2, INRAe, 31326 Castanet-Tolosan Cedex, France
| | - Anne-Marie Dutrillaux
- Institut de Systématique, Evolution et Biodiversité (UMR 7205 CNRS/MNHN/SU/EPHE/UA), Muséum National d'Histoire Naturelle-CP50, 75005 Paris, France
| | - Vincent Debat
- Institut de Systématique, Evolution et Biodiversité (UMR 7205 CNRS/MNHN/SU/EPHE/UA), Muséum National d'Histoire Naturelle-CP50, 75005 Paris, France
| | - Violaine Llaurens
- Institut de Systématique, Evolution et Biodiversité (UMR 7205 CNRS/MNHN/SU/EPHE/UA), Muséum National d'Histoire Naturelle-CP50, 75005 Paris, France
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25
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Lötter A, Duong TA, Candotti J, Mizrachi E, Wegrzyn JL, Myburg AA. Haplogenome assembly reveals structural variation in Eucalyptus interspecific hybrids. Gigascience 2022; 12:giad064. [PMID: 37632754 PMCID: PMC10460159 DOI: 10.1093/gigascience/giad064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/15/2023] [Accepted: 07/27/2023] [Indexed: 08/28/2023] Open
Abstract
BACKGROUND De novo phased (haplo)genome assembly using long-read DNA sequencing data has improved the detection and characterization of structural variants (SVs) in plant and animal genomes. Able to span across haplotypes, long reads allow phased, haplogenome assembly in highly outbred organisms such as forest trees. Eucalyptus tree species and interspecific hybrids are the most widely planted hardwood trees with F1 hybrids of Eucalyptus grandis and E. urophylla forming the bulk of fast-growing pulpwood plantations in subtropical regions. The extent of structural variation and its effect on interspecific hybridization is unknown in these trees. As a first step towards elucidating the extent of structural variation between the genomes of E. grandis and E. urophylla, we sequenced and assembled the haplogenomes contained in an F1 hybrid of the two species. FINDINGS Using Nanopore sequencing and a trio-binning approach, we assembled the separate haplogenomes (566.7 Mb and 544.5 Mb) to 98.0% BUSCO completion. High-density SNP genetic linkage maps of both parents allowed scaffolding of 88.0% of the haplogenome contigs into 11 pseudo-chromosomes (scaffold N50 of 43.8 Mb and 42.5 Mb for the E. grandis and E. urophylla haplogenomes, respectively). We identify 48,729 SVs between the two haplogenomes providing the first detailed insight into genome structural rearrangement in these species. The two haplogenomes have similar gene content, 35,572 and 33,915 functionally annotated genes, of which 34.7% are contained in genome rearrangements. CONCLUSIONS Knowledge of SV and haplotype diversity in the two species will form the basis for understanding the genetic basis of hybrid superiority in these trees.
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Affiliation(s)
- Anneri Lötter
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private bag X20, Pretoria 0028, South Africa
| | - Tuan A Duong
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private bag X20, Pretoria 0028, South Africa
| | - Julia Candotti
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private bag X20, Pretoria 0028, South Africa
| | - Eshchar Mizrachi
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private bag X20, Pretoria 0028, South Africa
| | - Jill L Wegrzyn
- Department of Ecology and Evolutionary Biology, Institute for Systems Genomics: Computational Biology Core, University of Connecticut, Storrs, CT 06269, USA
| | - Alexander A Myburg
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private bag X20, Pretoria 0028, South Africa
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26
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Espejo Valle-Inclan J, Besselink NJ, de Bruijn E, Cameron DL, Ebler J, Kutzera J, van Lieshout S, Marschall T, Nelen M, Priestley P, Renkens I, Roemer MG, van Roosmalen MJ, Wenger AM, Ylstra B, Fijneman RJ, Kloosterman WP, Cuppen E. A multi-platform reference for somatic structural variation detection. Cell Genom 2022; 2:100139. [PMID: 36778136 PMCID: PMC9903816 DOI: 10.1016/j.xgen.2022.100139] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 05/06/2021] [Accepted: 05/06/2022] [Indexed: 10/18/2022]
Abstract
Accurate detection of somatic structural variation (SV) in cancer genomes remains a challenging problem. This is in part due to the lack of high-quality, gold-standard datasets that enable the benchmarking of experimental approaches and bioinformatic analysis pipelines. Here, we performed somatic SV analysis of the paired melanoma and normal lymphoblastoid COLO829 cell lines using four different sequencing technologies. Based on the evidence from multiple technologies combined with extensive experimental validation, we compiled a comprehensive set of carefully curated and validated somatic SVs, comprising all SV types. We demonstrate the utility of this resource by determining the SV detection performance as a function of tumor purity and sequence depth, highlighting the importance of assessing these parameters in cancer genomics projects. The truth somatic SV dataset as well as the underlying raw multi-platform sequencing data are freely available and are an important resource for community somatic benchmarking efforts.
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Affiliation(s)
| | - Nicolle J.M. Besselink
- Center for Molecular Medicine and Oncode Institute, UMC Utrecht, Utrecht, the Netherlands
| | | | - Daniel L. Cameron
- Hartwig Medical Foundation, Amsterdam, the Netherlands,Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia
| | - Jana Ebler
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Joachim Kutzera
- Center for Molecular Medicine and Oncode Institute, UMC Utrecht, Utrecht, the Netherlands
| | | | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Marcel Nelen
- Department of Human Genetics, Radboud UMC, Nijmegen, the Netherlands
| | | | - Ivo Renkens
- Center for Molecular Medicine and Oncode Institute, UMC Utrecht, Utrecht, the Netherlands
| | - Margaretha G.M. Roemer
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | | | | | - Bauke Ylstra
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Remond J.A. Fijneman
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Wigard P. Kloosterman
- Center for Molecular Medicine and Oncode Institute, UMC Utrecht, Utrecht, the Netherlands,Corresponding author
| | - Edwin Cuppen
- Center for Molecular Medicine and Oncode Institute, UMC Utrecht, Utrecht, the Netherlands,Hartwig Medical Foundation, Amsterdam, the Netherlands,Corresponding author
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27
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Sharo AG, Hu Z, Sunyaev SR, Brenner SE. StrVCTVRE: A supervised learning method to predict the pathogenicity of human genome structural variants. Am J Hum Genet 2022; 109:195-209. [PMID: 35032432 PMCID: PMC8874149 DOI: 10.1016/j.ajhg.2021.12.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 12/09/2021] [Indexed: 12/12/2022] Open
Abstract
Whole-genome sequencing resolves many clinical cases where standard diagnostic methods have failed. However, at least half of these cases remain unresolved after whole-genome sequencing. Structural variants (SVs; genomic variants larger than 50 base pairs) of uncertain significance are the genetic cause of a portion of these unresolved cases. As sequencing methods using long or linked reads become more accessible and SV detection algorithms improve, clinicians and researchers are gaining access to thousands of reliable SVs of unknown disease relevance. Methods to predict the pathogenicity of these SVs are required to realize the full diagnostic potential of long-read sequencing. To address this emerging need, we developed StrVCTVRE to distinguish pathogenic SVs from benign SVs that overlap exons. In a random forest classifier, we integrated features that capture gene importance, coding region, conservation, expression, and exon structure. We found that features such as expression and conservation are important but are absent from SV classification guidelines. We leveraged multiple resources to construct a size-matched training set of rare, putatively benign and pathogenic SVs. StrVCTVRE performs accurately across a wide SV size range on independent test sets, which will allow clinicians and researchers to eliminate about half of SVs from consideration while retaining a 90% sensitivity. We anticipate clinicians and researchers will use StrVCTVRE to prioritize SVs in probands where no SV is immediately compelling, empowering deeper investigation into novel SVs to resolve cases and understand new mechanisms of disease. StrVCTVRE runs rapidly and is publicly available.
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Affiliation(s)
- Andrew G Sharo
- Biophysics Graduate Group, University of California, Berkeley, Berkeley, CA 94720, USA; Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Zhiqiang Hu
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Shamil R Sunyaev
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Steven E Brenner
- Biophysics Graduate Group, University of California, Berkeley, Berkeley, CA 94720, USA; Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
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28
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Liu L, Zhang K, Bai J, Lu J, Lu X, Hu J, Pan C, He S, Yuan J, Zhang Y, Zhang M, Guo Y, Wang X, Huang Z, Du Y, Cheng F, Li J. All-flesh fruit in tomato is controlled by reduced expression dosage of AFF through a structural variant mutation in the promoter. J Exp Bot 2022; 73:123-138. [PMID: 34490889 PMCID: PMC8730696 DOI: 10.1093/jxb/erab401] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 09/06/2021] [Indexed: 06/13/2023]
Abstract
The formation of locule gel is an important process in tomato and is a typical characteristic of berry fruit. In this study, we examined a natural tomato mutant that produces all-flesh fruit (AFF) in which the locule tissue remains in a solid state during fruit development. We constructed different genetic populations to fine-map the causal gene for this trait and identified SlMBP3 as the locus conferring the locule gel formation, which we rename as AFF. We determined the causal mutation as a 416-bp deletion in the promoter region of AFF, which reduces its expression dosage. Generally, this sequence is highly conserved among Solanaceae, as well as within the tomato germplasm. Using BC6 near-isogenic lines, we determined that the reduced expression dosage of AFF did not affect the normal development of seeds, whilst producing unique, non-liquefied locule tissue that was distinct from that of normal tomatoes in terms of metabolic components. Combined analysis using mRNA-seq and metabolomics indicated the importance of AFF in locule tissue liquefaction. Our findings provide insights into fruit-type differentiation in Solanaceae crops and also present the basis for future applications of AFF in tomato breeding programs.
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Affiliation(s)
- Lei Liu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Kang Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jinrui Bai
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jinghua Lu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiaoxiao Lu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Junling Hu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Chunyang Pan
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shumin He
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jiale Yuan
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yiyue Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Min Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yanmei Guo
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiaoxuan Wang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zejun Huang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yongchen Du
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Feng Cheng
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Junming Li
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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29
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Gabrielaite M, Torp MH, Rasmussen MS, Andreu-Sánchez S, Vieira FG, Pedersen CB, Kinalis S, Madsen MB, Kodama M, Demircan GS, Simonyan A, Yde CW, Olsen LR, Marvig RL, Østrup O, Rossing M, Nielsen FC, Winther O, Bagger FO. A Comparison of Tools for Copy-Number Variation Detection in Germline Whole Exome and Whole Genome Sequencing Data. Cancers (Basel) 2021; 13:cancers13246283. [PMID: 34944901 PMCID: PMC8699073 DOI: 10.3390/cancers13246283] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/03/2021] [Accepted: 12/08/2021] [Indexed: 12/28/2022] Open
Abstract
Copy-number variations (CNVs) have important clinical implications for several diseases and cancers. Relevant CNVs are hard to detect because common structural variations define large parts of the human genome. CNV calling from short-read sequencing would allow single protocol full genomic profiling. We reviewed 50 popular CNV calling tools and included 11 tools for benchmarking in a reference cohort encompassing 39 whole genome sequencing (WGS) samples paired current clinical standard-SNP-array based CNV calling. Additionally, for nine samples we also performed whole exome sequencing (WES), to address the effect of sequencing protocol on CNV calling. Furthermore, we included Gold Standard reference sample NA12878, and tested 12 samples with CNVs confirmed by multiplex ligation-dependent probe amplification (MLPA). Tool performance varied greatly in the number of called CNVs and bias for CNV lengths. Some tools had near-perfect recall of CNVs from arrays for some samples, but poor precision. Several tools had better performance for NA12878, which could be a result of overfitting. We suggest combining the best tools also based on different methodologies: GATK gCNV, Lumpy, DELLY, and cn.MOPS. Reducing the total number of called variants could potentially be assisted by the use of background panels for filtering of frequently called variants.
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Affiliation(s)
- Migle Gabrielaite
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Mathias Husted Torp
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Malthe Sebro Rasmussen
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Sergio Andreu-Sánchez
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Filipe Garrett Vieira
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Christina Bligaard Pedersen
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Ørsteds Pl. 345C, 2800 Kgs. Lyngby, Denmark
| | - Savvas Kinalis
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Majbritt Busk Madsen
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Miyako Kodama
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Gül Sude Demircan
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Arman Simonyan
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Christina Westmose Yde
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Lars Rønn Olsen
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Ørsteds Pl. 345C, 2800 Kgs. Lyngby, Denmark
| | - Rasmus L. Marvig
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Olga Østrup
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Maria Rossing
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
- Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Finn Cilius Nielsen
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
| | - Ole Winther
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
- Bioinformatics Centre, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark
- Section for Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Matematiktorvet 303B, 2800 Kgs. Lyngby, Denmark
| | - Frederik Otzen Bagger
- Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark; (M.G.); (M.H.T.); (M.S.R.); (S.A.-S.); (F.G.V.); (C.B.P.); (S.K.); (M.B.M.); (M.K.); (G.S.D.); (A.S.); (C.W.Y.); (L.R.O.); (R.L.M.); (O.Ø.); (M.R.); (F.C.N.); (O.W.)
- Department of Biomedicine, UKBB Universitats-Kinderspital Basel, 4031 Basel, Switzerland
- Swiss Institute of Bioinformatics, Hebelstrasse 20, 4031 Basel, Switzerland
- Correspondence:
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30
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Tozaki T, Ohnuma A, Kikuchi M, Ishige T, Kakoi H, Hirota K, Kusano K, Nagata S. Simulated validation of intron-less transgene detection using DELLY for gene-doping control in horse sports. Anim Genet 2021; 52:759-761. [PMID: 34339052 DOI: 10.1111/age.13127] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/22/2021] [Indexed: 12/31/2022]
Abstract
Gene doping is prohibited in horseracing. In a previous study, we developed a method for non-targeted transgene detection using DELLY, which is based on split-read (SR) and paired-end (PE) algorithms to detect structural variants, on WGS data. In this study, we validated the detection sensitivity of DELLY using artificially generated sequence data of 12 target genes. With DELLY, at least one intron was detected as a deletion in eight targeted genes using the 150 bp PE read WGS data, whereas all targeted genes were detected by DELLY using the 100 bp PE read data. The detection sensitivity was higher in 100 bp PE reads than in 150 bp PE reads, despite a lower total sequence coverage, probably because of mismatch tolerance between the mapped reads and reference genome. In addition, it was observed that the average intron size detected by SR alone was 293 bp and that that detected by both SR and PE was 8924 bp. Thus, we showed that transgenes with various intron-exon structures could be detected using DELLY, suggesting its application in gene-doping control in horses.
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Affiliation(s)
- T Tozaki
- Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi, 320-0851, Japan
| | - A Ohnuma
- Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi, 320-0851, Japan
| | - M Kikuchi
- Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi, 320-0851, Japan
| | - T Ishige
- Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi, 320-0851, Japan
| | - H Kakoi
- Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi, 320-0851, Japan
| | - K Hirota
- Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi, 320-0851, Japan
| | - K Kusano
- Equine Department, Japan Racing Association, 6-11-1 Roppongi, Minato, Tokyo, 106-8401, Japan
| | - S Nagata
- Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi, 320-0851, Japan
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31
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Chin HL, O'Neill K, Louie K, Brown L, Schlade-Bartusiak K, Eydoux P, Rupps R, Farahani A, Boerkoel CF, Jones SJM. An approach to rapid characterization of DMD copy number variants for prenatal risk assessment. Am J Med Genet A 2021; 185:2541-2545. [PMID: 34018669 DOI: 10.1002/ajmg.a.62349] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 03/19/2021] [Accepted: 04/22/2021] [Indexed: 12/18/2022]
Abstract
Prenatal detection of structural variants of uncertain significance, including copy number variants (CNV), challenges genetic counseling, and creates ambiguity for expectant parents. In Duchenne muscular dystrophy, variant classification and phenotypic severity of CNVs are currently assessed by familial segregation, prediction of the effect on the reading frame, and precedent data. Delineation of pathogenicity by familial segregation is limited by time and suitable family members, whereas analytical tools can rapidly delineate potential consequences of variants. We identified a duplication of uncertain significance encompassing a portion of the dystrophin gene (DMD) in an unaffected mother and her male fetus. Using long-read whole genome sequencing and alignment of short reads, we rapidly defined the precise breakpoints of this variant in DMD and could provide timely counseling. The benign nature of the variant was substantiated, more slowly, by familial segregation to a healthy maternal uncle. We find long-read whole genome sequencing of clinical utility in a prenatal setting for accurate and rapid characterization of structural variants, specifically a duplication involving DMD.
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Affiliation(s)
- Hui-Lin Chin
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada.,Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, Singapore
| | - Kieran O'Neill
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Kristal Louie
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada
| | - Lindsay Brown
- Department of Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kamilla Schlade-Bartusiak
- Department of Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Patrice Eydoux
- Department of Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rosemarie Rupps
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada
| | - Ali Farahani
- Preventum Personalized Healthcare, Vancouver, British Columbia, Canada
| | - Cornelius F Boerkoel
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada
| | - Steven J M Jones
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada.,Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
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32
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Berdan EL, Blanckaert A, Slotte T, Suh A, Westram AM, Fragata I. Unboxing mutations: Connecting mutation types with evolutionary consequences. Mol Ecol 2021; 30:2710-2723. [PMID: 33955064 DOI: 10.1111/mec.15936] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 03/30/2021] [Accepted: 04/20/2021] [Indexed: 01/09/2023]
Abstract
A key step in understanding the genetic basis of different evolutionary outcomes (e.g., adaptation) is to determine the roles played by different mutation types (e.g., SNPs, translocations and inversions). To do this we must simultaneously consider different mutation types in an evolutionary framework. Here, we propose a research framework that directly utilizes the most important characteristics of mutations, their population genetic effects, to determine their relative evolutionary significance in a given scenario. We review known population genetic effects of different mutation types and show how these may be connected to different evolutionary outcomes. We provide examples of how to implement this framework and pinpoint areas where more data, theory and synthesis are needed. Linking experimental and theoretical approaches to examine different mutation types simultaneously is a critical step towards understanding their evolutionary significance.
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Affiliation(s)
- Emma L Berdan
- Department of Ecology, Environment and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden
| | | | - Tanja Slotte
- Department of Ecology, Environment and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden
| | - Alexander Suh
- School of Biological Sciences - Organisms and the Environment, University of East Anglia, Norwich, UK.,Department of Organismal Biology - Systematic Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Anja M Westram
- IST Austria, Klosterneuburg, Austria.,Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | - Inês Fragata
- cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
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33
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Butty AM, Chud TCS, Cardoso DF, Lopes LSF, Miglior F, Schenkel FS, Cánovas A, Häfliger IM, Drögemüller C, Stothard P, Malchiodi F, Baes CF. Genome-wide association study between copy number variants and hoof health traits in Holstein dairy cattle. J Dairy Sci 2021; 104:8050-8061. [PMID: 33896633 DOI: 10.3168/jds.2020-19879] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 01/31/2021] [Indexed: 01/06/2023]
Abstract
Genome-wide association studies based on SNP have been completed for multiple traits in dairy cattle; however, copy number variants (CNV) could add genomic information that has yet to be harnessed. The objectives of this study were to identify CNV in genotyped Holstein animals and assess their association with hoof health traits using deregressed estimated breeding values as pseudophenotypes. A total of 23,256 CNV comprising 1,645 genomic regions were identified in 5,845 animals. Fourteen genomic regions harboring structural variations, including 9 deletions and 5 duplications, were associated with at least 1 of the studied hoof health traits. This group of traits included digital dermatitis, interdigital dermatitis, heel horn erosion, sole ulcer, white line lesion, sole hemorrhage, and interdigital hyperplasia; no regions were associated with toe ulcer. Twenty candidate genes overlapped with the regions associated with these traits including SCART1, NRXN2, KIF26A, GPHN, and OR7A17. In this study, an effect on infectious hoof lesions could be attributed to the PRAME (Preferentially Expressed Antigen in Melanoma) gene. Almost all genes detected in association with noninfectious hoof lesions could be linked to known metabolic disorders. The knowledge obtained considering information of associated CNV to the traits of interest in this study could improve the accuracy of estimated breeding values. This may further increase the genetic gain for these traits in the Canadian Holstein population, thus reducing the involuntary animal losses due to lameness.
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Affiliation(s)
- Adrien M Butty
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Tatiane C S Chud
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Diercles F Cardoso
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Lucas S F Lopes
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Filippo Miglior
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Flavio S Schenkel
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Angela Cánovas
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Irene M Häfliger
- Vetsuisse Faculty, Institute of Genetics, University of Bern, Bern 3012, Switzerland
| | - Cord Drögemüller
- Vetsuisse Faculty, Institute of Genetics, University of Bern, Bern 3012, Switzerland
| | - Paul Stothard
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton T6G 2R3, Canada
| | - Francesca Malchiodi
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario N1G 2W1, Canada; The Semex Alliance, Guelph, Ontario N1H 6J2, Canada
| | - Christine F Baes
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario N1G 2W1, Canada; Vetsuisse Faculty, Institute of Genetics, University of Bern, Bern 3012, Switzerland.
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34
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Barbitoff YA, Matveenko AG, Matiiv AB, Maksiutenko EM, Moskalenko SE, Drozdova PB, Polev DE, Beliavskaia AY, Danilov LG, Predeus AV, Zhouravleva GA. Chromosome-level genome assembly and structural variant analysis of two laboratory yeast strains from the Peterhof Genetic Collection lineage. G3 (Bethesda) 2021; 11:6129118. [PMID: 33677552 PMCID: PMC8759820 DOI: 10.1093/g3journal/jkab029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 01/22/2021] [Indexed: 01/23/2023]
Abstract
Thousands of yeast genomes have been sequenced with both traditional and long-read technologies, and multiple observations about modes of genome evolution for both wild and laboratory strains have been drawn from these sequences. In our study, we applied Oxford Nanopore and Illumina technologies to assemble complete genomes of two widely used members of a distinct laboratory yeast lineage, the Peterhof Genetic Collection (PGC), and investigate the structural features of these genomes including transposable element content, copy number alterations, and structural rearrangements. We identified numerous notable structural differences between genomes of PGC strains and the reference S288C strain. We discovered a substantial enrichment of mid-length insertions and deletions within repetitive coding sequences, such as in the SCH9 gene or the NUP100 gene, with possible impact of these variants on protein amyloidogenicity. High contiguity of the final assemblies allowed us to trace back the history of reciprocal unbalanced translocations between chromosomes I, VIII, IX, XI, and XVI of the PGC strains. We show that formation of hybrid alleles of the FLO genes during such chromosomal rearrangements is likely responsible for the lack of invasive growth of yeast strains. Taken together, our results highlight important features of laboratory yeast strain evolution using the power of long-read sequencing.
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Affiliation(s)
- Yury A Barbitoff
- Department of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg 199034, Russia.,Bioinformatics Institute, St. Petersburg 197342, Russia
| | - Andrew G Matveenko
- Department of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg 199034, Russia.,Bioinformatics Institute, St. Petersburg 197342, Russia
| | - Anton B Matiiv
- Department of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg 199034, Russia.,Bioinformatics Institute, St. Petersburg 197342, Russia
| | - Evgeniia M Maksiutenko
- Department of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg 199034, Russia.,St. Petersburg Branch, Vavilov Institute of General Genetics of the Russian Academy of Sciences, St. Petersburg 199034, Russia
| | - Svetlana E Moskalenko
- Department of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg 199034, Russia.,St. Petersburg Branch, Vavilov Institute of General Genetics of the Russian Academy of Sciences, St. Petersburg 199034, Russia
| | | | | | - Alexandra Y Beliavskaia
- Department of Invertebrate Zoology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Lavrentii G Danilov
- Department of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg 199034, Russia
| | - Alexander V Predeus
- Bioinformatics Institute, St. Petersburg 197342, Russia.,University of Liverpool, Liverpool, UK, L7 3EA
| | - Galina A Zhouravleva
- Department of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg 199034, Russia
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35
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Liu Y, Huang Y, Wang G, Wang Y. A deep learning approach for filtering structural variants in short read sequencing data. Brief Bioinform 2020; 22:6055714. [PMID: 33378767 DOI: 10.1093/bib/bbaa370] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 11/10/2020] [Accepted: 11/19/2020] [Indexed: 02/06/2023] Open
Abstract
Short read whole genome sequencing has become widely used to detect structural variants in human genetic studies and clinical practices. However, accurate detection of structural variants is a challenging task. Especially existing structural variant detection approaches produce a large proportion of incorrect calls, so effective structural variant filtering approaches are urgently needed. In this study, we propose a novel deep learning-based approach, DeepSVFilter, for filtering structural variants in short read whole genome sequencing data. DeepSVFilter encodes structural variant signals in the read alignments as images and adopts the transfer learning with pre-trained convolutional neural networks as the classification models, which are trained on the well-characterized samples with known high confidence structural variants. We use two well-characterized samples to demonstrate DeepSVFilter's performance and its filtering effect coupled with commonly used structural variant detection approaches. The software DeepSVFilter is implemented using Python and freely available from the website at https://github.com/yongzhuang/DeepSVFilter.
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Affiliation(s)
- Yongzhuang Liu
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yalin Huang
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
| | - Guohua Wang
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
| | - Yadong Wang
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
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36
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Lamb HJ, Hayes BJ, Nguyen LT, Ross EM. The Future of Livestock Management: A Review of Real-Time Portable Sequencing Applied to Livestock. Genes (Basel) 2020; 11:E1478. [PMID: 33317066 PMCID: PMC7763041 DOI: 10.3390/genes11121478] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 11/10/2020] [Accepted: 12/01/2020] [Indexed: 12/12/2022] Open
Abstract
Oxford Nanopore Technologies' MinION has proven to be a valuable tool within human and microbial genetics. Its capacity to produce long reads in real time has opened up unique applications for portable sequencing. Examples include tracking the recent African swine fever outbreak in China and providing a diagnostic tool for disease in the cassava plant in Eastern Africa. Here we review the current applications of Oxford Nanopore sequencing in livestock, then focus on proposed applications in livestock agriculture for rapid diagnostics, base modification detection, reference genome assembly and genomic prediction. In particular, we propose a future application: 'crush-side genotyping' for real-time on-farm genotyping for extensive industries such as northern Australian beef production. An initial in silico experiment to assess the feasibility of crush-side genotyping demonstrated promising results. SNPs were called from simulated Nanopore data, that included the relatively high base call error rate that is characteristic of the data, and calling parameters were varied to understand the feasibility of SNP calling at low coverages in a heterozygous population. With optimised genotype calling parameters, over 85% of the 10,000 simulated SNPs were able to be correctly called with coverages as low as 6×. These results provide preliminary evidence that Oxford Nanopore sequencing has potential to be used for real-time SNP genotyping in extensive livestock operations.
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Affiliation(s)
- Harrison J. Lamb
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD 4067, Australia; (B.J.H.); (L.T.N.); (E.M.R.)
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Zhang C, Mazzeu JF, Eisfeldt J, Grochowski CM, White J, Akdemir ZC, Jhangiani SN, Muzny DM, Gibbs RA, Lindstrand A, Lupski JR, Sutton VR, Carvalho CMB. Novel pathogenic genomic variants leading to autosomal dominant and recessive Robinow syndrome. Am J Med Genet A 2020; 185:3593-3600. [PMID: 33048444 DOI: 10.1002/ajmg.a.61908] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 09/11/2020] [Accepted: 09/19/2020] [Indexed: 12/29/2022]
Abstract
Robinow syndrome (RS) is a genetically heterogeneous disorder characterized by skeletal dysplasia and a distinctive facial appearance. Previous studies have revealed locus heterogeneity with rare variants in DVL1, DVL3, FZD2, NXN, ROR2, and WNT5A underlying the etiology of RS. The aforementioned "Robinow-associated genes" and their gene products all play a role in the WNT/planar cell polarity signaling pathway. We performed gene-targeted Sanger sequencing, exome sequencing, genome sequencing, and array comparative genomic hybridization on four subjects with a clinical diagnosis of RS who had not had prior DNA testing. Individuals in our cohort were found to carry pathogenic or likely pathogenic variants in three RS related genes: DVL1, ROR2, and NXN. One subject was found to have a nonsense variant (c.817C > T [p.Gln273*]) in NXN in trans with an ~1 Mb telomeric deletion on chromosome 17p containing NXN, which supports our contention that biallelic NXN variant alleles are responsible for a novel autosomal recessive RS locus. These findings provide increased understanding of the role of WNT signaling in skeletal development and maintenance. These data further support the hypothesis that dysregulation of the noncanonical WNT pathway in humans gives rise to RS.
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Affiliation(s)
- Chaofan Zhang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Juliana F Mazzeu
- University of Brasilia, Brasilia, Brazil.,Robinow Syndrome Foundation, Anoka, Minnesota, USA
| | - Jesper Eisfeldt
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | | | - Janson White
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Zeynep C Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Shalini N Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Anna Lindstrand
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.,Texas Children's Hospital, Houston, Texas, USA.,Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - V Reid Sutton
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Texas Children's Hospital, Houston, Texas, USA
| | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Pacific Northwest Research Institute (PNRI), Seattle, Washington, USA
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Mugenzi LMJ, Menze BD, Tchouakui M, Wondji MJ, Irving H, Tchoupo M, Hearn J, Weedall GD, Riveron JM, Cho-Ngwa F, Wondji CS. A 6.5-kb intergenic structural variation enhances P450-mediated resistance to pyrethroids in malaria vectors lowering bed net efficacy. Mol Ecol 2020; 29:4395-4411. [PMID: 32974960 DOI: 10.1111/mec.15645] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 09/01/2020] [Indexed: 01/21/2023]
Abstract
Elucidating the complex evolutionary armory that mosquitoes deploy against insecticides is crucial to maintain the effectiveness of insecticide-based interventions. Here, we deciphered the role of a 6.5-kb structural variation (SV) in driving cytochrome P450-mediated pyrethroid resistance in the malaria vector, Anopheles funestus. Whole-genome pooled sequencing detected an intergenic 6.5-kb SV between duplicated CYP6P9a/b P450s in pyrethroid-resistant mosquitoes through a translocation event. Promoter analysis revealed a 17.5-fold higher activity (p < .0001) for the SV- carrying fragment than the SV- free one. Quantitative real-time PCR expression profiling of CYP6P9a/b for each SV genotype supported its role as an enhancer because SV+/SV+ homozygote mosquitoes had a significantly greater expression for both genes than heterozygotes SV+/SV- (1.7- to 2-fold) and homozygotes SV-/SV- (4-to 5-fold). Designing a PCR assay revealed a strong association between this SV and pyrethroid resistance (SV+/SV+ vs. SV-/SV-; odds ratio [OR] = 2,079.4, p < .001). The 6.5-kb SV is present at high frequency in southern Africa (80%-100%) but absent in East/Central/West Africa. Experimental hut trials revealed that homozygote SV mosquitoes had a significantly greater chance to survive exposure to pyrethroid-treated nets (OR 27.7; p < .0001) and to blood feed than susceptible mosquitoes. Furthermore, mosquitoes homozygote-resistant at the three loci (SV+/CYP6P9a_R/CYP6P9b_R) exhibited a higher resistance level, leading to a far superior ability to survive exposure to nets than those homozygotes susceptible at the three loci, revealing a strong additive effect. This study highlights the important role of structural variations in the development of insecticide resistance in malaria vectors and their detrimental impact on the effectiveness of pyrethroid-based nets.
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Affiliation(s)
- Leon M J Mugenzi
- Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK.,Centre for Research in Infectious Diseases (CRID), Yaoundé, Cameroon.,Department of Biochemistry and Molecular Biology, Faculty of Science, University of Buea, Buea, Cameroon
| | - Benjamin D Menze
- Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK.,Centre for Research in Infectious Diseases (CRID), Yaoundé, Cameroon
| | | | - Murielle J Wondji
- Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK.,Centre for Research in Infectious Diseases (CRID), Yaoundé, Cameroon
| | - Helen Irving
- Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Micareme Tchoupo
- Centre for Research in Infectious Diseases (CRID), Yaoundé, Cameroon
| | - Jack Hearn
- Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Gareth D Weedall
- Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK.,School of Natural Sciences and Psychology, Liverpool, John Moores University, Liverpool, UK
| | - Jacob M Riveron
- Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK.,Centre for Research in Infectious Diseases (CRID), Yaoundé, Cameroon
| | - Fidelis Cho-Ngwa
- Department of Biochemistry and Molecular Biology, Faculty of Science, University of Buea, Buea, Cameroon
| | - Charles S Wondji
- Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK.,Centre for Research in Infectious Diseases (CRID), Yaoundé, Cameroon
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Sánchez-Gaya V, Mariner-Faulí M, Rada-Iglesias A. Rare or Overlooked? Structural Disruption of Regulatory Domains in Human Neurocristopathies. Front Genet 2020; 11:688. [PMID: 32765580 PMCID: PMC7379850 DOI: 10.3389/fgene.2020.00688] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 06/04/2020] [Indexed: 12/15/2022] Open
Abstract
In the last few years, the role of non-coding regulatory elements and their involvement in human disease have received great attention. Among the non-coding regulatory sequences, enhancers are particularly important for the proper establishment of cell type-specific gene-expression programs. Furthermore, the disruption of enhancers can lead to human disease through two main mechanisms: (i) Mutations or copy number variants can directly alter the enhancer sequences and thereby affect expression of their target genes; (ii) structural variants can provoke changes in 3-D chromatin organization that alter neither the enhancers nor their target genes, but rather the physical communication between them. In this review, these pathomechanisms are mostly discussed in the context of neurocristopathies, congenital disorders caused by defects that occur during neural crest development. We highlight why, due to its contribution to multiple tissues and organs, the neural crest represents an important, yet understudied, cell type involved in multiple congenital disorders. Moreover, we discuss currently available resources and experimental models for the study of human neurocristopathies. Last, we provide some practical guidelines that can be followed when investigating human neurocristopathies caused by structural variants. Importantly, these guidelines can be useful not only to uncover the etiology of human neurocristopathies, but also of other human congenital disorders in which enhancer disruption is involved.
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Affiliation(s)
- Víctor Sánchez-Gaya
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), Consejo Superior de Investigaciones Científicas-University of Cantabria-Sociedad para el Desarrollo de Cantabria, Santander, Spain
| | - Maria Mariner-Faulí
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), Consejo Superior de Investigaciones Científicas-University of Cantabria-Sociedad para el Desarrollo de Cantabria, Santander, Spain
| | - Alvaro Rada-Iglesias
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), Consejo Superior de Investigaciones Científicas-University of Cantabria-Sociedad para el Desarrollo de Cantabria, Santander, Spain
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
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40
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Gong T, Hayes VM, Chan EKF. Detection of somatic structural variants from short-read next-generation sequencing data. Brief Bioinform 2020; 22:5831479. [PMID: 32379294 PMCID: PMC8138798 DOI: 10.1093/bib/bbaa056] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 03/05/2020] [Accepted: 03/29/2020] [Indexed: 01/09/2023] Open
Abstract
Somatic structural variants (SVs), which are variants that typically impact >50 nucleotides, play a significant role in cancer development and evolution but are notoriously more difficult to detect than small variants from short-read next-generation sequencing (NGS) data. This is due to a combination of challenges attributed to the purity of tumour samples, tumour heterogeneity, limitations of short-read information from NGS and sequence alignment ambiguities. In spite of active development of SV detection tools (callers) over the past few years, each method has inherent advantages and limitations. In this review, we highlight some of the important factors affecting somatic SV detection and compared the performance of seven commonly used SV callers. In particular, we focus on the extent of change in sensitivity and precision for detecting different SV types and size ranges from samples with differing variant allele frequencies and sequencing depths of coverage. We highlight the reasons for why some SV callers perform well in some settings but not others, allowing our evaluation findings to be extended beyond the seven SV callers examined in this paper. As the importance of large SVs become increasingly recognized in cancer genomics, this paper provides a timely review on some of the most impactful factors influencing somatic SV detection that should be considered when choosing SV callers.
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Affiliation(s)
| | - Vanessa M Hayes
- Corresponding authors: Eva K.F. Chan, New South Wales Health Pathology, Newcastle, NSW 2300, Australia. E-mail: ; Vanessa M. Hayes, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia. Tel.: +61-2-9355-5841; Fax: +61 2-2-9295-8151; E-mail:
| | - Eva K F Chan
- Corresponding authors: Eva K.F. Chan, New South Wales Health Pathology, Newcastle, NSW 2300, Australia. E-mail: ; Vanessa M. Hayes, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia. Tel.: +61-2-9355-5841; Fax: +61 2-2-9295-8151; E-mail:
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Lamb HJ, Ross EM, Nguyen LT, Lyons RE, Moore SS, Hayes BJ. Characterization of the poll allele in Brahman cattle using long-read Oxford Nanopore sequencing. J Anim Sci 2020; 98:5823688. [PMID: 32318708 DOI: 10.1093/jas/skaa127] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 04/20/2020] [Indexed: 12/13/2022] Open
Abstract
Brahman cattle (Bos indicus) are well adapted to thrive in tropical environments. Since their introduction to Australia in 1933, Brahman's ability to grow and reproduce on marginal lands has proven their value in the tropical beef industry. The poll phenotype, which describes the absence of horns, has become desirable in the cattle industry for animal welfare and handler safety concerns. The poll locus has been mapped to chromosome one. Four alleles, each a copy number variant, have been reported across this locus in B. indicus and Bos taurus. However, the causative mutation in Brahman cattle has not been fully characterized. Oxford Nanopore Technologies' minION sequencer was used to sequence four homozygous poll (PcPc), four homozygous horned (pp), and three heterozygous (Pcp) Brahmans to characterize the poll allele in Brahman cattle. A total of 98 Gb were sequenced and an average coverage of 3.33X was achieved. Read N50 scores ranged from 9.9 to 19 kb. Examination of the mapped reads across the poll locus revealed insertions approximately 200 bp in length in the poll animals that were absent in the horned animals. These results are consistent with the Celtic poll allele, a 212-bp duplication that replaces 10 bp. This provides direct evidence that the Celtic poll allele is segregating in the Australian Brahman population.
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Affiliation(s)
- Harrison J Lamb
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, Australia
| | - Elizabeth M Ross
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, Australia
| | - Loan T Nguyen
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, Australia
| | - Russell E Lyons
- Neogen Australasia, University of Queensland, Gatton, QLD, Australia
| | - Stephen S Moore
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, Australia
| | - Ben J Hayes
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, Australia
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42
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Simon R, Lischer HEL, Pieńkowska-Schelling A, Keller I, Häfliger IM, Letko A, Schelling C, Lühken G, Drögemüller C. New genomic features of the polled intersex syndrome variant in goats unraveled by long-read whole-genome sequencing. Anim Genet 2020; 51:439-448. [PMID: 32060960 DOI: 10.1111/age.12918] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 01/23/2020] [Accepted: 01/23/2020] [Indexed: 01/19/2023]
Abstract
In domestic goats, the polled intersex syndrome (PIS) refers to XX female-to-male sex reversal associated with the absence of horn growth (polled). The causal variant was previously reported as a 11.7 kb deletion at approximately 129 Mb on chromosome 1 that affects the transcription of both FOXL2 and several long non-coding RNAs. In the meantime the presence of different versions of the PIS deletion was postulated and trials to establish genetic testing with the existing molecular genetic information failed. Therefore, we revisited this variant by long-read whole-genome sequencing of two genetically female (XX) goats, a PIS-affected and a horned control. This revealed the presence of a more complex structural variant consisting of a deletion with a total length of 10 159 bp and an inversely inserted approximately 480 kb-sized duplicated segment of a region located approximately 21 Mb further downstream on chromosome 1 containing two genes, KCNJ15 and ERG. Publicly available short-read whole-genome sequencing data, Sanger sequencing of the breakpoints and FISH using BAC clones corresponding to both involved genome regions confirmed this structural variant. A diagnostic PCR was developed for simultaneous genotyping of carriers for this variant and determination of their genetic sex. We showed that the variant allele was present in all 334 genotyped polled goats of diverse breeds and that all analyzed 15 PIS-affected XX goats were homozygous. Our findings enable for the first time a precise genetic diagnosis for polledness and PIS in goats and add a further genomic feature to the complexity of the PIS phenomenon.
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Affiliation(s)
- R Simon
- Institute of Animal Breeding and Genetics, Justus Liebig University, Giessen, 35390, Germany
| | - H E L Lischer
- Interfaculty Bioinformatics Unit, University of Bern, Bern, 3001, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - A Pieńkowska-Schelling
- Institute of Genetics, University of Bern, Bern, 3001, Switzerland.,Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zürich, Zürich, 8057, Switzerland
| | - I Keller
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.,Department for BioMedical Research, University of Bern, Bern, 3001, Switzerland
| | - I M Häfliger
- Institute of Genetics, University of Bern, Bern, 3001, Switzerland
| | - A Letko
- Institute of Genetics, University of Bern, Bern, 3001, Switzerland
| | - C Schelling
- Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zürich, Zürich, 8057, Switzerland
| | - G Lühken
- Institute of Animal Breeding and Genetics, Justus Liebig University, Giessen, 35390, Germany
| | - C Drögemüller
- Institute of Genetics, University of Bern, Bern, 3001, Switzerland
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Theunissen F, Flynn LL, Anderton RS, Mastaglia F, Pytte J, Jiang L, Hodgetts S, Burns DK, Saunders A, Fletcher S, Wilton SD, Akkari PA. Structural Variants May Be a Source of Missing Heritability in sALS. Front Neurosci 2020; 14:47. [PMID: 32082115 PMCID: PMC7005198 DOI: 10.3389/fnins.2020.00047] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 01/13/2020] [Indexed: 12/11/2022] Open
Abstract
The underlying genetic and molecular mechanisms that drive amyotrophic lateral sclerosis (ALS) remain poorly understood. Structural variants within the genome can play a significant role in neurodegenerative disease risk, such as the repeat expansion in C9orf72 and the tri-nucleotide repeat in ATXN2, both of which are associated with familial and sporadic ALS. Many such structural variants reside in uncharacterized regions of the human genome, and have been under studied. Therefore, characterization of structural variants located in and around genes associated with ALS could provide insight into disease pathogenesis, and lead to the discovery of highly informative genetic tools for stratification in clinical trials. Such genomic variants may provide a deeper understanding of how gene expression can affect disease etiology, disease severity and trajectory, patient response to treatment, and may hold the key to understanding the genetics of sporadic ALS. This article outlines the current understanding of amyotrophic lateral sclerosis genetics and how structural variations may underpin some of the missing heritability of this disease.
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Affiliation(s)
- Frances Theunissen
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.,School of Human Sciences, University of Western Australia, Nedlands, WA, Australia
| | - Loren L Flynn
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.,Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA, Australia.,Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, WA, Australia
| | - Ryan S Anderton
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.,Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA, Australia.,School of Health Sciences, Institute for Health Research, University of Notre Dame Australia, Fremantle, WA, Australia
| | - Frank Mastaglia
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.,Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA, Australia
| | - Julia Pytte
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.,School of Human Sciences, University of Western Australia, Nedlands, WA, Australia
| | - Leanne Jiang
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.,School of Biological Sciences, University of Western Australia, Nedlands, WA, Australia
| | - Stuart Hodgetts
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.,School of Human Sciences, University of Western Australia, Nedlands, WA, Australia
| | - Daniel K Burns
- Zinfandel Pharmaceuticals, Chapel Hill, NC, United States
| | - Ann Saunders
- Zinfandel Pharmaceuticals, Chapel Hill, NC, United States
| | - Sue Fletcher
- Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA, Australia.,Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, WA, Australia
| | - Steve D Wilton
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.,Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA, Australia.,Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, WA, Australia
| | - Patrick Anthony Akkari
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia.,Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA, Australia.,Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, WA, Australia
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Letko A, Ammann B, Jagannathan V, Henkel J, Leuthard F, Schelling C, Carneiro M, Drögemüller C, Leeb T. A deletion spanning the promoter and first exon of the hair cycle-specific ASIP transcript isoform in black and tan rabbits. Anim Genet 2019; 51:137-140. [PMID: 31729778 DOI: 10.1111/age.12881] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 10/08/2019] [Accepted: 10/25/2019] [Indexed: 01/01/2023]
Abstract
Black and tan animals have tan-coloured ventral body surfaces separated by sharp boundaries from black-coloured dorsal body surfaces. In the at mouse mutant, a retroviral 6 kb insertion located in the hair cycle-specific promoter of the murine Asip gene encoding agouti signalling protein causes the black and tan phenotype. In rabbits, three ASIP alleles are thought to exist, including an at allele causing a black and tan coat colour that closely resembles the mouse black and tan phenotype. The goal of our study was to identify the functional genetic variant causing the rabbit at allele. We performed a WGS-based comparative analysis of the ASIP gene in one black and tan and three wt agouti-coloured rabbits. The analysis identified 75 at -associated variants including an 11 kb deletion. The deletion is located in the region of the hair cycle-specific ASIP promoter and thus in a region homologous to the site of the retroviral insertion causing the at allele in mice. We observed perfect association of the genotypes at this deletion with the coat colour phenotype in 49 rabbits. The comparative analysis and the previous knowledge about the regulation of ASIP expression suggest that the 11 kb deletion is the most likely causative variant for the black and tan phenotype in rabbits.
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Affiliation(s)
- A Letko
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - B Ammann
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - V Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland.,Dermfocus, University of Bern, 3001, Bern, Switzerland
| | - J Henkel
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland.,Dermfocus, University of Bern, 3001, Bern, Switzerland
| | - F Leuthard
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland.,Dermfocus, University of Bern, 3001, Bern, Switzerland
| | - C Schelling
- Vetsuisse Faculty, Clinic for Reproductive Medicine and Center of Clinical Studies, University of Zurich, 8315, Lindau, Switzerland
| | - M Carneiro
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, 4485-661, Portugal.,Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, 4169-007, Portugal
| | - C Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland.,Dermfocus, University of Bern, 3001, Bern, Switzerland
| | - T Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland.,Dermfocus, University of Bern, 3001, Bern, Switzerland
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45
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Mesbah-Uddin M, Guldbrandtsen B, Lund MS, Boichard D, Sahana G. Joint imputation of whole-genome sequence variants and large chromosomal deletions in cattle. J Dairy Sci 2019; 102:11193-11206. [PMID: 31606212 DOI: 10.3168/jds.2019-16946] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 08/25/2019] [Indexed: 11/19/2022]
Abstract
Genotype imputation, often focused on SNP and small insertions and deletions (indels; size ≤50 bp), is a crucial step for association mapping and estimation of genomic breeding values. Here, we present strategies to impute genotypes for large chromosomal deletions (size >50 bp), along with SNP and indels in cattle. The pipelines include a strategy for extending the whole-genome sequence reference panel for large deletions, a 2-step genotype refinement approach using Beagle4 and SHAPEIT2 software, and finally, joint imputation of SNP, indels, and large deletions to the existing SNP array-typed population using Minimac3 software. Using these pipelines we achieved an imputation accuracy of the squared Pearson correlation (r2) > 0.6 at minor allele frequencies as low as 0.7% for SNP and indels, and 0.2% for large deletions. This highlights the potential of our approach to build a haplotype reference panel and impute different classes of sequence variants across a wide allele frequency spectrum with high accuracy.
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Affiliation(s)
- Md Mesbah-Uddin
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark; GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France.
| | - Bernt Guldbrandtsen
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark
| | - Mogens Sandø Lund
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark
| | - Didier Boichard
- GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Goutam Sahana
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark.
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46
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Piazza A, Heyer WD. Homologous Recombination and the Formation of Complex Genomic Rearrangements. Trends Cell Biol 2019; 29:135-149. [PMID: 30497856 PMCID: PMC6402879 DOI: 10.1016/j.tcb.2018.10.006] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 10/28/2018] [Accepted: 10/29/2018] [Indexed: 12/13/2022]
Abstract
The maintenance of genome integrity involves multiple independent DNA damage avoidance and repair mechanisms. However, the origin and pathways of the focal chromosomal reshuffling phenomena collectively referred to as chromothripsis remain mechanistically obscure. We discuss here the role, mechanisms, and regulation of homologous recombination (HR) in the formation of simple and complex chromosomal rearrangements. We emphasize features of the recently characterized multi-invasion (MI)-induced rearrangement (MIR) pathway which uniquely amplifies the initial DNA damage. HR intermediates and cellular contexts that endanger genomic stability are discussed as well as the emerging roles of various classes of nucleases in the formation of genome rearrangements. Long-read sequencing and improved mapping of repeats should enable better appreciation of the significance of recombination in generating genomic rearrangements.
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Affiliation(s)
- Aurèle Piazza
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA; Spatial Regulation of Genomes, Department of Genomes and Genetics, Centre National de la Recherche Scientifique (CNRS) Unité Mixte de Recherche 3525, Institut Pasteur, 75015 Paris, France
| | - Wolf-Dietrich Heyer
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA; Department of Molecular and Cellular Biology, University of California, Davis, CA 95616, USA.
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47
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Henkel J, Lafayette C, Brooks SA, Martin K, Patterson-Rosa L, Cook D, Jagannathan V, Leeb T. Whole-genome sequencing reveals a large deletion in the MITF gene in horses with white spotted coat colour and increased risk of deafness. Anim Genet 2019; 50:172-174. [PMID: 30644113 DOI: 10.1111/age.12762] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/12/2018] [Indexed: 01/18/2023]
Abstract
White spotting phenotypes in horses are highly valued in some breeds. They are quite variable and may range from the common white markings up to completely white horses. EDNRB, KIT, MITF, PAX3 and TRPM1 represent known candidate genes for white spotting phenotypes in horses. For the present study, we investigated an American Paint Horse family segregating a phenotype involving white spotting and blue eyes. Six of eight horses with the white-spotting phenotype were deaf. We obtained whole-genome sequence data from an affected horse and specifically searched for structural variants in the known candidate genes. This analysis revealed a heterozygous ~63-kb deletion spanning exons 6-9 of the MITF gene (chr16:21 503 211-21 566 617). We confirmed the breakpoints of the deletion by PCR and Sanger sequencing. PCR-based genotyping revealed that all eight available affected horses from the family carried the deletion. The finding of an MITF variant fits well with the syndromic phenotype involving both depigmentation and an increased risk for deafness and corresponds to human Waardenburg syndrome type 2A. Our findings will enable more precise genetic testing for depigmentation phenotypes in horses.
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Affiliation(s)
- J Henkel
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland.,DermFocus, University of Bern, 3001, Bern, Switzerland
| | | | - S A Brooks
- Department of Animal Sciences, University of Florida, Gainesville, FL, 32611-0910, USA
| | - K Martin
- Etalon Inc., Menlo Park, CA, 94025, USA
| | - L Patterson-Rosa
- Department of Animal Sciences, University of Florida, Gainesville, FL, 32611-0910, USA
| | - D Cook
- Etalon Inc., Menlo Park, CA, 94025, USA
| | - V Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland.,DermFocus, University of Bern, 3001, Bern, Switzerland
| | - T Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland.,DermFocus, University of Bern, 3001, Bern, Switzerland
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48
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Nelson TC, Monnahan PJ, McIntosh MK, Anderson K, MacArthur-Waltz E, Finseth FR, Kelly JK, Fishman L. Extreme copy number variation at a tRNA ligase gene affecting phenology and fitness in yellow monkeyflowers. Mol Ecol 2018; 28:1460-1475. [PMID: 30346101 DOI: 10.1111/mec.14904] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 10/03/2018] [Accepted: 10/08/2018] [Indexed: 12/15/2022]
Abstract
Copy number variation (CNV) is a major part of the genetic diversity segregating within populations, but remains poorly understood relative to single nucleotide variation. Here, we report on a tRNA ligase gene (Migut.N02091; RLG1a) exhibiting unprecedented, and fitness-relevant, CNV within an annual population of the yellow monkeyflower Mimulus guttatus. RLG1a variation was associated with multiple traits in pooled population sequencing (PoolSeq) scans of phenotypic and phenological cohorts. Resequencing of inbred lines revealed intermediate-frequency three-copy variants of RLG1a (trip+; 5/35 = 14%), and trip+ lines exhibited elevated RLG1a expression under multiple conditions. trip+ carriers, in addition to being over-represented in late-flowering and large-flowered PoolSeq populations, flowered later under stressful conditions in a greenhouse experiment (p < 0.05). In wild population samples, we discovered an additional rare RLG1a variant (high+) that carries 250-300 copies of RLG1a totalling ~5.7 Mb (20-40% of a chromosome). In the progeny of a high+ carrier, Mendelian segregation of diagnostic alleles and qPCR-based copy counts indicate that high+ is a single tandem array unlinked to the single-copy RLG1a locus. In the wild, high+ carriers had highest fitness in two particularly dry and/or hot years (2015 and 2017; both p < 0.01), while single-copy individuals were twice as fecund as either CNV type in a lush year (2016: p < 0.005). Our results demonstrate fluctuating selection on CNVs affecting phenological traits in a wild population, suggest that plant tRNA ligases mediate stress-responsive life-history traits, and introduce a novel system for investigating the molecular mechanisms of gene amplification.
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Affiliation(s)
- Thomas C Nelson
- Division of Biological Sciences, University of Montana, Missoula, Montana
| | - Patrick J Monnahan
- Department of Ecology and Evolution, University of Kansas, Lawrence, Kansas
| | - Mariah K McIntosh
- Division of Biological Sciences, University of Montana, Missoula, Montana
| | - Kayli Anderson
- Division of Biological Sciences, University of Montana, Missoula, Montana
| | | | - Findley R Finseth
- Division of Biological Sciences, University of Montana, Missoula, Montana
| | - John K Kelly
- Department of Ecology and Evolution, University of Kansas, Lawrence, Kansas
| | - Lila Fishman
- Division of Biological Sciences, University of Montana, Missoula, Montana
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49
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Algady W, Louzada S, Carpenter D, Brajer P, Färnert A, Rooth I, Ngasala B, Yang F, Shaw MA, Hollox EJ. The Malaria-Protective Human Glycophorin Structural Variant DUP4 Shows Somatic Mosaicism and Association with Hemoglobin Levels. Am J Hum Genet 2018; 103:769-776. [PMID: 30388403 PMCID: PMC6218809 DOI: 10.1016/j.ajhg.2018.10.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 10/04/2018] [Indexed: 01/23/2023] Open
Abstract
Glycophorin A and glycophorin B are red blood cell surface proteins and are both receptors for the parasite Plasmodium falciparum, which is the principal cause of malaria in sub-Saharan Africa. DUP4 is a complex structural genomic variant that carries extra copies of a glycophorin A-glycophorin B fusion gene and has a dramatic effect on malaria risk by reducing the risk of severe malaria by up to 40%. Using fiber-FISH and Illumina sequencing, we validate the structural arrangement of the glycophorin locus in the DUP4 variant and reveal somatic variation in copy number of the glycophorin B-glycophorin A fusion gene. By developing a simple, specific, PCR-based assay for DUP4, we show that the DUP4 variant reaches a frequency of 13% in the population of a malaria-endemic village in south-eastern Tanzania. We genotype a substantial proportion of that village and demonstrate an association of DUP4 genotype with hemoglobin levels, a phenotype related to malaria, using a family-based association test. Taken together, we show that DUP4 is a complex structural variant that may be susceptible to somatic variation and show that DUP4 is associated with a malarial-related phenotype in a longitudinally followed population.
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Affiliation(s)
- Walid Algady
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK
| | - Sandra Louzada
- Wellcome Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Danielle Carpenter
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK
| | - Paulina Brajer
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK
| | - Anna Färnert
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, 17176 Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, Stockholm 17176, Sweden
| | - Ingegerd Rooth
- Nyamisati Malaria Research, Rufiji, National Institute for Medical Research, Dar-es-Salaam, Tanzania
| | - Billy Ngasala
- Department of Parasitology and Medical Entomology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania; Department of Women's and Children's Health, International Maternal and Child Health (IMCH), Uppsala Universitet, 75185 Uppsala, Sweden
| | - Fengtang Yang
- Wellcome Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Marie-Anne Shaw
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds LS9 7TF, UK
| | - Edward J Hollox
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK.
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50
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Abstract
Copy Number Variants (CNVs) are structural rearrangements contributing to phenotypic variation but also associated with many disease states. In recent years, the identification of CNVs from high-throughput sequencing experiments has become a common practice for both research and clinical purposes. Several computational methods have been developed so far. In this unit, we describe and give instructions on how to run two read count-based tools, XCAVATOR and EXCAVATOR2, which are tailored for the detection of both germline and somatic CNVs from different sequencing experiments (whole-genome, whole-exome, and targeted) in various disease contexts and population genetic studies. © 2018 by John Wiley & Sons, Inc.
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Affiliation(s)
- Romina D'Aurizio
- Institute of Informatics and Telematics, National Research Council, Pisa, Italy
| | - Roberto Semeraro
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Alberto Magi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
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