1
|
Grochowski CM, Bengtsson JD, Du H, Gandhi M, Lun MY, Mehaffey MG, Park K, Höps W, Benito E, Hasenfeld P, Korbel JO, Mahmoud M, Paulin LF, Jhangiani SN, Hwang JP, Bhamidipati SV, Muzny DM, Fatih JM, Gibbs RA, Pendleton M, Harrington E, Juul S, Lindstrand A, Sedlazeck FJ, Pehlivan D, Lupski JR, Carvalho CMB. Inverted triplications formed by iterative template switches generate structural variant diversity at genomic disorder loci. CELL GENOMICS 2024:100590. [PMID: 38908378 DOI: 10.1016/j.xgen.2024.100590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/27/2023] [Accepted: 05/31/2024] [Indexed: 06/24/2024]
Abstract
The duplication-triplication/inverted-duplication (DUP-TRP/INV-DUP) structure is a complex genomic rearrangement (CGR). Although it has been identified as an important pathogenic DNA mutation signature in genomic disorders and cancer genomes, its architecture remains unresolved. Here, we studied the genomic architecture of DUP-TRP/INV-DUP by investigating the DNA of 24 patients identified by array comparative genomic hybridization (aCGH) on whom we found evidence for the existence of 4 out of 4 predicted structural variant (SV) haplotypes. Using a combination of short-read genome sequencing (GS), long-read GS, optical genome mapping, and single-cell DNA template strand sequencing (strand-seq), the haplotype structure was resolved in 18 samples. The point of template switching in 4 samples was shown to be a segment of ∼2.2-5.5 kb of 100% nucleotide similarity within inverted repeat pairs. These data provide experimental evidence that inverted low-copy repeats act as recombinant substrates. This type of CGR can result in multiple conformers generating diverse SV haplotypes in susceptible dosage-sensitive loci.
Collapse
Affiliation(s)
| | | | - Haowei Du
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Mira Gandhi
- Pacific Northwest Research Institute, Seattle, WA 98122, USA
| | - Ming Yin Lun
- Pacific Northwest Research Institute, Seattle, WA 98122, USA
| | | | - KyungHee Park
- Pacific Northwest Research Institute, Seattle, WA 98122, USA
| | - Wolfram Höps
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Eva Benito
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Patrick Hasenfeld
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Jan O Korbel
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Medhat Mahmoud
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Luis F Paulin
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Shalini N Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - James Paul Hwang
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sravya V Bhamidipati
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jawid M Fatih
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Richard A Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | | | - Sissel Juul
- Oxford Nanopore Technologies, New York, NY 10013, USA
| | - Anna Lindstrand
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 171 76 Stockholm, Sweden; Department of Clinical Genetics and Genomics, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Fritz J Sedlazeck
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Computer Science, Rice University, Houston TX 77030, USA
| | - Davut Pehlivan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Section of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA
| | | |
Collapse
|
2
|
Pagnamenta AT, Yu J, Walker S, Noble AJ, Lord J, Dutta P, Hashim M, Camps C, Green H, Devaiah S, Nashef L, Parr J, Fratter C, Ibnouf Hussein R, Lindsay SJ, Lalloo F, Banos-Pinero B, Evans D, Mallin L, Waite A, Evans J, Newman A, Allen Z, Perez-Becerril C, Ryan G, Hart R, Taylor J, Bedenham T, Clement E, Blair E, Hay E, Forzano F, Higgs J, Canham N, Majumdar A, McEntagart M, Lahiri N, Stewart H, Smithson S, Calpena E, Jackson A, Banka S, Titheradge H, McGowan R, Rankin J, Shaw-Smith C, Evans DG, Burghel GJ, Smith MJ, Anderson E, Madhu R, Firth H, Ellard S, Brennan P, Anderson C, Taupin D, Rogers MT, Cook JA, Durkie M, East JE, Fowler D, Wilson L, Igbokwe R, Gardham A, Tomlinson I, Baralle D, Uhlig HH, Taylor JC. The impact of inversions across 33,924 families with rare disease from a national genome sequencing project. Am J Hum Genet 2024; 111:1140-1164. [PMID: 38776926 PMCID: PMC11179413 DOI: 10.1016/j.ajhg.2024.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 04/25/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024] Open
Abstract
Detection of structural variants (SVs) is currently biased toward those that alter copy number. The relative contribution of inversions toward genetic disease is unclear. In this study, we analyzed genome sequencing data for 33,924 families with rare disease from the 100,000 Genomes Project. From a database hosting >500 million SVs, we focused on 351 genes where haploinsufficiency is a confirmed disease mechanism and identified 47 ultra-rare rearrangements that included an inversion (24 bp to 36.4 Mb, 20/47 de novo). Validation utilized a number of orthogonal approaches, including retrospective exome analysis. RNA-seq data supported the respective diagnoses for six participants. Phenotypic blending was apparent in four probands. Diagnostic odysseys were a common theme (>50 years for one individual), and targeted analysis for the specific gene had already been performed for 30% of these individuals but with no findings. We provide formal confirmation of a European founder origin for an intragenic MSH2 inversion. For two individuals with complex SVs involving the MECP2 mutational hotspot, ambiguous SV structures were resolved using long-read sequencing, influencing clinical interpretation. A de novo inversion of HOXD11-13 was uncovered in a family with Kantaputra-type mesomelic dysplasia. Lastly, a complex translocation disrupting APC and involving nine rearranged segments confirmed a clinical diagnosis for three family members and resolved a conundrum for a sibling with a single polyp. Overall, inversions play a small but notable role in rare disease, likely explaining the etiology in around 1/750 families across heterogeneous clinical cohorts.
Collapse
Affiliation(s)
- Alistair T Pagnamenta
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK.
| | - Jing Yu
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK; Novo Nordisk Oxford Research Centre, Oxford, UK
| | | | - Alexandra J Noble
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, UK
| | - Jenny Lord
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK; Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield, UK
| | - Prasun Dutta
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Mona Hashim
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Carme Camps
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Hannah Green
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Smrithi Devaiah
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Lina Nashef
- Department of Neurology, King's College Hospital, London, UK
| | - Jason Parr
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Carl Fratter
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Rana Ibnouf Hussein
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Sarah J Lindsay
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Fiona Lalloo
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Benito Banos-Pinero
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - David Evans
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Lucy Mallin
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Adrian Waite
- Bristol Genetics Laboratory, North Bristol NHS Trust, Bristol, UK
| | - Julie Evans
- Bristol Genetics Laboratory, North Bristol NHS Trust, Bristol, UK
| | - Andrew Newman
- The All Wales Medical Genomics Service, University Hospital of Wales, Cardiff, UK
| | - Zoe Allen
- North Thames Rare and Inherited Disease Laboratory, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Cristina Perez-Becerril
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Gavin Ryan
- West Midlands Regional Genetics Laboratory, Central and South Genomic Laboratory Hub, Birmingham, UK
| | - Rachel Hart
- Liverpool Centre for Genomic Medicine, Liverpool Women's NHS Foundation Trust, Liverpool, UK
| | - John Taylor
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Tina Bedenham
- Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Emma Clement
- North East Thames Regional Genetic Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Ed Blair
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Eleanor Hay
- North East Thames Regional Genetic Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Francesca Forzano
- Clinical Genetics Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Jenny Higgs
- Liverpool Centre for Genomic Medicine, Liverpool Women's NHS Foundation Trust, Liverpool, UK
| | - Natalie Canham
- Liverpool Centre for Genomic Medicine, Liverpool Women's NHS Foundation Trust, Liverpool, UK
| | - Anirban Majumdar
- Department of Paediatric Neurology, Bristol Children's Hospital, Bristol, UK
| | - Meriel McEntagart
- SW Thames Centre for Genomic Medicine, University of London & St George's University Hospitals NHS Foundation Trust, St George's, London, UK
| | - Nayana Lahiri
- SW Thames Centre for Genomic Medicine, University of London & St George's University Hospitals NHS Foundation Trust, St George's, London, UK
| | - Helen Stewart
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Sarah Smithson
- Department of Clinical Genetics, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Eduardo Calpena
- Clinical Genetics Group, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Grupo de Investigación en Biomedicina Molecular, Celular y Genómica, Unidad CIBERER (CB06/07/1030), Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
| | - Adam Jackson
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Siddharth Banka
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Hannah Titheradge
- Department of Clinical Genetics, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Ruth McGowan
- West of Scotland Centre for Genomic Medicine, Glasgow, UK
| | - Julia Rankin
- Department of Clinical Genetics, Royal Devon University Healthcare NHS Trust, Exeter, UK
| | - Charles Shaw-Smith
- Department of Clinical Genetics, Royal Devon University Healthcare NHS Trust, Exeter, UK
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - George J Burghel
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Miriam J Smith
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Emily Anderson
- Liverpool Centre for Genomic Medicine, Liverpool Women's NHS Foundation Trust, Liverpool, UK
| | - Rajesh Madhu
- Paediatric Neurosciences Department, Alder Hey Children's Hospital NHS Foundation Trust, Liverpool, UK
| | - Helen Firth
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Sian Ellard
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Paul Brennan
- Institute of Genetic Medicine, Newcastle University, International Centre for Life, Newcastle University, Newcastle, UK
| | - Claire Anderson
- Canberra Clinical Genomics, Canberra Health Services and The Australian National University, Canberra, ACT, Australia
| | - Doug Taupin
- Cancer Research, Canberra Hospital, Canberra, ACT, Australia
| | - Mark T Rogers
- The All Wales Medical Genomics Service, University Hospital of Wales, Cardiff, UK
| | - Jackie A Cook
- Department of Clinical Genetics, Sheffield Children's NHS Foundation Trust, Sheffield, UK
| | - Miranda Durkie
- Sheffield Diagnostic Genetics Service, Sheffield Children's NHS Foundation Trust, North East and Yorkshire Genomic Laboratory Hub, Sheffield, UK
| | - James E East
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, UK
| | - Darren Fowler
- Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Louise Wilson
- North East Thames Regional Genetic Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Rebecca Igbokwe
- Department of Clinical Genetics, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Alice Gardham
- North East Thames Regional Genetic Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Ian Tomlinson
- Department of Oncology, University of Oxford, Oxford, UK
| | - Diana Baralle
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Holm H Uhlig
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK; Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, UK
| | - Jenny C Taylor
- Oxford Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK.
| |
Collapse
|
3
|
Brewer BJ, Dunham MJ, Raghuraman MK. A unifying model that explains the origins of human inverted copy number variants. PLoS Genet 2024; 20:e1011091. [PMID: 38175827 PMCID: PMC10766186 DOI: 10.1371/journal.pgen.1011091] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024] Open
Abstract
With the release of the telomere-to-telomere human genome sequence and the availability of both long-read sequencing and optical genome mapping techniques, the identification of copy number variants (CNVs) and other structural variants is providing new insights into human genetic disease. Different mechanisms have been proposed to account for the novel junctions in these complex architectures, including aberrant forms of DNA replication, non-allelic homologous recombination, and various pathways that repair DNA breaks. Here, we have focused on a set of structural variants that include an inverted segment and propose that they share a common initiating event: an inverted triplication with long, unstable palindromic junctions. The secondary rearrangement of these palindromes gives rise to the various forms of inverted structural variants. We postulate that this same mechanism (ODIRA: origin-dependent inverted-repeat amplification) that creates the inverted CNVs in inherited syndromes also generates the palindromes found in cancers.
Collapse
Affiliation(s)
- Bonita J. Brewer
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Maitreya J. Dunham
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - M. K. Raghuraman
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| |
Collapse
|
4
|
Yu SY, Xi YL, Xu FQ, Zhang J, Liu YS. Application of long read sequencing in rare diseases: The longer, the better? Eur J Med Genet 2023; 66:104871. [PMID: 38832911 DOI: 10.1016/j.ejmg.2023.104871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/11/2023] [Accepted: 10/22/2023] [Indexed: 06/06/2024]
Abstract
Rare diseases encompass a diverse group of genetic disorders that affect a small proportion of the population. Identifying the underlying genetic causes of these conditions presents significant challenges due to their genetic heterogeneity and complexity. Conventional short-read sequencing (SRS) techniques have been widely used in diagnosing and investigating of rare diseases, with limitations due to the nature of short-read lengths. In recent years, long read sequencing (LRS) technologies have emerged as a valuable tool in overcoming these limitations. This minireview provides a concise overview of the applications of LRS in rare disease research and diagnosis, including the identification of disease-causing tandem repeat expansions, structural variations, and comprehensive analysis of pathogenic variants with LRS.
Collapse
Affiliation(s)
- Si-Yan Yu
- Department of Pediatric Laboratory, Affiliated Children's Hospital of Jiangnan University (Wuxi Children's Hospital), Wuxi, Jiangsu, China; The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yu-Lin Xi
- Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
| | - Fu-Qiang Xu
- Department of Gynecology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Jian Zhang
- Department of Medical Laboratory, Affiliated Children's Hospital of Jiangnan University (Wuxi Children's Hospital), Wuxi, Jiangsu, China.
| | - Yan-Shan Liu
- Department of Pediatric Laboratory, Affiliated Children's Hospital of Jiangnan University (Wuxi Children's Hospital), Wuxi, Jiangsu, China; Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
| |
Collapse
|
5
|
Krzyścin M, Gruca-Stryjak K, Soszka-Przepiera E, Syrenicz I, Przepiera A, Cymbaluk-Płoska A, Bumbulienė Ž, Sowińska-Przepiera E. The Interplay between Muscular Grip Strength and Bone Mineral Density with Consideration of Metabolic and Endocrine Parameters in Individuals with Turner Syndrome. Biomedicines 2023; 11:3125. [PMID: 38137346 PMCID: PMC10740630 DOI: 10.3390/biomedicines11123125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/11/2023] [Accepted: 11/13/2023] [Indexed: 12/24/2023] Open
Abstract
INTRODUCTION Patients with Turner syndrome (TS) often face skeletal and muscular challenges, including reduced bone mineral density (BMD) and muscle weakness. This comprehensive study sheds light on the complex interplay between muscle strength, BMD, and metabolic and endocrine parameters in TS and healthy subjects. METHODS A cross-sectional study involving 42 TS patients and 70 healthy women was conducted. All patients had their BMD determined in the L1-L4 lumbar spine section and in the whole skeleton as well as the parameters of body fat mass (BF), and visceral fat mass (VF) were also determined. The maximum gripping force was measured with a hydraulic manual dynamometer. In addition, a number of blood hormonal and metabolic parameters were determined. RESULTS In the TS group, hand grip strength correlated positively with triglyceride levels but not with BMD. Healthy individuals had a positive link between hand grip strength and BMD, while patients with TS did not show a significant association between the two. A trend suggested that longer recombinant human growth hormone (rhGH) therapy might improve BMD in the L1-L4 region. Multiple linear regression analysis revealed that muscle strength assessment may be a potential exponent of reduced BMD, and also used clinically in young adult women but not in individuals with TS. CONCLUSIONS The relationship between BMD variables and hand grip might differ between the two groups, potentially indicating distinct musculoskeletal characteristics in TS patients. Longer rhGH therapy in TS patients may have a positive effect on BMD in the L1-L4 region. Understanding the intricate relationships between these factors is important for optimizing clinical management strategies and improving the quality of life for TS patients.
Collapse
Affiliation(s)
- Mariola Krzyścin
- Department of Reconstructive Surgery and Gynecological Oncology, Pomeranian Medical University in Szczecin, Al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
- Pediatric, Adolescent Gynecology Clinic, Department of Gynecology, Endocrinology and Gynecological Oncology, Pomeranian Medical University in Szczecin, Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | - Karolina Gruca-Stryjak
- Department of Perinatology and Gynecology, Poznan University of Medical Sciences, 60-535 Poznań, Poland
- Centers for Medical Genetics GENESIS, ul. Dąbrowskiego 77a, 60-529 Poznań, Poland
| | - Ewelina Soszka-Przepiera
- II-nd Department of Ophthalmology, Pomeranian Medical University in Szczecin, Al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Igor Syrenicz
- Department of Endocrinology, Metabolic and Internal Diseases, Pomeranian Medical University in Szczecin, Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | - Adam Przepiera
- Department of Urology and Urologic Oncology, Pomeranian Medical University in Szczecin, Al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Aneta Cymbaluk-Płoska
- Department of Reconstructive Surgery and Gynecological Oncology, Pomeranian Medical University in Szczecin, Al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Žana Bumbulienė
- Clinic of Obstetrics and Gynecology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, LT-08661 Vilnius, Lithuania
| | - Elżbieta Sowińska-Przepiera
- Pediatric, Adolescent Gynecology Clinic, Department of Gynecology, Endocrinology and Gynecological Oncology, Pomeranian Medical University in Szczecin, Unii Lubelskiej 1, 71-252 Szczecin, Poland
- Department of Endocrinology, Metabolic and Internal Diseases, Pomeranian Medical University in Szczecin, Unii Lubelskiej 1, 71-252 Szczecin, Poland
| |
Collapse
|
6
|
Grochowski CM, Bengtsson JD, Du H, Gandhi M, Lun MY, Mehaffey MG, Park K, Höps W, Benito-Garagorri E, Hasenfeld P, Korbel JO, Mahmoud M, Paulin LF, Jhangiani SN, Muzny DM, Fatih JM, Gibbs RA, Pendleton M, Harrington E, Juul S, Lindstrand A, Sedlazeck FJ, Pehlivan D, Lupski JR, Carvalho CMB. Break-induced replication underlies formation of inverted triplications and generates unexpected diversity in haplotype structures. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.02.560172. [PMID: 37873367 PMCID: PMC10592851 DOI: 10.1101/2023.10.02.560172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Background The duplication-triplication/inverted-duplication (DUP-TRP/INV-DUP) structure is a type of complex genomic rearrangement (CGR) hypothesized to result from replicative repair of DNA due to replication fork collapse. It is often mediated by a pair of inverted low-copy repeats (LCR) followed by iterative template switches resulting in at least two breakpoint junctions in cis . Although it has been identified as an important mutation signature of pathogenicity for genomic disorders and cancer genomes, its architecture remains unresolved and is predicted to display at least four structural variation (SV) haplotypes. Results Here we studied the genomic architecture of DUP-TRP/INV-DUP by investigating the genomic DNA of 24 patients with neurodevelopmental disorders identified by array comparative genomic hybridization (aCGH) on whom we found evidence for the existence of 4 out of 4 predicted SV haplotypes. Using a combination of short-read genome sequencing (GS), long- read GS, optical genome mapping and StrandSeq the haplotype structure was resolved in 18 samples. This approach refined the point of template switching between inverted LCRs in 4 samples revealing a DNA segment of ∼2.2-5.5 kb of 100% nucleotide similarity. A prediction model was developed to infer the LCR used to mediate the non-allelic homology repair. Conclusions These data provide experimental evidence supporting the hypothesis that inverted LCRs act as a recombinant substrate in replication-based repair mechanisms. Such inverted repeats are particularly relevant for formation of copy-number associated inversions, including the DUP-TRP/INV-DUP structures. Moreover, this type of CGR can result in multiple conformers which contributes to generate diverse SV haplotypes in susceptible loci .
Collapse
|
7
|
Rider SD, Damewood FJ, Gadgil RY, Hitch DC, Alhawach V, Shrestha R, Shanahan M, Zavada N, Leffak M. Suppressors of Break-Induced Replication in Human Cells. Genes (Basel) 2023; 14:genes14020398. [PMID: 36833325 PMCID: PMC9956954 DOI: 10.3390/genes14020398] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/23/2023] [Accepted: 01/29/2023] [Indexed: 02/05/2023] Open
Abstract
Short tandem DNA repeats are drivers of genome instability. To identify suppressors of break-induced mutagenesis human cells, unbiased genetic screens were conducted using a lentiviral shRNA library. The recipient cells possessed fragile non-B DNA that could induce DNA double-strand breaks (DSBs), integrated at an ectopic chromosomal site adjacent to a thymidine kinase marker gene. Mutagenesis of the thymidine kinase gene rendered cells resistant to the nucleoside analog ganciclovir (GCV). The screen identified genes that have established roles in DNA replication and repair, chromatin modification, responses to ionizing radiation, and genes encoding proteins enriched at replication forks. Novel loci implicated in BIR included olfactory receptors, the G0S2 oncogene/tumor suppressor axis, the EIF3H-METTL3 translational regulator, and the SUDS3 subunit of the Sin3A corepressor. Consistent with a role in suppressing BIR, siRNA knockdown of selected candidates increased the frequency of the GCVr phenotype and increased DNA rearrangements near the ectopic non-B DNA. Inverse PCR and DNA sequence analyses showed that hits identified in the screen increased genome instability. Further analysis quantitated repeat-induced hypermutagenesis at the ectopic site and showed that knockdown of a primary hit, COPS2, induced mutagenic hotspots, remodeled the replication fork, and increased nonallelic chromosome template switches.
Collapse
|
8
|
Schuy J, Grochowski CM, Carvalho CMB, Lindstrand A. Complex genomic rearrangements: an underestimated cause of rare diseases. Trends Genet 2022; 38:1134-1146. [PMID: 35820967 PMCID: PMC9851044 DOI: 10.1016/j.tig.2022.06.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/12/2022] [Accepted: 06/06/2022] [Indexed: 01/24/2023]
Abstract
Complex genomic rearrangements (CGRs) are known contributors to disease but are often missed during routine genetic screening. Identifying CGRs requires (i) identifying copy number variants (CNVs) concurrently with inversions, (ii) phasing multiple breakpoint junctions incis, as well as (iii) detecting and resolving structural variants (SVs) within repeats. We demonstrate how combining cytogenetics and new sequencing methodologies is being successfully applied to gain insights into the genomic architecture of CGRs. In addition, we review CGR patterns and molecular features revealed by studying constitutional genomic disorders. These data offer invaluable lessons to individuals interested in investigating CGRs, evaluating their clinical relevance and frequency, as well as assessing their impact(s) on rare genetic diseases.
Collapse
Affiliation(s)
- Jakob Schuy
- Department of Molecular Medicine and Surgery and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Pacific Northwest Research Institute, Seattle, WA, USA
| | - Anna Lindstrand
- Department of Molecular Medicine and Surgery and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.
| |
Collapse
|
9
|
Baxter SM, Posey JE, Lake NJ, Sobreira N, Chong JX, Buyske S, Blue EE, Chadwick LH, Coban-Akdemir ZH, Doheny KF, Davis CP, Lek M, Wellington C, Jhangiani SN, Gerstein M, Gibbs RA, Lifton RP, MacArthur DG, Matise TC, Lupski JR, Valle D, Bamshad MJ, Hamosh A, Mane S, Nickerson DA, Rehm HL, O'Donnell-Luria A. Centers for Mendelian Genomics: A decade of facilitating gene discovery. Genet Med 2022; 24:784-797. [PMID: 35148959 PMCID: PMC9119004 DOI: 10.1016/j.gim.2021.12.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 12/08/2021] [Accepted: 12/12/2021] [Indexed: 12/27/2022] Open
Abstract
PURPOSE Mendelian disease genomic research has undergone a massive transformation over the past decade. With increasing availability of exome and genome sequencing, the role of Mendelian research has expanded beyond data collection, sequencing, and analysis to worldwide data sharing and collaboration. METHODS Over the past 10 years, the National Institutes of Health-supported Centers for Mendelian Genomics (CMGs) have played a major role in this research and clinical evolution. RESULTS We highlight the cumulative gene discoveries facilitated by the program, biomedical research leveraged by the approach, and the larger impact on the research community. Beyond generating a list of gene-phenotype relationships and participating in widespread data sharing, the CMGs have created resources, tools, and training for the larger community to foster understanding of genes and genome variation. The CMGs have participated in a wide range of data sharing activities, including deposition of all eligible CMG data into the Analysis, Visualization, and Informatics Lab-space (AnVIL), sharing candidate genes through the Matchmaker Exchange and the CMG website, and sharing variants in Genotypes to Mendelian Phenotypes (Geno2MP) and VariantMatcher. CONCLUSION The work is far from complete; strengthening communication between research and clinical realms, continued development and sharing of knowledge and tools, and improving access to richly characterized data sets are all required to diagnose the remaining molecularly undiagnosed patients.
Collapse
Affiliation(s)
- Samantha M Baxter
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Nicole J Lake
- Department of Genetics, Yale School of Medicine, New Haven, CT; Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Nara Sobreira
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jessica X Chong
- Department of Pediatrics, Division of Genetic Medicine, University of Washington and Seattle Children's Hospital, Seattle, WA; Brotman Baty Institute for Precision Medicine, Seattle, WA
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, NJ; Department of Genetics, Rutgers University, Piscataway, NJ
| | - Elizabeth E Blue
- Brotman Baty Institute for Precision Medicine, Seattle, WA; Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA
| | - Lisa H Chadwick
- Division of Genome Sciences, National Human Genome Research Institute, Bethesda, MD
| | - Zeynep H Coban-Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Kimberly F Doheny
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Colleen P Davis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | - Monkol Lek
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Genetics, Yale School of Medicine, New Haven, CT
| | | | | | - Mark Gerstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT
| | - Richard A Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Richard P Lifton
- Department of Genetics, Yale School of Medicine, New Haven, CT; Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY
| | - Daniel G MacArthur
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia; Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX; Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - David Valle
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Michael J Bamshad
- Department of Pediatrics, Division of Genetic Medicine, University of Washington and Seattle Children's Hospital, Seattle, WA; Brotman Baty Institute for Precision Medicine, Seattle, WA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | - Ada Hamosh
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Shrikant Mane
- Department of Genetics, Yale School of Medicine, New Haven, CT
| | - Deborah A Nickerson
- Brotman Baty Institute for Precision Medicine, Seattle, WA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | - Heidi L Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA.
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA; Department of Pediatrics, Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA.
| |
Collapse
|
10
|
Nanopore sequencing technology, bioinformatics and applications. Nat Biotechnol 2021; 39:1348-1365. [PMID: 34750572 PMCID: PMC8988251 DOI: 10.1038/s41587-021-01108-x] [Citation(s) in RCA: 437] [Impact Index Per Article: 145.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 09/22/2021] [Indexed: 12/13/2022]
Abstract
Rapid advances in nanopore technologies for sequencing single long DNA and RNA molecules have led to substantial improvements in accuracy, read length and throughput. These breakthroughs have required extensive development of experimental and bioinformatics methods to fully exploit nanopore long reads for investigations of genomes, transcriptomes, epigenomes and epitranscriptomes. Nanopore sequencing is being applied in genome assembly, full-length transcript detection and base modification detection and in more specialized areas, such as rapid clinical diagnoses and outbreak surveillance. Many opportunities remain for improving data quality and analytical approaches through the development of new nanopores, base-calling methods and experimental protocols tailored to particular applications.
Collapse
|
11
|
Garza-Mayén G, Ulloa-Avilés V, Villarroel CE, Navarrete-Meneses P, Lieberman-Hernández E, Abreu-González M, Márquez-Quiroz L, Azotla-Vilchis C, Cifuentes-Goches JC, Del Castillo-Ruiz V, Durán-McKinster C, Pérez-Vera P, Salas-Labadía C. UPD(14)mat and UPD(14)mat in concomitance with mosaic small supernumerary marker chromosome 14 in two new patients with Temple syndrome. Eur J Med Genet 2021; 64:104199. [PMID: 33746039 DOI: 10.1016/j.ejmg.2021.104199] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 03/03/2021] [Accepted: 03/14/2021] [Indexed: 10/21/2022]
Abstract
Temple syndrome (TS14) can be originated by maternal uniparental disomy (UPD(14)mat), paternal deletion, or epimutation, leading to disturbances in 14q32.2 imprinted region. The most frequent phenotypic manifestations are prenatal and postnatal growth failure, hypotonia, developmental delay, small hands/feet, precocious puberty, and truncal obesity. However, the diagnosis can be challenging due to the clinical overlap with other imprinting disorders such as Silver-Russell or Prader-Willi syndromes. Although rare, TS14 has been also reported in patients with concomitant UPD(14)mat and mosaic trisomy 14. In the present report, the clinical and genetic profiles of two new patients with TS14 are described. SNParray and MS-MLPA, allowed the determination of segmental UPD(14)mat and the hypomethylation of MEG3 gene. Additionally, in one of our patients we also observed by cytogenetics a small supernumerary marker chromosome that led to partial trisomy 14 in mosaic. Only few patients with concomitant UPD(14)mat and mosaic partial trisomy 14 have been reported. Our patients share cardinal TS14 phenotypic features that are associated to the genetic abnormalities detected; however, we also observed some clinical features such as fatty liver disease that had not previously been reported as part of this syndrome. The detailed clinical, cytogenetical and molecular description of these two new patients, contributes to a more accurately delineation of this syndrome.
Collapse
Affiliation(s)
- G Garza-Mayén
- Departamento de Genética Humana, Instituto Nacional de Pediatría. Ciudad de México, Mexico.
| | - V Ulloa-Avilés
- Laboratorio de Genética y Cáncer, Departamento de Genética Humana, Instituto Nacional de Pediatría. Ciudad de México, 04530, Mexico
| | - C E Villarroel
- Departamento de Genética Humana, Instituto Nacional de Pediatría. Ciudad de México, Mexico
| | - P Navarrete-Meneses
- Laboratorio de Genética y Cáncer, Departamento de Genética Humana, Instituto Nacional de Pediatría. Ciudad de México, 04530, Mexico
| | - E Lieberman-Hernández
- Departamento de Genética Humana, Instituto Nacional de Pediatría. Ciudad de México, Mexico
| | - M Abreu-González
- Genos Médica, Centro Especializado en Genética. Ciudad de México, Mexico
| | - L Márquez-Quiroz
- Genos Médica, Centro Especializado en Genética. Ciudad de México, Mexico
| | - C Azotla-Vilchis
- Genos Médica, Centro Especializado en Genética. Ciudad de México, Mexico
| | | | - V Del Castillo-Ruiz
- Departamento de Genética Humana, Instituto Nacional de Pediatría. Ciudad de México, Mexico
| | - C Durán-McKinster
- Departamento de Dermatología, Instituto Nacional de Pediatría. Ciudad de México, Mexico
| | - P Pérez-Vera
- Laboratorio de Genética y Cáncer, Departamento de Genética Humana, Instituto Nacional de Pediatría. Ciudad de México, 04530, Mexico.
| | - C Salas-Labadía
- Laboratorio de Genética y Cáncer, Departamento de Genética Humana, Instituto Nacional de Pediatría. Ciudad de México, 04530, Mexico.
| |
Collapse
|
12
|
Lupski JR, Liu P, Stankiewicz P, Carvalho CMB, Posey JE. Clinical genomics and contextualizing genome variation in the diagnostic laboratory. Expert Rev Mol Diagn 2020; 20:995-1002. [PMID: 32954863 DOI: 10.1080/14737159.2020.1826312] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
INTRODUCTION The human genome contains the instructions for the development and biological homeostasis of the human organism and the genetic transmission of traits. Genome variation in human populations is the basis of evolution; individual or personal genomes vary tremendously, making each of us truly unique. AREAS COVERED Assaying this individual variation using genomic technologies has many applications in clinical medicine, from elucidating the biology of disease to designing strategies to ameliorate perturbations from homeostasis. Detecting pathogenic rare variation in a genome may provide a molecular diagnosis that can be informative for patient management and family healthcare. EXPERT OPINION Despite the increasing clinical use of unbiased genomic testing, including chromosome microarray analysis (CMA) with array comparative genomic hybridization (aCGH) or SNP arrays, clinical exome sequencing (cES), and whole-genome sequencing (WGS), to survey genome-wide for molecular aberrations, clinical acumen paired with an understanding of the limitations of each testing type will be needed to achieve molecular diagnoses. Potential opportunities for improving case solved rates, functionally annotating the majority of genes in the human genome, and further understanding genetic contributions to disease will empower clinical genomics and the precision medicine initiative.
Collapse
Affiliation(s)
- James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX, USA.,Department of Pediatrics, Baylor College of Medicine , Houston, TX, USA.,Human Genome Sequencing Center, Baylor College of Medicine , Houston, TX, USA
| | - Pengfei Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX, USA.,Baylor Genetics, Baylor College of Medicine , Houston, TX, USA
| | - Pawel Stankiewicz
- Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX, USA
| | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX, USA
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX, USA
| |
Collapse
|
13
|
Logsdon GA, Vollger MR, Eichler EE. Long-read human genome sequencing and its applications. Nat Rev Genet 2020; 21:597-614. [PMID: 32504078 PMCID: PMC7877196 DOI: 10.1038/s41576-020-0236-x] [Citation(s) in RCA: 423] [Impact Index Per Article: 105.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2020] [Indexed: 12/27/2022]
Abstract
Over the past decade, long-read, single-molecule DNA sequencing technologies have emerged as powerful players in genomics. With the ability to generate reads tens to thousands of kilobases in length with an accuracy approaching that of short-read sequencing technologies, these platforms have proven their ability to resolve some of the most challenging regions of the human genome, detect previously inaccessible structural variants and generate some of the first telomere-to-telomere assemblies of whole chromosomes. Long-read sequencing technologies will soon permit the routine assembly of diploid genomes, which will revolutionize genomics by revealing the full spectrum of human genetic variation, resolving some of the missing heritability and leading to the discovery of novel mechanisms of disease.
Collapse
Affiliation(s)
- Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
| |
Collapse
|
14
|
Pettersson M, Grochowski CM, Wincent J, Eisfeldt J, Breman AM, Cheung SW, Krepischi ACV, Rosenberg C, Lupski JR, Ottosson J, Lovmar L, Gacic J, Lundberg ES, Nilsson D, Carvalho CMB, Lindstrand A. Cytogenetically visible inversions are formed by multiple molecular mechanisms. Hum Mutat 2020; 41:1979-1998. [PMID: 32906200 PMCID: PMC7702065 DOI: 10.1002/humu.24106] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 08/10/2020] [Accepted: 08/28/2020] [Indexed: 01/25/2023]
Abstract
Cytogenetically detected inversions are generally assumed to be copy number and phenotypically neutral events. While nonallelic homologous recombination is thought to play a major role, recent data suggest the involvement of other molecular mechanisms in inversion formation. Using a combination of short-read whole-genome sequencing (WGS), 10X Genomics Chromium WGS, droplet digital polymerase chain reaction and array comparative genomic hybridization we investigated the genomic structure of 18 large unique cytogenetically detected chromosomal inversions and achieved nucleotide resolution of at least one chromosomal inversion junction for 13/18 (72%). Surprisingly, we observed that seemingly copy number neutral inversions can be accompanied by a copy-number gain of up to 350 kb and local genomic complexities (3/18, 17%). In the resolved inversions, the mutational signatures are consistent with nonhomologous end-joining (8/13, 62%) or microhomology-mediated break-induced replication (5/13, 38%). Our study indicates that short-read 30x coverage WGS can detect a substantial fraction of chromosomal inversions. Moreover, replication-based mechanisms are responsible for approximately 38% of those events leading to a significant proportion of inversions that are actually accompanied by additional copy-number variation potentially contributing to the overall phenotypic presentation of those patients.
Collapse
Affiliation(s)
- Maria Pettersson
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | | | - Josephine Wincent
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Jesper Eisfeldt
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
| | - Amy M Breman
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Sau W Cheung
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Ana C V Krepischi
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - Carla Rosenberg
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - 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.,Department of Pediatrics, Texas Children's Hospital, Houston, Texas, USA
| | - Jesper Ottosson
- Department of Clinical Genetics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Lovisa Lovmar
- Department of Clinical Genetics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jelena Gacic
- Department of Clinical Genetics, Linköping University Hospital, Linköping, Sweden
| | - Elisabeth S Lundberg
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Daniel Nilsson
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
| | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Pacific Northwest Research Institute, Seattle, Washington, USA
| | - Anna Lindstrand
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| |
Collapse
|
15
|
DNA Methylation in the Diagnosis of Monogenic Diseases. Genes (Basel) 2020; 11:genes11040355. [PMID: 32224912 PMCID: PMC7231024 DOI: 10.3390/genes11040355] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 03/13/2020] [Accepted: 03/24/2020] [Indexed: 02/08/2023] Open
Abstract
DNA methylation in the human genome is largely programmed and shaped by transcription factor binding and interaction between DNA methyltransferases and histone marks during gamete and embryo development. Normal methylation profiles can be modified at single or multiple loci, more frequently as consequences of genetic variants acting in cis or in trans, or in some cases stochastically or through interaction with environmental factors. For many developmental disorders, specific methylation patterns or signatures can be detected in blood DNA. The recent use of high-throughput assays investigating the whole genome has largely increased the number of diseases for which DNA methylation analysis provides information for their diagnosis. Here, we review the methylation abnormalities that have been associated with mono/oligogenic diseases, their relationship with genotype and phenotype and relevance for diagnosis, as well as the limitations in their use and interpretation of results.
Collapse
|
16
|
Burdick KJ, Cogan JD, Rives LC, Robertson AK, Koziura ME, Brokamp E, Duncan L, Hannig V, Pfotenhauer J, Vanzo R, Paul MS, Bican A, Morgan T, Duis J, Newman JH, Hamid R, Phillips JA. Limitations of exome sequencing in detecting rare and undiagnosed diseases. Am J Med Genet A 2020; 182:1400-1406. [PMID: 32190976 DOI: 10.1002/ajmg.a.61558] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 01/28/2020] [Accepted: 03/03/2020] [Indexed: 12/21/2022]
Abstract
While exome sequencing (ES) is commonly the final diagnostic step in clinical genetics, it may miss diagnoses. To clarify the limitations of ES, we investigated the diagnostic yield of genetic tests beyond ES in our Undiagnosed Diseases Network (UDN) participants. We reviewed the yield of additional genetic testing including genome sequencing (GS), copy number variant (CNV), noncoding variant (NCV), repeat expansion (RE), or methylation testing in UDN cases with nondiagnostic ES results. Overall, 36/54 (67%) of total diagnoses were based on clinical findings and coding variants found by ES and 3/54 (6%) were based on clinical findings only. The remaining 15/54 (28%) required testing beyond ES. Of these, 7/15 (47%) had NCV, 6/15 (40%) CNV, and 2/15 (13%) had a RE or a DNA methylation disorder. Thus 18/54 (33%) of diagnoses were not solved exclusively by ES. Several methods were needed to detect and/or confirm the functional effects of the variants missed by ES, and in some cases by GS. These results indicate that tests to detect elusive variants should be considered after nondiagnostic preliminary steps. Further studies are needed to determine the cost-effectiveness of tests beyond ES that provide diagnoses and insights to possible treatment.
Collapse
Affiliation(s)
- Kendall J Burdick
- University of Massachusetts of Medical School, Worcester, Massachusetts, USA
| | - Joy D Cogan
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Lynette C Rives
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Amy K Robertson
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Mary E Koziura
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Elly Brokamp
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Laura Duncan
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Vickie Hannig
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jean Pfotenhauer
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Rena Vanzo
- Lineagen Inc., Salt Lake City, Utah, USA
| | | | - Anna Bican
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Thomas Morgan
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jessica Duis
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John H Newman
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Rizwan Hamid
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John A Phillips
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | |
Collapse
|