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Kernohan KD, Boycott KM. The expanding diagnostic toolbox for rare genetic diseases. Nat Rev Genet 2024; 25:401-415. [PMID: 38238519 DOI: 10.1038/s41576-023-00683-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2023] [Indexed: 05/23/2024]
Abstract
Genomic technologies, such as targeted, exome and short-read genome sequencing approaches, have revolutionized the care of patients with rare genetic diseases. However, more than half of patients remain without a diagnosis. Emerging approaches from research-based settings such as long-read genome sequencing and optical genome mapping hold promise for improving the identification of disease-causal genetic variants. In addition, new omic technologies that measure the transcriptome, epigenome, proteome or metabolome are showing great potential for variant interpretation. As genetic testing options rapidly expand, the clinical community needs to be mindful of their individual strengths and limitations, as well as remaining challenges, to select the appropriate diagnostic test, correctly interpret results and drive innovation to address insufficiencies. If used effectively - through truly integrative multi-omics approaches and data sharing - the resulting large quantities of data from these established and emerging technologies will greatly improve the interpretative power of genetic and genomic diagnostics for rare diseases.
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Affiliation(s)
- Kristin D Kernohan
- CHEO Research Institute, University of Ottawa, Ottawa, ON, Canada
- Newborn Screening Ontario, CHEO, Ottawa, ON, Canada
| | - Kym M Boycott
- CHEO Research Institute, University of Ottawa, Ottawa, ON, Canada.
- Department of Genetics, CHEO, Ottawa, ON, Canada.
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2
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Boyanton BL, Zarate YA, Broadfoot BG, Kelly T, Crawford BD. NR3C2 microdeletions-an underrecognized cause of pseudohypoaldosteronism type 1A: a case report and literature review. Lab Med 2024:lmae005. [PMID: 38493321 DOI: 10.1093/labmed/lmae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2024] Open
Abstract
OBJECTIVES Pseudohypoaldosteronism type 1A (PHA1A) is caused by haploinsufficiency of the mineralocorticoid receptor (MR). Heterozygous small insertions/deletions, transitions, and/or transversions within NR3C2 comprise the majority (85%-90%) of pathogenic copy number variants. Structural chromosomal abnormalities, contiguous gene deletion syndromes, and microdeletions are infrequent. We describe a neonate with PHA1A due to a novel NR3C2 microdeletion involving exons 1-2. METHODS Literature review identified 39 individuals with PHA1A due to NR3C2 microdeletions. Transmission modality, variant description(s), testing method(s), exon(s) deleted, and affected functional domain(s) were characterized. RESULTS In total, 40 individuals with NR3C2 microdeletions were described: 19 involved contiguous exons encoding a single MR domain; 21 involved contiguous exons encoding multiple MR domains. Transmission modality frequency was familial (65%), de novo (20%), or unknown (15%). Sequencing (Sanger or short-read next-generation) failed to detect microdeletions in 100% of tested individuals (n = 38). All were detected using deletion/duplication testing modalities. In 2 individuals, only microarray-based testing was performed; microdeletions were detected in both cases. CONCLUSION Initial testing for PHA1A should rely on sequencing to detect the most common genetic alterations. Deletion/duplication analysis should be performed when initial testing is nondiagnostic. Most NR3C2 microdeletions are parentally transmitted, thus highlighting the importance of familial genetic testing and counseling.
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Affiliation(s)
- Bobby L Boyanton
- Department of Pathology, University of Arkansas for Medical Sciences and Arkansas Children's Hospital, Little Rock, AR, US
| | - Yuri A Zarate
- Department of Pediatrics, Section of Genetics and Metabolism, University of Arkansas for Medical Sciences and Arkansas Children's Hospital, Little Rock, AR, US
- Division of Genetics and Metabolism, University of Kentucky, Lexington, KY, US
| | - Brannon G Broadfoot
- Department of Pathology, University of Arkansas for Medical Sciences and Arkansas Children's Hospital, Little Rock, AR, US
| | - Thomas Kelly
- Department of Pathology, University of Arkansas for Medical Sciences and Arkansas Children's Hospital, Little Rock, AR, US
| | - Brendan D Crawford
- Department of Medicine, Division of Pediatric Nephrology, University of Arkansas for Medical Sciences and Arkansas Children's Hospital, Little Rock, AR, US
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3
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Meng X, Wang M, Luo M, Sun L, Yan Q, Liu Y. Systematic evaluation of multiple NGS platforms for structural variants detection. J Biol Chem 2023; 299:105436. [PMID: 37944616 PMCID: PMC10724692 DOI: 10.1016/j.jbc.2023.105436] [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: 09/28/2023] [Revised: 10/29/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
Structural variations (SV) are critical genome changes affecting human diseases. Although many hybridization-based methods exist, evaluating SVs through next-generation sequencing (NGS) data is still necessary for broader research exploration. Here, we comprehensively compared the performance of 16 SV callers and multiple NGS platforms using NA12878 whole genome sequencing (WGS) datasets. The results indicated that several SV callers performed well relatively, such as Manta, GRIDSS, LUMPY, TARDIS, FermiKit, and Wham. Meanwhile, all NGS platforms have a similar performance using a single software. Additionally, we found that the source of undetected SVs was mostly from long reads datasets, therefore, the more appropriate strategy for accurate SV detection will be an integration of long and shorter reads in the future. At present, in the period of NGS as a mainstream method in bioinformatics, our study would provide helpful and comprehensive guidelines for specific categories of SV research.
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Affiliation(s)
- Xuan Meng
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Miao Wang
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China
| | - Mingjie Luo
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China
| | - Lei Sun
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China
| | - Qin Yan
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China
| | - Yongfeng Liu
- Research Cooperation Department, GeneMind Biosciences Company Limited, Shenzhen, China.
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4
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Zhang Z, van Treuren R, Yang T, Hu Y, Zhou W, Liu H, Wei T. A comprehensive lettuce variation map reveals the impact of structural variations in agronomic traits. BMC Genomics 2023; 24:659. [PMID: 37919641 PMCID: PMC10621239 DOI: 10.1186/s12864-023-09739-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 10/12/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND As an important vegetable crop, cultivated lettuce is grown worldwide and a great variety of agronomic traits have been preserved within germplasm collections. The mechanisms underlying these phenotypic variations remain to be elucidated in association with sequence variations. Compared with single nucleotide polymorphisms, structural variations (SVs) that have more impacts on gene functions remain largely uncharacterized in the lettuce genome. RESULTS Here, we produced a comprehensive SV set for 333 wild and cultivated lettuce accessions. Comparison of SV frequencies showed that the SVs prevalent in L. sativa affected the genes enriched in carbohydrate derivative catabolic and secondary metabolic processes. Genome-wide association analysis of seven agronomic traits uncovered potentially causal SVs associated with seed coat color and leaf anthocyanin content. CONCLUSION Our work characterized a great abundance of SVs in the lettuce genome, and provides a valuable genomic resource for future lettuce breeding.
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Affiliation(s)
- Zhaowu Zhang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Agricultural Genomics, BGI Research, Shenzhen, 518083, China
| | - Rob van Treuren
- Centre for Genetic Resources, the Netherlands, Wageningen University & Research, Wageningen, the Netherlands
| | - Ting Yang
- State Key Laboratory of Agricultural Genomics, BGI Research, Shenzhen, 518083, China
| | - Yulan Hu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Agricultural Genomics, BGI Research, Shenzhen, 518083, China
| | - Wenhui Zhou
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Agricultural Genomics, BGI Research, Shenzhen, 518083, China
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, BGI Research, Shenzhen, 518083, China.
| | - Tong Wei
- State Key Laboratory of Agricultural Genomics, BGI Research, Shenzhen, 518083, China.
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5
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de la Morena-Barrio B, Palomo Á, Padilla J, Martín-Fernández L, Rojo-Carrillo JJ, Cifuentes R, Bravo-Pérez C, Garrido-Rodríguez P, Miñano A, Rubio AM, Pagán J, Llamas M, Vicente V, Vidal F, Lozano ML, Corral J, de la Morena-Barrio ME. Impact of genetic structural variants in factor XI deficiency: identification, accurate characterization, and inferred mechanism by long-read sequencing. J Thromb Haemost 2023; 21:1779-1788. [PMID: 36940803 DOI: 10.1016/j.jtha.2023.03.009] [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: 12/23/2022] [Revised: 03/07/2023] [Accepted: 03/09/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND Congenital factor XI (FXI) deficiency is a probably underestimated coagulopathy that confers antithrombotic protection. Characterization of genetic defects in F11 is mainly focused on the identification of single-nucleotide variants and small insertion/deletions because they represent up to 99% of the alterations accounting for factor deficiency, with only 3 gross gene defects of structural variants (SVs) having been described. OBJECTIVES To identify and characterize the SVs affecting F11. METHODS The study was performed in 93 unrelated subjects with FXI deficiency recruited in Spanish hospitals over a period of 25 years (1997-2022). F11 was analyzed by next-generation sequencing, multiplex ligand probe amplification, and long-read sequencing. RESULTS Our study identified 30 different genetic variants. Interestingly, we found 3 SVs, all heterozygous: a complex duplication affecting exons 8 and 9, a tandem duplication of exon 14, and a large deletion affecting the whole gene. Nucleotide resolution obtained by long-read sequencing revealed Alu repetitive elements involved in all breakpoints. The large deletion was probably generated de novo in the paternal allele during gametogenesis, and despite affecting 30 additional genes, no syndromic features were described. CONCLUSION SVs may account for a high proportion of F11 genetic defects implicated in the molecular pathology of congenital FXI deficiency. These SVs, likely caused by a nonallelic homologous recombination involving repetitive elements, are heterogeneous in both type and length and may be de novo. These data support the inclusion of methods to detect SVs in this disorder, with long-read-based methods being the most appropriate because they detect all SVs and achieve adequate nucleotide resolution.
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Affiliation(s)
- Belén de la Morena-Barrio
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Ángeles Palomo
- Servicio de Hematología y Hemoterapia del centro Materno-Infantil del Hospital Regional Universitario Carlos de Haya, Málaga, Spain
| | - José Padilla
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Laura Martín-Fernández
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain; Medicina Transfusional. Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Juan José Rojo-Carrillo
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Rosa Cifuentes
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Carlos Bravo-Pérez
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Pedro Garrido-Rodríguez
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Antonia Miñano
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Ana María Rubio
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Javier Pagán
- Servicio de Medicina Interna, Hospital Universitario Morales Meseguer, Murcia, Spain
| | - María Llamas
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Vicente Vicente
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Francisco Vidal
- Laboratori de Coagulopaties Congènites, Banc de Sang i Teixits, Barcelona, Spain; Medicina Transfusional. Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
| | - María Luisa Lozano
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain
| | - Javier Corral
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain.
| | - María Eugenia de la Morena-Barrio
- Servicio de Hematología, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria-Pascual Parrilla, Centro de Investigación Biomédica en Red de Enfermedades Raras-Instituto de Salud Carlos III, Murcia, Spain.
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6
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Spealman P, De T, Chuong JN, Gresham D. Best Practices in Microbial Experimental Evolution: Using Reporters and Long-Read Sequencing to Identify Copy Number Variation in Experimental Evolution. J Mol Evol 2023; 91:356-368. [PMID: 37012421 PMCID: PMC10275804 DOI: 10.1007/s00239-023-10102-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 02/21/2023] [Indexed: 04/05/2023]
Abstract
Copy number variants (CNVs), comprising gene amplifications and deletions, are a pervasive class of heritable variation. CNVs play a key role in rapid adaptation in both natural, and experimental, evolution. However, despite the advent of new DNA sequencing technologies, detection and quantification of CNVs in heterogeneous populations has remained challenging. Here, we summarize recent advances in the use of CNV reporters that provide a facile means of quantifying de novo CNVs at a specific locus in the genome, and nanopore sequencing, for resolving the often complex structures of CNVs. We provide guidance for the engineering and analysis of CNV reporters and practical guidelines for single-cell analysis of CNVs using flow cytometry. We summarize recent advances in nanopore sequencing, discuss the utility of this technology, and provide guidance for the bioinformatic analysis of these data to define the molecular structure of CNVs. The combination of reporter systems for tracking and isolating CNV lineages and long-read DNA sequencing for characterizing CNV structures enables unprecedented resolution of the mechanisms by which CNVs are generated and their evolutionary dynamics.
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Affiliation(s)
- Pieter Spealman
- Department of Biology, New York University, New York, NY, 10003, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Titir De
- Department of Biology, New York University, New York, NY, 10003, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Julie N Chuong
- Department of Biology, New York University, New York, NY, 10003, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - David Gresham
- Department of Biology, New York University, New York, NY, 10003, USA.
- Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
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7
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Abbes S, Baldi S, Sellami H, Amedei A, Keskes L. Molecular methods for colorectal cancer screening: Progress with next-generation sequencing evolution. World J Gastrointest Oncol 2023; 15:425-442. [PMID: 37009313 PMCID: PMC10052664 DOI: 10.4251/wjgo.v15.i3.425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/02/2023] [Accepted: 02/15/2023] [Indexed: 03/14/2023] Open
Abstract
Currently, colorectal cancer (CRC) represents the third most common malignancy and the second most deadly cancer worldwide, with a higher incidence in developed countries. Like other solid tumors, CRC is a heterogeneous genomic disease in which various alterations, such as point mutations, genomic rearrangements, gene fusions or chromosomal copy number alterations, can contribute to the disease development. However, because of its orderly natural history, easily accessible onset location and high lifetime incidence, CRC is ideally suited for preventive intervention, but the many screening efforts of the last decades have been compromised by performance limitations and low penetrance of the standard screening tools. The advent of next-generation sequencing (NGS) has both facilitated the identification of previously unrecognized CRC features such as its relationship with gut microbial pathogens and revolutionized the speed and throughput of cataloguing CRC-related genomic alterations. Hence, in this review, we summarized the several diagnostic tools used for CRC screening in the past and the present, focusing on recent NGS approaches and their revolutionary role in the identification of novel genomic CRC characteristics, the advancement of understanding the CRC carcinogenesis and the screening of clinically actionable targets for personalized medicine.
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Affiliation(s)
- Salma Abbes
- Laboratory of Parasitic and Fungal Molecular Biology, University of Sfax, Sfax 3029, Tunisia
| | - Simone Baldi
- Department of Experimental and Clinical Medicine, University of Florence, Florence 50134, Italy
| | - Hayet Sellami
- Drosophila Research Unit-Parasitology and Mycologie Laboratory, University of Sfax, Sfax 3029, Tunisia
| | - Amedeo Amedei
- Department of Experimental and Clinical Medicine, University of Florence, Florence 50134, Italy
- SOD of Interdisciplinary Internal Medicine, Careggi University Hospital, Florence 50134, Italy
| | - Leila Keskes
- Laboratory of Human Molecular Genetic, University of Sfax, Sfax 3029, Tunisia
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8
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Soto DC, Uribe-Salazar JM, Shew CJ, Sekar A, McGinty SP, Dennis MY. Genomic structural variation: A complex but important driver of human evolution. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023. [PMID: 36794631 DOI: 10.1002/ajpa.24713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 01/21/2023] [Accepted: 02/05/2023] [Indexed: 02/17/2023]
Abstract
Structural variants (SVs)-including duplications, deletions, and inversions of DNA-can have significant genomic and functional impacts but are technically difficult to identify and assay compared with single-nucleotide variants. With the aid of new genomic technologies, it has become clear that SVs account for significant differences across and within species. This phenomenon is particularly well-documented for humans and other primates due to the wealth of sequence data available. In great apes, SVs affect a larger number of nucleotides than single-nucleotide variants, with many identified SVs exhibiting population and species specificity. In this review, we highlight the importance of SVs in human evolution by (1) how they have shaped great ape genomes resulting in sensitized regions associated with traits and diseases, (2) their impact on gene functions and regulation, which subsequently has played a role in natural selection, and (3) the role of gene duplications in human brain evolution. We further discuss how to incorporate SVs in research, including the strengths and limitations of various genomic approaches. Finally, we propose future considerations in integrating existing data and biospecimens with the ever-expanding SV compendium propelled by biotechnology advancements.
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Affiliation(s)
- Daniela C Soto
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - José M Uribe-Salazar
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - Colin J Shew
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - Aarthi Sekar
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - Sean P McGinty
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - Megan Y Dennis
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
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9
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Hanlon VCT, Lansdorp PM, Guryev V. A survey of current methods to detect and genotype inversions. Hum Mutat 2022; 43:1576-1589. [PMID: 36047337 DOI: 10.1002/humu.24458] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/26/2022] [Accepted: 08/29/2022] [Indexed: 11/11/2022]
Abstract
Polymorphic inversions are ubiquitous in humans, and they have been linked to both adaptation and disease. Following their discovery in Drosophila more than a century ago, inversions have proved to be more elusive than other structural variants. A wide variety of methods for the detection and genotyping of inversions have recently been developed: multiple techniques based on selective amplification by PCR, short- and long-read sequencing approaches, principal component analysis of small variant haplotypes, template strand sequencing, optical mapping, and various genome assembly methods. Many methods apply complex wet lab protocols or increasingly refined bioinformatic analyses. This review is an attempt to provide a practical summary and comparison of the methods that are in current use, with a focus on metrics such as the maximum size of segmental duplications at inversion breakpoints that each method can tolerate, the size range of inversions that they recover, their throughput, and whether the locations of putative inversions must be known beforehand. This article is protected by copyright. All rights reserved.
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Affiliation(s)
| | - Peter M Lansdorp
- Terry Fox Laboratory, BC Cancer Agency, Vancouver, BC, V5Z 1L3, Canada.,Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
| | - Victor Guryev
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, 9713 AV, Groningen, The Netherlands
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10
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Zhou Y, Yang L, Han X, Han J, Hu Y, Li F, Xia H, Peng L, Boschiero C, Rosen BD, Bickhart DM, Zhang S, Guo A, Van Tassell CP, Smith TPL, Yang L, Liu GE. Assembly of a pangenome for global cattle reveals missing sequences and novel structural variations, providing new insights into their diversity and evolutionary history. Genome Res 2022; 32:gr.276550.122. [PMID: 35977842 PMCID: PMC9435747 DOI: 10.1101/gr.276550.122] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 07/21/2022] [Indexed: 02/03/2023]
Abstract
A cattle pangenome representation was created based on the genome sequences of 898 cattle representing 57 breeds. The pangenome identified 83 Mb of sequence not found in the cattle reference genome, representing 3.1% novel sequence compared with the 2.71-Gb reference. A catalog of structural variants developed from this cattle population identified 3.3 million deletions, 0.12 million inversions, and 0.18 million duplications. Estimates of breed ancestry and hybridization between cattle breeds using insertion/deletions as markers were similar to those produced by single nucleotide polymorphism-based analysis. Hundreds of deletions were observed to have stratification based on subspecies and breed. For example, an insertion of a Bov-tA1 repeat element was identified in the first intron of the APPL2 gene and correlated with cattle breed geographic distribution. This insertion falls within a segment overlapping predicted enhancer and promoter regions of the gene, and could affect important traits such as immune response, olfactory functions, cell proliferation, and glucose metabolism in muscle. The results indicate that pangenomes are a valuable resource for studying diversity and evolutionary history, and help to delineate how domestication, trait-based breeding, and adaptive introgression have shaped the cattle genome.
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Affiliation(s)
- Yang Zhou
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - Lv Yang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiaotao Han
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - Jiazheng Han
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - Yan Hu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - Fan Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - Han Xia
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - Lingwei Peng
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - Clarissa Boschiero
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, Maryland 20705, USA
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, Maryland 20705, USA
| | - Derek M Bickhart
- Dairy Forage Research Center, ARS USDA, Madison, Wisconsin 53706, USA
| | - Shujun Zhang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - Aizhen Guo
- The State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
| | - Curtis P Van Tassell
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, Maryland 20705, USA
| | - Timothy P L Smith
- U.S. Meat Animal Research Center, ARS USDA, Clay Center, Nebraska 68933, USA
| | - Liguo Yang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, Maryland 20705, USA
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11
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Ganini C, Amelio I, Bertolo R, Bove P, Buonomo OC, Candi E, Cipriani C, Di Daniele N, Juhl H, Mauriello A, Marani C, Marshall J, Melino S, Marchetti P, Montanaro M, Natale ME, Novelli F, Palmieri G, Piacentini M, Rendina EA, Roselli M, Sica G, Tesauro M, Rovella V, Tisone G, Shi Y, Wang Y, Melino G. Global mapping of cancers: The Cancer Genome Atlas and beyond. Mol Oncol 2021; 15:2823-2840. [PMID: 34245122 PMCID: PMC8564642 DOI: 10.1002/1878-0261.13056] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/04/2021] [Accepted: 07/09/2021] [Indexed: 12/20/2022] Open
Abstract
Cancer genomes have been explored from the early 2000s through massive exome sequencing efforts, leading to the publication of The Cancer Genome Atlas in 2013. Sequencing techniques have been developed alongside this project and have allowed scientists to bypass the limitation of costs for whole-genome sequencing (WGS) of single specimens by developing more accurate and extensive cancer sequencing projects, such as deep sequencing of whole genomes and transcriptomic analysis. The Pan-Cancer Analysis of Whole Genomes recently published WGS data from more than 2600 human cancers together with almost 1200 related transcriptomes. The application of WGS on a large database allowed, for the first time in history, a global analysis of features such as molecular signatures, large structural variations and noncoding regions of the genome, as well as the evaluation of RNA alterations in the absence of underlying DNA mutations. The vast amount of data generated still needs to be thoroughly deciphered, and the advent of machine-learning approaches will be the next step towards the generation of personalized approaches for cancer medicine. The present manuscript wants to give a broad perspective on some of the biological evidence derived from the largest sequencing attempts on human cancers so far, discussing advantages and limitations of this approach and its power in the era of machine learning.
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Affiliation(s)
- Carlo Ganini
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
- IDI‐IRCCSRomeItaly
| | - Ivano Amelio
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Riccardo Bertolo
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
- San Carlo di Nancy HospitalRomeItaly
| | - Pierluigi Bove
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
- San Carlo di Nancy HospitalRomeItaly
| | - Oreste Claudio Buonomo
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Eleonora Candi
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
- IDI‐IRCCSRomeItaly
| | - Chiara Cipriani
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
- San Carlo di Nancy HospitalRomeItaly
| | - Nicola Di Daniele
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | | | - Alessandro Mauriello
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Carla Marani
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
- San Carlo di Nancy HospitalRomeItaly
| | - John Marshall
- Medstar Georgetown University HospitalGeorgetown UniversityWashingtonDCUSA
| | - Sonia Melino
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | | | - Manuela Montanaro
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Maria Emanuela Natale
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
- San Carlo di Nancy HospitalRomeItaly
| | - Flavia Novelli
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Giampiero Palmieri
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Mauro Piacentini
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | | | - Mario Roselli
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Giuseppe Sica
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Manfredi Tesauro
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Valentina Rovella
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Giuseppe Tisone
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
| | - Yufang Shi
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and HealthShanghai Institutes for Biological SciencesUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghaiChina
- The First Affiliated Hospital of Soochow University and State Key Laboratory of Radiation Medicine and ProtectionInstitutes for Translational MedicineSoochow UniversityChina
| | - Ying Wang
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and HealthShanghai Institutes for Biological SciencesUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghaiChina
| | - Gerry Melino
- Department of Experimental MedicineTorvergata Oncoscience Research Centre of Excellence, TORUniversity of Rome Tor VergataItaly
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12
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Maroilley T, Li X, Oldach M, Jean F, Stasiuk SJ, Tarailo-Graovac M. Deciphering complex genome rearrangements in C. elegans using short-read whole genome sequencing. Sci Rep 2021; 11:18258. [PMID: 34521941 PMCID: PMC8440550 DOI: 10.1038/s41598-021-97764-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 08/30/2021] [Indexed: 12/14/2022] Open
Abstract
Genomic rearrangements cause congenital disorders, cancer, and complex diseases in human. Yet, they are still understudied in rare diseases because their detection is challenging, despite the advent of whole genome sequencing (WGS) technologies. Short-read (srWGS) and long-read WGS approaches are regularly compared, and the latter is commonly recommended in studies focusing on genomic rearrangements. However, srWGS is currently the most economical, accurate, and widely supported technology. In Caenorhabditis elegans (C. elegans), such variants, induced by various mutagenesis processes, have been used for decades to balance large genomic regions by preventing chromosomal crossover events and allowing the maintenance of lethal mutations. Interestingly, those chromosomal rearrangements have rarely been characterized on a molecular level. To evaluate the ability of srWGS to detect various types of complex genomic rearrangements, we sequenced three balancer strains using short-read Illumina technology. As we experimentally validated the breakpoints uncovered by srWGS, we showed that, by combining several types of analyses, srWGS enables the detection of a reciprocal translocation (eT1), a free duplication (sDp3), a large deletion (sC4), and chromoanagenesis events. Thus, applying srWGS to decipher real complex genomic rearrangements in model organisms may help designing efficient bioinformatics pipelines with systematic detection of complex rearrangements in human genomes.
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Affiliation(s)
- Tatiana Maroilley
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Xiao Li
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Matthew Oldach
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Francesca Jean
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Susan J Stasiuk
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Maja Tarailo-Graovac
- Departments of Biochemistry, Molecular Biology and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada. .,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 4N1, Canada.
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