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Logsdon GA, Ebert P, Audano PA, Loftus M, Porubsky D, Ebler J, Yilmaz F, Hallast P, Prodanov T, Yoo D, Paisie CA, Harvey WT, Zhao X, Martino GV, Henglin M, Munson KM, Rabbani K, Chin CS, Gu B, Ashraf H, Austine-Orimoloye O, Balachandran P, Bonder MJ, Cheng H, Chong Z, Crabtree J, Gerstein M, Guethlein LA, Hasenfeld P, Hickey G, Hoekzema K, Hunt SE, Jensen M, Jiang Y, Koren S, Kwon Y, Li C, Li H, Li J, Norman PJ, Oshima KK, Paten B, Phillippy AM, Pollock NR, Rausch T, Rautiainen M, Scholz S, Song Y, Söylev A, Sulovari A, Surapaneni L, Tsapalou V, Zhou W, Zhou Y, Zhu Q, Zody MC, Mills RE, Devine SE, Shi X, Talkowski ME, Chaisson MJP, Dilthey AT, Konkel MK, Korbel JO, Lee C, Beck CR, Eichler EE, Marschall T. Complex genetic variation in nearly complete human genomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.24.614721. [PMID: 39372794 PMCID: PMC11451754 DOI: 10.1101/2024.09.24.614721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
Diverse sets of complete human genomes are required to construct a pangenome reference and to understand the extent of complex structural variation. Here, we sequence 65 diverse human genomes and build 130 haplotype-resolved assemblies (130 Mbp median continuity), closing 92% of all previous assembly gaps1,2 and reaching telomere-to-telomere (T2T) status for 39% of the chromosomes. We highlight complete sequence continuity of complex loci, including the major histocompatibility complex (MHC), SMN1/SMN2, NBPF8, and AMY1/AMY2, and fully resolve 1,852 complex structural variants (SVs). In addition, we completely assemble and validate 1,246 human centromeres. We find up to 30-fold variation in α-satellite high-order repeat (HOR) array length and characterize the pattern of mobile element insertions into α-satellite HOR arrays. While most centromeres predict a single site of kinetochore attachment, epigenetic analysis suggests the presence of two hypomethylated regions for 7% of centromeres. Combining our data with the draft pangenome reference1 significantly enhances genotyping accuracy from short-read data, enabling whole-genome inference3 to a median quality value (QV) of 45. Using this approach, 26,115 SVs per sample are detected, substantially increasing the number of SVs now amenable to downstream disease association studies.
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Affiliation(s)
- Glennis A Logsdon
- Perelman School of Medicine, University of Pennsylvania, Department of Genetics, Epigenetics Institute, Philadelphia, PA, USA
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Peter Ebert
- Core Unit Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Peter A Audano
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Mark Loftus
- Clemson University, Department of Genetics & Biochemistry, Clemson, SC, USA
- Center for Human Genetics, Clemson University, Greenwood, SC, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Jana Ebler
- Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Feyza Yilmaz
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Timofey Prodanov
- Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Carolyn A Paisie
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Xuefang Zhao
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gianni V Martino
- Clemson University, Department of Genetics & Biochemistry, Clemson, SC, USA
- Center for Human Genetics, Clemson University, Greenwood, SC, USA
- Medical University of South Carolina, College of Graduate Studies, Charleston, SC, USA
| | - Mir Henglin
- Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Keon Rabbani
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Chen-Shan Chin
- Foundation of Biological Data Sciences, Belmont, CA, USA
| | - Bida Gu
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Hufsah Ashraf
- Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Olanrewaju Austine-Orimoloye
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | | | - Marc Jan Bonder
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Oncode Institute, Utrecht, The Netherlands
- Division of Computational Genomics and Systems Genetics, German Cancer Research Center, Heidelberg, Germany
| | - Haoyu Cheng
- Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA
| | - Zechen Chong
- Department of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama, Birmingham, AL, USA
| | - Jonathan Crabtree
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mark Gerstein
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Lisbeth A Guethlein
- Department of Structural Biology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Patrick Hasenfeld
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Glenn Hickey
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Matthew Jensen
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Yunzhe Jiang
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Sergey Koren
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Youngjun Kwon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Chong Li
- Temple University, Department of Computer and Information Sciences, College of Science and Technology, Philadelphia, PA, USA
- Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA, USA
| | - Heng Li
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Jiaqi Li
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Paul J Norman
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Keisuke K Oshima
- Perelman School of Medicine, University of Pennsylvania, Department of Genetics, Epigenetics Institute, Philadelphia, PA, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Adam M Phillippy
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nicholas R Pollock
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Tobias Rausch
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Mikko Rautiainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Stephan Scholz
- Institute of Medical Microbiology and Hospital Hygiene, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Yuwei Song
- Department of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama, Birmingham, AL, USA
| | - Arda Söylev
- Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Arvis Sulovari
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Likhitha Surapaneni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Vasiliki Tsapalou
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Weichen Zhou
- Department of Computational Medicine & Bioinformatics, University of Michigan, MI, USA
| | - Ying Zhou
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Qihui Zhu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Stanford Health Care, Palo Alto, CA, USA
| | | | - Ryan E Mills
- Department of Computational Medicine & Bioinformatics, University of Michigan, MI, USA
| | - Scott E Devine
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Xinghua Shi
- Temple University, Department of Computer and Information Sciences, College of Science and Technology, Philadelphia, PA, USA
- Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA, USA
| | - Mike E Talkowski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Alexander T Dilthey
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
- Institute of Medical Microbiology and Hospital Hygiene, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Miriam K Konkel
- Clemson University, Department of Genetics & Biochemistry, Clemson, SC, USA
- Center for Human Genetics, Clemson University, Greenwood, SC, USA
| | - Jan O Korbel
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Christine R Beck
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- The University of Connecticut Health Center, Farmington, CT, 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
| | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
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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; 4:100590. [PMID: 38908378 PMCID: PMC11293582 DOI: 10.1016/j.xgen.2024.100590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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.
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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
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3
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Daida K, Yoshino H, Malik L, Baker B, Ishiguro M, Genner R, Paquette K, Li Y, Nishioka K, Masuzugawa S, Hirano M, Takahashi K, Kolmogolv M, Billingsley KJ, Funayama M, Blauwendraat C, Hattori N. The Utility of Long-Read Sequencing in Diagnosing Genetic Autosomal Recessive Parkinson's Disease: a genetic screening study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.14.24308784. [PMID: 39108517 PMCID: PMC11302705 DOI: 10.1101/2024.06.14.24308784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/10/2024]
Abstract
Background Mutations within the genes PRKN and PINK1 are the leading cause of early onset autosomal recessive Parkinson's disease (PD). However, the genetic cause of most early-onset PD (EOPD) cases still remains unresolved. Long-read sequencing has successfully identified many pathogenic structural variants that cause disease, but this technology has not been widely applied to PD. We recently identified the genetic cause of EOPD in a pair of monozygotic twins by uncovering a complex structural variant that spans over 7 Mb, utilizing Oxford Nanopore Technologies (ONT) long-read sequencing. In this study, we aimed to expand on this and assess whether a second variant could be detected with ONT long-read sequencing in other unresolved EOPD cases reported to carry one heterozygous variant in PRKN or PINK1. Methods ONT long-read sequencing was performed on patients with one reported PRKN/PINK1 pathogenic variant. EOPD patients with an age at onset younger than 50 were included in this study. As a positive control, we also included EOPD patients who had already been identified to carry two known PRKN pathogenic variants. Initial genetic testing was performed using either short-read targeted panel sequencing for single nucleotide variants and multiplex ligation-dependent probe amplification (MLPA) for copy number variants. Results 48 patients were included in this study (PRKN "one-variant" n = 24, PINK1 "one-variant" n = 12, PRKN "two-variants" n = 12). Using ONT long-read sequencing, we detected a second pathogenic variant in six PRKN "one-variant" patients (26%, 6/23) but none in the PINK1 "one-variant" patients (0%, 0/12). Long-read sequencing identified one case with a complex inversion, two instances of structural variant overlap, and three cases of duplication. In addition, in the positive control PRKN "two-variants" group, we were able to identify both pathogenic variants in PRKN in all the patients (100%, 12/12). Conclusions This data highlights that ONT long-read sequencing is a powerful tool to identify a pathogenic structural variant at the PRKN locus that is often missed by conventional methods. Therefore, for cases where conventional methods fail to detect a second variant for EOPD, long-read sequencing should be considered as an alternative and complementary approach.
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Affiliation(s)
- Kensuke Daida
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan
| | - Hiroyo Yoshino
- Research Institute for Diseases of Old Age, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Laksh Malik
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Breeana Baker
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Mayu Ishiguro
- Department of Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan
| | - Rylee Genner
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Kimberly Paquette
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Yuanzhe Li
- Department of Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan
- Department of Diagnosis, Prevention and Treatment of Dementia, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Kenya Nishioka
- Department of Neurology, Juntendo Tokyo Koto Geriatric Medical Center, Koto-ku, Tokyo, Japan
| | | | - Makito Hirano
- Department of Neurology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Kenta Takahashi
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Mikhail Kolmogolv
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kimberley J Billingsley
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Manabu Funayama
- Department of Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan
- Research Institute for Diseases of Old Age, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Cornelis Blauwendraat
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Nobutaka Hattori
- Department of Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan
- Research Institute for Diseases of Old Age, Graduate School of Medicine, Juntendo University, Tokyo, Japan
- Neurodegenerative Disorders Collaborative Laboratory, RIKEN Center for Brain Science, Wako, Saitama, Japan
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Gadgil RY, Rider SD, Shrestha R, Alhawach V, Hitch D, Leffak M. Microsatellite break-induced replication generates highly mutagenized extrachromosomal circular DNAs. NAR Cancer 2024; 6:zcae027. [PMID: 38854437 PMCID: PMC11161834 DOI: 10.1093/narcan/zcae027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 05/17/2024] [Accepted: 05/24/2024] [Indexed: 06/11/2024] Open
Abstract
Extrachromosomal circular DNAs (eccDNAs) are produced from all regions of the eucaryotic genome. We used inverse PCR of non-B microsatellites capable of forming hairpin, triplex, quadruplex and AT-rich structures integrated at a common ectopic chromosomal site to show that these non-B DNAs generate highly mutagenized eccDNAs by replication-dependent mechanisms. Mutagenesis occurs within the non-B DNAs and extends several kilobases bidirectionally into flanking and nonallelic DNA. Each non-B DNA exhibits a different pattern of mutagenesis, while sister clones containing the same non-B DNA also display distinct patterns of recombination, microhomology-mediated template switching and base substitutions. Mutations include mismatches, short duplications, long nontemplated insertions, large deletions and template switches to sister chromatids and nonallelic chromosomes. Drug-induced replication stress or the depletion of DNA repair factors Rad51, the COPS2 signalosome subunit or POLη change the pattern of template switching and alter the eccDNA mutagenic profiles. We propose an asynchronous capture model based on break-induced replication from microsatellite-induced DNA double strand breaks to account for the generation and circularization of mutagenized eccDNAs and the appearance of genomic homologous recombination deficiency (HRD) scars. These results may help to explain the appearance of tumor eccDNAS and their roles in neoantigen production, oncogenesis and resistance to chemotherapy.
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Affiliation(s)
- Rujuta Yashodhan Gadgil
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA
| | - S Dean Rider
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA
| | - Resha Shrestha
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA
| | - Venicia Alhawach
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA
| | - David C Hitch
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA
| | - Michael Leffak
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA
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5
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Konečná K, Zapletalová P, Freiberger T, Tichý L. LDLR gene rearrangements in Czech FH patients likely arise from one mutational event. Lipids Health Dis 2024; 23:36. [PMID: 38308247 PMCID: PMC10835926 DOI: 10.1186/s12944-024-02013-3] [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: 10/03/2023] [Accepted: 01/09/2024] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND Large deletions and duplications within the low-density lipoprotein receptor (LDLR) gene make up approximately 10% of LDLR pathogenic variants found in Czech patients with familial hypercholesterolemia. The goal of this study was to test the hypothesis that all probands with each rearrangement share identical breakpoints inherited from a common ancestor and to determine the role of Alu repetitive elements in the generation of these rearrangements. METHODS The breakpoint sequence was determined by PCR amplification and Sanger sequencing. To confirm the breakpoint position, an NGS analysis was performed. Haplotype analysis of common LDLR variants was performed using PCR and Sanger sequencing. RESULTS The breakpoints of 8 rearrangements within the LDLR gene were analysed, including the four most common LDLR rearrangements in the Czech population (number of probands ranging from 8 to 28), and four less common rearrangements (1-4 probands). Probands with a specific rearrangement shared identical breakpoint positions and haplotypes associated with the rearrangement, suggesting a shared origin from a common ancestor. All breakpoints except for one were located inside an Alu element. In 6 out of 8 breakpoints, there was high homology (≥ 70%) between the two Alu repeats in which the break occurred. CONCLUSIONS The most common rearrangements of the LDLR gene in the Czech population likely arose from one mutational event. Alu elements likely played a role in the generation of the majority of rearrangements inside the LDLR gene.
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Affiliation(s)
- Kateřina Konečná
- Centre of Molecular Biology and Genetics, University Hospital Brno, Jihlavská 20, Brno, 625 00, Czech Republic
- National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- Faculty of Medicine, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Petra Zapletalová
- Centre of Molecular Biology and Genetics, University Hospital Brno, Jihlavská 20, Brno, 625 00, Czech Republic
| | - Tomáš Freiberger
- Faculty of Medicine, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
- Centre for Cardiovascular Surgery and Transplantation, Pekařská 53, 656 91, Brno, Czech Republic
| | - Lukáš Tichý
- Centre of Molecular Biology and Genetics, University Hospital Brno, Jihlavská 20, Brno, 625 00, Czech Republic.
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6
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Gadgil RY, Rider SD, Shrestha R, Alhawach V, Hitch DC, Leffak M. Microsatellite break-induced replication generates highly mutagenized extrachromosomal circular DNAs. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.12.575055. [PMID: 38260482 PMCID: PMC10802558 DOI: 10.1101/2024.01.12.575055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Extrachromosomal circular DNAs (eccDNAs) are produced from all regions of the eucaryotic genome. In tumors, highly transcribed eccDNAs have been implicated in oncogenesis, neoantigen production and resistance to chemotherapy. Here we show that unstable microsatellites capable of forming hairpin, triplex, quadruplex and AT-rich structures generate eccDNAs when integrated at a common ectopic site in human cells. These non-B DNA prone microsatellites form eccDNAs by replication-dependent mechanisms. The microsatellite-based eccDNAs are highly mutagenized and display template switches to sister chromatids and to nonallelic chromosomal sites. High frequency mutagenesis occurs within the eccDNA microsatellites and extends bidirectionally for several kilobases into flanking DNA and nonallelic DNA. Mutations include mismatches, short duplications, longer nontemplated insertions and large deletions. Template switching leads to recurrent deletions and recombination domains within the eccDNAs. Template switching events are microhomology-mediated, but do not occur at all potential sites of complementarity. Each microsatellite exhibits a distinct pattern of recombination, microhomology choice and base substitution signature. Depletion of Rad51, the COPS2 signalosome subunit or POLη alter the eccDNA mutagenic profiles. We propose an asynchronous capture model based on break-induced replication from microsatellite-induced DNA breaks for the generation and circularization of mutagenized eccDNAs and genomic homologous recombination deficiency (HRD) scars.
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7
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Brooks WH. Polyamine Dysregulation and Nucleolar Disruption in Alzheimer's Disease. J Alzheimers Dis 2024; 98:837-857. [PMID: 38489184 DOI: 10.3233/jad-231184] [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] [Indexed: 03/17/2024]
Abstract
A hypothesis of Alzheimer's disease etiology is proposed describing how cellular stress induces excessive polyamine synthesis and recycling which can disrupt nucleoli. Polyamines are essential in nucleolar functions, such as RNA folding and ribonucleoprotein assembly. Changes in the nucleolar pool of anionic RNA and cationic polyamines acting as counterions can cause significant nucleolar dynamics. Polyamine synthesis reduces S-adenosylmethionine which, at low levels, triggers tau phosphorylation. Also, polyamine recycling reduces acetyl-CoA needed for acetylcholine, which is low in Alzheimer's disease. Extraordinary nucleolar expansion and/or contraction can disrupt epigenetic control in peri-nucleolar chromatin, such as chromosome 14 with the presenilin-1 gene; chromosome 21 with the amyloid precursor protein gene; chromosome 17 with the tau gene; chromosome 19 with the APOE4 gene; and the inactive X chromosome (Xi; aka "nucleolar satellite") with normally silent spermine synthase (polyamine synthesis) and spermidine/spermine-N1-acetyltransferase (polyamine recycling) alleles. Chromosomes 17, 19 and the Xi have high concentrations of Alu elements which can be transcribed by RNA polymerase III if positioned nucleosomes are displaced from the Alu elements. A sudden flood of Alu RNA transcripts can competitively bind nucleolin which is usually bound to Alu sequences in structural RNAs that stabilize the nucleolar heterochromatic shell. This Alu competition leads to loss of nucleolar integrity with leaking of nucleolar polyamines that cause aggregation of phosphorylated tau. The hypothesis was developed with key word searches (e.g., PubMed) using relevant terms (e.g., Alzheimer's, lupus, nucleolin) based on a systems biology approach and exploring autoimmune disease tautology, gaining synergistic insights from other diseases.
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8
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Mendez-Dorantes C, Burns KH. LINE-1 retrotransposition and its deregulation in cancers: implications for therapeutic opportunities. Genes Dev 2023; 37:948-967. [PMID: 38092519 PMCID: PMC10760644 DOI: 10.1101/gad.351051.123] [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] [Indexed: 12/28/2023]
Abstract
Long interspersed element 1 (LINE-1) is the only protein-coding transposon that is active in humans. LINE-1 propagates in the genome using RNA intermediates via retrotransposition. This activity has resulted in LINE-1 sequences occupying approximately one-fifth of our genome. Although most copies of LINE-1 are immobile, ∼100 copies are retrotransposition-competent. Retrotransposition is normally limited via epigenetic silencing, DNA repair, and other host defense mechanisms. In contrast, LINE-1 overexpression and retrotransposition are hallmarks of cancers. Here, we review mechanisms of LINE-1 regulation and how LINE-1 may promote genetic heterogeneity in tumors. Finally, we discuss therapeutic strategies to exploit LINE-1 biology in cancers.
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Affiliation(s)
- Carlos Mendez-Dorantes
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA;
- Department of Pathology, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Kathleen H Burns
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA;
- Department of Pathology, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
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9
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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 .
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10
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Wang L, Dong B, Xie Y, Kang H, Wu Y. The molecular mechanisms of recombinant chromosome 18 with parental pericentric inversions and a review of the literature. J Hum Genet 2023; 68:625-634. [PMID: 37161033 DOI: 10.1038/s10038-023-01157-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 04/07/2023] [Accepted: 04/26/2023] [Indexed: 05/11/2023]
Abstract
Chromosomal rearrangements mostly result from non-allelic homologous recombination mediated by low-copy repeats (LCRs) or segmental duplications (SDs). Recent studies on recombinant chromosome 18 (rec (18)) have focused on diagnoses and clinical phenotypes. We diagnosed two cases of prenatal rec (18) and identified precise breakpoint intervals using karyotype and chromosomal microarray analyses. We analyzed the distribution characteristics of breakpoint repetitive elements to infer rearrangement mechanisms and reviewed relevant literature to identify genetic trends. Among the 12 families with 25 pregnancies analyzed, 68% rec (18), 24% spontaneous abortions, and 8% normal births were reported. In the 17 rec (18) cases, 65% presented maternal origin and 35% were paternal. Short-arm breakpoints at p11.31 were reported in 10 cases, whereas the long-arm breakpoints were located at q21.3 (6 cases) and q12 (4 cases). Breakpoints of pericentric inversions on chromosome 18 are concentrated in p11.31, q21.3, and q12 regions. Rearrangements at 18p11.31 are non-recurrent events. ALUs, LINE1s, and MIRs were enriched at the breakpoint regions (1.85 to 3.42-fold enrichment over the entire chromosome 18), while SDs and LCRs were absent. ALU subfamilies had sequence identities of 85.94% and 83.01% between two pair breakpoints. Small repetitive elements may mediate recombination-coupled DNA repair processes, facilitating rearrangements on chromosome 18. Maternal inversion carriers are more prone to abnormal recombination in prenatal families with rec (18). Recombinant chromosomes may present preferential segregation during gamete formation.
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Affiliation(s)
- Lingxi Wang
- Prenatal Diagnosis Center, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
| | - Bing Dong
- Department of Eugenics, Meishan Women and Children's Hospital, Alliance Hospital of West China Second University Hospital, Sichuan University, Meishan, 620000, China
| | - Yamei Xie
- Prenatal Diagnosis Center, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Han Kang
- Prenatal Diagnosis Center, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Yong Wu
- Prenatal Diagnosis Center, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
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11
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Khan S, Focșa IO, Budișteanu M, Stoica C, Nedelea F, Bohîlțea L, Caba L, Butnariu L, Pânzaru M, Rusu C, Jurcă C, Chirita-Emandi A, Bănescu C, Abbas W, Sadeghpour A, Baig SM, Bălgrădean M, Davis EE. Exome sequencing in a Romanian Bardet-Biedl syndrome cohort revealed an overabundance of causal BBS12 variants. Am J Med Genet A 2023; 191:2376-2391. [PMID: 37293956 PMCID: PMC10524726 DOI: 10.1002/ajmg.a.63322] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/16/2023] [Accepted: 05/26/2023] [Indexed: 06/10/2023]
Abstract
Bardet-Biedl syndrome (BBS), is an emblematic ciliopathy hallmarked by pleiotropy, phenotype variability, and extensive genetic heterogeneity. BBS is a rare (~1/140,000 to ~1/160,000 in Europe) autosomal recessive pediatric disorder characterized by retinal degeneration, truncal obesity, polydactyly, cognitive impairment, renal dysfunction, and hypogonadism. Twenty-eight genes involved in ciliary structure or function have been implicated in BBS, and explain the molecular basis for ~75%-80% of individuals. To investigate the mutational spectrum of BBS in Romania, we ascertained a cohort of 24 individuals in 23 families. Following informed consent, we performed proband exome sequencing (ES). We detected 17 different putative disease-causing single nucleotide variants or small insertion-deletions and two pathogenic exon disruptive copy number variants in known BBS genes in 17 pedigrees. The most frequently impacted genes were BBS12 (35%), followed by BBS4, BBS7, and BBS10 (9% each) and BBS1, BBS2, and BBS5 (4% each). Homozygous BBS12 p.Arg355* variants were present in seven pedigrees of both Eastern European and Romani origin. Our data show that although the diagnostic rate of BBS in Romania is likely consistent with other worldwide cohorts (74%), we observed a unique distribution of causal BBS genes, including overrepresentation of BBS12 due to a recurrent nonsense variant, that has implications for regional diagnostics.
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Affiliation(s)
- Sheraz Khan
- Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Human Molecular Genetics Lab, Health Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE-C), Faisalabad, Pakistan
- Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan
| | - Ina Ofelia Focșa
- University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
- Cytogenomic Medical Laboratory, Bucharest, Romania
| | - Magdalena Budișteanu
- Psychiatry Research Laboratory, "Prof. Dr. Alexandru Obregia" Clinical Hospital of Psychiatry, Bucharest, Romania
- Medical Genetic Laboratory, "Victor Babeș" National Institute of Pathology, Bucharest, Romania
- Department of Medical Genetics, Faculty of Medicine, "Titu Maiorescu" University, Bucharest, Romania
| | - Cristina Stoica
- University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
- Department of Pediatrics, Clinical Institute Fundeni, Bucharest, Romania
| | - Florina Nedelea
- University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
- Genetics Department, Clinical Hospital Filantropia, Bucharest, Romania
| | | | - Lavinia Caba
- Department of Medical Genetics, "Grigore T. Popa" University of Medicine and Pharmacy, Iași, Romania
| | - Lăcrămioara Butnariu
- Department of Medical Genetics, "Grigore T. Popa" University of Medicine and Pharmacy, Iași, Romania
- Regional Medical Genetics Centre, "Sf. Maria" Children's Hospital, Iași, Romania
| | - Monica Pânzaru
- Department of Medical Genetics, "Grigore T. Popa" University of Medicine and Pharmacy, Iași, Romania
- Regional Medical Genetics Centre, "Sf. Maria" Children's Hospital, Iași, Romania
| | - Cristina Rusu
- Department of Medical Genetics, "Grigore T. Popa" University of Medicine and Pharmacy, Iași, Romania
- Regional Medical Genetics Centre, "Sf. Maria" Children's Hospital, Iași, Romania
| | - Claudia Jurcă
- Department of Genetics, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania
- Department of Pediatrics, "Dr. Gavril Curteanu" Municipal Clinical Hospital, Oradea, Romania
| | - Adela Chirita-Emandi
- Emergency Hospital for Children Louis Turcanu, Regional Center of Medical Genetics Timis, Timisoara, Romania
- Victor Babes University of Medicine and Pharmacy Timisoara, Department of Microscopic Morphology Genetics, Center for Genomic Medicine, Timisoara, Romania
| | - Claudia Bănescu
- "George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology, Târgu Mureş, Romania
| | - Wasim Abbas
- Human Molecular Genetics Lab, Health Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE-C), Faisalabad, Pakistan
- Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan
| | - Azita Sadeghpour
- Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, USA
- Duke Precision Medicine Program, Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, NC, USA
| | - Shahid Mahmood Baig
- Pakistan Science Foundation (PSF), Islamabad, Pakistan
- Department of Biological and Biomedical Sciences, Agha Khan University Karachi, Karachi, Pakistan
| | - Mihaela Bălgrădean
- University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
- Department of Pediatrics and Pediatric Nephrology, Emergency Clinical Hospital for Children "Maria Skłodowska Curie", Bucharest, Romania
| | - Erica E Davis
- Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Department of Pediatrics and Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
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12
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Erenpreisa J, Vainshelbaum NM, Lazovska M, Karklins R, Salmina K, Zayakin P, Rumnieks F, Inashkina I, Pjanova D, Erenpreiss J. The Price of Human Evolution: Cancer-Testis Antigens, the Decline in Male Fertility and the Increase in Cancer. Int J Mol Sci 2023; 24:11660. [PMID: 37511419 PMCID: PMC10380301 DOI: 10.3390/ijms241411660] [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: 06/08/2023] [Revised: 07/15/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
The increasing frequency of general and particularly male cancer coupled with the reduction in male fertility seen worldwide motivated us to seek a potential evolutionary link between these two phenomena, concerning the reproductive transcriptional modules observed in cancer and the expression of cancer-testis antigens (CTA). The phylostratigraphy analysis of the human genome allowed us to link the early evolutionary origin of cancer via the reproductive life cycles of the unicellulars and early multicellulars, potentially driving soma-germ transition, female meiosis, and the parthenogenesis of polyploid giant cancer cells (PGCCs), with the expansion of the CTA multi-families, very late during their evolution. CTA adaptation was aided by retrovirus domestication in the unstable genomes of mammals, for protecting male fertility in stress conditions, particularly that of humans, as compensation for the energy consumption of a large complex brain which also exploited retrotransposition. We found that the early and late evolutionary branches of human cancer are united by the immunity-proto-placental network, which evolved in the Cambrian and shares stress regulators with the finely-tuned sex determination system. We further propose that social stress and endocrine disruption caused by environmental pollution with organic materials, which alter sex determination in male foetuses and further spermatogenesis in adults, bias the development of PGCC-parthenogenetic cancer by default.
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Affiliation(s)
| | | | - Marija Lazovska
- Molecular Genetics Scientific Laboratory, Riga Stradins University, Dzirciema 16, LV-1007 Riga, Latvia
| | - Roberts Karklins
- Molecular Genetics Scientific Laboratory, Riga Stradins University, Dzirciema 16, LV-1007 Riga, Latvia
| | - Kristine Salmina
- Latvian Biomedical Research and Study Centre, Ratsupites 1-1k, LV-1067 Riga, Latvia
| | - Pawel Zayakin
- Latvian Biomedical Research and Study Centre, Ratsupites 1-1k, LV-1067 Riga, Latvia
| | - Felikss Rumnieks
- Latvian Biomedical Research and Study Centre, Ratsupites 1-1k, LV-1067 Riga, Latvia
| | - Inna Inashkina
- Latvian Biomedical Research and Study Centre, Ratsupites 1-1k, LV-1067 Riga, Latvia
| | - Dace Pjanova
- Latvian Biomedical Research and Study Centre, Ratsupites 1-1k, LV-1067 Riga, Latvia
- Molecular Genetics Scientific Laboratory, Riga Stradins University, Dzirciema 16, LV-1007 Riga, Latvia
| | - Juris Erenpreiss
- Molecular Genetics Scientific Laboratory, Riga Stradins University, Dzirciema 16, LV-1007 Riga, Latvia
- Clinic iVF-Riga, Zala 1, LV-1010 Riga, Latvia
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13
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Chen Z, Chen J, Gao M, Liu Y, Wu Y, Wang Y, Gong Y, Yu S, Liu W, Wan X, Sun X. Comprehensive analysis of the PRPF31 gene in retinitis pigmentosa patients: Four novel Alu-mediated copy number variations at the PRPF31 locus. Hum Mutat 2022; 43:2279-2294. [PMID: 36317469 DOI: 10.1002/humu.24494] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 10/10/2022] [Accepted: 10/24/2022] [Indexed: 11/11/2022]
Abstract
Retinitis pigmentosa (RP) is a monogenic disease characterized by irreversible degeneration of the retina. PRPF31, the second most common causative gene of autosomal dominant RP, frequently harbors copy number variations (CNVs), but the underlying mechanism is unclear. In this study, we summarized the phenotypic and genotypic characteristics of 18 RP families (F01-F18) with variants in PRPF31. The prevalence of PRPF31 variants in our cohort of Chinese RP families was 1.7% (18/1024). Seventeen different variants in PRPF31 were detected, including eight novel variants. Notably, four novel CNVs encompassing PRPF31, with a proportion of 22.2% (4/18), were validated to harbor gross deletions involving Alu/Alu-mediated rearrangements (AAMRs) in the same orientation. Among a total of 12 CNVs of PRPF31 with breakpoints mapped on nucleotide-resolution, 10 variants (83.3%) were presumably mediated by Alu elements. Furthermore, we described the correlation between the genotypes and phenotypes in PRPF31-related RP. Our findings expand the mutational spectrum of the PRPF31 gene and provide strong evidence that Alu elements of PRPF31 probably contribute to the susceptibility to genomic rearrangement in this locus.
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Affiliation(s)
- Zhixuan Chen
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Jieqiong Chen
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Min Gao
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Yang Liu
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Yidong Wu
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Yafang Wang
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Yuanyuan Gong
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Suqin Yu
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Wenjia Liu
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Xiaoling Wan
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Xiaodong Sun
- Department of Ophthalmology, School of Medicine, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, Shanghai, China.,Department of Ophthalmology, National Clinical Research Center for Eye Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Key Laboratory of Fundus Diseases, Shanghai, China.,Department of Ophthalmology, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
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14
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Rad52's DNA annealing activity drives template switching associated with restarted DNA replication. Nat Commun 2022; 13:7293. [PMID: 36435847 PMCID: PMC9701231 DOI: 10.1038/s41467-022-35060-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 11/17/2022] [Indexed: 11/28/2022] Open
Abstract
It is thought that many of the simple and complex genomic rearrangements associated with congenital diseases and cancers stem from mistakes made during the restart of collapsed replication forks by recombination enzymes. It is hypothesised that this recombination-mediated restart process transitions from a relatively accurate initiation phase to a less accurate elongation phase characterised by extensive template switching between homologous, homeologous and microhomologous DNA sequences. Using an experimental system in fission yeast, where fork collapse is triggered by a site-specific replication barrier, we show that ectopic recombination, associated with the initiation of recombination-dependent replication (RDR), is driven mainly by the Rad51 recombinase, whereas template switching, during the elongation phase of RDR, relies more on DNA annealing by Rad52. This finding provides both evidence and a mechanistic basis for the transition hypothesis.
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15
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Balachandran P, Walawalkar IA, Flores JI, Dayton JN, Audano PA, Beck CR. Transposable element-mediated rearrangements are prevalent in human genomes. Nat Commun 2022; 13:7115. [PMID: 36402840 PMCID: PMC9675761 DOI: 10.1038/s41467-022-34810-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 11/08/2022] [Indexed: 11/21/2022] Open
Abstract
Transposable elements constitute about half of human genomes, and their role in generating human variation through retrotransposition is broadly studied and appreciated. Structural variants mediated by transposons, which we call transposable element-mediated rearrangements (TEMRs), are less well studied, and the mechanisms leading to their formation as well as their broader impact on human diversity are poorly understood. Here, we identify 493 unique TEMRs across the genomes of three individuals. While homology directed repair is the dominant driver of TEMRs, our sequence-resolved TEMR resource allows us to identify complex inversion breakpoints, triplications or other high copy number polymorphisms, and additional complexities. TEMRs are enriched in genic loci and can create potentially important risk alleles such as a deletion in TRIM65, a known cancer biomarker and therapeutic target. These findings expand our understanding of this important class of structural variation, the mechanisms responsible for their formation, and establish them as an important driver of human diversity.
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Affiliation(s)
| | | | - Jacob I Flores
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Jacob N Dayton
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Peter A Audano
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Christine R Beck
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
- Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, USA.
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA.
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16
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Wang J, Weatheritt R, Voineagu I. Alu-minating the Mechanisms Underlying Primate Cortex Evolution. Biol Psychiatry 2022; 92:760-771. [PMID: 35981906 DOI: 10.1016/j.biopsych.2022.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 04/04/2022] [Accepted: 04/28/2022] [Indexed: 11/02/2022]
Abstract
The higher-order cognitive functions observed in primates correlate with the evolutionary enhancement of cortical volume and folding, which in turn are driven by the primate-specific expansion of cellular diversity in the developing cortex. Underlying these changes is the diversification of molecular features including the creation of human and/or primate-specific genes, the activation of specific molecular pathways, and the interplay of diverse layers of gene regulation. We review and discuss evidence for connections between Alu elements and primate brain evolution, the evolutionary milestones of which are known to coincide along primate lineages. Alus are repetitive elements that contribute extensively to the acquisition of novel genes and the expansion of diverse gene regulatory layers, including enhancers, alternative splicing, RNA editing, and microRNA pathways. By reviewing the impact of Alus on molecular features linked to cortical expansions or gyrification or implications in cognitive deficits, we suggest that future research focusing on the role of Alu-derived molecular events in the context of brain development may greatly advance our understanding of higher-order cognitive functions and neurologic disorders.
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Affiliation(s)
- Juli Wang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
| | - Robert Weatheritt
- St Vincent Clinical School, University of New South Wales, Sydney, Australia; Garvan Institute of Medical Research, EMBL Australia, Sydney, New South Wales, Australia
| | - Irina Voineagu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia; Cellular Genomics Futures Institute, University of New South Wales, Sydney, Australia.
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17
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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: 19] [Impact Index Per Article: 9.5] [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.
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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.
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18
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Duan R, Hijazi H, Gulec EY, Eker HK, Costa SR, Sahin Y, Ocak Z, Isikay S, Ozalp O, Bozdogan S, Aslan H, Elcioglu N, Bertola DR, Gezdirici A, Du H, Fatih JM, Grochowski CM, Akay G, Jhangiani SN, Karaca E, Gu S, Coban-Akdemir Z, Posey JE, Bayram Y, Sutton VR, Carvalho CM, Pehlivan D, Gibbs RA, Lupski JR. Developmental genomics of limb malformations: Allelic series in association with gene dosage effects contribute to the clinical variability. HGG ADVANCES 2022; 3:100132. [PMID: 36035248 PMCID: PMC9403727 DOI: 10.1016/j.xhgg.2022.100132] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 07/19/2022] [Indexed: 11/26/2022] Open
Abstract
Genetic heterogeneity, reduced penetrance, and variable expressivity, the latter including asymmetric body axis plane presentations, have all been described in families with congenital limb malformations (CLMs). Interfamilial and intrafamilial heterogeneity highlight the complexity of the underlying genetic pathogenesis of these developmental anomalies. Family-based genomics by exome sequencing (ES) and rare variant analyses combined with whole-genome array-based comparative genomic hybridization were implemented to investigate 18 families with limb birth defects. Eleven of 18 (61%) families revealed explanatory variants, including 7 single-nucleotide variant alleles and 3 copy number variants (CNVs), at previously reported "disease trait associated loci": BHLHA9, GLI3, HOXD cluster, HOXD13, NPR2, and WNT10B. Breakpoint junction analyses for all three CNV alleles revealed mutational signatures consistent with microhomology-mediated break-induced replication, a mechanism facilitated by Alu/Alu-mediated rearrangement. Homozygous duplication of BHLHA9 was observed in one Turkish kindred and represents a novel contributory genetic mechanism to Gollop-Wolfgang Complex (MIM: 228250), where triplication of the locus has been reported in one family from Japan (i.e., 4n = 2n + 2n versus 4n = 3n + 1n allelic configurations). Genes acting on limb patterning are sensitive to a gene dosage effect and are often associated with an allelic series. We extend an allele-specific gene dosage model to potentially assist, in an adjuvant way, interpretations of interconnections among an allelic series, clinical severity, and reduced penetrance of the BHLHA9-related CLM spectrum.
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Affiliation(s)
- Ruizhi Duan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Hadia Hijazi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Elif Yilmaz Gulec
- Department of Medical Genetics, School of Medicine, Istanbul Medeniyet University, Istanbul, Turkey
| | | | - Silvia R. Costa
- Human Genome and Stem Cell Research Center, Institute of Bioscience, Universidade de São Paulo, São Paulo, Brazil
| | - Yavuz Sahin
- Medical Genetics, Genoks Genetics Center, Ankara, Turkey
| | - Zeynep Ocak
- Department of Medical Genetics, Faculty of Medicine, Istinye University, Istanbul, Turkey
| | - Sedat Isikay
- Department of Pediatric Neurology, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey
| | - Ozge Ozalp
- Department of Medical Genetics, Adana City Training and Research Hospital, Adana, Turkey
| | - Sevcan Bozdogan
- Department of Medical Genetics, Faculty of Medicine, Cukurova University, Adana, Turkey
| | - Huseyin Aslan
- Department of Medical Genetics, Adana City Training and Research Hospital, Adana, Turkey
| | - Nursel Elcioglu
- Department of Pediatric Genetics, School of Medicine, Marmara University, Istanbul, Turkey
- Eastern Mediterranean University Medical School, Magosa, 10 Mersin, Turkey
| | - Débora R. Bertola
- Human Genome and Stem Cell Research Center, Institute of Bioscience, Universidade de São Paulo, São Paulo, Brazil
- Genetics Unit, Instituto da Criança do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Alper Gezdirici
- Department of Medical Genetics, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Haowei Du
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jawid M. Fatih
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | - Gulsen Akay
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Baylor-Hopkins Center for Mendelian Genomics
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Department of Medical Genetics, School of Medicine, Istanbul Medeniyet University, Istanbul, Turkey
- Department of Medical Genetics, Konya City Hospital, Konya, Turkey
- Human Genome and Stem Cell Research Center, Institute of Bioscience, Universidade de São Paulo, São Paulo, Brazil
- Medical Genetics, Genoks Genetics Center, Ankara, Turkey
- Department of Medical Genetics, Faculty of Medicine, Istinye University, Istanbul, Turkey
- Department of Pediatric Neurology, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey
- Department of Medical Genetics, Adana City Training and Research Hospital, Adana, Turkey
- Department of Medical Genetics, Faculty of Medicine, Cukurova University, Adana, Turkey
- Department of Pediatric Genetics, School of Medicine, Marmara University, Istanbul, Turkey
- Eastern Mediterranean University Medical School, Magosa, 10 Mersin, Turkey
- Genetics Unit, Instituto da Criança do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
- Department of Medical Genetics, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Texas Children’s Hospital, Houston, TX, USA
- Section of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | | | - Ender Karaca
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Shen Gu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Zeynep Coban-Akdemir
- 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
| | - Yavuz Bayram
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - V. Reid Sutton
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Texas Children’s Hospital, Houston, TX, USA
| | - Claudia M.B. Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Davut Pehlivan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Texas Children’s Hospital, Houston, TX, USA
- Section of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA
| | - Richard A. Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - James R. Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Texas Children’s Hospital, Houston, TX, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
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19
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Jourdy Y, Chatron N, Fretigny M, Dericquebourg A, Sanlaville D, Vinciguerra C. Comprehensive analysis of F8 large deletions: Characterization of full breakpoint junctions and description of a possible DNA breakage hotspot in intron 6. J Thromb Haemost 2022; 20:2293-2305. [PMID: 35894111 DOI: 10.1111/jth.15835] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Large F8 deletions represent 3-5% of the variations found in severe hemophilia A patients, but only a few deletion breakpoints have been characterized precisely. OBJECTIVES Resolving at the nucleotide level 24 F8 large deletions to provide new data on the mechanisms involved in these rearrangements. METHODS Breakpoint junctions of 24 F8 large deletions were characterized using a combination of long-range polymerase chain reaction, whole F8 NGS sequencing, and Sanger sequencing. Repeat elements, non-B DNA, and secondary structures were analyzed around the breakpoints. RESULTS Deletions ranged from 1.667 kb to 0.5 Mb in size. Nine involved F8 neighboring genes. Simple blunt ends and 2-4 bp microhomologies were identified at the breakpoint junctions of 10 (42%) and 8 (33%) deletions, respectively. Five (21%) deletions resulted from homeologous recombination between two Alu elements. The remaining case corresponded to a more complex rearrangement with an insertion of a 19 bp-inverted sequence at the junction. Four different breakpoints were located in a 562-bp region in F8 intron 6. This finding suggested that this region, composed of two Alu elements, is a DNA breakage hotspot. Non-B DNA and secondary structures were identified in the junction regions and may contribute to DNA breakage. CONCLUSION Molecular characterization of deletion breakpoints revealed that non-homologous non-replicative DNA repair mechanisms and replication-based mechanisms seemed to be the main causative mechanisms of F8 large deletions. Moreover, we identified a possible F8 DNA breakage hotspot involved in non-recurrent rearrangements.
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Affiliation(s)
- Yohann Jourdy
- Hospices Civils de Lyon, Groupe Hospitalier Est, Service d'hématologie biologique, Bron, France
- Université Claude Bernard Lyon 1, UR 4609, Hémostase et thrombose, Lyon, France
| | - Nicolas Chatron
- Hospices Civils de Lyon, Groupe Hospitalier Est, Service de génétique, Bron, France
- Univ Lyon, Univ Lyon 1, CNRS, INSERM, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, Lyon, France
| | - Mathilde Fretigny
- Hospices Civils de Lyon, Groupe Hospitalier Est, Service d'hématologie biologique, Bron, France
| | - Amy Dericquebourg
- Hospices Civils de Lyon, Groupe Hospitalier Est, Service d'hématologie biologique, Bron, France
- Université Claude Bernard Lyon 1, UR 4609, Hémostase et thrombose, Lyon, France
| | - Damien Sanlaville
- Hospices Civils de Lyon, Groupe Hospitalier Est, Service de génétique, Bron, France
- Univ Lyon, Univ Lyon 1, CNRS, INSERM, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, Lyon, France
| | - Christine Vinciguerra
- Hospices Civils de Lyon, Groupe Hospitalier Est, Service d'hématologie biologique, Bron, France
- Université Claude Bernard Lyon 1, UR 4609, Hémostase et thrombose, Lyon, France
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20
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Idelfonso-García OG, Alarcón-Sánchez BR, Vásquez-Garzón VR, Baltiérrez-Hoyos R, Villa-Treviño S, Muriel P, Serrano H, Pérez-Carreón JI, Arellanes-Robledo J. Is Nucleoredoxin a Master Regulator of Cellular Redox Homeostasis? Its Implication in Different Pathologies. Antioxidants (Basel) 2022; 11:antiox11040670. [PMID: 35453355 PMCID: PMC9030443 DOI: 10.3390/antiox11040670] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/26/2022] [Accepted: 03/28/2022] [Indexed: 01/27/2023] Open
Abstract
Nucleoredoxin (NXN), an oxidoreductase enzyme, contributes to cellular redox homeostasis by regulating different signaling pathways in a redox-dependent manner. By interacting with seven proteins so far, namely disheveled (DVL), protein phosphatase 2A (PP2A), phosphofructokinase-1 (PFK1), translocation protein SEC63 homolog (SEC63), myeloid differentiation primary response gene-88 (MYD88), flightless-I (FLII), and calcium/calmodulin-dependent protein kinase II type alpha (CAMK2A), NXN is involved in the regulation of several key cellular processes, including proliferation, organogenesis, cell cycle progression, glycolysis, innate immunity and inflammation, motility, contraction, protein transport into the endoplasmic reticulum, neuronal plasticity, among others; as a result, NXN has been implicated in different pathologies, such as cancer, alcoholic and polycystic liver disease, liver fibrogenesis, obesity, Robinow syndrome, diabetes mellitus, Alzheimer’s disease, and retinitis pigmentosa. Together, this evidence places NXN as a strong candidate to be a master redox regulator of cell physiology and as the hub of different redox-sensitive signaling pathways and associated pathologies. This review summarizes and discusses the current insights on NXN-dependent redox regulation and its implication in different pathologies.
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Affiliation(s)
- Osiris Germán Idelfonso-García
- Laboratory of Liver Diseases, National Institute of Genomic Medicine–INMEGEN, Mexico City 14610, Mexico; (O.G.I.-G.); (B.R.A.-S.); (J.I.P.-C.)
- Department of Health Sciences, Metropolitan Autonomous University-Iztapalapa Campus, Mexico City 09340, Mexico;
| | - Brisa Rodope Alarcón-Sánchez
- Laboratory of Liver Diseases, National Institute of Genomic Medicine–INMEGEN, Mexico City 14610, Mexico; (O.G.I.-G.); (B.R.A.-S.); (J.I.P.-C.)
- Department of Cell Biology, Center for Research and Advanced Studies of the National Polytechnic Institute–CINVESTAV-IPN, Mexico City 07360, Mexico;
| | - Verónica Rocío Vásquez-Garzón
- Laboratory of Fibrosis and Cancer, Faculty of Medicine and Surgery, ‘Benito Juárez’ Autonomous University of Oaxaca–UABJO, Oaxaca 68020, Mexico; (V.R.V.-G.); (R.B.-H.)
- Directorate of Cátedras, National Council of Science and Technology–CONACYT, Mexico City 03940, Mexico
| | - Rafael Baltiérrez-Hoyos
- Laboratory of Fibrosis and Cancer, Faculty of Medicine and Surgery, ‘Benito Juárez’ Autonomous University of Oaxaca–UABJO, Oaxaca 68020, Mexico; (V.R.V.-G.); (R.B.-H.)
- Directorate of Cátedras, National Council of Science and Technology–CONACYT, Mexico City 03940, Mexico
| | - Saúl Villa-Treviño
- Department of Cell Biology, Center for Research and Advanced Studies of the National Polytechnic Institute–CINVESTAV-IPN, Mexico City 07360, Mexico;
| | - Pablo Muriel
- Laboratory of Experimental Hepatology, Department of Pharmacology, Center for Research and Advanced Studies of the National Polytechnic Institute–CINVESTAV-IPN, Mexico City 07360, Mexico;
| | - Héctor Serrano
- Department of Health Sciences, Metropolitan Autonomous University-Iztapalapa Campus, Mexico City 09340, Mexico;
| | - Julio Isael Pérez-Carreón
- Laboratory of Liver Diseases, National Institute of Genomic Medicine–INMEGEN, Mexico City 14610, Mexico; (O.G.I.-G.); (B.R.A.-S.); (J.I.P.-C.)
| | - Jaime Arellanes-Robledo
- Laboratory of Liver Diseases, National Institute of Genomic Medicine–INMEGEN, Mexico City 14610, Mexico; (O.G.I.-G.); (B.R.A.-S.); (J.I.P.-C.)
- Directorate of Cátedras, National Council of Science and Technology–CONACYT, Mexico City 03940, Mexico
- Correspondence: ; Tel.: +52-55-5350-1900 (ext. 1218)
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21
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Lupski JR. Clan genomics: From OMIM phenotypic traits to genes and biology. Am J Med Genet A 2021; 185:3294-3313. [PMID: 34405553 PMCID: PMC8530976 DOI: 10.1002/ajmg.a.62434] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 06/29/2021] [Accepted: 07/04/2021] [Indexed: 12/20/2022]
Abstract
Clinical characterization of a patient phenotype has been the quintessential approach for elucidating a differential diagnosis and a hypothesis to explore a potential clinical diagnosis. This has resulted in a language of medicine and a semantic ontology, with both specialty- and subspecialty-specific lexicons, that can be challenging to translate and interpret. There is no 'Rosetta Stone' of clinical medicine such as the genetic code that can assist translation and interpretation of the language of genetics. Nevertheless, the information content embodied within a clinical diagnosis can guide management, therapeutic intervention, and potentially prognostic outlook of disease enabling anticipatory guidance for patients and families. Clinical genomics is now established firmly in medical practice. The granularity and informative content of a personal genome is immense. Yet, we are limited in our utility of much of that personal genome information by the lack of functional characterization of the overwhelming majority of computationally annotated genes in the haploid human reference genome sequence. Whereas DNA and the genetic code have provided a 'Rosetta Stone' to translate genetic variant information, clinical medicine, and clinical genomics provide the context to understand human biology and disease. A path forward will integrate deep phenotyping, such as available in a clinical synopsis in the Online Mendelian Inheritance in Man (OMIM) entries, with personal genome analyses.
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Affiliation(s)
- James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Hospital, Houston, Texas, USA
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22
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Long-read technologies identify a hidden inverted duplication in a family with choroideremia. HGG ADVANCES 2021; 2:100046. [PMID: 35047838 PMCID: PMC8756506 DOI: 10.1016/j.xhgg.2021.100046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 07/01/2021] [Indexed: 12/03/2022] Open
Abstract
The lack of molecular diagnoses in rare genetic diseases can be explained by limitations of current standard genomic technologies. Upcoming long-read techniques have complementary strengths to overcome these limitations, with a particular strength in identifying structural variants. By using optical genome mapping and long-read sequencing, we aimed to identify the pathogenic variant in a large family with X-linked choroideremia. In this family, aberrant splicing of exon 12 of the choroideremia gene CHM was detected in 2003, but the underlying genomic defect remained elusive. Optical genome mapping and long-read sequencing approaches now revealed an intragenic 1,752 bp inverted duplication including exon 12 and surrounding regions, located downstream of the wild-type copy of exon 12. Both breakpoint junctions were confirmed with Sanger sequencing and segregate with the X-linked inheritance in the family. The breakpoint junctions displayed sequence microhomology suggestive for an erroneous replication mechanism as the origin of the structural variant. The inverted duplication is predicted to result in a hairpin formation of the pre-mRNA with the wild-type exon 12, leading to exon skipping in the mature mRNA. The identified inverted duplication is deemed the hidden pathogenic cause of disease in this family. Our study shows that optical genome mapping and long-read sequencing have significant potential for the identification of (hidden) structural variants in rare genetic diseases.
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23
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Mitani T, Isikay S, Gezdirici A, Gulec EY, Punetha J, Fatih JM, Herman I, Akay G, Du H, Calame DG, Ayaz A, Tos T, Yesil G, Aydin H, Geckinli B, Elcioglu N, Candan S, Sezer O, Erdem HB, Gul D, Demiral E, Elmas M, Yesilbas O, Kilic B, Gungor S, Ceylan AC, Bozdogan S, Ozalp O, Cicek S, Aslan H, Yalcintepe S, Topcu V, Bayram Y, Grochowski CM, Jolly A, Dawood M, Duan R, Jhangiani SN, Doddapaneni H, Hu J, Muzny DM, Marafi D, Akdemir ZC, Karaca E, Carvalho CMB, Gibbs RA, Posey JE, Lupski JR, Pehlivan D. High prevalence of multilocus pathogenic variation in neurodevelopmental disorders in the Turkish population. Am J Hum Genet 2021; 108:1981-2005. [PMID: 34582790 PMCID: PMC8546040 DOI: 10.1016/j.ajhg.2021.08.009] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 08/20/2021] [Indexed: 02/06/2023] Open
Abstract
Neurodevelopmental disorders (NDDs) are clinically and genetically heterogenous; many such disorders are secondary to perturbation in brain development and/or function. The prevalence of NDDs is > 3%, resulting in significant sociocultural and economic challenges to society. With recent advances in family-based genomics, rare-variant analyses, and further exploration of the Clan Genomics hypothesis, there has been a logarithmic explosion in neurogenetic "disease-associated genes" molecular etiology and biology of NDDs; however, the majority of NDDs remain molecularly undiagnosed. We applied genome-wide screening technologies, including exome sequencing (ES) and whole-genome sequencing (WGS), to identify the molecular etiology of 234 newly enrolled subjects and 20 previously unsolved Turkish NDD families. In 176 of the 234 studied families (75.2%), a plausible and genetically parsimonious molecular etiology was identified. Out of 176 solved families, deleterious variants were identified in 218 distinct genes, further documenting the enormous genetic heterogeneity and diverse perturbations in human biology underlying NDDs. We propose 86 candidate disease-trait-associated genes for an NDD phenotype. Importantly, on the basis of objective and internally established variant prioritization criteria, we identified 51 families (51/176 = 28.9%) with multilocus pathogenic variation (MPV), mostly driven by runs of homozygosity (ROHs) - reflecting genomic segments/haplotypes that are identical-by-descent. Furthermore, with the use of additional bioinformatic tools and expansion of ES to additional family members, we established a molecular diagnosis in 5 out of 20 families (25%) who remained undiagnosed in our previously studied NDD cohort emanating from Turkey.
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Affiliation(s)
- Tadahiro Mitani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sedat Isikay
- Department of Pediatric Neurology, Faculty of Medicine, University of Gaziantep, Gaziantep 27310, Turkey
| | - Alper Gezdirici
- Department of Medical Genetics, Basaksehir Cam and Sakura City Hospital, Istanbul 34480, Turkey
| | - Elif Yilmaz Gulec
- Department of Medical Genetics, Kanuni Sultan Suleyman Training and Research Hospital, 34303 Istanbul, Turkey
| | - Jaya Punetha
- Department of Molecular and Human Genetics, 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
| | - Isabella Herman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Section of Pediatric 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
| | - Gulsen Akay
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Haowei Du
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Daniel G Calame
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Section of Pediatric 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
| | - Akif Ayaz
- Department of Medical Genetics, Adana City Training and Research Hospital, Adana 01170, Turkey; Departments of Medical Genetics, School of Medicine, Istanbul Medipol University, Istanbul 34810, Turkey
| | - Tulay Tos
- University of Health Sciences Zubeyde Hanim Research and Training Hospital of Women's Health and Diseases, Department of Medical Genetics, Ankara 06080, Turkey
| | - Gozde Yesil
- Istanbul Faculty of Medicine, Department of Medical Genetics, Istanbul University, Istanbul 34093, Turkey
| | - Hatip Aydin
- Centre of Genetics Diagnosis, Zeynep Kamil Maternity and Children's Training and Research Hospital, Istanbul, Turkey; Private Reyap Istanbul Hospital, Istanbul 34515, Turkey
| | - Bilgen Geckinli
- Centre of Genetics Diagnosis, Zeynep Kamil Maternity and Children's Training and Research Hospital, Istanbul, Turkey; Department of Medical Genetics, School of Medicine, Marmara University, Istanbul 34722, Turkey
| | - Nursel Elcioglu
- Department of Pediatric Genetics, School of Medicine, Marmara University, Istanbul 34722, Turkey; Eastern Mediterranean University Medical School, Magosa, Mersin 10, Turkey
| | - Sukru Candan
- Medical Genetics Section, Balikesir Ataturk Public Hospital, Balikesir 10100, Turkey
| | - Ozlem Sezer
- Department of Medical Genetics, Samsun Education and Research Hospital, Samsun 55100, Turkey
| | - Haktan Bagis Erdem
- Department of Medical Genetics, University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Ankara 06110, Turkey
| | - Davut Gul
- Department of Medical Genetics, Gulhane Military Medical School, Ankara 06010, Turkey
| | - Emine Demiral
- Department of Medical Genetics, School of Medicine, University of Inonu, Malatya 44280, Turkey
| | - Muhsin Elmas
- Department of Medical Genetics, Afyon Kocatepe University, School of Medicine, Afyon 03218, Turkey
| | - Osman Yesilbas
- Division of Critical Care Medicine, Department of Pediatrics, School of Medicine, Bezmialem Foundation University, Istanbul 34093, Turkey; Department of Pediatrics, Division of Pediatric Critical Care Medicine, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Betul Kilic
- Department of Pediatrics and Pediatric Neurology, Faculty of Medicine, Inonu University, Malatya 34218, Turkey
| | - Serdal Gungor
- Department of Pediatrics and Pediatric Neurology, Faculty of Medicine, Inonu University, Malatya 34218, Turkey
| | - Ahmet C Ceylan
- Department of Medical Genetics, University of Health Sciences, Ankara Training and Research Hospital, Ankara 06110, Turkey
| | - Sevcan Bozdogan
- Department of Medical Genetics, Cukurova University Faculty of Medicine, Adana 01330, Turkey
| | - Ozge Ozalp
- Department of Medical Genetics, Adana City Training and Research Hospital, Adana 01170, Turkey
| | - Salih Cicek
- Department of Medical Genetics, Konya Training and Research Hospital, Konya 42250, Turkey
| | - Huseyin Aslan
- Department of Medical Genetics, Adana City Training and Research Hospital, Adana 01170, Turkey
| | - Sinem Yalcintepe
- Department of Medical Genetics, School of Medicine, Trakya University, Edirne 22130, Turkey
| | - Vehap Topcu
- Department of Medical Genetics, Ankara City Hospital, Ankara 06800, Turkey
| | - Yavuz Bayram
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Angad Jolly
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Scientist Training Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - Moez Dawood
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Medical Scientist Training Program, Baylor College of Medicine, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ruizhi Duan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Shalini N Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Harsha Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jianhong Hu
- 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
| | - Dana Marafi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zeynep Coban Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ender Karaca
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Claudia M B Carvalho
- 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
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA.
| | - Davut Pehlivan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Section of Pediatric 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; Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA.
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24
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Majer F, Sikora J. Easy and fast PCR-based protocol allows characterization of breakpoints resulting from Alu/Alu-mediated genomic rearrangements. Mol Genet Genomic Med 2021; 9:e1830. [PMID: 34596355 PMCID: PMC8683632 DOI: 10.1002/mgg3.1830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Filip Majer
- Research Unit for Rare Diseases, Department of Paediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University, General University Hospital, Praha 2, Czech Republic
| | - Jakub Sikora
- Research Unit for Rare Diseases, Department of Paediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University, General University Hospital, Praha 2, Czech Republic.,Institute of Pathology, First Faculty of Medicine, Charles University, General University Hospital, Praha 2, Czech Republic
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25
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Grochowski CM, Krepischi ACV, Eisfeldt J, Du H, Bertola DR, Oliveira D, Costa SS, Lupski JR, Lindstrand A, Carvalho CMB. Chromoanagenesis Event Underlies a de novo Pericentric and Multiple Paracentric Inversions in a Single Chromosome Causing Coffin-Siris Syndrome. Front Genet 2021; 12:708348. [PMID: 34512724 PMCID: PMC8427664 DOI: 10.3389/fgene.2021.708348] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 07/23/2021] [Indexed: 02/02/2023] Open
Abstract
Chromoanagenesis is a descriptive term that encompasses classes of catastrophic mutagenic processes that generate localized and complex chromosome rearrangements in both somatic and germline genomes. Herein, we describe a 5-year-old female presenting with a constellation of clinical features consistent with a clinical diagnosis of Coffin–Siris syndrome 1 (CSS1). Initial G-banded karyotyping detected a 90-Mb pericentric and a 47-Mb paracentric inversion on a single chromosome. Subsequent analysis of short-read whole-genome sequencing data and genomic optical mapping revealed additional inversions, all clustered on chromosome 6, one of them disrupting ARID1B for which haploinsufficiency leads to the CSS1 disease trait (MIM:135900). The aggregate structural variant data show that the resolved, the resolved derivative chromosome architecture presents four de novo inversions, one pericentric and three paracentric, involving six breakpoint junctions in what appears to be a shuffling of genomic material on this chromosome. Each junction was resolved to nucleotide-level resolution with mutational signatures suggestive of non-homologous end joining. The disruption of the gene ARID1B is shown to occur between the fourth and fifth exon of the canonical transcript with subsequent qPCR studies confirming a decrease in ARID1B expression in the patient versus healthy controls. Deciphering the underlying genomic architecture of chromosomal rearrangements and complex structural variants may require multiple technologies and can be critical to elucidating the molecular etiology of a patient’s clinical phenotype or resolving unsolved Mendelian disease cases.
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Affiliation(s)
- Christopher M Grochowski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - Ana C V Krepischi
- Department of Genetics and Evolutionary Biology, Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - Jesper Eisfeldt
- Department of Molecular Medicine and Surgery and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Science for Life Laboratory, Karolinska Institutet Science Park, Solna, Sweden
| | - Haowei Du
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - Debora R Bertola
- Department of Genetics and Evolutionary Biology, Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, São Paulo, Brazil.,Clinical Genetics Unit, Instituto da Criança do Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - Danyllo Oliveira
- Department of Genetics and Evolutionary Biology, Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - Silvia S Costa
- Department of Genetics and Evolutionary Biology, Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, São Paulo, Brazil
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States.,Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, United States.,Texas Children's Hospital, Houston, TX, United States
| | - 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
| | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States.,Pacific Northwest Research Institute, Seattle, WA, United States
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26
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Duan R, Saadi NW, Grochowski CM, Bhadila G, Faridoun A, Mitani T, Du H, Fatih JM, Jhangiani SN, Akdemir ZC, Gibbs RA, Pehlivan D, Posey JE, Marafi D, Lupski JR. A novel homozygous SLC13A5 whole-gene deletion generated by Alu/Alu-mediated rearrangement in an Iraqi family with epileptic encephalopathy. Am J Med Genet A 2021; 185:1972-1980. [PMID: 33797191 DOI: 10.1002/ajmg.a.62192] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 02/10/2021] [Accepted: 03/05/2021] [Indexed: 01/05/2023]
Abstract
Biallelic loss-of-function (LoF) of SLC13A5 (solute carrier family 13, member 5) induced deficiency in sodium/citrate transporter (NaCT) causes autosomal recessive developmental epileptic encephalopathy 25 with hypoplastic amelogenesis imperfecta (DEE25; MIM #615905). Many pathogenic SLC13A5 single nucleotide variants (SNVs) and small indels have been described; however, no cases with copy number variants (CNVs) have been sufficiently investigated. We describe a consanguineous Iraqi family harboring an 88.5 kb homozygous deletion including SLC13A5 in Chr17p13.1. The three affected male siblings exhibit neonatal-onset epilepsy with fever-sensitivity, recurrent status epilepticus, global developmental delay/intellectual disability (GDD/ID), and other variable neurological findings as shared phenotypical features of DEE25. Two of the three affected subjects exhibit hypoplastic amelogenesis imperfecta (AI), while the proband shows no evidence of dental abnormalities or AI at 2 years of age with apparently unaffected primary dentition. Characterization of the genomic architecture at this locus revealed evidence for genomic instability generated by an Alu/Alu-mediated rearrangement; confirmed by break-point junction Sanger sequencing. This multiplex family from a distinct population elucidates the phenotypic consequence of complete LoF of SLC13A5 and illustrates the importance of read-depth-based CNV detection in comprehensive exome sequencing analysis to solve cases that otherwise remain molecularly unsolved.
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Affiliation(s)
- Ruizhi Duan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Nebal Waill Saadi
- College of Medicine, University of Baghdad, Baghdad, Iraq.,Children Welfare Teaching Hospital, Medical City Complex, Baghdad, Iraq
| | | | - Ghalia Bhadila
- Department of Advanced Oral Sciences and Therapeutics, University of Maryland School of Dentistry, Baltimore, Maryland, USA.,Department of Pediatric Dentistry, Faculty of Dentistry, King AbdulAziz University, Jeddah, Saudi Arabia
| | - Afnan Faridoun
- Department of General Dental Practice, Faculty of Dentistry, Kuwait University, Kuwait
| | - Tadahiro Mitani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Haowei Du
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Jawid M Fatih
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Shalini N Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Zeynep C Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Richard A Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Davut Pehlivan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Texas Children's Hospital, Houston, Texas, USA.,Section of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine & Texas Children's Hospital, Houston, Texas, USA
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Dana Marafi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Department of Pediatrics, Faculty of Medicine, Kuwait University, Safat, Kuwait
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.,Texas Children's Hospital, Houston, Texas, USA.,Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
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27
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Morales ME, Kaul T, Walker J, Everett C, White T, Deininger P. Altered DNA repair creates novel Alu/Alu repeat-mediated deletions. Hum Mutat 2021; 42:600-613. [PMID: 33675284 PMCID: PMC8068675 DOI: 10.1002/humu.24193] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 01/25/2021] [Accepted: 02/24/2021] [Indexed: 12/21/2022]
Abstract
Alu elements are the most abundant source of nonallelic homology that influences genetic instability in the human genome. When there is a DNA double-stranded break, the Alu element's high copy number, moderate length and distance and mismatch between elements uniquely influence recombination processes. We utilize a reporter-gene assay to show the complex influence of Alu mismatches on Alu-related repeat-mediated deletions (RMDs). The Alu/Alu heteroduplex intermediate can result in a nonallelic homologous recombination (HR). Alternatively, the heteroduplex can result in various DNA breaks around the Alu elements caused by competing nucleases. These breaks can undergo Alt-nonhomologous end joining to cause deletions focused around the Alu elements. Formation of these heteroduplex intermediates is largely RAD52 dependent. Cells with low ERCC1 levels utilize more of these alternatives resolutions, while cells with MSH2 defects tend to have more RMDs with a specific increase in the HR events. Therefore, Alu elements are expected to create different forms of deletions in various cancers depending on a number of these DNA repair defects.
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Affiliation(s)
- Maria E Morales
- Tulane Cancer Center, Tulane University, New Orleans, Louisiana, USA
| | - Tiffany Kaul
- Tulane Cancer Center, Tulane University, New Orleans, Louisiana, USA
| | - JaNiece Walker
- Department of Biology, Xavier University, New Orleans, Louisiana, USA
| | - Chelsea Everett
- Tulane Cancer Center, Tulane University, New Orleans, Louisiana, USA
| | - Travis White
- Tulane Cancer Center, Tulane University, New Orleans, Louisiana, USA.,Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Prescott Deininger
- Tulane Cancer Center, Tulane University, New Orleans, Louisiana, USA.,Department of Epidemiology, Tulane University, New Orleans, Louisiana, USA
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28
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Silipigni R, Milani D, Tolva G, Monfrini E, Giacobbe A, Marchisio PG, Guerneri S. Complex genomic alterations and intellectual disability: an interpretative challenge. JOURNAL OF INTELLECTUAL DISABILITY RESEARCH : JIDR 2021; 65:113-124. [PMID: 33140510 DOI: 10.1111/jir.12797] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 09/16/2020] [Accepted: 10/18/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Complex chromosomal rearrangements (CCRs) are structural rearrangements involving more than three chromosomes or having more than two breaks; approximately 70% are not associated with any clinical phenotype. Here, we describe a CCR segregating in a two-generation family. METHOD A 4-year-old male was evaluated for developmental delay, mild intellectual disability and epicanthus. Karyotype, fluorescence in situ hybridisation (FISH) analysis and array comparative genomic hybridisation (aCGH) analysis were performed on the patient and of all family members. RESULT Array CGH analysis of the proband detected two non-contiguous genomic gains of chromosome 2 at bands q32.3q33.2 and bands q36.1q36.3. Both karyotype and FISH analysis revealed a recombinant chromosome 2 with a direct insertion of regions q32.3q33.2 and q36.1q36.3 into region q12. Both of these regions were also present in their original location. Karyotype and FISH analysis of the father revealed a de novo direct insertion of regions q32.3q33.2 and q36.1q36.3 into region q12. Moreover, a de novo balanced translocation involving the q arm of the same chromosome 2 and the p arm of chromosome 10 was observed in the father of the proband. The single nucleotide polymorphism (SNP) array analysis and haplotype reconstruction confirmed the paternal origin of the duplications. Karyotype, FISH analysis and array CGH analysis of other family members were all normal. CONCLUSION This report underlines the importance of using different methods to correctly evaluate the origin and the structure of CCRs in order to provide an appropriate management of the patients and a good estimation of the reproductive risk of the family.
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Affiliation(s)
- R Silipigni
- Laboratory of Medical Genetics, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - D Milani
- Pediatric Highly Intensive Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - G Tolva
- Pediatric Highly Intensive Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - E Monfrini
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Dino Ferrari Center, Neuroscience Section, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - A Giacobbe
- Child and Adolescent Neuropsychiatric Service (UONPIA), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - P G Marchisio
- Pediatric Highly Intensive Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - S Guerneri
- Laboratory of Medical Genetics, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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29
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de Bruijn SE, Fiorentino A, Ottaviani D, Fanucchi S, Melo US, Corral-Serrano JC, Mulders T, Georgiou M, Rivolta C, Pontikos N, Arno G, Roberts L, Greenberg J, Albert S, Gilissen C, Aben M, Rebello G, Mead S, Raymond FL, Corominas J, Smith CEL, Kremer H, Downes S, Black GC, Webster AR, Inglehearn CF, van den Born LI, Koenekoop RK, Michaelides M, Ramesar RS, Hoyng CB, Mundlos S, Mhlanga MM, Cremers FPM, Cheetham ME, Roosing S, Hardcastle AJ. Structural Variants Create New Topological-Associated Domains and Ectopic Retinal Enhancer-Gene Contact in Dominant Retinitis Pigmentosa. Am J Hum Genet 2020; 107:802-814. [PMID: 33022222 PMCID: PMC7675008 DOI: 10.1016/j.ajhg.2020.09.002] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 09/02/2020] [Indexed: 01/07/2023] Open
Abstract
The cause of autosomal-dominant retinitis pigmentosa (adRP), which leads to loss of vision and blindness, was investigated in families lacking a molecular diagnosis. A refined locus for adRP on Chr17q22 (RP17) was delineated through genotyping and genome sequencing, leading to the identification of structural variants (SVs) that segregate with disease. Eight different complex SVs were characterized in 22 adRP-affected families with >300 affected individuals. All RP17 SVs had breakpoints within a genomic region spanning YPEL2 to LINC01476. To investigate the mechanism of disease, we reprogrammed fibroblasts from affected individuals and controls into induced pluripotent stem cells (iPSCs) and differentiated them into photoreceptor precursor cells (PPCs) or retinal organoids (ROs). Hi-C was performed on ROs, and differential expression of regional genes and a retinal enhancer RNA at this locus was assessed by qPCR. The epigenetic landscape of the region, and Hi-C RO data, showed that YPEL2 sits within its own topologically associating domain (TAD), rich in enhancers with binding sites for retinal transcription factors. The Hi-C map of RP17 ROs revealed creation of a neo-TAD with ectopic contacts between GDPD1 and retinal enhancers, and modeling of all RP17 SVs was consistent with neo-TADs leading to ectopic retinal-specific enhancer-GDPD1 accessibility. qPCR confirmed increased expression of GDPD1 and increased expression of the retinal enhancer that enters the neo-TAD. Altered TAD structure resulting in increased retinal expression of GDPD1 is the likely convergent mechanism of disease, consistent with a dominant gain of function. Our study highlights the importance of SVs as a genomic mechanism in unsolved Mendelian diseases.
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Affiliation(s)
- Suzanne E de Bruijn
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands; Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands
| | - Alessia Fiorentino
- UCL Institute of Ophthalmology, London, EC1V 9EL, UK; UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership
| | | | - Stephanie Fanucchi
- Gene Expression and Biophysics Group, Division of Chemical, Systems and Synthetic Biology, Department of Integrative Biomedical Science, Institute for Infectious Disease & Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, 7935, South Africa
| | - Uirá S Melo
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany; Institute for Medical and Human Genetics, Charité - Universitätsmedizin, Berlin, 10117, Germany
| | | | - Timo Mulders
- Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands; Department of Ophthalmology, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands
| | - Michalis Georgiou
- UCL Institute of Ophthalmology, London, EC1V 9EL, UK; Moorfields Eye Hospital, London, EC1V 2PD, UK
| | - Carlo Rivolta
- Department of Genetics and Genome Biology, University of Leicester, Leicester, LE1 7RH, UK; Clinical Research Center, Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, 4031, Switzerland; Department of Ophthalmology, University Hospital Basel, Basel, 4001, Switzerland
| | - Nikolas Pontikos
- UCL Institute of Ophthalmology, London, EC1V 9EL, UK; UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership
| | - Gavin Arno
- UCL Institute of Ophthalmology, London, EC1V 9EL, UK; UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership; Moorfields Eye Hospital, London, EC1V 2PD, UK
| | - Lisa Roberts
- University of Cape Town/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, 7935, South Africa
| | - Jacquie Greenberg
- University of Cape Town/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, 7935, South Africa
| | - Silvia Albert
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands
| | - Marco Aben
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands
| | - George Rebello
- University of Cape Town/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, 7935, South Africa
| | - Simon Mead
- MRC Prion Unit at UCL, UCL Institute of Prion Disease, London, W1W 7FF, UK
| | - F Lucy Raymond
- NIHR BioResource, Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, CB2 OXY, UK
| | - Jordi Corominas
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands
| | - Claire E L Smith
- Division of Molecular Medicine, Leeds Institute of Medical Research, University of Leeds, Leeds, LS2 9JT, UK
| | - Hannie Kremer
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands; Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands; Department of Otorhinolaryngology, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands
| | - Susan Downes
- UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership; Oxford Eye Hospital, Oxford University Hospitals NHS Trust and Nuffield Laboratory of Ophthalmology, University of Oxford, Oxford, OX3 9DU, UK
| | - Graeme C Black
- UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership; Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester, M13 9WL, UK
| | - Andrew R Webster
- UCL Institute of Ophthalmology, London, EC1V 9EL, UK; UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership; Moorfields Eye Hospital, London, EC1V 2PD, UK
| | - Chris F Inglehearn
- UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership; Division of Molecular Medicine, Leeds Institute of Medical Research, University of Leeds, Leeds, LS2 9JT, UK
| | | | - Robert K Koenekoop
- Department of Paediatric Surgery, Human Genetics and Ophthalmology, McGill University, Montréal, QC H4A 3J1, Canada
| | - Michel Michaelides
- UCL Institute of Ophthalmology, London, EC1V 9EL, UK; UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership; Moorfields Eye Hospital, London, EC1V 2PD, UK
| | - Raj S Ramesar
- University of Cape Town/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, 7935, South Africa
| | - Carel B Hoyng
- Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands; Department of Ophthalmology, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands
| | - Stefan Mundlos
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany; Institute for Medical and Human Genetics, Charité - Universitätsmedizin, Berlin, 10117, Germany
| | - Musa M Mhlanga
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands; Gene Expression and Biophysics Group, Division of Chemical, Systems and Synthetic Biology, Department of Integrative Biomedical Science, Institute for Infectious Disease & Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, 7935, South Africa; Gene Expression and Biophysics Unit, Instituto de Medicina Molecular, Faculdade de Medicina Universidade de Lisboa, Lisbon, 1649-028, Portugal; Epigenomics & Single Cell Biophysics Group, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University, Nijmegen, 6525 GA, the Netherlands
| | - Frans P M Cremers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands; Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands
| | - Michael E Cheetham
- UCL Institute of Ophthalmology, London, EC1V 9EL, UK; UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership
| | - Susanne Roosing
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands; Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Center, Nijmegen, 6500 HB, the Netherlands.
| | - Alison J Hardcastle
- UCL Institute of Ophthalmology, London, EC1V 9EL, UK; UK Inherited Retinal Disease Consortium; Genomics England Clinical Interpretation Partnership
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30
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Zhang C, Mazzeu JF, Eisfeldt J, Grochowski CM, White J, Akdemir ZC, Jhangiani SN, Muzny DM, Gibbs RA, Lindstrand A, Lupski JR, Sutton VR, Carvalho CMB. Novel pathogenic genomic variants leading to autosomal dominant and recessive Robinow syndrome. Am J Med Genet A 2020; 185:3593-3600. [PMID: 33048444 DOI: 10.1002/ajmg.a.61908] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 09/11/2020] [Accepted: 09/19/2020] [Indexed: 12/29/2022]
Abstract
Robinow syndrome (RS) is a genetically heterogeneous disorder characterized by skeletal dysplasia and a distinctive facial appearance. Previous studies have revealed locus heterogeneity with rare variants in DVL1, DVL3, FZD2, NXN, ROR2, and WNT5A underlying the etiology of RS. The aforementioned "Robinow-associated genes" and their gene products all play a role in the WNT/planar cell polarity signaling pathway. We performed gene-targeted Sanger sequencing, exome sequencing, genome sequencing, and array comparative genomic hybridization on four subjects with a clinical diagnosis of RS who had not had prior DNA testing. Individuals in our cohort were found to carry pathogenic or likely pathogenic variants in three RS related genes: DVL1, ROR2, and NXN. One subject was found to have a nonsense variant (c.817C > T [p.Gln273*]) in NXN in trans with an ~1 Mb telomeric deletion on chromosome 17p containing NXN, which supports our contention that biallelic NXN variant alleles are responsible for a novel autosomal recessive RS locus. These findings provide increased understanding of the role of WNT signaling in skeletal development and maintenance. These data further support the hypothesis that dysregulation of the noncanonical WNT pathway in humans gives rise to RS.
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Affiliation(s)
- Chaofan Zhang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Juliana F Mazzeu
- University of Brasilia, Brasilia, Brazil.,Robinow Syndrome Foundation, Anoka, Minnesota, USA
| | - Jesper Eisfeldt
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | | | - Janson White
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Zeynep C Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Shalini N Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Anna Lindstrand
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.,Texas Children's Hospital, Houston, Texas, USA.,Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - V Reid Sutton
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Texas Children's Hospital, Houston, Texas, USA
| | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Pacific Northwest Research Institute (PNRI), Seattle, Washington, USA
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31
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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.
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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
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32
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Deciphering the complexity of simple chromosomal insertions by genome sequencing. Hum Genet 2020; 140:361-380. [PMID: 32728808 DOI: 10.1007/s00439-020-02210-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 07/22/2020] [Indexed: 10/23/2022]
Abstract
Chromosomal insertions are thought to be rare structural rearrangements. The current understanding of the underlying mechanisms of their origin is still limited. In this study, we sequenced 16 cases with apparent simple insertions previously identified by karyotyping and/or chromosomal microarray analysis. Using mate-pair genome sequencing (GS), we identified all 16 insertions and revised previously designated karyotypes in 75.0% (12/16) of the cases. Additional cryptic rearrangements were identified in 68.8% of the cases (11/16). The incidence of additional cryptic rearrangements in chromosomal insertions was significantly higher compared to balanced translocations and inversions reported in other studies by GS. We characterized and classified the cryptic insertion rearrangements into four groups, which were not mutually exclusive: (1) insertion segments were fragmented and their subsegments rearranged and clustered at the insertion site (10/16, 62.5%); (2) one or more cryptic subsegments were not inserted into the insertion site (5/16, 31.3%); (3) segments of the acceptor chromosome were scattered and rejoined with the insertion segments (2/16, 12.5%); and (4) copy number gains were identified in the flanking regions of the insertion site (2/16, 12.5%). In addition to the observation of these chromothripsis- or chromoanasynthesis-like events, breakpoint sequence analysis revealed microhomology to be the predominant feature. However, no significant correlation was found between the number of cryptic rearrangements and the size of the insertion. Overall, our study provide molecular characterization of karyotypically apparent simple insertions, demonstrate previously underappreciated complexities, and evidence that chromosomal insertions are likely formed by nonhomologous end joining and/or microhomology-mediated replication-based DNA repair.
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33
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Brás A, Rodrigues AS, Rueff J. Copy number variations and constitutional chromothripsis (Review). Biomed Rep 2020; 13:11. [PMID: 32765850 PMCID: PMC7391299 DOI: 10.3892/br.2020.1318] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 02/13/2020] [Indexed: 02/07/2023] Open
Abstract
Both copy number variations (CNVs) and chromothripsis are phenomena that involve complex genomic rearrangements. Chromothripsis results in CNVs and other structural changes. CNVs are frequently observed in the human genome. Studies on CNVs have been increasing exponentially; the Database of Genomic Variants shows an increase in the number of data published on structural variations added to the database in the last 15 years. CNVs may be a result of replicative and non-replicative mechanisms, and are hypothesized to serve important roles in human health and disease. Chromothripsis is a phenomena of chromosomal rearrangement following chromosomal breaks at multiple locations and involves impaired DNA repair. In 2011, Stephens et al coined the term chromothripsis for this type of fragmenting event. Several proposed mechanisms have been suggested to underlie chromothripsis, such as p53 inactivation, micronuclei formation, abortive apoptosis and telomere fusions in telomere crisis. Chromothripsis gives rise to normal or abnormal phenotypes. In this review, constitutional chromothripsis, which may coexist with multiple de novo CNVs are described and discussed. This reviews aims to summarize recent advances in our understanding of CNVs and chromothripsis, and describe the effects of these phenomena on human health and birth defects.
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Affiliation(s)
- Aldina Brás
- Centre for Toxicogenomics and Human Health (ToxOmics), Genetics, Oncology and Human Toxicology, NOVA Medical School, Faculty of Medical Sciences, NOVA University of Lisbon, Lisbon 1169-056, Portugal
| | - António Sebastião Rodrigues
- Centre for Toxicogenomics and Human Health (ToxOmics), Genetics, Oncology and Human Toxicology, NOVA Medical School, Faculty of Medical Sciences, NOVA University of Lisbon, Lisbon 1169-056, Portugal
| | - José Rueff
- Centre for Toxicogenomics and Human Health (ToxOmics), Genetics, Oncology and Human Toxicology, NOVA Medical School, Faculty of Medical Sciences, NOVA University of Lisbon, Lisbon 1169-056, Portugal
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34
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Balachandran P, Beck CR. Structural variant identification and characterization. Chromosome Res 2020; 28:31-47. [PMID: 31907725 PMCID: PMC7131885 DOI: 10.1007/s10577-019-09623-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 10/15/2019] [Accepted: 11/24/2019] [Indexed: 01/06/2023]
Abstract
Structural variant (SV) differences between human genomes can cause germline and mosaic disease as well as inter-individual variation. De-regulation of accurate DNA repair and genomic surveillance mechanisms results in a large number of SVs in cancer. Analysis of the DNA sequences at SV breakpoints can help identify pathways of mutagenesis and regions of the genome that are more susceptible to rearrangement. Large-scale SV analyses have been enabled by high-throughput genome-level sequencing on humans in the past decade. These studies have shed light on the mechanisms and prevalence of complex genomic rearrangements. Recent advancements in both sequencing and other mapping technologies as well as calling algorithms for detection of genomic rearrangements have helped propel SV detection into population-scale studies, and have begun to elucidate previously inaccessible regions of the genome. Here, we discuss the genomic organization of simple and complex SVs, the molecular mechanisms of their formation, and various ways to detect them. We also introduce methods for characterizing SVs and their consequences on human genomes.
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Affiliation(s)
| | - Christine R Beck
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA.
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, University of Connecticut Health Center, Farmington, CT, 06030, USA.
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35
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Structural variation and its potential impact on genome instability: Novel discoveries in the EGFR landscape by long-read sequencing. PLoS One 2020; 15:e0226340. [PMID: 31940362 PMCID: PMC6961855 DOI: 10.1371/journal.pone.0226340] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 11/25/2019] [Indexed: 12/29/2022] Open
Abstract
Structural variation (SV) is typically defined as variation within the human genome that exceeds 50 base pairs (bp). SV may be copy number neutral or it may involve duplications, deletions, and complex rearrangements. Recent studies have shown SV to be associated with many human diseases. However, studies of SV have been challenging due to technological constraints. With the advent of third generation (long-read) sequencing technology, exploration of longer stretches of DNA not easily examined previously has been made possible. In the present study, we utilized third generation (long-read) sequencing techniques to examine SV in the EGFR landscape of four haplotypes derived from two human samples. We analyzed the EGFR gene and its landscape (+/- 500,000 base pairs) using this approach and were able to identify a region of non-coding DNA with over 90% similarity to the most common activating EGFR mutation in non-small cell lung cancer. Based on previously published Alu-element genome instability algorithms, we propose a molecular mechanism to explain how this non-coding region of DNA may be interacting with and impacting the stability of the EGFR gene and potentially generating this cancer-driver gene. By these techniques, we were also able to identify previously hidden structural variation in the four haplotypes and in the human reference genome (hg38). We applied previously published algorithms to compare the relative stabilities of these five different EGFR gene landscape haplotypes to estimate their relative potentials to generate the EGFR exon 19, 15 bp canonical deletion. To our knowledge, the present study is the first to use the differences in genomic architecture between targeted cancer-linked phased haplotypes to estimate their relative potentials to form a common cancer-linked driver mutation.
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36
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Wang Y, Bernhardy AJ, Nacson J, Krais JJ, Tan YF, Nicolas E, Radke MR, Handorf E, Llop-Guevara A, Balmaña J, Swisher EM, Serra V, Peri S, Johnson N. BRCA1 intronic Alu elements drive gene rearrangements and PARP inhibitor resistance. Nat Commun 2019; 10:5661. [PMID: 31827092 PMCID: PMC6906494 DOI: 10.1038/s41467-019-13530-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 11/14/2019] [Indexed: 12/28/2022] Open
Abstract
BRCA1 mutant carcinomas are sensitive to PARP inhibitor (PARPi) therapy; however, resistance arises. BRCA1 BRCT domain mutant proteins do not fold correctly and are subject to proteasomal degradation, resulting in PARPi sensitivity. In this study, we show that cell lines and patient-derived tumors, with highly disruptive BRCT domain mutations, have readily detectable BRCA1 protein expression, and are able to proliferate in the presence of PARPi. Peptide analyses reveal that chemo-resistant cancers contain residues encoded by BRCA1 intron 15. Mechanistically, cancers with BRCT domain mutations harbor BRCA1 gene breakpoints within or adjacent to Alu elements in intron 15; producing partial gene duplications, inversions and translocations, and terminating transcription prior to the mutation-containing BRCT domain. BRCA1 BRCT domain-deficient protein isoforms avoid mutation-induced proteasomal degradation, support homology-dependent DNA repair, and promote PARPi resistance. Taken together, Alu-mediated BRCA1 gene rearrangements are responsible for generating hypomorphic proteins, and may represent a biomarker of PARPi resistance.
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Affiliation(s)
- Yifan Wang
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
| | - Andrea J Bernhardy
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
| | - Joseph Nacson
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
- Lewis Katz School of Medicine, Temple University, Philadelphia, PA, 19111, USA
| | - John J Krais
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
| | - Yin-Fei Tan
- Genomics Facility, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
| | - Emmanuelle Nicolas
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
- Genomics Facility, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
| | - Marc R Radke
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Elizabeth Handorf
- Bioinformatics and Statistics, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
| | - Alba Llop-Guevara
- Experimental Therapeutics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Judith Balmaña
- Hereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Elizabeth M Swisher
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Violeta Serra
- Experimental Therapeutics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Suraj Peri
- Bioinformatics and Statistics, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
| | - Neil Johnson
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA.
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37
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Distinct patterns of complex rearrangements and a mutational signature of microhomeology are frequently observed in PLP1 copy number gain structural variants. Genome Med 2019; 11:80. [PMID: 31818324 PMCID: PMC6902434 DOI: 10.1186/s13073-019-0676-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 10/10/2019] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND We investigated the features of the genomic rearrangements in a cohort of 50 male individuals with proteolipid protein 1 (PLP1) copy number gain events who were ascertained with Pelizaeus-Merzbacher disease (PMD; MIM: 312080). We then compared our new data to previous structural variant mutagenesis studies involving the Xq22 region of the human genome. The aggregate data from 159 sequenced join-points (discontinuous sequences in the reference genome that are joined during the rearrangement process) were studied. Analysis of these data from 150 individuals enabled the spectrum and relative distribution of the underlying genomic mutational signatures to be delineated. METHODS Genomic rearrangements in PMD individuals with PLP1 copy number gain events were investigated by high-density customized array or clinical chromosomal microarray analysis and breakpoint junction sequence analysis. RESULTS High-density customized array showed that the majority of cases (33/50; ~ 66%) present with single duplications, although complex genomic rearrangements (CGRs) are also frequent (17/50; ~ 34%). Breakpoint mapping to nucleotide resolution revealed further previously unknown structural and sequence complexities, even in single duplications. Meta-analysis of all studied rearrangements that occur at the PLP1 locus showed that single duplications were found in ~ 54% of individuals and that, among all CGR cases, triplication flanked by duplications is the most frequent CGR array CGH pattern observed. Importantly, in ~ 32% of join-points, there is evidence for a mutational signature of microhomeology (highly similar yet imperfect sequence matches). CONCLUSIONS These data reveal a high frequency of CGRs at the PLP1 locus and support the assertion that replication-based mechanisms are prominent contributors to the formation of CGRs at Xq22. We propose that microhomeology can facilitate template switching, by stabilizing strand annealing of the primer using W-C base complementarity, and is a mutational signature for replicative repair.
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38
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Hijazi H, Coelho FS, Gonzaga-Jauregui C, Bernardini L, Mar SS, Manning MA, Hanson-Kahn A, Naidu S, Srivastava S, Lee JA, Jones JR, Friez MJ, Alberico T, Torres B, Fang P, Cheung SW, Song X, Davis-Williams A, Jornlin C, Wight PA, Patyal P, Taube J, Poretti A, Inoue K, Zhang F, Pehlivan D, Carvalho CMB, Hobson GM, Lupski JR. Xq22 deletions and correlation with distinct neurological disease traits in females: Further evidence for a contiguous gene syndrome. Hum Mutat 2019; 41:150-168. [PMID: 31448840 DOI: 10.1002/humu.23902] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 08/14/2019] [Accepted: 08/22/2019] [Indexed: 01/24/2023]
Abstract
Xq22 deletions that encompass PLP1 (Xq22-PLP1-DEL) are notable for variable expressivity of neurological disease traits in females ranging from a mild late-onset form of spastic paraplegia type 2 (MIM# 312920), sometimes associated with skewed X-inactivation, to an early-onset neurological disease trait (EONDT) of severe developmental delay, intellectual disability, and behavioral abnormalities. Size and gene content of Xq22-PLP1-DEL vary and were proposed as potential molecular etiologies underlying variable expressivity in carrier females where two smallest regions of overlap (SROs) were suggested to influence disease. We ascertained a cohort of eight unrelated patients harboring Xq22-PLP1-DEL and performed high-density array comparative genomic hybridization and breakpoint-junction sequencing. Molecular characterization of Xq22-PLP1-DEL from 17 cases (eight herein and nine published) revealed an overrepresentation of breakpoints that reside within repeats (11/17, ~65%) and the clustering of ~47% of proximal breakpoints in a genomic instability hotspot with characteristic non-B DNA density. These findings implicate a potential role for genomic architecture in stimulating the formation of Xq22-PLP1-DEL. The correlation of Xq22-PLP1-DEL gene content with neurological disease trait in female cases enabled refinement of the associated SROs to a single genomic interval containing six genes. Our data support the hypothesis that genes contiguous to PLP1 contribute to EONDT.
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Affiliation(s)
- Hadia Hijazi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Fernanda S Coelho
- Programa de Pós-Graduação em Genética Departmento de Biologia Geral, UFMG, Belo Horizonte, Minas Gerais, Brazil.,Instituto René Rachou, FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil
| | | | - Laura Bernardini
- Medical Genetics Division, IRCCS "Casa Sollievo della Sofferenza" Foundation, San Giovanni Rotondo (FG), Italy
| | - Soe S Mar
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Melanie A Manning
- Division of Medical Genetics, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California.,Department of Pathology, Stanford University School of Medicine, Palo Alto, California
| | - Andrea Hanson-Kahn
- Division of Medical Genetics, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California.,Department of Genetics, Stanford University School of Medicine, Palo Alto, California
| | - SakkuBai Naidu
- Departments of Neurology and Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Neurogenetics, Kennedy Krieger Institute, Baltimore, Maryland
| | | | - Jennifer A Lee
- Molecular Diagnostic Laboratory, Greenwood Genetic Center, Greenwood, South Carolina
| | - Julie R Jones
- Molecular Diagnostic Laboratory, Greenwood Genetic Center, Greenwood, South Carolina
| | - Michael J Friez
- Molecular Diagnostic Laboratory, Greenwood Genetic Center, Greenwood, South Carolina
| | - Thomas Alberico
- Nemours Biomedical Research, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware
| | - Barbara Torres
- Medical Genetics Division, IRCCS "Casa Sollievo della Sofferenza" Foundation, San Giovanni Rotondo (FG), Italy
| | - Ping Fang
- Clinical Genomics, WuXi NextCODE, Cambridge, Massachusetts
| | - Sau Wai Cheung
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Xiaofei Song
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Angelique Davis-Williams
- Nemours Biomedical Research, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware
| | - Carly Jornlin
- Nemours Biomedical Research, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware
| | - Patricia A Wight
- Department of Physiology and Biophysics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Pankaj Patyal
- Department of Physiology and Biophysics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Jennifer Taube
- Nemours Biomedical Research, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware
| | - Andrea Poretti
- Departments of Neurology and Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ken Inoue
- Department of Mental Retardation and Birth Defect Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Feng Zhang
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Davut Pehlivan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Section of Neurology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Grace M Hobson
- Nemours Biomedical Research, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.,Department of Pediatrics, Baylor College of Medicine, Houston, Texas.,Texas Children's Hospital, Houston, Texas
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39
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Lindstrand A, Eisfeldt J, Pettersson M, Carvalho CMB, Kvarnung M, Grigelioniene G, Anderlid BM, Bjerin O, Gustavsson P, Hammarsjö A, Georgii-Hemming P, Iwarsson E, Johansson-Soller M, Lagerstedt-Robinson K, Lieden A, Magnusson M, Martin M, Malmgren H, Nordenskjöld M, Norling A, Sahlin E, Stranneheim H, Tham E, Wincent J, Ygberg S, Wedell A, Wirta V, Nordgren A, Lundin J, Nilsson D. From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability. Genome Med 2019; 11:68. [PMID: 31694722 PMCID: PMC6836550 DOI: 10.1186/s13073-019-0675-1] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 10/09/2019] [Indexed: 12/30/2022] Open
Abstract
Background Since different types of genetic variants, from single nucleotide variants (SNVs) to large chromosomal rearrangements, underlie intellectual disability, we evaluated the use of whole-genome sequencing (WGS) rather than chromosomal microarray analysis (CMA) as a first-line genetic diagnostic test. Methods We analyzed three cohorts with short-read WGS: (i) a retrospective cohort with validated copy number variants (CNVs) (cohort 1, n = 68), (ii) individuals referred for monogenic multi-gene panels (cohort 2, n = 156), and (iii) 100 prospective, consecutive cases referred to our center for CMA (cohort 3). Bioinformatic tools developed include FindSV, SVDB, Rhocall, Rhoviz, and vcf2cytosure. Results First, we validated our structural variant (SV)-calling pipeline on cohort 1, consisting of three trisomies and 79 deletions and duplications with a median size of 850 kb (min 500 bp, max 155 Mb). All variants were detected. Second, we utilized the same pipeline in cohort 2 and analyzed with monogenic WGS panels, increasing the diagnostic yield to 8%. Next, cohort 3 was analyzed by both CMA and WGS. The WGS data was processed for large (> 10 kb) SVs genome-wide and for exonic SVs and SNVs in a panel of 887 genes linked to intellectual disability as well as genes matched to patient-specific Human Phenotype Ontology (HPO) phenotypes. This yielded a total of 25 pathogenic variants (SNVs or SVs), of which 12 were detected by CMA as well. We also applied short tandem repeat (STR) expansion detection and discovered one pathologic expansion in ATXN7. Finally, a case of Prader-Willi syndrome with uniparental disomy (UPD) was validated in the WGS data. Important positional information was obtained in all cohorts. Remarkably, 7% of the analyzed cases harbored complex structural variants, as exemplified by a ring chromosome and two duplications found to be an insertional translocation and part of a cryptic unbalanced translocation, respectively. Conclusion The overall diagnostic rate of 27% was more than doubled compared to clinical microarray (12%). Using WGS, we detected a wide range of SVs with high accuracy. Since the WGS data also allowed for analysis of SNVs, UPD, and STRs, it represents a powerful comprehensive genetic test in a clinical diagnostic laboratory setting.
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Affiliation(s)
- Anna Lindstrand
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden. .,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden. .,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Jesper Eisfeldt
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | - Maria Pettersson
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Malin Kvarnung
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Giedre Grigelioniene
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Britt-Marie Anderlid
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Olof Bjerin
- The Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Peter Gustavsson
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anna Hammarsjö
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Erik Iwarsson
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Maria Johansson-Soller
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kristina Lagerstedt-Robinson
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Agne Lieden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Måns Magnusson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.,Centre for Inherited Metabolic Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Marcel Martin
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Stockholm, Sweden
| | - Helena Malmgren
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Magnus Nordenskjöld
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ameli Norling
- The Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Ellika Sahlin
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Stranneheim
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Inherited Metabolic Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Emma Tham
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Josephine Wincent
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Sofia Ygberg
- The Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.,Centre for Inherited Metabolic Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Wedell
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Centre for Inherited Metabolic Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Valtteri Wirta
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.,Science for Life Laboratory, Department of Microbiology, Tumor and Cell biology, Karolinska Institutet, Stockholm, Sweden
| | - Ann Nordgren
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Johanna Lundin
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Daniel Nilsson
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
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Hu Q, Lu H, Wang H, Li S, Truong L, Li J, Liu S, Xiang R, Wu X. Break-induced replication plays a prominent role in long-range repeat-mediated deletion. EMBO J 2019; 38:e101751. [PMID: 31571254 DOI: 10.15252/embj.2019101751] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Revised: 09/07/2019] [Accepted: 09/11/2019] [Indexed: 12/17/2022] Open
Abstract
Repetitive DNA sequences are often associated with chromosomal rearrangements in cancers. Conventionally, single-strand annealing (SSA) is thought to mediate homology-directed repair of double-strand breaks (DSBs) between two repeats, causing repeat-mediated deletion (RMD). In this report, we demonstrate that break-induced replication (BIR) is used predominantly over SSA in mammalian cells for mediating RMD, especially when repeats are far apart. We show that SSA becomes inefficient in mammalian cells when the distance between the DSBs and the repeats is increased to the 1-2 kb range, while BIR-mediated RMD (BIR/RMD) can act over a long distance (e.g., ~ 100-200 kb) when the DSB is close to one repeat. Importantly, oncogene expression potentiates BIR/RMD but not SSA, and BIR/RMD is used more frequently at single-ended DSBs formed at collapsed replication forks than at double-ended DSBs. In contrast to short-range SSA, H2AX is required for long-range BIR/RMD, and sequence divergence strongly suppresses BIR/RMD in a manner partially dependent on MSH2. Our finding that BIR/RMD has a more important role than SSA in mammalian cells has a significant impact on the understanding of repeat-mediated rearrangements associated with oncogenesis.
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Affiliation(s)
- Qing Hu
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Hongyan Lu
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA.,School of Medicine, Nankai University, Tianjin, China
| | - Hongjun Wang
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Shibo Li
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Lan Truong
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Jun Li
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA.,School of Medicine, Nankai University, Tianjin, China
| | - Shuo Liu
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA.,School of Medicine, Nankai University, Tianjin, China
| | - Rong Xiang
- School of Medicine, Nankai University, Tianjin, China
| | - Xiaohua Wu
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
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An Evolutionary Perspective on the Impact of Genomic Copy Number Variation on Human Health. J Mol Evol 2019; 88:104-119. [PMID: 31522275 DOI: 10.1007/s00239-019-09911-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Accepted: 08/27/2019] [Indexed: 02/06/2023]
Abstract
Copy number variants (CNVs), deletions and duplications of segments of DNA, account for at least five times more variable base pairs in humans than single-nucleotide variants. Several common CNVs were shown to change coding and regulatory sequences and thus dramatically affect adaptive phenotypes involving immunity, perception, metabolism, skin structure, among others. Some of these CNVs were also associated with susceptibility to cancer, infection, and metabolic disorders. These observations raise the possibility that CNVs are a primary contributor to human phenotypic variation and consequently evolve under selective pressures. Indeed, locus-specific haplotype-level analyses revealed signatures of natural selection on several CNVs. However, more traditional tests of selection which are often applied to single-nucleotide variation often have diminished statistical power when applied to CNVs because they often do not show strong linkage disequilibrium with nearby variants. Recombination-based formation mechanisms of CNVs lead to frequent recurrence and gene conversion events, breaking the linkage disequilibrium involving CNVs. Similar methodological challenges also prevent routine genome-wide association studies to adequately investigate the impact of CNVs on heritable human disease. Thus, we argue that the full relevance of CNVs to human health and evolution is yet to be elucidated. We further argue that a holistic investigation of formation mechanisms within an evolutionary framework would provide a powerful framework to understand the functional and biomedical impact of CNVs. In this paper, we review several cases where studies reveal diverse evolutionary histories and unexpected functional consequences of CNVs. We hope that this review will encourage further work on CNVs by both evolutionary and medical geneticists.
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43
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Shi J, Liang C. Generic Repeat Finder: A High-Sensitivity Tool for Genome-Wide De Novo Repeat Detection. PLANT PHYSIOLOGY 2019; 180:1803-1815. [PMID: 31152127 PMCID: PMC6670090 DOI: 10.1104/pp.19.00386] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 05/17/2019] [Indexed: 05/25/2023]
Abstract
Comprehensive and accurate annotation of the repeatome, including transposons, is critical for deepening our understanding of repeat origins, biogenesis, regulatory mechanisms, and roles. Here, we developed Generic Repeat Finder (GRF), a tool for genome-wide repeat detection based on fast, exhaustive numerical calculation algorithms integrated with optimized dynamic programming strategies. GRF sensitively identifies terminal inverted repeats (TIRs), terminal direct repeats (TDRs), and interspersed repeats that bear both inverted and direct repeats. GRF also detects DNA or RNA transposable elements characterized by these repeats in plant and animal genomes. For TIRs and TDRs, GRF identifies spacers in the middle and mismatches/insertions or deletions in terminal repeats, showing their alignment or base-pairing information. GRF helps improve the annotation for various DNA transposons and retrotransposons, such as miniature inverted-repeat transposable elements (MITEs), long terminal repeat (LTR) retrotransposons, and non-LTR retrotransposons, including long interspersed nuclear elements and short interspersed nuclear elements in plants. We used GRF to perform TIR/TDR, interspersed-repeat, and MITE detection in several species, including Arabidopsis (Arabidopsis thaliana), rice (Oryza sativa), and mouse (Mus musculus). As a generic bioinformatics tool in repeat finding implemented as a parallelized C++ program, GRF was faster and more sensitive than the existing inverted repeat/MITE detection tools based on numerical approaches (i.e. detectIR and detectMITE) in Arabidopsis and mouse. GRF is more sensitive than Inverted Repeat Finder in TIR detection, LTR_FINDER in short TDR detection (≤1,000 nt), and phRAIDER in interspersed repeat detection in Arabidopsis and rice. GRF is an open source available from Github.
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Affiliation(s)
- Jieming Shi
- Department of Biology, Miami University, Oxford, Ohio 45056
| | - Chun Liang
- Department of Biology, Miami University, Oxford, Ohio 45056
- Department of Computer Science and Software Engineering, Miami University, Oxford, Ohio 45056
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Vidal S, Pascual-Alonso A, Rabaza-Gairí M, Gerotina E, Brandi N, Pacheco P, Xiol C, Pineda M, Armstrong J. Characterization of large deletions of the MECP2 gene in Rett syndrome patients by gene dosage analysis. Mol Genet Genomic Med 2019; 7:e793. [PMID: 31206249 PMCID: PMC6687651 DOI: 10.1002/mgg3.793] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 01/24/2019] [Accepted: 05/16/2019] [Indexed: 12/31/2022] Open
Abstract
Background Rett syndrome (RTT) is a developmental disorder with an early onset and X‐linked dominant inheritance pattern. It is first recognized in infancy and is seen almost always in girls, but it may be seen in boys on rare occasions. Typical RTT is caused by de novo mutations of the gene MECP2 (OMIM*300005), and atypical forms of RTT can be caused by mutations of the CDKL5 (OMIM*300203) and FOXG1 (OMIM*164874) genes. Methods Approximately 5% of the mutations detected in MECP2 are large rearrangements that range from exons to the entire gene. Here, we have characterized the deletions detected by multiplex ligation‐dependent probe amplification (MLPA) in the gene MECP2 of 21 RTT patients. Breakpoints were delineated by DNA‐qPCR until the amplification of the deleted allele by long‐PCR was possible. Results This methodology enabled us to characterize deletions ranging from 1,235 bp to 85 kb, confirming the partial or total deletion of the MECP2 gene in all these patients. Additionally, our cases support the evidence claiming that most of these breakpoints occur in some restricted regions of the MECP2 gene. Conclusion These molecular data together with the clinical information enable us to propose a genotype–phenotype correlation, which is essential for providing genetic counseling.
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Affiliation(s)
- Silvia Vidal
- Sant Joan de Déu Research Foundation, Barcelona, Spain.,Sant Joan de Déu Research Institute (IRSJD), Hospital Sant Joan de Déu, Esplugues de Lobregat (Barcelona), Spain
| | - Ainhoa Pascual-Alonso
- Sant Joan de Déu Research Foundation, Barcelona, Spain.,Sant Joan de Déu Research Institute (IRSJD), Hospital Sant Joan de Déu, Esplugues de Lobregat (Barcelona), Spain
| | - Marc Rabaza-Gairí
- Sant Joan de Déu Research Foundation, Barcelona, Spain.,Sant Joan de Déu Research Institute (IRSJD), Hospital Sant Joan de Déu, Esplugues de Lobregat (Barcelona), Spain
| | - Edgar Gerotina
- Sant Joan de Déu Research Foundation, Barcelona, Spain.,Sant Joan de Déu Research Institute (IRSJD), Hospital Sant Joan de Déu, Esplugues de Lobregat (Barcelona), Spain
| | - Nuria Brandi
- Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Paola Pacheco
- Molecular and Genetics Medicine Section, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Clara Xiol
- Sant Joan de Déu Research Foundation, Barcelona, Spain.,Sant Joan de Déu Research Institute (IRSJD), Hospital Sant Joan de Déu, Esplugues de Lobregat (Barcelona), Spain
| | - Mercè Pineda
- Sant Joan de Déu Research Foundation, Barcelona, Spain
| | | | - Judith Armstrong
- Sant Joan de Déu Research Institute (IRSJD), Hospital Sant Joan de Déu, Esplugues de Lobregat (Barcelona), Spain.,Molecular and Genetics Medicine Section, Hospital Sant Joan de Déu, Barcelona, Spain.,CIBER-ER (Biomedical Network Research Center for Rare Diseases), Instituto de Salud Carlos III, Madrid, Spain
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Lauer S, Gresham D. An evolving view of copy number variants. Curr Genet 2019; 65:1287-1295. [PMID: 31076843 DOI: 10.1007/s00294-019-00980-0] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 04/17/2019] [Accepted: 04/20/2019] [Indexed: 01/08/2023]
Abstract
Copy number variants (CNVs) are regions of the genome that vary in integer copy number. CNVs, which comprise both amplifications and deletions of DNA sequence, have been identified across all domains of life, from bacteria and archaea to plants and animals. CNVs are an important source of genetic diversity, and can drive rapid adaptive evolution and progression of heritable and somatic human diseases, such as cancer. However, despite their evolutionary importance and clinical relevance, CNVs remain understudied compared to single-nucleotide variants (SNVs). This is a consequence of the inherent difficulties in detecting CNVs at low-to-intermediate frequencies in heterogeneous populations of cells. Here, we discuss molecular methods used to detect CNVs, the limitations associated with using these techniques, and the application of new and emerging technologies that present solutions to these challenges. The goal of this short review and perspective is to highlight aspects of CNV biology that are understudied and define avenues for further research that address specific gaps in our knowledge of these complex alleles. We describe our recently developed method for CNV detection in which a fluorescent gene functions as a single-cell CNV reporter and present key findings from our evolution experiments in Saccharomyces cerevisiae. Using a CNV reporter, we found that CNVs are generated at a high rate and undergo selection with predictable dynamics across independently evolving replicate populations. Many CNVs appear to be generated through DNA replication-based processes that are mediated by the presence of short, interrupted, inverted-repeat sequences. Our results have important implications for the role of CNVs in evolutionary processes and the molecular mechanisms that underlie CNV formation. We discuss the possible extension of our method to other applications, including tracking the dynamics of CNVs in models of human tumors.
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Affiliation(s)
- Stephanie Lauer
- Institute for Systems Genetics, New York University Langone Health, New York, NY, USA
| | - David Gresham
- Center for Genomics and System Biology, Department of Biology, New York University, New York, NY, USA.
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Epigenetic Components of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Uncover Potential Transposable Element Activation. Clin Ther 2019; 41:675-698. [PMID: 30910331 DOI: 10.1016/j.clinthera.2019.02.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 02/02/2019] [Accepted: 02/13/2019] [Indexed: 12/19/2022]
Abstract
PURPOSE Studies to determine epigenetic changes associated with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) remain scarce; however, current evidence clearly shows that methylation patterns of genomic DNA and noncoding RNA profiles of immune cells differ between patients and healthy subjects, suggesting an active role of these epigenetic mechanisms in the disease. The present study compares and contrasts the available ME/CFS epigenetic data in an effort to evidence overlapping pathways capable of explaining at least some of the dysfunctional immune parameters linked to this disease. METHODS A systematic search of the literature evaluating the ME/CFS epigenome landscape was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria. Differential DNA methylation and noncoding RNA differential expression patterns associated with ME/CFS were used to screen for the presence of transposable elements using the Dfam browser, a search program nurtured with the Repbase repetitive sequence database and the RepeatMasker annotation tool. FINDINGS Unexpectedly, particular associations of transposable elements and ME/CFS epigenetic hallmarks were uncovered. A model for the disease emerged involving transcriptional induction of endogenous dormant transposons and structured cellular RNA interactions, triggering the activation of the innate immune system without a concomitant active infection. IMPLICATIONS Repetitive sequence filters (ie, RepeatMasker) should be avoided when analyzing transcriptomic data to assess the potential participation of repetitive sequences ("junk repetitive DNA"), representing >45% of the human genome, in the onset and evolution of ME/CFS. In addition, transposable element screenings aimed at designing cost-effective, focused empirical assays that can confirm or disprove the suspected involvement of transposon transcriptional activation in this disease, following the pilot strategy presented here, will require databases gathering large ME/CFS epigenetic datasets.
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Lupski JR. 2018 Victor A. McKusick Leadership Award: Molecular Mechanisms for Genomic and Chromosomal Rearrangements. Am J Hum Genet 2019; 104:391-406. [PMID: 30849326 PMCID: PMC6407437 DOI: 10.1016/j.ajhg.2018.12.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Affiliation(s)
- James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, and Texas Children's Hospital, Houston, TX 77030, USA.
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Complex structural variants in Mendelian disorders: identification and breakpoint resolution using short- and long-read genome sequencing. Genome Med 2018; 10:95. [PMID: 30526634 PMCID: PMC6286558 DOI: 10.1186/s13073-018-0606-6] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 11/23/2018] [Indexed: 12/19/2022] Open
Abstract
Background Studies have shown that complex structural variants (cxSVs) contribute to human genomic variation and can cause Mendelian disease. We aimed to identify cxSVs relevant to Mendelian disease using short-read whole-genome sequencing (WGS), resolve the precise variant configuration and investigate possible mechanisms of cxSV formation. Methods We performed short-read WGS and analysis of breakpoint junctions to identify cxSVs in a cohort of 1324 undiagnosed rare disease patients. Long-read WGS and gene expression analysis were used to resolve one case. Results We identified three pathogenic cxSVs: a de novo duplication-inversion-inversion-deletion affecting ARID1B, a de novo deletion-inversion-duplication affecting HNRNPU and a homozygous deletion-inversion-deletion affecting CEP78. Additionally, a de novo duplication-inversion-duplication overlapping CDKL5 was resolved by long-read WGS demonstrating the presence of both a disrupted and an intact copy of CDKL5 on the same allele, and gene expression analysis showed both parental alleles of CDKL5 were expressed. Breakpoint analysis in all the cxSVs revealed both microhomology and longer repetitive elements. Conclusions Our results corroborate that cxSVs cause Mendelian disease, and we recommend their consideration during clinical investigations. We show that resolution of breakpoints can be critical to interpret pathogenicity and present evidence of replication-based mechanisms in cxSV formation. Electronic supplementary material The online version of this article (10.1186/s13073-018-0606-6) contains supplementary material, which is available to authorized users.
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Nazaryan-Petersen L, Eisfeldt J, Pettersson M, Lundin J, Nilsson D, Wincent J, Lieden A, Lovmar L, Ottosson J, Gacic J, Mäkitie O, Nordgren A, Vezzi F, Wirta V, Käller M, Hjortshøj TD, Jespersgaard C, Houssari R, Pignata L, Bak M, Tommerup N, Lundberg ES, Tümer Z, Lindstrand A. Replicative and non-replicative mechanisms in the formation of clustered CNVs are indicated by whole genome characterization. PLoS Genet 2018; 14:e1007780. [PMID: 30419018 PMCID: PMC6258378 DOI: 10.1371/journal.pgen.1007780] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 11/26/2018] [Accepted: 10/23/2018] [Indexed: 01/25/2023] Open
Abstract
Clustered copy number variants (CNVs) as detected by chromosomal microarray analysis (CMA) are often reported as germline chromothripsis. However, such cases might need further investigations by massive parallel whole genome sequencing (WGS) in order to accurately define the underlying complex rearrangement, predict the occurrence mechanisms and identify additional complexities. Here, we utilized WGS to delineate the rearrangement structure of 21 clustered CNV carriers first investigated by CMA and identified a total of 83 breakpoint junctions (BPJs). The rearrangements were further sub-classified depending on the patterns observed: I) Cases with only deletions (n = 8) often had additional structural rearrangements, such as insertions and inversions typical to chromothripsis; II) cases with only duplications (n = 7) or III) combinations of deletions and duplications (n = 6) demonstrated mostly interspersed duplications and BPJs enriched with microhomology. In two cases the rearrangement mutational signatures indicated both a breakage-fusion-bridge cycle process and haltered formation of a ring chromosome. Finally, we observed two cases with Alu- and LINE-mediated rearrangements as well as two unrelated individuals with seemingly identical clustered CNVs on 2p25.3, possibly a rare European founder rearrangement. In conclusion, through detailed characterization of the derivative chromosomes we show that multiple mechanisms are likely involved in the formation of clustered CNVs and add further evidence for chromoanagenesis mechanisms in both “simple” and highly complex chromosomal rearrangements. Finally, WGS characterization adds positional information, important for a correct clinical interpretation and deciphering mechanisms involved in the formation of these rearrangements. Clustered copy number variants (CNVs) as detected by chromosomal microarray are often reported as germline chromoanagenesis. However, such cases might need further investigation by whole genome sequencing (WGS) to accurately resolve the complexity of the structural rearrangement and predict underlying mutational mechanisms. Here, we used WGS to characterize 83 breakpoint-junctions (BPJs) from 21 clustered CNVs, and outlined the rearrangement connectivity pictures. Cases with only deletions often had additional structural rearrangements, such as insertions and inversions, which could be a result of multiple double-strand DNA breaks followed by non-homologous repair, typical to chromothripsis. In contrast, cases with only duplications or combinations of deletions and duplications, demonstrated mostly interspersed duplications and BPJs enriched with microhomology, consistent with serial template switching during DNA replication (chromoanasynthesis). Only two rearrangements were repeat mediated. In aggregate, our results suggest that multiple CNVs clustered on a single chromosome may arise through either chromothripsis or chromoanasynthesis.
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Affiliation(s)
- Lusine Nazaryan-Petersen
- Wilhelm Johannsen Center for Functional Genome Research, Institute of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Eisfeldt
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Science for Life Laboratory, Karolinska Institutet Science Park, Solna, Sweden
| | - Maria Pettersson
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
| | - Johanna Lundin
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Daniel Nilsson
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Science for Life Laboratory, Karolinska Institutet Science Park, Solna, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Josephine Wincent
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Agne Lieden
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Lovisa Lovmar
- Department of Clinical Genetics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jesper Ottosson
- Department of Clinical Genetics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jelena Gacic
- Department of Clinical Genetics, Linköping University Hospital, Linköping, Sweden
| | - Outi Mäkitie
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Institute of Genetics, Helsinki, Finland
| | - Ann Nordgren
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Francesco Vezzi
- SciLifeLab, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Valtteri Wirta
- SciLifeLab, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
- SciLifeLab, Department of Microbiology, Tumor and Cell biology, Karolinska Institutet, Stockholm, Sweden
| | - Max Käller
- SciLifeLab, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
- SciLifeLab, Department of Microbiology, Tumor and Cell biology, Karolinska Institutet, Stockholm, Sweden
| | - Tina Duelund Hjortshøj
- Kennedy Center, Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Cathrine Jespersgaard
- Kennedy Center, Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Rayan Houssari
- Kennedy Center, Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Laura Pignata
- Kennedy Center, Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Mads Bak
- Wilhelm Johannsen Center for Functional Genome Research, Institute of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Niels Tommerup
- Wilhelm Johannsen Center for Functional Genome Research, Institute of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Elisabeth Syk Lundberg
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Zeynep Tümer
- Kennedy Center, Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- * E-mail: (AL); (ZT)
| | - Anna Lindstrand
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- * E-mail: (AL); (ZT)
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50
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Szafranski P, Kośmider E, Liu Q, Karolak JA, Currie L, Parkash S, Kahler SG, Roeder E, Littlejohn RO, DeNapoli TS, Shardonofsky FR, Henderson C, Powers G, Poisson V, Bérubé D, Oligny L, Michaud JL, Janssens S, De Coen K, Van Dorpe J, Dheedene A, Harting MT, Weaver MD, Khan AM, Tatevian N, Wambach J, Gibbs KA, Popek E, Gambin A, Stankiewicz P. LINE- and Alu-containing genomic instability hotspot at 16q24.1 associated with recurrent and nonrecurrent CNV deletions causative for ACDMPV. Hum Mutat 2018; 39:1916-1925. [PMID: 30084155 DOI: 10.1002/humu.23608] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 08/01/2018] [Accepted: 08/02/2018] [Indexed: 01/20/2023]
Abstract
Transposable elements modify human genome by inserting into new loci or by mediating homology-, microhomology-, or homeology-driven DNA recombination or repair, resulting in genomic structural variation. Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) is a rare lethal neonatal developmental lung disorder caused by point mutations or copy-number variant (CNV) deletions of FOXF1 or its distant tissue-specific enhancer. Eighty-five percent of 45 ACDMPV-causative CNV deletions, of which junctions have been sequenced, had at least one of their two breakpoints located in a retrotransposon, with more than half of them being Alu elements. We describe a novel ∼35 kb-large genomic instability hotspot at 16q24.1, involving two evolutionarily young LINE-1 (L1) elements, L1PA2 and L1PA3, flanking AluY, two AluSx, AluSx1, and AluJr elements. The occurrence of L1s at this location coincided with the branching out of the Homo-Pan-Gorilla clade, and was preceded by the insertion of AluSx, AluSx1, and AluJr. Our data show that, in addition to mediating recurrent CNVs, L1 and Alu retrotransposons can predispose the human genome to formation of variably sized CNVs, both of clinical and evolutionary relevance. Nonetheless, epigenetic or other genomic features of this locus might also contribute to its increased instability.
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Affiliation(s)
- Przemyslaw Szafranski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Ewelina Kośmider
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland
| | - Qian Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Justyna A Karolak
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Department of Genetics and Pharmaceutical Microbiology, Poznan University of Medical Sciences, Poznan, Poland
| | - Lauren Currie
- Maritime Medical Genetics Service, IWK Health Centre, Halifax, Canada
| | - Sandhya Parkash
- Maritime Medical Genetics Service, IWK Health Centre, Halifax, Canada
| | - Stephen G Kahler
- Section of Genetics and Metabolism, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Elizabeth Roeder
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Department of Pediatrics, Baylor College of Medicine, San Antonio, Texas
| | | | - Thomas S DeNapoli
- Department of Pathology, Children's Hospital of San Antonio, San Antonio, Texas
| | - Felix R Shardonofsky
- Pediatric Pulmonary Center, Children's Hospital of San Antonio, San Antonio, Texas
| | - Cody Henderson
- Department of Pediatrics, Baylor College of Medicine, San Antonio, Texas.,Neonatal-Perinatal Medicine, Children's Hospital of San Antonio, San Antonio, Texas
| | - George Powers
- Department of Pediatrics, Baylor College of Medicine, San Antonio, Texas.,Neonatal-Perinatal Medicine, Children's Hospital of San Antonio, San Antonio, Texas
| | | | | | | | | | - Sandra Janssens
- Center for Medical Genetics, Ghent University, Ghent, Belgium
| | - Kris De Coen
- Department of Neonatal Intensive Care, Ghent University, Ghent, Belgium
| | - Jo Van Dorpe
- Department of Pathology, Ghent University, Ghent, Belgium
| | | | | | | | - Amir M Khan
- McGovern Medical School at UTHealth, Houston, Texas
| | | | - Jennifer Wambach
- Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Kathleen A Gibbs
- Children's Hospital of Philadelphia, and University of Pennsylvania, Philadelphia, Pennsylvania
| | - Edwina Popek
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas
| | - Anna Gambin
- Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland
| | - Paweł Stankiewicz
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
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