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Russo ML, Sousa AMM, Bhattacharyya A. Consequences of trisomy 21 for brain development in Down syndrome. Nat Rev Neurosci 2024; 25:740-755. [PMID: 39379691 DOI: 10.1038/s41583-024-00866-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2024] [Indexed: 10/10/2024]
Abstract
The appearance of cognitive deficits and altered brain morphology in newborns with Down syndrome (DS) suggests that these features are driven by disruptions at the earliest stages of brain development. Despite its high prevalence and extensively characterized cognitive phenotypes, relatively little is known about the cellular and molecular mechanisms that drive the changes seen in DS. Recent technical advances, such as single-cell omics and the development of induced pluripotent stem cell (iPSC) models of DS, now enable in-depth analyses of the biochemical and molecular drivers of altered brain development in DS. Here, we review the current state of knowledge on brain development in DS, focusing primarily on data from human post-mortem brain tissue. We explore the biological mechanisms that have been proposed to lead to intellectual disability in DS, assess the extent to which data from studies using iPSC models supports these hypotheses, and identify current gaps in the field.
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Affiliation(s)
- Matthew L Russo
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - André M M Sousa
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Anita Bhattacharyya
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
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2
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Wohlfert AJ, Phares J, Granholm AC. The mTOR Pathway: A Common Link Between Alzheimer's Disease and Down Syndrome. J Clin Med 2024; 13:6183. [PMID: 39458132 PMCID: PMC11508835 DOI: 10.3390/jcm13206183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Revised: 10/12/2024] [Accepted: 10/15/2024] [Indexed: 10/28/2024] Open
Abstract
Down syndrome (DS) is a chromosomal condition that causes many systemic dysregulations, leading to several possible age-related diseases including Alzheimer's disease (AD). This may be due to the triplication of the Amyloid precursor protein (APP) gene or other alterations in mechanistic pathways, such as the mTOR pathway. Impairments to upstream regulators of mTOR, such as insulin, PI3K/AKT, AMPK, and amino acid signaling, have been linked to amyloid beta plaques (Aβ) and neurofibrillary tangles (NFT), the most common AD pathologies. However, the mechanisms involved in the progression of pathology in human DS-related AD (DS-AD) are not fully investigated to date. Recent advancements in omics platforms are uncovering new insights into neurodegeneration. Genomics, spatial transcriptomics, proteomics, and metabolomics are novel methodologies that provide more data in greater detail than ever before; however, these methods have not been used to analyze the mTOR pathways in connection to DS-AD. Using these new techniques can unveil unexpected insights into pathological cellular mechanisms through an unbiased approach.
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Affiliation(s)
- Abigail J. Wohlfert
- Department of Modern Human Anatomy and Cell & Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - Jeremiah Phares
- Department of Neurosurgery, University of Colorado Anschutz Medical Center, Aurora, CO 80045, USA;
| | - Ann-Charlotte Granholm
- Department of Neurosurgery, University of Colorado Anschutz Medical Center, Aurora, CO 80045, USA;
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Costa GRC, Jorente J, Pontes LB, Viguetti Campos NL, Marques-de-Faria AP, Vieira TP, Steiner CE. Multiple Aneuploidy: First Report of a Patient Presenting with a Karyotype 45,X/48,XXX,+21. Cytogenet Genome Res 2024; 164:103-109. [PMID: 39068925 DOI: 10.1159/000540587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 07/25/2024] [Indexed: 07/30/2024] Open
Abstract
INTRODUCTION The dual diagnosis of Down syndrome and Turner syndrome in the same patient was clinically identified in the early 1950s before the development of karyotyping techniques. After that, several authors reported anecdotal patients and/or reviewed series of Down-Turner double aneuploidies due to a regular 46,X,+21 constitution or different combinations of abnormal cell lines. In such cases, the most typical presentation encompasses the female sex, Down syndrome phenotype, and chromosomal mosaicism. CASE PRESENTATION Here we report a female patient presenting with short stature, dysmorphic features, developmental delay, and learning disabilities, whose karyotype revealed a previously undescribed 45,X[47]/48,XXX,+21[3] constitution. CONCLUSION This is the first case encompassing these three aneuploidies together and, contrary to most previous reports, exhibiting a predominantly Turner syndrome phenotype associated with developmental delay.
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Affiliation(s)
- Gabriela Roldão Correia Costa
- Genética Médica e Medicina Genômica, Departamento de Medicina Translacional, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (Unicamp), Campinas, Brazil
| | - Josep Jorente
- Genética Médica e Medicina Genômica, Departamento de Medicina Translacional, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (Unicamp), Campinas, Brazil
| | - Larissa Bretanha Pontes
- Genética Médica e Medicina Genômica, Departamento de Medicina Translacional, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (Unicamp), Campinas, Brazil
| | - Nilma Lúcia Viguetti Campos
- Genética Médica e Medicina Genômica, Departamento de Medicina Translacional, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (Unicamp), Campinas, Brazil
| | - Antonia Paula Marques-de-Faria
- Genética Médica e Medicina Genômica, Departamento de Medicina Translacional, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (Unicamp), Campinas, Brazil
| | - Társis Paiva Vieira
- Genética Médica e Medicina Genômica, Departamento de Medicina Translacional, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (Unicamp), Campinas, Brazil
| | - Carlos Eduardo Steiner
- Genética Médica e Medicina Genômica, Departamento de Medicina Translacional, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (Unicamp), Campinas, Brazil
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Rubenstein E, Tewolde S, Skotko BG, Michals A, Fortea J. Occurrence of mosaic Down syndrome and prevalence of co-occurring conditions in Medicaid enrolled adults, 2016-2019. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2024:e32097. [PMID: 38925597 DOI: 10.1002/ajmg.c.32097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND Mosaic Down syndrome is a triplication of chromosome 21 in some but not all cells. Little is known about the epidemiology of mosaic Down syndrome. We described prevalence of mosaic Down syndrome and the co-occurrence of common chronic conditions in 94,533 Medicaid enrolled adults with any Down syndrome enrolled from 2016 to 2019. METHODS We identified mosaic Down syndrome using the International Classification of Diseases and Related Health Problems, tenth edition code for mosaic Down syndrome and compared to those with nonmosaic Down syndrome codes. We identified chronic conditions using established algorithms and compared prevalence by mosaicism. RESULTS In total, 1966 (2.08%) had claims for mosaic Down syndrome. Mosaicism did not differ by sex or race/ethnicity with similar age distributions. Individuals with mosaicism were more likely to present with autism (13.9% vs. 9.6%) and attention deficit hyperactivity disorder (17.7% vs. 14.0%) compared to individuals without mosaicism. In total, 22.3% of those with mosaic Down syndrome and 21.5% of those without mosaicism had claims for Alzheimer's dementia (Prevalence difference: 0.8; 95% Confidence interval: -1.0, 2.8). The mosaic group had 1.19 times the hazard of Alzheimer's dementia compared to the nonmosaic group (95% CI: 1.0, 1.3). DISCUSSION Mosaicism may be associated with a higher susceptibility to certain neurodevelopmental and neurodegenerative conditions, including Alzheimer's dementia. Our findings challenge previous assumptions about its protective effects in Down syndrome. Further research is necessary to explore these associations in greater depth.
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Affiliation(s)
- Eric Rubenstein
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Salina Tewolde
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Brian G Skotko
- Down Syndrome Program, Division of Medical Genetics, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Amy Michals
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu Sant Pau, Biomedical Research Institute Sant Pau, Barcelona, Spain
- Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
- Instituto de Investigación - Hospital de la Santa Cruz y San Pablo, Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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5
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Brown RC, D’Aguilar A, Hurshman Q, NailorZee R, York TP, Capone G, Amstadter AB, Jackson-Cook C. Internalizing Psychiatric Symptoms in People with Mosaicism for Trisomy 21. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.19.24309168. [PMID: 38946966 PMCID: PMC11213060 DOI: 10.1101/2024.06.19.24309168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
People with mosaicism for trisomy 21 have been shown to exhibit the many of same phenotypic traits present in people with non-mosaic Down syndrome, but with varying symptom severity. However, the behavioral phenotype of people with mosaic Down syndrome (mDS) has not been well characterized. This study aimed to examine the prevalence of self-report and caregiver-report symptoms of depression and anxiety among a sample of 62 participants with mDS aged 12 - 46, and assess their association with the percentage of trisomy 21 in blood and/or buccal mucosa cells. The results showed that 53% of the participants reported clinically significant depression symptoms and 76% reported clinically significant anxiety symptoms. No clear associations were observed between the percentage of trisomic cells and total anxiety or depression, but a significant positive association between the proband-reported specific fears subscale and the percentage of trisomic cells in buccal specimens was detected (r = .43, p = .007). This study highlights the high occurrence of depression and anxiety symptoms in individuals with mDS and the need for routine assessment to optimize their care. It also demonstrates the ability of people with mDS to complete these evaluations, thereby supporting their inclusion in research studies/clinical trials.
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Affiliation(s)
- Ruth C. Brown
- Virginia Commonwealth University, Department of Psychiatry
| | | | - Quinn Hurshman
- Virginia Commonwealth University, Department of Human & Molecular Genetics
| | - Rebekah NailorZee
- Virginia Commonwealth University, Department of Human & Molecular Genetics
| | - Timothy P. York
- Virginia Commonwealth University, Department of Human & Molecular Genetics
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Sukreet S, Rafii MS, Rissman RA. From understanding to action: Exploring molecular connections of Down syndrome to Alzheimer's disease for targeted therapeutic approach. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12580. [PMID: 38623383 PMCID: PMC11016820 DOI: 10.1002/dad2.12580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 04/17/2024]
Abstract
Down syndrome (DS) is caused by a third copy of chromosome 21. Alzheimer's disease (AD) is a neurodegenerative condition characterized by the deposition of amyloid-beta (Aβ) plaques and neurofibrillary tangles in the brain. Both disorders have elevated Aβ, tau, dysregulated immune response, and inflammation. In people with DS, Hsa21 genes like APP and DYRK1A are overexpressed, causing an accumulation of amyloid and neurofibrillary tangles, and potentially contributing to an increased risk of AD. As a result, people with DS are a key demographic for research into AD therapeutics and prevention. The molecular links between DS and AD shed insights into the underlying causes of both diseases and highlight potential therapeutic targets. Also, using biomarkers for early diagnosis and treatment monitoring is an active area of research, and genetic screening for high-risk individuals may enable earlier intervention. Finally, the fundamental mechanistic parallels between DS and AD emphasize the necessity for continued research into effective treatments and prevention measures for DS patients at risk for AD. Genetic screening with customized therapy approaches may help the DS population in current clinical studies and future biomarkers.
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Affiliation(s)
- Sonal Sukreet
- Department of NeurosciencesUniversity of California‐San DiegoLa JollaCaliforniaUSA
| | - Michael S. Rafii
- Department of Neurology, Alzheimer's Therapeutic Research InstituteKeck School of Medicine of the University of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Robert A. Rissman
- Department of NeurosciencesUniversity of California‐San DiegoLa JollaCaliforniaUSA
- Department Physiology and Neuroscience, Alzheimer’s Therapeutic Research InstituteKeck School of Medicine of the University of Southern CaliforniaSan DiegoCaliforniaUSA
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Trevisan V, Meroni A, Leoni C, Sirchia F, Politano D, Fiandrino G, Giorgio V, Rigante D, Limongelli D, Perri L, Sforza E, Leonardi F, Viscogliosi G, Contaldo I, Orteschi D, Proietti L, Zampino G, Onesimo R. Trisomy 22 Mosaicism from Prenatal to Postnatal Findings: A Case Series and Systematic Review of the Literature. Genes (Basel) 2024; 15:346. [PMID: 38540405 PMCID: PMC10970670 DOI: 10.3390/genes15030346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 02/28/2024] [Accepted: 03/04/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Among aneuploidies compatible with life, trisomy 22 mosaicism is extremely rare, and only about 25 postnatal and 18 prenatal cases have been described in the literature so far. The condition is mainly characterized by facial and body asymmetry, cardiac heart defects, facial dysmorphisms, growth failure, delayed puberty, and variable degrees of neurodevelopmental delay. PROBLEM The scattered information regarding the condition and the dearth of data on its natural history and developmental outcomes restrict genetic counseling, particularly in prenatal settings. Moreover, a prompt diagnosis is frequently delayed by the negative selection of trisomic cells in blood, with mosaicism percentage varying among tissues, which often entails the need for further testing. Purpose/topic: The aim of our work is to provide assistance in prenatal and postnatal genetic counseling by systematically delineating the current knowledge of the condition. This entails defining the prenatal and postnatal characteristics of the condition and presenting novel data from three cases, both prenatally and postnatally. Additionally, we report the developmental outcomes observed in two new patients.
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Affiliation(s)
- Valentina Trevisan
- Centre for Rare Diseases and Birth Defects, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (C.L.); (V.G.); (D.L.); (L.P.); (G.V.); (G.Z.); (R.O.)
- Genomic Medicine, Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, 00168 Rome, Italy; (F.L.); (D.O.)
| | - Anna Meroni
- Human Genetics, Molecular Medicine Department, University of Pavia and IRCCS Fondazione Policlinico San Matteo, 27100 Pavia, Italy; (A.M.); (F.S.)
| | - Chiara Leoni
- Centre for Rare Diseases and Birth Defects, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (C.L.); (V.G.); (D.L.); (L.P.); (G.V.); (G.Z.); (R.O.)
| | - Fabio Sirchia
- Human Genetics, Molecular Medicine Department, University of Pavia and IRCCS Fondazione Policlinico San Matteo, 27100 Pavia, Italy; (A.M.); (F.S.)
| | - Davide Politano
- Department of Brain and Behavioral Sciences, University of Pavia, IRCCS Mondino, 27100 Pavia, Italy;
| | - Giacomo Fiandrino
- Department of Molecular Medicine, Anatomic Pathology Unit, University of Pavia and Fondazione IRCCS San Matteo Hospital, 27100 Pavia, Italy;
| | - Valentina Giorgio
- Centre for Rare Diseases and Birth Defects, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (C.L.); (V.G.); (D.L.); (L.P.); (G.V.); (G.Z.); (R.O.)
| | - Donato Rigante
- Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, 00168 Rome, Italy;
- Child Neurology and Psychiatry Unit, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (E.S.); (I.C.)
| | - Domenico Limongelli
- Centre for Rare Diseases and Birth Defects, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (C.L.); (V.G.); (D.L.); (L.P.); (G.V.); (G.Z.); (R.O.)
| | - Lucrezia Perri
- Centre for Rare Diseases and Birth Defects, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (C.L.); (V.G.); (D.L.); (L.P.); (G.V.); (G.Z.); (R.O.)
| | - Elisabetta Sforza
- Child Neurology and Psychiatry Unit, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (E.S.); (I.C.)
| | - Francesca Leonardi
- Genomic Medicine, Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, 00168 Rome, Italy; (F.L.); (D.O.)
| | - Germana Viscogliosi
- Centre for Rare Diseases and Birth Defects, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (C.L.); (V.G.); (D.L.); (L.P.); (G.V.); (G.Z.); (R.O.)
| | - Ilaria Contaldo
- Child Neurology and Psychiatry Unit, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (E.S.); (I.C.)
| | - Daniela Orteschi
- Genomic Medicine, Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, 00168 Rome, Italy; (F.L.); (D.O.)
- Genetic Unit, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Luca Proietti
- Department of Orthopaedics and Traumatology, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy;
| | - Giuseppe Zampino
- Centre for Rare Diseases and Birth Defects, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (C.L.); (V.G.); (D.L.); (L.P.); (G.V.); (G.Z.); (R.O.)
- Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, 00168 Rome, Italy;
| | - Roberta Onesimo
- Centre for Rare Diseases and Birth Defects, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy; (C.L.); (V.G.); (D.L.); (L.P.); (G.V.); (G.Z.); (R.O.)
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O'Brien A, Macfarlane S, Sommerlad M, Schirwani S. Mosaic Muir Torre Syndrome: Keratoacanthoma as a Piece of the Puzzle. Am J Dermatopathol 2024; 46:162-166. [PMID: 38170727 DOI: 10.1097/dad.0000000000002612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
ABSTRACT Lynch syndrome is an inherited condition, which increases the risk of numerous visceral malignancies and cutaneous tumors such as keratoacanthomas and sebaceous tumors. It is typically identified by immunohistochemistry of tissue taken from tumors or through genetic testing with next-generation sequencing. Diagnosing Lynch syndrome becomes more complex when the individual is mosaic for the relevant pathogenic variant. There are very few cases of this reported in the medical literature. It is even more unusual for the diagnosis to be made based on testing of a keratoacanthoma lesion. We report a case where immunohistochemistry of a keratoacanthoma helped make a diagnosis of mosaic Lynch syndrome. We will explore how mosaicism should be considered when a phenotype is strong, even if next-generation sequencing reports no pathogenic or likely pathogenic variant and how lesions such as keratoacanthomas can have a role in the early detection and treatment of future malignancies.
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Affiliation(s)
- Amber O'Brien
- Faculty of Medicine, University of Southampton, Southampton, England
| | | | - Matthew Sommerlad
- Dermatology Department
- Pathology Department, University Hospital Southampton NHS Foundation Trust, Southampto, England
| | - Schaida Schirwani
- Dermatology Department
- Wessex Clinical Genetics Service, Southampton, England; and
- Human Development & Health, Faculty of Medicine, University of Southampton, Institute of Developmental Sciences Building, Southampton, England
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9
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Abukhaled Y, Hatab K, Awadhalla M, Hamdan H. Understanding the genetic mechanisms and cognitive impairments in Down syndrome: towards a holistic approach. J Neurol 2024; 271:87-104. [PMID: 37561187 PMCID: PMC10769995 DOI: 10.1007/s00415-023-11890-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/15/2023] [Accepted: 07/17/2023] [Indexed: 08/11/2023]
Abstract
The most common genetic cause of intellectual disability is Down syndrome (DS), trisomy 21. It commonly results from three copies of human chromosome 21 (HC21). There are no mutations or deletions involved in DS. Instead, the phenotype is caused by altered transcription of the genes on HC21. These transcriptional variations are responsible for a myriad of symptoms affecting every organ system. A very debilitating aspect of DS is intellectual disability (ID). Although tremendous advances have been made to try and understand the underlying mechanisms of ID, there is a lack of a unified, holistic view to defining the cause and managing the cognitive impairments. In this literature review, we discuss the mechanisms of neuronal over-inhibition, abnormal morphology, and other genetic factors in contributing to the development of ID in DS patients and to gain a holistic understanding of ID in DS patients. We also highlight potential therapeutic approaches to improve the quality of life of DS patients.
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Affiliation(s)
- Yara Abukhaled
- Department of Physiology and Immunology, College of Medicine, and Health Sciences, Khalifa University, 127788, Abu Dhabi, United Arab Emirates
| | - Kenana Hatab
- Department of Physiology and Immunology, College of Medicine, and Health Sciences, Khalifa University, 127788, Abu Dhabi, United Arab Emirates
| | - Mohammad Awadhalla
- Department of Physiology and Immunology, College of Medicine, and Health Sciences, Khalifa University, 127788, Abu Dhabi, United Arab Emirates
| | - Hamdan Hamdan
- Department of Physiology and Immunology, College of Medicine, and Health Sciences, Khalifa University, 127788, Abu Dhabi, United Arab Emirates.
- Healthcare Engineering Innovation Center (HEIC), Khalifa University, 127788, Abu Dhabi, United Arab Emirates.
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10
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Kerwin AJ, Lop AL, Vicente K, Weiler T, Kana SL. Testing With Intent in Mosaic Conditions: A Case-Based Review. Cureus 2023; 15:e49644. [PMID: 38161893 PMCID: PMC10755638 DOI: 10.7759/cureus.49644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024] Open
Abstract
Recent advancements in genetic testing have revealed cases of mosaicism, demonstrating the phenomenon may be more common than once thought. Broadly defined, mosaicism describes the presence of two genotypically different cell lineages within the same organism. This can arise from small mutations or errors in chromosome segregation, as early as in gametes, before or after fertilization. Mosaicism is directly responsible for many conditions that present in a wide range of tissues, with the presence of the mutation or genetic abnormality following a tissue-dependent pattern. This makes it possible for patients to test negative for a condition using a standard tissue sample while harboring the variant in a different tissue. Understanding the timing and mechanisms of mosaic conditions will aid in targeted testing that is more appropriate to identify a pathogenic variant. This targeted testing should reduce the length of a patient's diagnostic odyssey and provide a better understanding of the chances of passing on their variant to their offspring, thereby allowing for more accurate genetic counseling. We illustrate this phenomenon with two cases: one of Pallister-Killian syndrome and the other of tuberous sclerosis complex. Both patients had increased time to diagnosis because of difficulties in identifying genetic variants in tested tissues. Beyond just increased time to diagnosis, we illustrate that mosaic conditions can present as less severe and more variable than the germline condition and how specific germ layers may be affected by the variant. Knowing which germ layers may be affected by the variant can give clinicians a clue as to which tissues may need to be tested to yield the most accurate result.
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Affiliation(s)
- Andrew J Kerwin
- Department of Genetics, Florida International University, Herbert Wertheim College of Medicine, Miami, USA
| | - Ana L Lop
- Department of Genetics, Florida International University, Herbert Wertheim College of Medicine, Miami, USA
| | - Kristyn Vicente
- Department of Genetics, New York Medical College, Valhalla, USA
| | - Tracey Weiler
- Department of Medical Education, Florida International University, Herbert Wertheim College of Medicine, Miami, USA
| | - Sajel L Kana
- Division of Clinical Genetics, Genomics, and Metabolism, Nicklaus Children's Hospital, Miami, USA
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11
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Viotti M, Greco E, Grifo JA, Madjunkov M, Librach C, Cetinkaya M, Kahraman S, Yakovlev P, Kornilov N, Corti L, Biricik A, Cheng EH, Su CY, Lee MS, Bonifacio MD, Cooper AR, Griffin DK, Tran DY, Kaur P, Barnes FL, Zouves CG, Victor AR, Besser AG, Madjunkova S, Spinella F. Chromosomal, gestational, and neonatal outcomes of embryos classified as a mosaic by preimplantation genetic testing for aneuploidy. Fertil Steril 2023; 120:957-966. [PMID: 37532168 DOI: 10.1016/j.fertnstert.2023.07.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 07/25/2023] [Accepted: 07/25/2023] [Indexed: 08/04/2023]
Abstract
OBJECTIVE To understand the clinical risks associated with the transfer of embryos classified as a mosaic using preimplantation genetic testing for aneuploidy. DESIGN Analysis of data collected between 2017 and 2023. SETTING Multicenter. PATIENTS Patients of infertility treatment. INTERVENTION Comparison of pregnancies resulting from embryos classified as euploid or mosaic using the 20%-80% interval in chromosomal intermediate copy numbers to define a mosaic result. MAIN OUTCOME MEASURES Rates of spontaneous abortion, birth weight, length of gestation, incidence of birth defects, and chromosomal status during gestation. RESULTS Implanted euploid embryos had a significantly lower risk of spontaneous abortion compared with mosaic embryos (8.9% [n = 8,672; 95% confidence interval {CI95} 8.3, 9.5] vs. 22.2% [n = 914; CI95 19.6, 25.0]). Embryos with mosaicism affecting whole chromosomes (not segmental) had the highest risk of spontaneous abortion (27.6% [n = 395; CI95 23.2, 32.3]). Infants born from euploid, mosaic, and whole chromosome mosaic embryos had average birth weights and lengths of gestation that were not statistically different (3,118 g and 267 days [n = 488; CI95 3,067, 3,169, and 266, 268], 3052 g and 265 days [n = 488; CI95 2,993, 3,112, and 264,267], 3,159 g and 268 days [n = 194; CI95 3,070, 3,249, and 266,270], respectively). Out of 488 infants from mosaic embryo transfers (ETs), one had overt gross abnormalities as defined by the Centers for Disease Control and Prevention. Most prenatal tests performed on pregnancies from mosaic ETs had normal results, and only three pregnancies produced prenatal test results reflecting the mosaicism detected at the embryonic stage (3 out of 250, 1.2%; CI95 0.25, 3.5). CONCLUSION Although embryos classified as mosaic experience higher rates of miscarriage than euploid embryos (with a particularly high frequency shortly after implantation), infants born of mosaic ETs are similar to infants of euploid ETs. Prenatal testing indicates that mosaicism resolves during most pregnancies, although this process is not perfectly efficient. In a small percentage of cases, the mosaicism persists through gestation. These findings can serve as risk-benefit considerations for mosaic ETs in the fertility clinic.
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Affiliation(s)
- Manuel Viotti
- Zouves Foundation for Reproductive Medicine, Foster City, California; Kindlabs, Kindbody, New York, New York.
| | - Ermanno Greco
- Villa Mafalda, Center For Reproductive Medicine, Rome, Italy
| | - James A Grifo
- New York University Langone Fertility Center, New York, New York
| | - Mitko Madjunkov
- CReATe Fertility Centre, Toronto, Canada; Department of Obstetrics and Gynecology, University of Toronto, Toronto, Canada
| | - Clifford Librach
- CReATe Fertility Centre, Toronto, Canada; Department of Obstetrics and Gynecology, University of Toronto, Toronto, Canada; Institute of Medical Sciences and Department of Physiology, University of Toronto, Toronto, Canada
| | | | | | - Pavel Yakovlev
- Centre for Reproductive Medicine, Co.Ltd. "Next Generation Clinic," Moscow, Russia
| | - Nikolay Kornilov
- Centre for Reproductive Medicine, Co.Ltd. "Next Generation Clinic," Moscow, Russia; Centre for Reproductive Medicine, Co.Ltd. "Next Generation Clinic," St. Petersburg, Russia
| | - Laura Corti
- IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Anil Biricik
- Eurofins Genoma Group, Molecular Genetics Laboratories, Rome, Italy
| | | | | | - Maw-Sheng Lee
- Lee Women's Hospital, Taichung, Taiwan; Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | | | | | - Darren K Griffin
- School of Biosciences, University of Kent, Canterbury, United Kingdom
| | - Diane Y Tran
- Zouves Fertility Center, Foster City, California
| | - Purvi Kaur
- Zouves Fertility Center, Foster City, California
| | - Frank L Barnes
- Zouves Foundation for Reproductive Medicine, Foster City, California; Zouves Fertility Center, Foster City, California
| | - Christo G Zouves
- Zouves Foundation for Reproductive Medicine, Foster City, California; Zouves Fertility Center, Foster City, California
| | - Andrea R Victor
- School of Biosciences, University of Kent, Canterbury, United Kingdom; Zouves Fertility Center, Foster City, California; Reproductive Medicine Associates of Long Island, Melville, New York
| | - Andria G Besser
- New York University Langone Fertility Center, New York, New York
| | - Svetlana Madjunkova
- CReATe Fertility Centre, Toronto, Canada; Department of Obstetrics and Gynecology, University of Toronto, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
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12
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Watson LA, Meharena HS. From neurodevelopment to neurodegeneration: utilizing human stem cell models to gain insight into Down syndrome. Front Genet 2023; 14:1198129. [PMID: 37323671 PMCID: PMC10267712 DOI: 10.3389/fgene.2023.1198129] [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: 03/31/2023] [Accepted: 05/09/2023] [Indexed: 06/17/2023] Open
Abstract
Down syndrome (DS), caused by triplication of chromosome 21, is the most frequent aneuploidy observed in the human population and represents the most common genetic form of intellectual disability and early-onset Alzheimer's disease (AD). Individuals with DS exhibit a wide spectrum of clinical presentation, with a number of organs implicated including the neurological, immune, musculoskeletal, cardiac, and gastrointestinal systems. Decades of DS research have illuminated our understanding of the disorder, however many of the features that limit quality of life and independence of individuals with DS, including intellectual disability and early-onset dementia, remain poorly understood. This lack of knowledge of the cellular and molecular mechanisms leading to neurological features of DS has caused significant roadblocks in developing effective therapeutic strategies to improve quality of life for individuals with DS. Recent technological advances in human stem cell culture methods, genome editing approaches, and single-cell transcriptomics have provided paradigm-shifting insights into complex neurological diseases such as DS. Here, we review novel neurological disease modeling approaches, how they have been used to study DS, and what questions might be addressed in the future using these innovative tools.
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Affiliation(s)
- L. Ashley Watson
- Developmental and Cognitive Genomics Research Laboratory, Division of Biological Sciences, Section of Neurobiology, University of California, San Diego, La Jolla, CA, United States
| | - Hiruy S. Meharena
- Developmental and Cognitive Genomics Research Laboratory, Division of Biological Sciences, Section of Neurobiology, University of California, San Diego, La Jolla, CA, United States
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13
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Kobayashi K, Iwai A, Tanaka K, Mizuta S, Yoshida S, Maihara T, Nishida Y, Wada T, Usami I, Heike T. Low-Level Germline 48,XYY,+21 Mosaicism Associated with Transient Abnormal Myelopoiesis in a Phenotypically Normal Neonate. Cytogenet Genome Res 2023; 162:625-631. [PMID: 37245502 DOI: 10.1159/000531259] [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: 01/08/2023] [Accepted: 05/24/2023] [Indexed: 05/30/2023] Open
Abstract
Transient abnormal myelopoiesis (TAM) is a unique neonatal leukemoid reaction caused by a pathognomonic GATA1 mutation in conjunction with the gene dosage effect of trisomy 21, which is either of germline or somatic origin. We encountered a 48,XYY,+21 phenotypically normal neonate with Down syndrome who developed TAM due to cryptic germline mosaicism. Quantification of the mosaic ratio was complicated by an overestimation bias of hyperproliferating TAM within the germline component. To establish a workflow for such a clinical scenario, we analyzed the cytogenetic findings of neonates with TAM associated with somatic or low-level germline mosaicism. We showed that multistep diagnostic procedures (i.e., paired cytogenetic analyses of peripheral blood specimens in culture with or without phytohemagglutinin; serial cytogenetic studies of more than one tissue, such as the buccal membrane; and complementary DNA-based GATA1 mutation screening) can verify the specificity of cytogenetic testing for phenotypically normal neonates with TAM suspected of mosaicism.
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Affiliation(s)
- Kenichiro Kobayashi
- Department of Pediatrics, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
- Department of Pediatric Hematology and Oncology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Atsushi Iwai
- Department of Pediatrics, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
- Department of Pediatric Hematology and Oncology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Kuniaki Tanaka
- Department of Pediatrics, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
- Department of Pediatric Hematology and Oncology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Shumpei Mizuta
- Department of Clinical Laboratory, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Saya Yoshida
- Department of Clinical Laboratory, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Toshiro Maihara
- Department of Pediatrics, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Yoshinobu Nishida
- Department of Neonatology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Takahito Wada
- Department of Pediatrics, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
- Department of Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Ikuya Usami
- Department of Pediatrics, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
- Department of Pediatric Hematology and Oncology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Toshio Heike
- Department of Pediatrics, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
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14
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Greco E, Yakovlev P, Kornilov N, Vyatkina S, Bogdanova D, Ermakova M, Tarasova Y, Tikhonov A, Pendina A, Biricik A, Sessa MT, Listorti I, Ronsini C, Greco PF, Victor A, Barnes F, Zouves C, Spinella F, Viotti M. Two clinical case reports of embryonic mosaicism identified with PGT-A persisting during pregnancy as true fetal mosaicism. Hum Reprod 2023; 38:315-323. [PMID: 36610460 DOI: 10.1093/humrep/deac263] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 10/31/2022] [Indexed: 01/09/2023] Open
Abstract
The health risks associated with transferring embryos classified as mosaic by preimplantation genetic testing for aneuploidies (PGT-A) are currently unknown. Such embryos produce PGT-A results indicating the presence of both euploid and aneuploid cells and have historically been deselected from transfer and grouped with uniformly aneuploid embryos as 'abnormal'. In recent years, numerous groups have reported the intentional transfer of mosaic embryos in the absence of uniformly euploid embryos, largely observing births of seemingly healthy babies. However, it remains to be understood whether the embryonic mosaicism invariably becomes resolved during the ensuing pregnancy, or whether the placenta and/or fetal tissues retain aneuploid cells, and if so to what potential clinical effect. Here, we report two cases of mosaicism persisting from the embryonic stage to the established pregnancy. Case 1 involved an embryonic low-level segmental mosaic loss in Chromosome (Chr) 1, which was confirmed in amniocentesis as well as in brain tissue of the products of conception. This pregnancy was terminated due to the chromosomal pathologies associated with 1p36 deletion syndrome, such as severe intellectual disability. Case 2 involved a low-level mosaic Chr 21 trisomy, which was confirmed with chorionic villus sampling and amniocentesis. The ensuing pregnancy was terminated after ultrasound identification of severe abnormalities in the placenta and fetus. Together, these two cases should be taken into account for risk-benefit assessments of prospective mosaic embryo transfers.
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Affiliation(s)
- Ermanno Greco
- Villa Mafalda, Centre For Reproductive Medicine, Rome, Italy.,Department of Obstetrics and Gynecology, UniCamillus International University, Rome, Italy
| | - Pavel Yakovlev
- Next Generation Clinic, Centre For Reproductive Medicine, Moscow, Russia
| | - Nikolay Kornilov
- Next Generation Clinic, Centre For Reproductive Medicine, Moscow, Russia.,Next Generation Clinic, Centre For Reproductive Medicine, St. Petersburg, Russia
| | - Svetlana Vyatkina
- Next Generation Clinic, Centre For Reproductive Medicine, St. Petersburg, Russia
| | - Daria Bogdanova
- Next Generation Clinic, Centre For Reproductive Medicine, Moscow, Russia
| | - Marina Ermakova
- Medical Genetic Center of the Group of companies "Mother and Child", Moscow, Russia
| | - Yulia Tarasova
- Medical Genetic Center of the Group of companies "Mother and Child", Moscow, Russia
| | - Andrei Tikhonov
- D.O. Ott Research Institute of Obstetrics, Gynecology and Reproduction, Saint Petersburg, Russia
| | - Anna Pendina
- D.O. Ott Research Institute of Obstetrics, Gynecology and Reproduction, Saint Petersburg, Russia
| | - Anil Biricik
- Eurofins Genoma Group, Molecular Genetics Laboratories, Rome, Italy
| | | | - Ilaria Listorti
- Villa Mafalda, Centre For Reproductive Medicine, Rome, Italy
| | - Carlo Ronsini
- Dipartimento della Donna, del Bambino e di Chirurgia Generale e Specialistica, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | | | | | | | | | - Manuel Viotti
- Zouves Fertility Center, Foster City, CA, USA.,Zouves Foundation for Reproductive Medicine, Foster City, CA, USA
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15
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Weiner CP, Weiss ML, Zhou H, Syngelaki A, Nicolaides KH, Dong Y. Detection of Embryonic Trisomy 21 in the First Trimester Using Maternal Plasma Cell-Free RNA. Diagnostics (Basel) 2022; 12:1410. [PMID: 35741220 PMCID: PMC9221829 DOI: 10.3390/diagnostics12061410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/03/2022] [Accepted: 06/04/2022] [Indexed: 11/16/2022] Open
Abstract
Prenatal trisomy 21 (T21) screening commonly involves testing a maternal blood sample for fetal DNA aneuploidy. It is reliable but poses a cost barrier to universal screening. We hypothesized maternal plasma RNA screening might provide similar reliability but at a lower cost. Discovery experiments used plasma cell-free RNA from 20 women 11−13 weeks tested by RNA and miRNA microarrays followed by qRT-PCR. Thirty-six mRNAs and 18 small RNAs of the discovery cDNA were identified by qPCR as potential markers of embryonic T21. The second objective was validation of the RNA predictors in 998 independent pregnancies at 11−13 weeks including 50 T21. Initial analyses identified 9−15 differentially expressed RNA with modest predictive power (AUC < 0.70). The 54 RNAs were then subjected to machine learning. Eleven algorithms were trained on one partition and tested on an independent partition. The three best algorithms were identified by Kappa score and the effects of training/testing partition size and dataset class imbalance on prediction were evaluated. Six to ten RNAs predicted T21 with AUCs up to 1.00. The findings suggest that maternal plasma collected at 11−13 weeks, tested by qRT-PCR, and classified by machine learning, may accurately predict T21 for a lower cost than plasma DNA, thus opening the door to universal screening.
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Affiliation(s)
- Carl P. Weiner
- Departments of Obstetrics and Gynecology and Molecular and Integrative Physiology, University of Kansas School of Medicine, Kansas City, KS 66160, USA;
- Rosetta Signaling Laboratory, Phoenix, AZ 85018, USA;
| | - Mark L. Weiss
- Departments of Anatomy and Physiology & Midwest Institute of Comparative Stem Cell Biology, Kansas State University, Manhattan, KS 66506, USA;
| | - Helen Zhou
- Departments of Obstetrics and Gynecology and Molecular and Integrative Physiology, University of Kansas School of Medicine, Kansas City, KS 66160, USA;
| | - Argyro Syngelaki
- Fetal Medicine Research Institute, King’s College Hospital, London SE5 9RS, UK; (A.S.); (K.H.N.)
| | - Kypros H. Nicolaides
- Fetal Medicine Research Institute, King’s College Hospital, London SE5 9RS, UK; (A.S.); (K.H.N.)
| | - Yafeng Dong
- Rosetta Signaling Laboratory, Phoenix, AZ 85018, USA;
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16
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Moncada Arita WA, Perdomo Domínguez ES, Rivera Caballero AY, Espinoza‐Moreno NA, Zavala Galeano ME, DuPont BR, Ramos‐Zaldívar HM. Multi-tissue cytogenetic analysis for the diagnosis of mosaic Down syndrome: A case report. Clin Case Rep 2022; 10:e05604. [PMID: 35425598 PMCID: PMC8991758 DOI: 10.1002/ccr3.5604] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 02/17/2022] [Accepted: 03/07/2022] [Indexed: 01/01/2023] Open
Abstract
Less than one percent of individuals with Down syndrome exhibit mosaicism, a biological phenomenon that describes an individual who has two or more genetically distinct cell lines. The percentage of mosaicism in different tissues can impact the presence of clinical findings and hinder cytogenetic diagnosis. We report a case of mosaicism for trisomy 21 diagnosed after multi-tissue cytogenetic analysis of peripheral blood and buccal mucosa, associated with significant intellectual disability, dysmorphic facial features, congenital heart defects, macropenis, and imperforate anus.
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Affiliation(s)
| | | | | | | | | | | | - Héctor M. Ramos‐Zaldívar
- GIMUNICAHFaculty of MedicineUniversidad Católica de HondurasSan Pedro SulaHonduras
- Faculty of MedicineDoctoral Program in Medical SciencesPontificia Universidad Católica de ChileSantiago de ChileChile
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17
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Cell models for Down syndrome-Alzheimer’s disease research. Neuronal Signal 2022; 6:NS20210054. [PMID: 35449591 PMCID: PMC8996251 DOI: 10.1042/ns20210054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 03/07/2022] [Accepted: 03/21/2022] [Indexed: 11/29/2022] Open
Abstract
Down syndrome (DS) is the most common chromosomal abnormality and leads to intellectual disability, increased risk of cardiac defects, and an altered immune response. Individuals with DS have an extra full or partial copy of chromosome 21 (trisomy 21) and are more likely to develop early-onset Alzheimer’s disease (AD) than the general population. Changes in expression of human chromosome 21 (Hsa21)-encoded genes, such as amyloid precursor protein (APP), play an important role in the pathogenesis of AD in DS (DS-AD). However, the mechanisms of DS-AD remain poorly understood. To date, several mouse models with an extra copy of genes syntenic to Hsa21 have been developed to characterise DS-AD-related phenotypes. Nonetheless, due to genetic and physiological differences between mouse and human, mouse models cannot faithfully recapitulate all features of DS-AD. Cells differentiated from human-induced pluripotent stem cells (iPSCs), isolated from individuals with genetic diseases, can be used to model disease-related cellular and molecular pathologies, including DS. In this review, we will discuss the limitations of mouse models of DS and how these can be addressed using recent advancements in modelling DS using human iPSCs and iPSC-mouse chimeras, and potential applications of iPSCs in preclinical studies for DS-AD.
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18
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Rafferty K, Archer KJ, Turner K, Brown R, Jackson-Cook C. Trisomy 21-associated increases in chromosomal instability are unmasked by comparing isogenic trisomic/disomic leukocytes from people with mosaic Down syndrome. PLoS One 2021; 16:e0254806. [PMID: 34283872 PMCID: PMC8291705 DOI: 10.1371/journal.pone.0254806] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/05/2021] [Indexed: 12/17/2022] Open
Abstract
Down syndrome, which results from a trisomic imbalance for chromosome 21, has been associated with 80+ phenotypic traits. However, the cellular changes that arise in somatic cells due to this aneuploid condition are not fully understood. The primary aim of this study was to determine if germline trisomy 21 is associated with an increase in spontaneous somatic cell chromosomal instability frequencies (SCINF). To achieve this aim, we quantified SCINF in people with mosaic Down syndrome using a cytokinesis-blocked micronucleus assay. By comparing values in their isogenic trisomic/disomic cells, we obtained a measure of differences in SCINF that are directly attributable to a trisomy 21 imbalance, since differential effects attributable to "background" genetic factors and environmental exposures could be eliminated. A cross-sectional assessment of 69 people with mosaic Down syndrome (ages 1 to 44; mean age of 12.84 years) showed a significantly higher frequency of micronuclei in their trisomic (0.37 ± 0.35 [mean ± standard deviation]) compared to disomic cells (0.18 ± 0.11)(P <0.0001). The daughter binucleates also showed significantly higher levels of abnormal patterns in the trisomic (1.68 ± 1.21) compared to disomic (0.35 ± 0.45) cells (P <0.0001). Moreover, a significant Age x Cell Type interaction was noted (P = 0.0113), indicating the relationship between age and SCINF differed between the trisomic and disomic cells. Similarly, a longitudinal assessment (mean time interval of 3.9 years; range of 2 to 6 years) of 18 participants showed a mean 1.63-fold increase in SCINF within individuals over time for their trisomic cells (P = 0.0186), compared to a 1.13-fold change in their disomic cells (P = 0.0464). In summary, these results showed a trisomy 21-associated, age-related increase in SCINF. They also underscore the strength of the isogenic mosaic Down syndrome model system for "unmasking" cellular changes arising from a trisomy 21 imbalance.
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Affiliation(s)
- Kelly Rafferty
- Department of Human & Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Pathology, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Kellie J. Archer
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, United States of America
| | - Kristi Turner
- Department of Pathology, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Ruth Brown
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Colleen Jackson-Cook
- Department of Human & Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Pathology, Virginia Commonwealth University, Richmond, Virginia, United States of America
- * E-mail:
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19
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Martinez JL, Zammit MD, West NR, Christian BT, Bhattacharyya A. Basal Forebrain Cholinergic Neurons: Linking Down Syndrome and Alzheimer's Disease. Front Aging Neurosci 2021; 13:703876. [PMID: 34322015 PMCID: PMC8311593 DOI: 10.3389/fnagi.2021.703876] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/17/2021] [Indexed: 12/31/2022] Open
Abstract
Down syndrome (DS, trisomy 21) is characterized by intellectual impairment at birth and Alzheimer's disease (AD) pathology in middle age. As individuals with DS age, their cognitive functions decline as they develop AD pathology. The susceptibility to degeneration of a subset of neurons, known as basal forebrain cholinergic neurons (BFCNs), in DS and AD is a critical link between cognitive impairment and neurodegeneration in both disorders. BFCNs are the primary source of cholinergic innervation to the cerebral cortex and hippocampus, as well as the amygdala. They play a critical role in the processing of information related to cognitive function and are directly engaged in regulating circuits of attention and memory throughout the lifespan. Given the importance of BFCNs in attention and memory, it is not surprising that these neurons contribute to dysfunctional neuronal circuitry in DS and are vulnerable in adults with DS and AD, where their degeneration leads to memory loss and disturbance in language. BFCNs are thus a relevant cell target for therapeutics for both DS and AD but, despite some success, efforts in this area have waned. There are gaps in our knowledge of BFCN vulnerability that preclude our ability to effectively design interventions. Here, we review the role of BFCN function and degeneration in AD and DS and identify under-studied aspects of BFCN biology. The current gaps in BFCN relevant imaging studies, therapeutics, and human models limit our insight into the mechanistic vulnerability of BFCNs in individuals with DS and AD.
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Affiliation(s)
- Jose L. Martinez
- Cellular and Molecular Biology Graduate Program, University of Wisconsin, Madison, WI, United States
- Waisman Center, University of Wisconsin, Madison, WI, United States
| | - Matthew D. Zammit
- Waisman Center, University of Wisconsin, Madison, WI, United States
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Nicole R. West
- Cellular and Molecular Biology Graduate Program, University of Wisconsin, Madison, WI, United States
- Waisman Center, University of Wisconsin, Madison, WI, United States
| | - Bradley T. Christian
- Waisman Center, University of Wisconsin, Madison, WI, United States
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
- Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Anita Bhattacharyya
- Waisman Center, University of Wisconsin, Madison, WI, United States
- Department of Cellular and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
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20
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Chen CP, Ko TM, Chen YY, Chern SR, Wu PS, Chen SW, Wu FT, Chen YY, Chen WL, Pan CW, Wang W. Prenatal diagnosis of low-level mosaicism for trisomy 21 by amniocentesis in a pregnancy associated with maternal uniparental disomy of chromosome 21 in the fetus and a favorable outcome. Taiwan J Obstet Gynecol 2021; 59:754-757. [PMID: 32917331 DOI: 10.1016/j.tjog.2020.07.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/03/2020] [Indexed: 10/23/2022] Open
Abstract
OBJECTIVE We present perinatal molecular cytogenetic analysis of low-level mosaicism for trisomy 21 in a pregnancy with maternal uniparental disomy (UPD) of chromosome 21 in the fetus. CASE REPORT A 39-year-old woman underwent amniocentesis at 17 weeks of gestation because of advanced maternal age. Amniocentesis revealed a karyotype of 47,XX,+21[6]/46,XX[25]. Simultaneous array comparative genomic hybridization (aCGH) analysis on the DNA extracted from uncultured amniocytes revealed arr (21) × 2-3, (X) × 2 with about 18% gene dosage increase in chromosome 21 consistent with mosaic trisomy 21. Cordocentesis was performed at 20 weeks of gestation, and the cord blood lymphocytes had a karyotype of 47,XX,+21[3]/46,XX[72]. Prenatal ultrasound findings were unremarkable. After genetic counseling, the parents decided to continue the pregnancy. At 39 weeks of gestation, a 3,494-g phenotypically normal female baby was delivered without phenotypic features of Down syndrome. There was no dysplasia of middle phalanx of the fifth fingers of both hands. The cord blood had a karyotype of 47,XX,+21[2]/46,XX[48]. The placenta had a karyotype of 47,XX,+21[37]/46,XX[3]. The umbilical cord had a karyotype of 47,XX,+21[1]/46,XX[39]. aCGH analysis on the DNA extracted from cord blood revealed no genomic imbalance. Polymorphic DNA marker analysis on the DNAs extracted from cord blood and parental bloods revealed maternal uniparental heterodisomy 21 in the baby. Interphase fluorescence in situ hybridization analysis on buccal mucosal cells revealed trisomy 21 signals in 15/101 (14.9%) buccal cells at birth and in 1/122 (0.82%) buccal cells at age 45 days. CONCLUSION Low-level mosaicism for trisomy 21 at amniocentesis associated with maternal UPD 21 in the fetus can have a favorable outcome.
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Affiliation(s)
- Chih-Ping Chen
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan; Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan; School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan; Institute of Clinical and Community Health Nursing, National Yang-Ming University, Taipei, Taiwan; Department of Obstetrics and Gynecology, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
| | - Tsang-Ming Ko
- Genephile Bioscience Laboratory, Ko's Obstetrics and Gynecology, Taipei, Taiwan
| | - Yi-Yung Chen
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Schu-Rern Chern
- Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
| | | | - Shin-Wen Chen
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Fang-Tzu Wu
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Yun-Yi Chen
- Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
| | - Wen-Lin Chen
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Chen-Wen Pan
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Wayseen Wang
- Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
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21
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Perinatal cytogenetic discrepancy in a fetus with low-level mosaicism for trisomy 21 and a favorable outcome. Taiwan J Obstet Gynecol 2021; 59:440-442. [PMID: 32416895 DOI: 10.1016/j.tjog.2020.03.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2020] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE We present perinatal cytogenetic discrepancy in a fetus with low-level mosaicism for trisomy 21 and a favorable outcome. CASE REPORT A 40-year-old woman underwent amniocentesis at 19 weeks of gestation because of advanced maternal age. Amniocentesis revealed a karyotype of 47,XY,+21[7]/46,XY[14]. She underwent cordocentesis 21 weeks of gestation, and the karyotype of cord blood was 47,XY,+21[13]/46,XY[38]. The prenatal ultrasound findings were unremarkable. After genetic counseling of a favorable outcome of low-level mosaic trisomy 21 at amniocentesis, the parents decided to continue the pregnancy, and a 3128-g phenotypically normal male baby was delivered at 38 weeks of gestation without phenotypic features of Down syndrome. Postnatal cytogenetic analysis of cord blood revealed a karyotype of 47,XY,+21[3]/46,XY[47]. The placenta had a karyotype of 47,XY,+21[8]/46,XY[32], and the umbilical cord had a karyotype of 47,XY,+21[5]/46,XY[35]. Array comparative genomic hybridization analysis on the DNA extracted from cord blood revealed no genomic imbalance. Polymorphic DNA marker analysis excluded uniparental disomy 21. Interphase fluorescence in situ hybridization analysis on urinary cells revealed trisomy 21 signals in 2/102 (1.96%) cells compared with 2/103 (1.94%) cells in normal control. CONCLUSION The cells of abnormal cell line in prenatally detected mosaic trisomy 21 may decrease in number or disappear in various tissues as the fetus grows, and there exists perinatal cytogenetic discrepancy in mosaic trisomy 21 detected at prenatal diagnosis.
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22
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Velissariou V, Sachinidi F, Christopoulou S, Florentin L, Liehr T, Efthymiadou A, Angelopoulou E, Chrysis D, Stefanou EG. Low-Level Trisomy 14 Mosaicism: A Carrier of an Isochromosome 14 and a Supernumerary Marker Chromosome 14. Cytogenet Genome Res 2020; 160:664-670. [PMID: 33202412 DOI: 10.1159/000511549] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 09/13/2020] [Indexed: 11/19/2022] Open
Abstract
Trisomy 14 (T14) mosaicism is a rare chromosomal condition characterised by various clinical features, including developmental delay, growth impairment, and dysmorphism. Here, we report on a 12-year-old female referred for cytogenetic analysis due to short stature. Standard GTG-banding analysis on the patient's peripheral blood revealed mosaic Τ14 in the form of an i(14)(q10) in 3% of cells. Furthermore, a small supernumerary marker chromosome (sSMC) had been detected in the first trimester of pregnancy in chorionic villus sampling. A skin biopsy in the patient revealed the presence of a metacentric sSMC in 100% of cells. Cytogenetic and FISH studies showed that it was a de novo metacentric bisatellited sSMC derived from chromosomes 14 or 22. Oligonucleotide array-CGH using skin cells revealed no copy number variations. Studies for uniparental disomy 14 by microsatellite analysis confirmed biparental inheritance. To the best of our knowledge, this is the second report of a patient with 2 abnormal cell lines involving chromosome 14 in different tissues, one with mosaic T14 in the form of i(14)(q10) and one with an sSMC derived from chromosome 14, present in blood and skin, respectively. A rare mechanism of trisomy rescue events is proposed to explain the presence of the different cell lines in the tissues examined. This case highlights the importance of providing the cytogenetics laboratory with adequate clinical data to test for low mosaicism and analyse different tissues if necessary, thus contributing to the suitable clinical management of the patient.
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Affiliation(s)
- Voula Velissariou
- Department of Genetics and Molecular Biology, Mitera Hospital, Hygeia Group, Athens, Greece.,A-Lab, Genetics and Genomics Center, Hygeia Group, Athens, Greece.,Department of Genetics and Molecular Biology, Bioiatriki Healthcare Group, Athens, Greece
| | | | - Stavroula Christopoulou
- Department of Genetics and Molecular Biology, Mitera Hospital, Hygeia Group, Athens, Greece.,A-Lab, Genetics and Genomics Center, Hygeia Group, Athens, Greece
| | - Lina Florentin
- A-Lab, Genetics and Genomics Center, Hygeia Group, Athens, Greece
| | - Thomas Liehr
- Institute of Human Genetics, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Alexandra Efthymiadou
- Endocrine Unit, Department of Paediatrics, Medical School, University of Patras, Patras, Greece
| | - Eleni Angelopoulou
- Cytogenetics Unit, Laboratory of Medical Genetics, Department of Paediatrics, University General Hospital of Patras, Patras, Greece
| | - Dionisios Chrysis
- Endocrine Unit, Department of Paediatrics, Medical School, University of Patras, Patras, Greece
| | - Eunice G Stefanou
- Cytogenetics Unit, Laboratory of Medical Genetics, Department of Paediatrics, University General Hospital of Patras, Patras, Greece,
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23
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Miraldi Utz V, Brightman DS, Sandoval MA, Hufnagel RB, Saal HM. Systemic and ocular manifestations of a patient with mosaic ARID1A-associated Coffin-Siris syndrome and review of select mosaic conditions with ophthalmic manifestations. AMERICAN JOURNAL OF MEDICAL GENETICS PART C-SEMINARS IN MEDICAL GENETICS 2020; 184:644-655. [PMID: 32888375 DOI: 10.1002/ajmg.c.31839] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 08/06/2020] [Accepted: 08/09/2020] [Indexed: 12/16/2022]
Abstract
Mosaic genetic mutations may be somatic, germline, or "gonosomal" and have the potential to cause genetic syndromes, disorders, or malformations. Mutations can occur at any point in embryonic development and the timing determines the extent of distribution of the mutation throughout the body and different tissue types. The eye and visual pathway offer a unique opportunity to study somatic and gonosomal mosaic mutations as the eye consists of tissues derived from all three germ layers allowing disease pathology to be assessed with noninvasive imaging. In this review, we describe systemic and ocular manifestations in a child with mosaic Coffin-Siris syndrome. The patient presented with a significant medical history of accommodative esotropia and hyperopia, macrocephaly, polydactyly, global developmental delay, hypotonia, ureteropelvic junction (UPJ) obstruction, and brain MRI abnormalities. The ophthalmic findings in this patient were nonspecific, however, they are consistent with ocular manifestations reported in other patients with Coffin-Siris syndrome. We also review ophthalmic findings of select mosaic chromosomal and single-gene disorders. Ophthalmic assessment alongside clinical genetic testing may play an important role in diagnosis of genetic syndromes as well as understanding disease pathology, particularly when mosaicism plays a role.
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Affiliation(s)
- Virginia Miraldi Utz
- Abrahamson Pediatric Eye Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Ophthalmology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Diana S Brightman
- Division of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Monica A Sandoval
- Abrahamson Pediatric Eye Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Robert B Hufnagel
- Division of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Howard M Saal
- Division of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
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24
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Applications of Genome Editing Technology in Research on Chromosome Aneuploidy Disorders. Cells 2020; 9:cells9010239. [PMID: 31963583 PMCID: PMC7016705 DOI: 10.3390/cells9010239] [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: 12/23/2019] [Revised: 01/07/2020] [Accepted: 01/09/2020] [Indexed: 12/24/2022] Open
Abstract
Chromosomal segregation errors in germ cells and early embryonic development underlie aneuploidies, which are numerical chromosomal abnormalities causing fetal absorption, developmental anomalies, and carcinogenesis. It has been considered that human aneuploidy disorders cannot be resolved by radical treatment. However, recent studies have demonstrated that aneuploidies can be rescued to a normal diploid state using genetic engineering in cultured cells. Here, we summarize a series of studies mainly applying genome editing to eliminate an extra copy of human chromosome 21, the cause of the most common constitutional aneuploidy disorder Down syndrome. We also present findings on induced pluripotent stem cell reprogramming, which has been shown to be one of the most promising technologies for converting aneuploidies into normal diploidy without the risk of genetic alterations such as genome editing-mediated off-target effects.
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25
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Paz-Y-Miño C, Yumiceba V, Moreta G, Paredes R, Ruiz M, Ocampo L, Llamos Paneque A, Ochoa Pérez C, Ruiz-Cabezas JC, Álvarez Vidal J, Jiménez Torres I, Vargas-Vera R, Cruz F, Guapi N VH, Montalván M, Meneses Álvarez S, Garzón Castro M, Lamar Segura E, Recalde Báez MA, Naranjo ME, Tambaco Jijón N, Sinche M, Licuy P, Burgos R, Porras-Borja F, Echeverría-Garcés G, Pérez-Villa A, Armendáriz-Castillo I, García-Cárdenas JM, Guerrero S, Guevara-Ramírez P, López-Cortés A, Zambrano AK, Leone PE. Multi-institutional experience of genetic diagnosis in Ecuador: National registry of chromosome alterations and polymorphisms. Mol Genet Genomic Med 2019; 8:e1087. [PMID: 31830383 PMCID: PMC7005643 DOI: 10.1002/mgg3.1087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 11/06/2019] [Accepted: 11/14/2019] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Detection of chromosomal abnormalities is crucial in various medical areas; to diagnose birth defects, genetic disorders, and infertility, among other complex phenotypes, in individuals across a wide range of ages. Hence, the present study wants to contribute to the knowledge of type and frequency of chromosomal alterations and polymorphisms in Ecuador. METHODS Cytogenetic registers from different Ecuadorian provinces have been merged and analyzed to construct an open-access national registry of chromosome alterations and polymorphisms. RESULTS Of 28,806 karyotypes analyzed, 6,008 (20.9%) exhibited alterations. Down syndrome was the most frequent autosome alteration (88.28%), followed by Turner syndrome (60.50%), a gonosome aneuploidy. A recurrent high percentage of Down syndrome mosaicism (7.45%) reported here, as well as by previous Ecuadorian preliminary registries, could be associated with geographic location and admixed ancestral composition. Translocations (2.46%) and polymorphisms (7.84%) were not as numerous as autosomopathies (64.33%) and gonosomopathies (25.37%). Complementary to conventional cytogenetics tests, molecular tools have allowed identification of submicroscopic alterations regions or candidate genes which can be possibly implicated in patients' symptoms and phenotypes. CONCLUSION The Ecuadorian National Registry of Chromosome Alterations and Polymorphisms provides a baseline to better understand chromosomal abnormalities in Ecuador and therefore their clinical management and awareness. This data will guide public policy makers to promote and financially support cytogenetic and genetic testing.
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Affiliation(s)
- César Paz-Y-Miño
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Verónica Yumiceba
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Germania Moreta
- Servicio de Genética Médica, Hospital de Especialidades, Quito, Ecuador
| | - Rosario Paredes
- Servicio de Genética Médica, Hospital de Especialidades, Quito, Ecuador
| | | | - Ligia Ocampo
- Laboratorio de Genética, Génica Laboratorios, Quito, Ecuador
| | | | | | - Juan Carlos Ruiz-Cabezas
- Hospital "Dr. Juan Tanca Marengo", SOLCA Matriz, Guayaquil, Ecuador.,Facultad de Medicina, Universidad Espíritu Santo, Guayaquil, Ecuador
| | - Jenny Álvarez Vidal
- Centro de Diagnóstico y Estudios Biomédicos, Facultad de Ciencia Médicas, Universidad de Cuenca, Cuenca, Ecuador
| | | | - Ramón Vargas-Vera
- Facultad de Ciencias Médicas, Universidad de Guayaquil, Guayaquil, Ecuador
| | - Fernando Cruz
- Centro de Genética Médica, CEGEMED, Ministerio de Salud Pública, Quito, Ecuador
| | - Víctor Hugo Guapi N
- Hospital General Provincial "Luis G. Dávila", Ministerio de Salud Pública, Tulcán, Ecuador
| | - Martha Montalván
- Centro de Investigaciones, Universidad Espíritu Santo, Guayaquil, Ecuador
| | | | | | | | | | | | | | - María Sinche
- Hospital "Dr. Juan Tanca Marengo", SOLCA Matriz, Guayaquil, Ecuador
| | - Pedro Licuy
- Hospital "Dr. Juan Tanca Marengo", SOLCA Matriz, Guayaquil, Ecuador
| | - Ramiro Burgos
- Hospital "Dr. Juan Tanca Marengo", SOLCA Matriz, Guayaquil, Ecuador
| | - Fabián Porras-Borja
- Centro de Genética Médica, CEGEMED, Ministerio de Salud Pública, Quito, Ecuador
| | | | - Andy Pérez-Villa
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Isaac Armendáriz-Castillo
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Jennyfer M García-Cárdenas
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Santiago Guerrero
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Patricia Guevara-Ramírez
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Andrés López-Cortés
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Ana Karina Zambrano
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Paola E Leone
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
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26
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Odintsova VV, Hagenbeek FA, Suderman M, Caramaschi D, van Beijsterveldt CEM, Kallsen NA, Ehli EA, Davies GE, Sukhikh GT, Fanos V, Relton C, Bartels M, Boomsma DI, van Dongen J. DNA Methylation Signatures of Breastfeeding in Buccal Cells Collected in Mid-Childhood. Nutrients 2019; 11:E2804. [PMID: 31744183 PMCID: PMC6893543 DOI: 10.3390/nu11112804] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 11/12/2019] [Accepted: 11/12/2019] [Indexed: 12/11/2022] Open
Abstract
Breastfeeding has long-term benefits for children that may be mediated via the epigenome. This pathway has been hypothesized, but the number of empirical studies in humans is small and mostly done by using peripheral blood as the DNA source. We performed an epigenome-wide association study (EWAS) in buccal cells collected around age nine (mean = 9.5) from 1006 twins recruited by the Netherlands Twin Register (NTR). An age-stratified analysis examined if effects attenuate with age (median split at 10 years; n<10 = 517, mean age = 7.9; n>10 = 489, mean age = 11.2). We performed replication analyses in two independent cohorts from the NTR (buccal cells) and the Avon Longitudinal Study of Parents and Children (ALSPAC) (peripheral blood), and we tested loci previously associated with breastfeeding in epigenetic studies. Genome-wide DNA methylation was assessed with the Illumina Infinium MethylationEPIC BeadChip (Illumina, San Diego, CA, USA) in the NTR and with the HumanMethylation450 Bead Chip in the ALSPAC. The duration of breastfeeding was dichotomized ('never' vs. 'ever'). In the total sample, no robustly associated epigenome-wide significant CpGs were identified (α = 6.34 × 10-8). In the sub-group of children younger than 10 years, four significant CpGs were associated with breastfeeding after adjusting for child and maternal characteristics. In children older than 10 years, methylation differences at these CpGs were smaller and non-significant. The findings did not replicate in the NTR sample (n = 98; mean age = 7.5 years), and no nearby sites were associated with breastfeeding in the ALSPAC study (n = 938; mean age = 7.4). Of the CpG sites previously reported in the literature, three were associated with breastfeeding in children younger than 10 years, thus showing that these CpGs are associated with breastfeeding in buccal and blood cells. Our study is the first to show that breastfeeding is associated with epigenetic variation in buccal cells in children. Further studies are needed to investigate if methylation differences at these loci are caused by breastfeeding or by other unmeasured confounders, as well as what mechanism drives changes in associations with age.
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Affiliation(s)
- Veronika V. Odintsova
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow 101000, Russia
| | - Fiona A. Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, Bristol Medical School, Population Health Science, University of Bristol, Bristol BS8 1TH, UK
| | - Doretta Caramaschi
- MRC Integrative Epidemiology Unit, Bristol Medical School, Population Health Science, University of Bristol, Bristol BS8 1TH, UK
| | | | - Noah A. Kallsen
- Avera Institute for Human Genetics, Sioux Falls, SD 57101, USA
| | - Erik A. Ehli
- Avera Institute for Human Genetics, Sioux Falls, SD 57101, USA
| | | | - Gennady T. Sukhikh
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow 101000, Russia
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, 09121 Cagliari, Italy
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, Bristol Medical School, Population Health Science, University of Bristol, Bristol BS8 1TH, UK
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Jenny van Dongen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
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27
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Lukowski AF, Milojevich HM, Eales L. Cognitive Functioning in Children with Down Syndrome: Current Knowledge and Future Directions. ADVANCES IN CHILD DEVELOPMENT AND BEHAVIOR 2019; 56:257-289. [PMID: 30846049 DOI: 10.1016/bs.acdb.2019.01.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Infants and children with Down syndrome (DS) can look forward toward bright futures, as individuals with DS are living healthier, more productive lives than ever due to medical advances, opportunities for early and continued intervention, and inclusive education. Despite these advances, infants and children with DS experience challenges in specific domains of cognitive functioning relative to their typically developing (TD) peers. Over the long term, individuals with DS are also more likely to develop Alzheimer's disease relative to the general population. Understanding cognitive functioning early in life may be important in charting cognitive decline over time. This chapter synthesizes the literature on cognitive functioning in infants and children with DS specific to general intelligence or IQ, language development, recall memory, and executive functioning, with additional focus on critical issues and future directions. These research findings provide important information for understanding cognitive competencies and intervention opportunities for children with DS and also serves to provide a foundation from which to plan longitudinal studies examining stability and change in cognitive functioning over time.
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Affiliation(s)
- Angela F Lukowski
- Department of Psychological Science, UC Irvine, Irvine, CA, United States.
| | - Helen M Milojevich
- Center for Developmental Science, UNC Chapel Hill, Chapel Hill, NC, United States
| | - Lauren Eales
- Institute of Child Development, University of Minnesota, Minneapolis, MN, United States
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28
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Schnabel F, Smogavec M, Funke R, Pauli S, Burfeind P, Bartels I. Down syndrome phenotype in a boy with a mosaic microduplication of chromosome 21q22. Mol Cytogenet 2018; 11:62. [PMID: 30619508 PMCID: PMC6310980 DOI: 10.1186/s13039-018-0410-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 12/02/2018] [Indexed: 12/14/2022] Open
Abstract
Background Down syndrome, typically caused by trisomy 21, may also be associated by duplications of the Down syndrome critical region (DSCR) on chromosome 21q22. However, patients with small duplications of DSCR without accompanying deletions have rarely been reported. Case presentation Here we report a 5½-year-old boy with clinical features of Down syndrome including distinct craniofacial dysmorphism and sandal gaps as well as developmental delay. Conventional karyotype was normal, whereas interphase FISH analysis revealed three signals for DSCR in approximately 40% of lymphocytes and 80% of buccal mucosa cells. Array-CGH analysis confirmed a 2.56 Mb duplication of chromosome 21q22.13q22.2 encompassing DYRK1A. Conclusion This presents one of the smallest duplications within DSCR leading to a Down syndrome phenotype. Since the dosage sensitive gene DYRK1A is the only duplicated candidate DSCR gene in our patient, this finding supports the hypothesis that DYRK1A contributes to dysmorphic and intellectual features of Down syndrome even in a mosaic state.
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Affiliation(s)
- Franziska Schnabel
- 1Institute of Human Genetics, University Medical Center, Heinrich-Düker-Weg 12, 37073 Göttingen, Germany
| | - Mateja Smogavec
- 1Institute of Human Genetics, University Medical Center, Heinrich-Düker-Weg 12, 37073 Göttingen, Germany
| | - Rudolf Funke
- Department of Neuropediatrics, Sozialpädiatrisches Zentrum, Mönchebergstr. 41-43, 34125 Kassel, Germany
| | - Silke Pauli
- 1Institute of Human Genetics, University Medical Center, Heinrich-Düker-Weg 12, 37073 Göttingen, Germany
| | - Peter Burfeind
- 1Institute of Human Genetics, University Medical Center, Heinrich-Düker-Weg 12, 37073 Göttingen, Germany
| | - Iris Bartels
- 1Institute of Human Genetics, University Medical Center, Heinrich-Düker-Weg 12, 37073 Göttingen, Germany
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29
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Abstract
Prenatal adversity shapes child neurodevelopment and risk for later mental health problems. The quality of the early care environment can buffer some of the negative effects of prenatal adversity on child development. Retrospective studies, in adult samples, highlight epigenetic modifications as sentinel markers of the quality of the early care environment; however, comparable data from pediatric cohorts are lacking. Participants were drawn from the Maternal Adversity Vulnerability and Neurodevelopment (MAVAN) study, a longitudinal cohort with measures of infant attachment, infant development, and child mental health. Children provided buccal epithelial samples (mean age = 6.99, SD = 1.33 years, n = 226), which were used for analyses of genome-wide DNA methylation and genetic variation. We used a series of linear models to describe the association between infant attachment and (a) measures of child outcome and (b) DNA methylation across the genome. Paired genetic data was used to determine the genetic contribution to DNA methylation at attachment-associated sites. Infant attachment style was associated with infant cognitive development (Mental Development Index) and behavior (Behavior Rating Scale) assessed with the Bayley Scales of Infant Development at 36 months. Infant attachment style moderated the effects of prenatal adversity on Behavior Rating Scale scores at 36 months. Infant attachment was also significantly associated with a principal component that accounted for 11.9% of the variation in genome-wide DNA methylation. These effects were most apparent when comparing children with a secure versus a disorganized attachment style and most pronounced in females. The availability of paired genetic data revealed that DNA methylation at approximately half of all infant attachment-associated sites was best explained by considering both infant attachment and child genetic variation. This study provides further evidence that infant attachment can buffer some of the negative effects of early adversity on measures of infant behavior. We also highlight the interplay between infant attachment and child genotype in shaping variation in DNA methylation. Such findings provide preliminary evidence for a molecular signature of infant attachment and may help inform attachment-focused early intervention programs.
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30
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van Dongen J, Ehli EA, Jansen R, van Beijsterveldt CEM, Willemsen G, Hottenga JJ, Kallsen NA, Peyton SA, Breeze CE, Kluft C, Heijmans BT, Bartels M, Davies GE, Boomsma DI. Genome-wide analysis of DNA methylation in buccal cells: a study of monozygotic twins and mQTLs. Epigenetics Chromatin 2018; 11:54. [PMID: 30253792 PMCID: PMC6156977 DOI: 10.1186/s13072-018-0225-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 09/17/2018] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND DNA methylation arrays are widely used in epigenome-wide association studies and methylation quantitative trait locus (mQTL) studies. Here, we performed the first genome-wide analysis of monozygotic (MZ) twin correlations and mQTLs on data obtained with the Illumina MethylationEPIC BeadChip (EPIC array) and compared the performance of the EPIC array to the Illumina HumanMethylation450 BeadChip (HM450 array) for buccal-derived DNA. RESULTS Good-quality EPIC data were obtained for 102 buccal-derived DNA samples from 49 MZ twin pairs (mean age = 7.5 years, range = 1-10). Differences between MZ twins in the cellular content of buccal swabs were a major driver for differences in their DNA methylation profiles, highlighting the importance to adjust for cellular composition in DNA methylation studies of buccal-derived DNA. After adjusting for cellular composition, the genome-wide mean correlation (r) between MZ twins was 0.21 for the EPIC array, and cis mQTL analysis in 84 twins identified 1,296,323 significant associations (FDR 5%), encompassing 33,749 methylation sites and 616,029 genetic variants. MZ twin correlations were slightly larger (p < 2.2 × 10-16) for novel EPIC probes (N = 383,066, mean r = 0.22) compared to probes that are also present on HM450 (N = 406,822, mean r = 0.20). In line with this observation, a larger percentage of novel EPIC probes was associated with genetic variants (novel EPIC probes with significant mQTL 4.7%, HM450 probes with mQTL 3.9%, p < 2.2 × 10-16). Methylation sites with a large MZ correlation and sites associated with mQTLs were most strongly enriched in epithelial cell DNase I hypersensitive sites (DHSs), enhancers, and histone mark H3K4me3. CONCLUSIONS We conclude that the contribution of familial factors to individual differences in DNA methylation and the effect of mQTLs are larger for novel EPIC probes, especially those within regulatory elements connected to active regions specific to the investigated tissue.
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Affiliation(s)
- Jenny van Dongen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van Der Boechorststraat 1, 1081BT Amsterdam, The Netherlands
| | - Erik A. Ehli
- Avera Institute for Human Genetics, 3720 W. 69th Street, Sioux Falls, SD 57108 USA
| | - Rick Jansen
- Department of Psychiatry, VU University Medical Center, Oldenaller 1, 1081 HJ Amsterdam, The Netherlands
| | - Catharina E. M. van Beijsterveldt
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van Der Boechorststraat 1, 1081BT Amsterdam, The Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van Der Boechorststraat 1, 1081BT Amsterdam, The Netherlands
| | - Jouke J. Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van Der Boechorststraat 1, 1081BT Amsterdam, The Netherlands
| | - Noah A. Kallsen
- Avera Institute for Human Genetics, 3720 W. 69th Street, Sioux Falls, SD 57108 USA
| | - Shanna A. Peyton
- Avera Institute for Human Genetics, 3720 W. 69th Street, Sioux Falls, SD 57108 USA
| | - Charles E. Breeze
- Altius Institute for Biomedical Sciences, 2211 Elliott Ave, Seattle, WA 98121 USA
| | - Cornelis Kluft
- Good Biomarker Sciences, Zernikedreef 8, 2333 CL Leiden, The Netherlands
| | - Bastiaan T. Heijmans
- Molecular Epidemiology Section, Leiden University Medical Center, Postal Zone S-05-P, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van Der Boechorststraat 1, 1081BT Amsterdam, The Netherlands
| | - Gareth E. Davies
- Avera Institute for Human Genetics, 3720 W. 69th Street, Sioux Falls, SD 57108 USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van Der Boechorststraat 1, 1081BT Amsterdam, The Netherlands
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31
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Wiseman FK, Pulford LJ, Barkus C, Liao F, Portelius E, Webb R, Chávez-Gutiérrez L, Cleverley K, Noy S, Sheppard O, Collins T, Powell C, Sarell CJ, Rickman M, Choong X, Tosh JL, Siganporia C, Whittaker HT, Stewart F, Szaruga M, Murphy MP, Blennow K, de Strooper B, Zetterberg H, Bannerman D, Holtzman DM, Tybulewicz VLJ, Fisher EMC. Trisomy of human chromosome 21 enhances amyloid-β deposition independently of an extra copy of APP. Brain 2018; 141:2457-2474. [PMID: 29945247 PMCID: PMC6061702 DOI: 10.1093/brain/awy159] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 04/13/2018] [Accepted: 04/18/2018] [Indexed: 01/11/2023] Open
Abstract
Down syndrome, caused by trisomy of chromosome 21, is the single most common risk factor for early-onset Alzheimer's disease. Worldwide approximately 6 million people have Down syndrome, and all these individuals will develop the hallmark amyloid plaques and neurofibrillary tangles of Alzheimer's disease by the age of 40 and the vast majority will go on to develop dementia. Triplication of APP, a gene on chromosome 21, is sufficient to cause early-onset Alzheimer's disease in the absence of Down syndrome. However, whether triplication of other chromosome 21 genes influences disease pathogenesis in the context of Down syndrome is unclear. Here we show, in a mouse model, that triplication of chromosome 21 genes other than APP increases amyloid-β aggregation, deposition of amyloid-β plaques and worsens associated cognitive deficits. This indicates that triplication of chromosome 21 genes other than APP is likely to have an important role to play in Alzheimer's disease pathogenesis in individuals who have Down syndrome. We go on to show that the effect of trisomy of chromosome 21 on amyloid-β aggregation correlates with an unexpected shift in soluble amyloid-β 40/42 ratio. This alteration in amyloid-β isoform ratio occurs independently of a change in the carboxypeptidase activity of the γ-secretase complex, which cleaves the peptide from APP, or the rate of extracellular clearance of amyloid-β. These new mechanistic insights into the role of triplication of genes on chromosome 21, other than APP, in the development of Alzheimer's disease in individuals who have Down syndrome may have implications for the treatment of this common cause of neurodegeneration.
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Affiliation(s)
- Frances K Wiseman
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
- The LonDownS Consortium, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Denmark Hill, London, SE5 8AF, UK
| | - Laura J Pulford
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Chris Barkus
- Department of Experimental Psychology, University of Oxford, Oxford, OX1 3PH, UK
| | - Fan Liao
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri, 63110, USA
| | - Erik Portelius
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, S-405 30, Sweden
| | - Robin Webb
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, 40507, USA
| | - Lucia Chávez-Gutiérrez
- VIB-KU Leuven Center for Brain and Disease Research, VIB-Leuven 3000, Center for Human Genetics, Universitaire Ziekenhuizen and LIND, KU Leuven, Leuven, Belgium
| | - Karen Cleverley
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Sue Noy
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Olivia Sheppard
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Toby Collins
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Caroline Powell
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, 33 Cleveland Street, London W1W 7FF, UK
| | - Claire J Sarell
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, 33 Cleveland Street, London W1W 7FF, UK
| | - Matthew Rickman
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Xun Choong
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Justin L Tosh
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Carlos Siganporia
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Heather T Whittaker
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
| | - Floy Stewart
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri, 63110, USA
| | - Maria Szaruga
- VIB-KU Leuven Center for Brain and Disease Research, VIB-Leuven 3000, Center for Human Genetics, Universitaire Ziekenhuizen and LIND, KU Leuven, Leuven, Belgium
| | - London Down syndrome consortium
- The LonDownS Consortium, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Denmark Hill, London, SE5 8AF, UK
| | - Michael P Murphy
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, 40507, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, S-405 30, Sweden
| | - Bart de Strooper
- VIB-KU Leuven Center for Brain and Disease Research, VIB-Leuven 3000, Center for Human Genetics, Universitaire Ziekenhuizen and LIND, KU Leuven, Leuven, Belgium
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute, London, WC2B 4AN, UK
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, S-405 30, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute, London, WC2B 4AN, UK
| | - David Bannerman
- Department of Experimental Psychology, University of Oxford, Oxford, OX1 3PH, UK
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri, 63110, USA
| | - Victor L J Tybulewicz
- The LonDownS Consortium, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Denmark Hill, London, SE5 8AF, UK
- Francis Crick Institute, London, NW1 1AT, UK
- Department of Medicine, Imperial College, London, SW7 2AZ, UK
| | - Elizabeth M C Fisher
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG UK
- The LonDownS Consortium, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Denmark Hill, London, SE5 8AF, UK
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32
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Verheijen BM, Vermulst M, van Leeuwen FW. Somatic mutations in neurons during aging and neurodegeneration. Acta Neuropathol 2018; 135:811-826. [PMID: 29705908 PMCID: PMC5954077 DOI: 10.1007/s00401-018-1850-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Revised: 04/20/2018] [Accepted: 04/21/2018] [Indexed: 12/22/2022]
Abstract
The nervous system is composed of a large variety of neurons with a diverse array of morphological and functional properties. This heterogeneity is essential for the construction and maintenance of a distinct set of neural networks with unique characteristics. Accumulating evidence now indicates that neurons do not only differ at a functional level, but also at the genomic level. These genomic discrepancies seem to be the result of somatic mutations that emerge in nervous tissue during development and aging. Ultimately, these mutations bring about a genetically heterogeneous population of neurons, a phenomenon that is commonly referred to as "somatic brain mosaicism". Improved understanding of the development and consequences of somatic brain mosaicism is crucial to understand the impact of somatic mutations on neuronal function in human aging and disease. Here, we highlight a number of topics related to somatic brain mosaicism, including some early experimental evidence for somatic mutations in post-mitotic neurons of the hypothalamo-neurohypophyseal system. We propose that age-related somatic mutations are particularly interesting, because aging is a major risk factor for a variety of neuronal diseases, including Alzheimer's disease. We highlight potential links between somatic mutations and the development of these diseases and argue that recent advances in single-cell genomics and in vivo physiology have now finally made it possible to dissect the origins and consequences of neuronal mutations in unprecedented detail.
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Affiliation(s)
- Bert M Verheijen
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CG, Utrecht, The Netherlands.
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3508 GA, Utrecht, The Netherlands.
| | - Marc Vermulst
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Fred W van Leeuwen
- Department of Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER, Maastricht, The Netherlands
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33
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Corrado B, Sommella N, Ciardi G, Raiano E, Scala I, Strisciuglio P, Servodio Iammarrone C. Can early physical therapy positively affect the onset of independent walking in infants with Down syndrome? A retrospective cohort study. Minerva Pediatr (Torino) 2018; 74:31-39. [PMID: 29460553 DOI: 10.23736/s2724-5276.18.05041-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND The development of both gross and fine motor skills in a child with Down syndrome is generally delayed. The most seriously affected stage is the achievement of independent walking ability, which influences the onset of all following motor and cognitive skills. The study objectives were: 1) to assess the time taken to achieve independent walking ability in a cohort of children with Down syndrome; 2) to examine differences in walking onset by patient characteristics; and 3) to verify the effect of early physical therapy (neurodevelopmental treatment based on Bobath Concept practiced within the first months of life) in the achievement of that skill. METHODS A retrospective study was carried out on a cohort of 86 children with Down Syndrome. The knowledge of the exact age of walking onset and information about comorbidities and rehabilitation practiced since birth were the eligibility criteria. RESULTS The average age at which walking began in the sample was 26 months (standard deviation=9.66). Some patient characteristics proved to be related negatively to the walking onset: gender male, trisomy 21, improved joint ligamentous laxity. When practiced, early physical therapy was able to contrast the delay in walking. CONCLUSIONS NDT-Bobath is a well-known and valid instrument for a child with Down syndrome to attain his highest possible psychomotor functioning level. This study pointed out for the first time ever its capability to contrast the delay on walking onset, which can influence positively the development of the following motor and cognitive skills.
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Affiliation(s)
- Bruno Corrado
- Unit of Physio-kinesitherapy, University of Naples Federico II, Naples, Italy -
| | - Nadia Sommella
- Unit of Physio-kinesitherapy, University of Naples Federico II, Naples, Italy
| | - Gianluca Ciardi
- Unit of Physio-kinesitherapy, University of Naples Federico II, Naples, Italy
| | - Enza Raiano
- Unit of Physio-kinesitherapy, University of Naples Federico II, Naples, Italy
| | - Iris Scala
- Unit of Clinical Pediatric Genetics, University of Naples Federico II, Naples, Italy
| | - Pietro Strisciuglio
- Unit of Clinical Pediatric Genetics, University of Naples Federico II, Naples, Italy
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34
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Vorsanova SG, Zelenova MA, Yurov YB, Iourov IY. Behavioral Variability and Somatic Mosaicism: A Cytogenomic Hypothesis. Curr Genomics 2018; 19:158-162. [PMID: 29606902 PMCID: PMC5850503 DOI: 10.2174/1389202918666170719165339] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Revised: 11/11/2016] [Accepted: 01/01/2017] [Indexed: 02/06/2023] Open
Abstract
Behavioral sciences are inseparably related to genetics. A variety of neurobehavioral phenotypes are suggested to result from genomic variations. However, the contribution of genetic factors to common behavioral disorders (i.e. autism, schizophrenia, intellectual disability) remains to be understood when an attempt to link behavioral variability to a specific genomic change is made. Probably, the least appreciated genetic mechanism of debilitating neurobehavioral disorders is somatic mosaicism or the occurrence of genetically diverse (neuronal) cells in an individual’s brain. Somatic mosaicism is assumed to affect directly the brain being associated with specific behavioral patterns. As shown in studies of chromosome abnormalities (syndromes), genetic mosaicism is able to change dynamically the phenotype due to inconsistency of abnormal cell proportions. Here, we hypothesize that brain-specific postzygotic changes of mosaicism levels are able to modulate variability of behavioral phenotypes. More precisely, behavioral phenotype variability in individuals exhibiting somatic mosaicism might correlate with changes in the amount of genetically abnormal cells throughout the lifespan. If proven, the hypothesis can be used as a basis for therapeutic interventions through regulating levels of somatic mosaicism to increase functioning and to improve overall condition of individuals with behavioral problems.
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Affiliation(s)
- Svetlana G Vorsanova
- Separated Structural Unit "Clinical Research Institute of Pediatrics at Pirogov Russian National Research Medical University named after Y.E Veltishev", Ministry of Health of Russian Federation, Moscow125412, Russian Federation.,Mental Health Research Center, Moscow117152, Russian Federation.,Moscow State University of Psychology and Education, Moscow127051, Russian Federation
| | - Maria A Zelenova
- Separated Structural Unit "Clinical Research Institute of Pediatrics at Pirogov Russian National Research Medical University named after Y.E Veltishev", Ministry of Health of Russian Federation, Moscow125412, Russian Federation.,Mental Health Research Center, Moscow117152, Russian Federation.,Moscow State University of Psychology and Education, Moscow127051, Russian Federation
| | - Yuri B Yurov
- Separated Structural Unit "Clinical Research Institute of Pediatrics at Pirogov Russian National Research Medical University named after Y.E Veltishev", Ministry of Health of Russian Federation, Moscow125412, Russian Federation.,Mental Health Research Center, Moscow117152, Russian Federation.,Moscow State University of Psychology and Education, Moscow127051, Russian Federation
| | - Ivan Y Iourov
- Separated Structural Unit "Clinical Research Institute of Pediatrics at Pirogov Russian National Research Medical University named after Y.E Veltishev", Ministry of Health of Russian Federation, Moscow125412, Russian Federation.,Mental Health Research Center, Moscow117152, Russian Federation.,Department of Medical Genetics, Russian Medical Academy of Postgraduate Education, Moscow123995, Russian Federation
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35
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Epigenetics and Early Life Adversity: Current Evidence and Considerations for Epigenetic Studies in the Context of Child Maltreatment. THE BIOLOGY OF EARLY LIFE STRESS 2018. [DOI: 10.1007/978-3-319-72589-5_7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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36
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Carruthers V, Nicola M, Venugopal P, Hahn CN, Scott HS, Revesz T. Clinical implications of transient myeloproliferative disorder in a neonate without Down syndrome features. J Paediatr Child Health 2017; 53:1018-1020. [PMID: 28675575 DOI: 10.1111/jpc.13628] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 05/03/2017] [Accepted: 05/09/2017] [Indexed: 11/28/2022]
Affiliation(s)
- Vickyanne Carruthers
- Department of Haematology-Oncology, Women's and Children's Hospital, Adelaide, South Australia, Australia
| | - Mario Nicola
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, South Australia, Australia
| | - Parvathy Venugopal
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, South Australia, Australia.,Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia.,School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Christopher N Hahn
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, South Australia, Australia.,Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia.,School of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Hamish S Scott
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, South Australia, Australia.,Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia.,School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.,School of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Tamas Revesz
- Department of Haematology-Oncology, Women's and Children's Hospital, Adelaide, South Australia, Australia
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37
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38
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Massively Parallel Sequencing (MPS) of Cell-Free Fetal DNA (cffDNA)
for Trisomies 21, 18, and 13 in Twin Pregnancies. Twin Res Hum Genet 2017; 20:242-249. [DOI: 10.1017/thg.2017.23] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Massively parallel sequencing (MPS) technology has become increasingly available
and has been widely used to screen for trisomies 21, 18, and 13 in singleton
pregnancies. This study assessed the performance of MPS testing of cell-free
fetal DNA (cffDNA) from maternal plasma for trisomies 21, 18, and 13 in twin
pregnancies. Ninety-two women with twin pregnancies were recruited. The results
were identified through karyotypes of amniocentesis or clinical examination and
follow-up of the neonates. Fluorescent in-situ hybridization was used to examine
the placentas postnatally in cases of false-positive results. The fetuses with
autosomal trisomy 21 (n = 2) and trisomy 15 (n
= 1) were successfully detected via MPS testing of cffDNA. There was one
false-positive for trisomy 13 (n = 1), and fluorescence in-situ
hybridization (FISH) identified confined placental mosaicism in this case. For
twin pregnancies undergoing second-trimester screening for trisomy, MPS testing
of cffDNA is feasible and can enhance the diagnostic spectrum of non-invasive
prenatal testing, which could effectively reduce invasive prenatal diagnostic
methods. In addition to screening for trisomy 21, 18, and 13 by cffDNA, MPS can
detect fetal additional autosomal trisomy. False-positive results cannot
completely exclude confined placental mosaicism.
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Machiela MJ, Chanock SJ. The ageing genome, clonal mosaicism and chronic disease. Curr Opin Genet Dev 2017; 42:8-13. [PMID: 28068559 DOI: 10.1016/j.gde.2016.12.002] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 11/22/2016] [Accepted: 12/06/2016] [Indexed: 02/04/2023]
Abstract
Clonal mosaicism arises when a postzygotic mutational event is detectable in subpopulations of cells as an alternative genotype while not present in the germline genome. Although described in a subset of pediatric disorders, new genomic technologies have detected higher than anticipated frequencies of clonal mosaicism in adult population studies, stimulating investigation as to how clonal mosaicism could contribute to chronic human diseases, such as cancer, diabetes and neurodegenerative disorders. It has also been postulated to be an important mechanism for functional cellular diversity, including the brain. Early studies have characterized the spectrum of detectable mosaic alterations and have begun to investigate whether detectable mosaicism could be important as an overall biomarker for risk or in the case of hematologic cancers, identification of preleukemic clones.
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Affiliation(s)
- Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892-9776, United States
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892-9776, United States.
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40
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Su SY, Chueh HY, Li CP, Chang YL, Chang SD, Chen CP. Interphase fluorescence in situ hybridization assisting in prenatal counseling for amniocentesis karyotyping-detected fetal mosaicism. Taiwan J Obstet Gynecol 2016; 54:588-91. [PMID: 26522116 DOI: 10.1016/j.tjog.2015.08.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Accepted: 07/08/2015] [Indexed: 10/22/2022] Open
Abstract
OBJECTIVE To evaluate how interphase fluorescence in situ hybridization (FISH) played a role in genetic counseling when encountering prenatally detected fetal mosaicism cases. MATERIALS AND METHODS We retrospectively reviewed 17 cases of amniotic fluid specimens diagnosed with Level III chromosome mosaicism using in situ coverslip culture method. Among them, seven received additional interphase FISH tests; five were related to autosomal mosaicism and two others were due to sex chromosomes. RESULTS In the autosome group, one couple chose to terminate the pregnancy due to a high percentage of trisomy 21 cells (48.1%) shown on interphase FISH; in the gonosome group, one case chose termination as FISH exhibited as high as 80% of XXYY cells. CONCLUSION Performing interphase FISH on uncultured amniocytes for cases detected with mosaicism by traditional amniotic fluid culture provided quick confirmation of the karyotyping results; additionally, obtaining information about the extent of the abnormality involved using interphase FISH could also play a role in counseling patients on the decision making concerning the future of their pregnancies.
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Affiliation(s)
- Sheng-Yuan Su
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Lin-Kou Medical Center, Chang Gung University, Taoyuan, Taiwan
| | - Ho-Yen Chueh
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Lin-Kou Medical Center, Chang Gung University, Taoyuan, Taiwan
| | - Ching-Pei Li
- Cytogenetic Laboratory, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yao-Lung Chang
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Lin-Kou Medical Center, Chang Gung University, Taoyuan, Taiwan
| | - Shuenn-Dyh Chang
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Lin-Kou Medical Center, Chang Gung University, Taoyuan, Taiwan.
| | - Chih-Ping Chen
- Department of Obstetrics and Gynecology, Mackay Memorial Hospital, Taipei, Taiwan; Department of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan; Department of Biotechnology, Asia University, Taichung, Taiwan; School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan; Institute of Clinical and Community Health Nursing, National Yang-Ming University, Taipei, Taiwan; Department of Obstetrics and Gynecology, School of Medicine, National Yang-Ming University, Taipei, Taiwan
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41
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Naoufal R, Legendre M, Couet D, Gilbert-Dussardier B, Kitzis A, Bilan F, Harbuz R. Association of structural and numerical anomalies of chromosome 22 in a patient with syndromic intellectual disability. Eur J Med Genet 2016; 59:483-7. [PMID: 27452446 DOI: 10.1016/j.ejmg.2016.07.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 06/02/2016] [Accepted: 07/17/2016] [Indexed: 12/28/2022]
Abstract
Array comparative genomic hybridization (aCGH) is now widely adopted as a first-tier clinical diagnostic test for patients with developmental delay (DD)/intellectual disability (ID), autism spectrum disorders, and multiple congenital anomalies. Nevertheless, classic karyotyping still has its impact in diagnosing genetic diseases, particularly mosaic cases. We report on a 30 year old patient with syndromic intellectual disability, a 22q13.2 microdeletion and mosaic trisomy 22. The patient had the following clinical features: intrauterine growth retardation at birth, hypotonia, cryptorchidism, facial asymmetry, enophthalmus, mild prognathism, bifid uvula, hypoplastic upper limb phalanges, DD including speech delay, and ID. Whole genome aCGH showed a de novo 1 Mb interstitial heterozygous deletion in 22q13.2, confirmed by fluorescence in situ hybridization in all cells examined. Moreover, 18% cells had an extra chromosome 22 suggesting a trisomy 22 mosaicism. Almost all 22q13 deletions published so far have been terminal deletions with variable sizes (100 kb to over 9 Mb). Very few cases of interstitial 22q13.2 deletions were reported. In its mosaic form, trisomy 22 is compatible with life, and there are about 20 reports in the literature. It has a variable clinical presentation: growth restriction, dysmorphic features, cardiovascular abnormalities, hemihyperplasia, genitourinary tract anomalies and ID. Neurodevelopmental outcome ranges from normal to severe DD. The patient presents clinical features that are common to both the interstitial 22q13 deletion and the mosaic trisomy 22; characteristics related to the interstitial deletion alone and others explained solely by the mosaic trisomy. Our case points out the role of conventional cytogenetic tools in mosaic cases that could be missed by microarray technology. We therefore suggest the combination of both conventional and molecular karyotyping in the investigation of certain genetic diseases.
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Affiliation(s)
- Rania Naoufal
- Service de Génétique, Centre de Référence Anomalies du Développement Ouest, CHU de Poitiers, France.
| | - Marine Legendre
- Service de Génétique, Centre de Référence Anomalies du Développement Ouest, CHU de Poitiers, France; EA 3808, Université de Poitiers, France
| | - Dominique Couet
- Service de Génétique, Centre de Référence Anomalies du Développement Ouest, CHU de Poitiers, France; EA 3808, Université de Poitiers, France
| | - Brigitte Gilbert-Dussardier
- Service de Génétique, Centre de Référence Anomalies du Développement Ouest, CHU de Poitiers, France; EA 3808, Université de Poitiers, France
| | - Alain Kitzis
- Service de Génétique, Centre de Référence Anomalies du Développement Ouest, CHU de Poitiers, France; EA 3808, Université de Poitiers, France
| | - Frederic Bilan
- Service de Génétique, Centre de Référence Anomalies du Développement Ouest, CHU de Poitiers, France; EA 3808, Université de Poitiers, France
| | - Radu Harbuz
- Service de Génétique, Centre de Référence Anomalies du Développement Ouest, CHU de Poitiers, France; EA 3808, Université de Poitiers, France
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42
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Machiela MJ, Zhou W, Karlins E, Sampson JN, Freedman ND, Yang Q, Hicks B, Dagnall C, Hautman C, Jacobs KB, Abnet CC, Aldrich MC, Amos C, Amundadottir LT, Arslan AA, Beane-Freeman LE, Berndt SI, Black A, Blot WJ, Bock CH, Bracci PM, Brinton LA, Bueno-de-Mesquita HB, Burdett L, Buring JE, Butler MA, Canzian F, Carreón T, Chaffee KG, Chang IS, Chatterjee N, Chen C, Chen C, Chen K, Chung CC, Cook LS, Crous Bou M, Cullen M, Davis FG, De Vivo I, Ding T, Doherty J, Duell EJ, Epstein CG, Fan JH, Figueroa JD, Fraumeni JF, Friedenreich CM, Fuchs CS, Gallinger S, Gao YT, Gapstur SM, Garcia-Closas M, Gaudet MM, Gaziano JM, Giles GG, Gillanders EM, Giovannucci EL, Goldin L, Goldstein AM, Haiman CA, Hallmans G, Hankinson SE, Harris CC, Henriksson R, Holly EA, Hong YC, Hoover RN, Hsiung CA, Hu N, Hu W, Hunter DJ, Hutchinson A, Jenab M, Johansen C, Khaw KT, Kim HN, Kim YH, Kim YT, Klein AP, Klein R, Koh WP, Kolonel LN, Kooperberg C, Kraft P, Krogh V, Kurtz RC, LaCroix A, Lan Q, Landi MT, Marchand LL, Li D, Liang X, Liao LM, Lin D, Liu J, Lissowska J, Lu L, Magliocco AM, Malats N, Matsuo K, McNeill LH, McWilliams RR, Melin BS, Mirabello L, Moore L, Olson SH, Orlow I, Park JY, Patiño-Garcia A, Peplonska B, Peters U, Petersen GM, Pooler L, Prescott J, Prokunina-Olsson L, Purdue MP, Qiao YL, Rajaraman P, Real FX, Riboli E, Risch HA, Rodriguez-Santiago B, Ruder AM, Savage SA, Schumacher F, Schwartz AG, Schwartz KL, Seow A, Wendy Setiawan V, Severi G, Shen H, Sheng X, Shin MH, Shu XO, Silverman DT, Spitz MR, Stevens VL, Stolzenberg-Solomon R, Stram D, Tang ZZ, Taylor PR, Teras LR, Tobias GS, Van Den Berg D, Visvanathan K, Wacholder S, Wang JC, Wang Z, Wentzensen N, Wheeler W, White E, Wiencke JK, Wolpin BM, Wong MP, Wu C, Wu T, Wu X, Wu YL, Wunder JS, Xia L, Yang HP, Yang PC, Yu K, Zanetti KA, Zeleniuch-Jacquotte A, Zheng W, Zhou B, Ziegler RG, Perez-Jurado LA, Caporaso NE, Rothman N, Tucker M, Dean MC, Yeager M, Chanock SJ. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome. Nat Commun 2016; 7:11843. [PMID: 27291797 PMCID: PMC4909985 DOI: 10.1038/ncomms11843] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2015] [Accepted: 05/06/2016] [Indexed: 02/07/2023] Open
Abstract
To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events >2 Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases.
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Affiliation(s)
- Mitchell J. Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Eric Karlins
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Joshua N. Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Qi Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Casey Dagnall
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Christopher Hautman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Kevin B. Jacobs
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
- Bioinformed, LLC, Gaithersburg, Maryland 20877, USA
| | - Christian C. Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Melinda C. Aldrich
- Department of Thoracic Surgery, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
| | - Christopher Amos
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Laufey T. Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Alan A. Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, New York 10016, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, New York 10016, USA
- New York University Cancer Institute, New York, New York 10016, USA
| | - Laura E. Beane-Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
- International Epidemiology Institute, Rockville, Maryland 20850, USA
| | - Cathryn H. Bock
- Karmanos Cancer Institute and Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94143, USA
| | - Louise A. Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - H Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), 3721 Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Center, 3584 CX Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London SW7 2AZ, UK
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Julie E. Buring
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
| | - Mary A. Butler
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio 45226, USA
| | - Federico Canzian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Tania Carreón
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio 45226, USA
| | - Kari G. Chaffee
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan 35053, Taiwan
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Constance Chen
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300040, China
| | - Charles C. Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Linda S. Cook
- University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - Marta Crous Bou
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Michael Cullen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Faith G. Davis
- Department of Public Health Sciences, School of Public Health, University of Alberta, Edmonton, Alberta, Canada T6G 2R3
| | - Immaculata De Vivo
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Ti Ding
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, China
| | - Jennifer Doherty
- Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire 03755, USA
| | - Eric J. Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Bellvitge Biomedical Research Institute, Catalan Institute of Oncology (ICO-IDIBELL), 08908 Barcelona, Spain
| | - Caroline G. Epstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Jin-Hu Fan
- Shanghai Cancer Institute, Shanghai 200032, China
| | - Jonine D. Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Joseph F. Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Christine M. Friedenreich
- Department of Population Health Research, Cancer Control Alberta, Alberta Health Services, Calgary, Alberta, Canada T2N 2T9
| | - Charles S. Fuchs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Steven Gallinger
- Fred A Litwin Centre for Cancer Genetics, Samuel Lunenfeld Research Institute, Toronto, Ontario, Canada M5G 1X5
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotaong University School of Medicine, Shanghai 200032, China
| | - Susan M. Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Montserrat Garcia-Closas
- Division of Genetics and Epidemiology, and Breakthrough Breast Cancer Centre, Institute for Cancer Research, London SM2 5NG, UK
| | - Mia M. Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - J. Michael Gaziano
- Divisions of Preventive Medicine and Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Massachusetts Veterans Epidemiology Research and Information Center/VA Cooperative Studies Programs, Veterans Affairs Boston Healthcare System, Boston, Massachusetts 02130, USA
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria & Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Elizabeth M. Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Edward L. Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Lynn Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Alisa M. Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Christopher A. Haiman
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Goran Hallmans
- Department of Public Health and Clinical Medicine/Nutritional Research, Umeå University, 901 87 Umeå, Sweden
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, Massachusetts 01003, USA
| | - Curtis C. Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Roger Henriksson
- Department of Radiation Sciences, Oncology, Umeå University, 901 87 Umeå, Sweden
| | - Elizabeth A. Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94143, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 151-742, Republic of Korea
| | - Robert N. Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Chao A. Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - David J. Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Mazda Jenab
- International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France
| | - Christoffer Johansen
- Oncology, Finsen Centre, Rigshospitalet, 2100 Copenhagen, Denmark
- Unit of Survivorship Research, The Danish Cancer Society Research Centre, 2100 Copenhagen, Denmark
| | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge CB2 1TN, UK
| | - Hee Nam Kim
- Center for Creative Biomedical Scientists, Chonnam National University, Gwangju 500-757, Republic of Korea
| | - Yeul Hong Kim
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul 151-742, Republic of Korea
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Alison P. Klein
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Robert Klein
- Program in Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, New York, 10065, USA
| | - Woon-Puay Koh
- Duke-NUS Graduate Medical School, Singapore 169857, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore
| | - Laurence N. Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano 20133, Italy
| | - Robert C. Kurtz
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA
| | - Andrea LaCroix
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Xiaolin Liang
- Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA
| | - Linda M. Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Dongxin Lin
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jianjun Liu
- Department of Human Genetics, Genome Institute of Singapore 138672, Singapore
- School of Life Sciences, Anhui Medical University, Hefei 230032, China
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Maria Sklodowska-Curie Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Lingeng Lu
- Yale School of Public Health, New Haven, Connecticut 06510, USA
| | | | - Nuria Malats
- Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain
| | - Keitaro Matsuo
- Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan
| | - Lorna H. McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, and Center for Community-Engaged Translational Research, Duncan Family Institute, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | | | - Beatrice S. Melin
- Department of Radiation Sciences, Oncology, Umeå University, 901 87 Umeå, Sweden
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Lee Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Sara H. Olson
- Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA
| | - Irene Orlow
- Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu 101, Republic of Korea
| | - Ana Patiño-Garcia
- Department of Pediatrics, University Clinic of Navarra, Universidad de Navarra, IdiSNA, Navarra Institute for Health Research, Pamplona 31080, Spain
| | - Beata Peplonska
- Nofer Institute of Occupational Medicine, Lodz 91-348, Poland
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Gloria M. Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Loreall Pooler
- University of Southern California, Los Angeles, California 90007, USA
| | - Jennifer Prescott
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Mark P. Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - You-Lin Qiao
- Department of Epidemiology, Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Francisco X. Real
- Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain
| | - Elio Riboli
- Division of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Harvey A. Risch
- Yale School of Public Health, New Haven, Connecticut 06510, USA
| | - Benjamin Rodriguez-Santiago
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, 28029, Spain
- Quantitative Genomic Medicine Laboratory, qGenomics, Barcelona 08003, Spain
| | - Avima M. Ruder
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio 45226, USA
| | - Sharon A. Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Fredrick Schumacher
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Ann G. Schwartz
- Karmanos Cancer Institute and Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Kendra L. Schwartz
- Karmanos Cancer Institute and Department of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore
| | - Veronica Wendy Setiawan
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria & Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia
- Human Genetics Foundation (HuGeF), Torino, 10126, Italy
| | - Hongbing Shen
- Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, Nanjing 210029, China
- Department of Epidemiology, Nanjing Medical University School of Public Health, Nanjing 210029, China
| | - Xin Sheng
- University of Southern California, Los Angeles, California 90007, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwanju 501-746, Republic of Korea
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
| | - Debra T. Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | | | - Victoria L. Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Rachael Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Daniel Stram
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Ze-Zhong Tang
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, China
| | - Philip R. Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Lauren R. Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Geoffrey S. Tobias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - David Van Den Berg
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine at the University of Southern California, Los Angeles, California 90033, USA
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21218, USA
| | - Sholom Wacholder
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Jiu-Cun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - William Wheeler
- Information Management Services Inc., Calverton, Maryland, 20904, USA
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - John K. Wiencke
- University of California San Francisco, San Francisco, California 94143, USA
| | - Brian M. Wolpin
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Maria Pik Wong
- Department of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chen Wu
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Tangchun Wu
- Institute of Occupational Medicine and Ministry of Education Key Laboratory for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan 430400, China
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou 515200, China
| | - Jay S. Wunder
- Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou 515200, China
| | - Lucy Xia
- University of Southern California, Los Angeles, California 90007, USA
| | - Hannah P. Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Pan-Chyr Yang
- Division of Urologic Surgery, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Krista A. Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Anne Zeleniuch-Jacquotte
- New York University Cancer Institute, New York, New York 10016, USA
- Department of Population Health, New York University School of Medicine, New York, New York 10016, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110001, China
| | - Regina G. Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Luis A. Perez-Jurado
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, 28029, Spain
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Michael C. Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc., Bethesda, Maryland 20892, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA
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Chen CP, Wang YL, Chern SR, Wu PS, Chen YN, Chen SW, Chen LF, Lee MS, Yang CW, Wang W. Prenatal diagnosis and molecular cytogenetic characterization of low-level true mosaicism for trisomy 21 using uncultured amniocytes. Taiwan J Obstet Gynecol 2016; 55:285-7. [DOI: 10.1016/j.tjog.2016.02.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/24/2016] [Indexed: 11/17/2022] Open
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Roy S, Tapadar A, Kundu R, Ghosh S, Halder A. Cytogenetic variations in a series of cases of Down Syndrome. J ANAT SOC INDIA 2015. [DOI: 10.1016/j.jasi.2015.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Machiela MJ, Zhou W, Sampson JN, Dean MC, Jacobs KB, Black A, Brinton LA, Chang IS, Chen C, Chen C, Chen K, Cook LS, Crous Bou M, De Vivo I, Doherty J, Friedenreich CM, Gaudet MM, Haiman CA, Hankinson SE, Hartge P, Henderson BE, Hong YC, Hosgood HD, Hsiung CA, Hu W, Hunter DJ, Jessop L, Kim HN, Kim YH, Kim YT, Klein R, Kraft P, Lan Q, Lin D, Liu J, Le Marchand L, Liang X, Lissowska J, Lu L, Magliocco AM, Matsuo K, Olson SH, Orlow I, Park JY, Pooler L, Prescott J, Rastogi R, Risch HA, Schumacher F, Seow A, Setiawan VW, Shen H, Sheng X, Shin MH, Shu XO, VanDen Berg D, Wang JC, Wentzensen N, Wong MP, Wu C, Wu T, Wu YL, Xia L, Yang HP, Yang PC, Zheng W, Zhou B, Abnet CC, Albanes D, Aldrich MC, Amos C, Amundadottir LT, Berndt SI, Blot WJ, Bock CH, Bracci PM, Burdett L, Buring JE, Butler MA, Carreón T, Chatterjee N, Chung CC, Cook MB, Cullen M, Davis FG, Ding T, Duell EJ, Epstein CG, Fan JH, Figueroa JD, Fraumeni JF, Freedman ND, Fuchs CS, Gao YT, Gapstur SM, Patiño-Garcia A, Garcia-Closas M, Gaziano JM, Giles GG, Gillanders EM, Giovannucci EL, Goldin L, Goldstein AM, Greene MH, Hallmans G, Harris CC, Henriksson R, Holly EA, Hoover RN, Hu N, Hutchinson A, Jenab M, Johansen C, Khaw KT, Koh WP, Kolonel LN, Kooperberg C, Krogh V, Kurtz RC, LaCroix A, Landgren A, Landi MT, Li D, Liao LM, Malats N, McGlynn KA, McNeill LH, McWilliams RR, Melin BS, Mirabello L, Peplonska B, Peters U, Petersen GM, Prokunina-Olsson L, Purdue M, Qiao YL, Rabe KG, Rajaraman P, Real FX, Riboli E, Rodríguez-Santiago B, Rothman N, Ruder AM, Savage SA, Schwartz AG, Schwartz KL, Sesso HD, Severi G, Silverman DT, Spitz MR, Stevens VL, Stolzenberg-Solomon R, Stram D, Tang ZZ, Taylor PR, Teras LR, Tobias GS, Viswanathan K, Wacholder S, Wang Z, Weinstein SJ, Wheeler W, White E, Wiencke JK, Wolpin BM, Wu X, Wunder JS, Yu K, Zanetti KA, Zeleniuch-Jacquotte A, Ziegler RG, de Andrade M, Barnes KC, Beaty TH, Bierut LJ, Desch KC, Doheny KF, Feenstra B, Ginsburg D, Heit JA, Kang JH, Laurie CA, Li JZ, Lowe WL, Marazita ML, Melbye M, Mirel DB, Murray JC, Nelson SC, Pasquale LR, Rice K, Wiggs JL, Wise A, Tucker M, Pérez-Jurado LA, Laurie CC, Caporaso NE, Yeager M, Chanock SJ. Characterization of large structural genetic mosaicism in human autosomes. Am J Hum Genet 2015; 96:487-97. [PMID: 25748358 PMCID: PMC4375431 DOI: 10.1016/j.ajhg.2015.01.011] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Accepted: 01/12/2015] [Indexed: 01/30/2023] Open
Abstract
Analyses of genome-wide association study (GWAS) data have revealed that detectable genetic mosaicism involving large (>2 Mb) structural autosomal alterations occurs in a fraction of individuals. We present results for a set of 24,849 genotyped individuals (total GWAS set II [TGSII]) in whom 341 large autosomal abnormalities were observed in 168 (0.68%) individuals. Merging data from the new TGSII set with data from two prior reports (the Gene-Environment Association Studies and the total GWAS set I) generated a large dataset of 127,179 individuals; we then conducted a meta-analysis to investigate the patterns of detectable autosomal mosaicism (n = 1,315 events in 925 [0.73%] individuals). Restricting to events >2 Mb in size, we observed an increase in event frequency as event size decreased. The combined results underscore that the rate of detectable mosaicism increases with age (p value = 5.5 × 10(-31)) and is higher in men (p value = 0.002) but lower in participants of African ancestry (p value = 0.003). In a subset of 47 individuals from whom serial samples were collected up to 6 years apart, complex changes were noted over time and showed an overall increase in the proportion of mosaic cells as age increased. Our large combined sample allowed for a unique ability to characterize detectable genetic mosaicism involving large structural events and strengthens the emerging evidence of non-random erosion of the genome in the aging population.
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Affiliation(s)
- Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Michael C Dean
- Laboratory of Experimental Immunology, Center for Cancer Research, National Cancer Institute at Frederick, NIH, Frederick, MD 21702, USA
| | - Kevin B Jacobs
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA; BioInformed LLC, Gaithersburg, MD 20877, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan 35053, Taiwan, ROC
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Constance Chen
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300040, People's Republic of China
| | - Linda S Cook
- University of New Mexico, Albuquerque, NM 87131, USA
| | - Marta Crous Bou
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Immaculata De Vivo
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Jennifer Doherty
- Geisel School of Medicine, Dartmouth College, Lebanon, NH 03755, USA
| | - Christine M Friedenreich
- Department of Population Health Research, CancerControl Alberta, Alberta Health Services, Calgary, AB T2N 2T9, Canada
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul 151-742, Republic of Korea
| | - H Dean Hosgood
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Chao A Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan, ROC
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Lea Jessop
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Hee Nam Kim
- Center for Creative Biomedical Scientists, Chonnam National University, Gwangju 500-757, Republic of Korea
| | - Yeul Hong Kim
- Division of Oncology/Hematology, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, Seoul 151-742, Republic of Korea
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, College of Medicine, Seoul National University, Seoul 151-742, Republic of Korea
| | - Robert Klein
- Program in Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Dongxin Lin
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China; State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China
| | - Jianjun Liu
- Department of Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore; School of Life Sciences, Anhui Medical University, Hefei 230032, People's Republic of China
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Maria Sklodowska-Curie Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Lingeng Lu
- Yale School of Public Health, New Haven, CT 06510, USA
| | | | - Keitaro Matsuo
- Department of Preventive Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka 819-0395, Japan
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu 101, Republic of Korea
| | - Loreall Pooler
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Jennifer Prescott
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Radhai Rastogi
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Fredrick Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore
| | - Veronica Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Hongbing Shen
- Jiangsu Key Laboratory of Cancer Biomarkers, Prevention, and Treatment, Nanjing Medical University, Nanjing 210029, People's Republic of China; Ministry of Education Key Laboratory of Modern Toxicology, Nanjing Medical University, Nanjing 210029, People's Republic of China
| | - Xin Sheng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwanju 501-746, Republic of Korea
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - David VanDen Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jiu-Cun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, People's Republic of China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200433, People's Republic of China
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Maria Pik Wong
- Department of Pathology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Chen Wu
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China; State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China
| | - Tangchun Wu
- Institute of Occupational Medicine and Ministry of Education Key Laboratory for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan 430400, People's Republic of China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou 515200, People's Republic of China
| | - Lucy Xia
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Pan-Chyr Yang
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei 10617, Taiwan, ROC
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110001, People's Republic of China
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Melinda C Aldrich
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Thoracic Surgery, School of Medicine, Vanderbilt University, Nashville, TN 37232, USA
| | - Christopher Amos
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; International Epidemiology Institute, Rockville, MD 20850, USA
| | - Cathryn H Bock
- Karmanos Cancer Institute and Department of Oncology, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Mary A Butler
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA
| | - Tania Carreón
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Michael Cullen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Faith G Davis
- Department of Public Health Sciences, School of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Ti Ding
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, People's Republic of China
| | - Eric J Duell
- Unit of Nutrition, Environment, and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute,, Barcelona 08908, Spain
| | - Caroline G Epstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Jin-Hu Fan
- Shanghai Cancer Institute, Shanghai 200032, People's Republic of China
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Charles S Fuchs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiaotaong University Shanghai 200032, People's Republic of China
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Ana Patiño-Garcia
- Department of Pediatrics, University Clinic of Navarra, Universidad de Navarra, Pamplona 31080, Spain
| | - Montserrat Garcia-Closas
- Division of Genetics and Epidemiology and Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London, Surrey SM2 5NG, UK
| | - J Michael Gaziano
- Divisions of Preventive Medicine and Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Massachusetts Veterans Epidemiology Research and Information Center and Cooperative Studies Programs, Veterans Affairs Boston Healthcare System, Boston, MA 02130, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Elizabeth M Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Lynn Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Mark H Greene
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Goran Hallmans
- Nutritional Research Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå 901 87, Sweden
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Roger Henriksson
- Department of Oncology, Department of Radiation Sciences, Umeå University, Umeå 901 87, Sweden
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Mazda Jenab
- International Agency for Research on Cancer, Lyon 69372, France
| | - Christoffer Johansen
- Department of Oncology, Finsen Centre, Rigshospitalet, Copenhagen 2100, Denmark; Unit of Survivorship Research, Danish Cancer Society Research Centre, Copenhagen 2100, Denmark
| | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge CB2 1TN, UK
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore; Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano 20133, Italy
| | - Robert C Kurtz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Andrea LaCroix
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Annelie Landgren
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Nuria Malats
- Spanish National Cancer Research Centre, Madrid 28029, Spain
| | - Katherine A McGlynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Lorna H McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Community-Engaged Translational Research, Duncan Family Institute, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Beatrice S Melin
- Department of Oncology, Department of Radiation Sciences, Umeå University, Umeå 901 87, Sweden
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Beata Peplonska
- Nofer Institute of Occupational Medicine, Lodz 91-348, Poland
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Mark Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - You-Lin Qiao
- Department of Epidemiology, Cancer Institute, Chinese Academy of Medical Sciences, Beijing 100730, People's Republic of China
| | - Kari G Rabe
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Francisco X Real
- Spanish National Cancer Research Centre, Madrid 28029, Spain; Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain
| | - Elio Riboli
- Division of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Benjamín Rodríguez-Santiago
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras, Barcelona 08003, Spain; Quantitative Genomic Medicine Laboratory, qGenomics, Barcelona 08003, Spain
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Avima M Ruder
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Ann G Schwartz
- Karmanos Cancer Institute and Department of Oncology, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Kendra L Schwartz
- Karmanos Cancer Institute and Department of Family Medicine and Public Health Sciences, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Howard D Sesso
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia; Human Genetics Foundation, Torino 10126, Italy
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | | | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | | | - Daniel Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Ze-Zhong Tang
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, People's Republic of China
| | - Philip R Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Geoffrey S Tobias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Kala Viswanathan
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Sholom Wacholder
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - William Wheeler
- Information Management Services Inc., Calverton, MD 20904, USA
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - John K Wiencke
- University of California, San Francisco, San Francisco, CA 94143, USA
| | - Brian M Wolpin
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jay S Wunder
- Division of Urologic Surgery, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Krista A Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, School of Medicine, New York University, New York, NY 10016, USA; Perlmutter Cancer Institute, New York University, New York, NY 10016, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Kathleen C Barnes
- School of Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Terri H Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Laura J Bierut
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Karl C Desch
- Department of Pediatrics and Communicable Diseases, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kimberly F Doheny
- Center for Inherited Disease Research, Institute of Genetic Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - David Ginsburg
- Howard Hughes Medical Institute and Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - John A Heit
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Jae H Kang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Cecilia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jun Z Li
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - William L Lowe
- Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60208, USA
| | - Mary L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral Biology School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark; Department of Medicine, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Daniel B Mirel
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Jeffrey C Murray
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Louis R Pasquale
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard University, Boston, MA 02114, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard University, Boston, MA 02114, USA
| | - Anastasia Wise
- Office of Population Genomics, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Luis A Pérez-Jurado
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras, Barcelona 08003, Spain; Hospital del Mar Research Institute, Barcelona 08003, Spain
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
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Papavassiliou P, Charalsawadi C, Rafferty K, Jackson-Cook C. Mosaicism for trisomy 21: a review. Am J Med Genet A 2014; 167A:26-39. [PMID: 25412855 DOI: 10.1002/ajmg.a.36861] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2014] [Accepted: 10/15/2014] [Indexed: 01/16/2023]
Abstract
The clinical and cytogenetic findings associated with mosaicism for trisomy 21/Down syndrome are the focus of this review. The primary topics discussed in this overview of the extant literature include the history of this condition and its diagnosis, the incidence of mosaicism, the meiotic and/or mitotic chromosomal malsegregation events resulting in mosaicism, the observation of mosaicism in the parents of children with the non-mosaic form of Down syndrome, and the variation in phenotypic outcome for both constitutional and acquired traits present in people with mosaicism for trisomy 21/Down syndrome, including cognition, fertility, and overall phenotypic findings. Additional topics reviewed include the social conditions of people with mosaicism, as well as age-related and epigenetic alterations observed in people with mosaicism for trisomy 21/Down syndrome. .
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Affiliation(s)
- Paulie Papavassiliou
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia
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Cohen ASA, Wilson SL, Trinh J, Ye XC. Detecting somatic mosaicism: considerations and clinical implications. Clin Genet 2014; 87:554-62. [PMID: 25223253 DOI: 10.1111/cge.12502] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Revised: 09/09/2014] [Accepted: 09/11/2014] [Indexed: 01/04/2023]
Abstract
Human disease is rarely a matter of all or nothing; variable expressivity is generally observed. Part of this variability is explained by somatic mosaicism, which can arise by a myriad of genetic alterations. These can take place at any stage of development, possibly leading to unusual features visible at birth, but can also occur later in life, conceivably leading to cancer. Previously, detection of somatic mosaicism was extremely challenging, as many gold standard tests lacked the necessary resolution. However, with the advances in high-throughput sequencing, mosaicism is being detected more frequently and at lower levels. This raises the issue of normal variation within each individual vs mosaicism leading to disease, and how to distinguish between the two. In this article, we will define somatic mosaicism with a brief overview of its main mechanisms in concrete clinical examples, discuss the impact of next-generation sequencing technologies in its detection, and expand on the clinical implications associated with a discovery of somatic mosaicism in the clinic.
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Affiliation(s)
- A S A Cohen
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada; Child and Family Research Institute, Vancouver, Canada
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Affiliation(s)
- Rita Shiang
- Department of Human and Molecular Genetics, Virginia Commonwealth University, PO Box 980033, Richmond, VA 23298-0033, USA.
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Berko ER, Suzuki M, Beren F, Lemetre C, Alaimo CM, Calder RB, Ballaban-Gil K, Gounder B, Kampf K, Kirschen J, Maqbool SB, Momin Z, Reynolds DM, Russo N, Shulman L, Stasiek E, Tozour J, Valicenti-McDermott M, Wang S, Abrahams BS, Hargitai J, Inbar D, Zhang Z, Buxbaum JD, Molholm S, Foxe JJ, Marion RW, Auton A, Greally JM. Mosaic epigenetic dysregulation of ectodermal cells in autism spectrum disorder. PLoS Genet 2014; 10:e1004402. [PMID: 24875834 PMCID: PMC4038484 DOI: 10.1371/journal.pgen.1004402] [Citation(s) in RCA: 86] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Accepted: 04/09/2014] [Indexed: 12/22/2022] Open
Abstract
DNA mutational events are increasingly being identified in autism spectrum disorder (ASD), but the potential additional role of dysregulation of the epigenome in the pathogenesis of the condition remains unclear. The epigenome is of interest as a possible mediator of environmental effects during development, encoding a cellular memory reflected by altered function of progeny cells. Advanced maternal age (AMA) is associated with an increased risk of having a child with ASD for reasons that are not understood. To explore whether AMA involves covert aneuploidy or epigenetic dysregulation leading to ASD in the offspring, we tested a homogeneous ectodermal cell type from 47 individuals with ASD compared with 48 typically developing (TD) controls born to mothers of ≥35 years, using a quantitative genome-wide DNA methylation assay. We show that DNA methylation patterns are dysregulated in ectodermal cells in these individuals, having accounted for confounding effects due to subject age, sex and ancestral haplotype. We did not find mosaic aneuploidy or copy number variability to occur at differentially-methylated regions in these subjects. Of note, the loci with distinctive DNA methylation were found at genes expressed in the brain and encoding protein products significantly enriched for interactions with those produced by known ASD-causing genes, representing a perturbation by epigenomic dysregulation of the same networks compromised by DNA mutational mechanisms. The results indicate the presence of a mosaic subpopulation of epigenetically-dysregulated, ectodermally-derived cells in subjects with ASD. The epigenetic dysregulation observed in these ASD subjects born to older mothers may be associated with aging parental gametes, environmental influences during embryogenesis or could be the consequence of mutations of the chromatin regulatory genes increasingly implicated in ASD. The results indicate that epigenetic dysregulatory mechanisms may complement and interact with DNA mutations in the pathogenesis of the disorder.
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Affiliation(s)
- Esther R. Berko
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Masako Suzuki
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Faygel Beren
- Stern College for Women, Yeshiva University, New York, New York, United States of America
| | - Christophe Lemetre
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Christine M. Alaimo
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory, Children's Evaluation and Rehabilitation Center, and Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - R. Brent Calder
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Karen Ballaban-Gil
- Department of Neurology, Children's Hospital at Montefiore, Bronx, New York, United States of America
| | - Batya Gounder
- Stern College for Women, Yeshiva University, New York, New York, United States of America
| | - Kaylee Kampf
- Stern College for Women, Yeshiva University, New York, New York, United States of America
| | - Jill Kirschen
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Shahina B. Maqbool
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Zeineen Momin
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - David M. Reynolds
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Natalie Russo
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory, Children's Evaluation and Rehabilitation Center, and Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States of America
- Department of Psychology, The College of Arts and Sciences, Syracuse University, Syracuse, New York, United States of America
| | - Lisa Shulman
- Children's Evaluation and Rehabilitation Center, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Edyta Stasiek
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Jessica Tozour
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Maria Valicenti-McDermott
- Children's Evaluation and Rehabilitation Center, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Shenglong Wang
- Information Technology Services, New York University, New York, New York, United States of America
| | - Brett S. Abrahams
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
- Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Joseph Hargitai
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Dov Inbar
- Child Development and Rehabilitation Institute, Schneider Children's Medical Center, Petach Tikvah, Israel
| | - Zhengdong Zhang
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Joseph D. Buxbaum
- Seaver Autism Center for Research and Treatment, Departments of Psychiatry, Neuroscience, and Genetics and Genomic Sciences, and the Friedman Brain Institute, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Sophie Molholm
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory, Children's Evaluation and Rehabilitation Center, and Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - John J. Foxe
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory, Children's Evaluation and Rehabilitation Center, and Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Robert W. Marion
- Children's Evaluation and Rehabilitation Center, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Adam Auton
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - John M. Greally
- Center for Epigenomics and Department of Genetics (Division of Computational Genetics), Albert Einstein College of Medicine, Bronx, New York, United States of America
- * E-mail:
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Nagata N, Yamanaka S. Perspectives for induced pluripotent stem cell technology: new insights into human physiology involved in somatic mosaicism. Circ Res 2014; 114:505-10. [PMID: 24481841 DOI: 10.1161/circresaha.114.303043] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Induced pluripotent stem cell technology makes in vitro reprogramming of somatic cells from individuals with various genetic backgrounds possible. By applying this technology, it is possible to produce pluripotent stem cells from biopsy samples of arbitrarily selected individuals with various genetic backgrounds and to subsequently maintain, expand, and stock these cells. From these induced pluripotent stem cells, target cells and tissues can be generated after certain differentiation processes. These target cells/tissues are expected to be useful in regenerative medicine, disease modeling, drug screening, toxicology testing, and proof-of-concept studies in drug development. Therefore, the number of publications concerning induced pluripotent stem cells has recently been increasing rapidly, demonstrating that this technology has begun to infiltrate many aspects of stem cell biology and medical applications. In this review, we discuss the perspectives of induced pluripotent stem cell technology for modeling human diseases. In particular, we focus on the cloning event occurring through the reprogramming process and its ability to let us analyze the development of complex disease-harboring somatic mosaicism.
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Affiliation(s)
- Naoki Nagata
- From the Department of Reprogramming Science, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan (N.N., S.Y.); and Gladstone Institute of Cardiovascular Disease, San Francisco, CA (S.Y.)
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