1
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Hong EP, Ramos EM, Aziz NA, Massey TH, McAllister B, Lobanov S, Jones L, Holmans P, Kwak S, Orth M, Ciosi M, Lomeikaite V, Monckton DG, Long JD, Lucente D, Wheeler VC, Gillis T, MacDonald ME, Sequeiros J, Gusella JF, Lee JM. Modification of Huntington's disease by short tandem repeats. Brain Commun 2024; 6:fcae016. [PMID: 38449714 PMCID: PMC10917446 DOI: 10.1093/braincomms/fcae016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/20/2023] [Accepted: 01/22/2024] [Indexed: 03/08/2024] Open
Abstract
Expansions of glutamine-coding CAG trinucleotide repeats cause a number of neurodegenerative diseases, including Huntington's disease and several of spinocerebellar ataxias. In general, age-at-onset of the polyglutamine diseases is inversely correlated with the size of the respective inherited expanded CAG repeat. Expanded CAG repeats are also somatically unstable in certain tissues, and age-at-onset of Huntington's disease corrected for individual HTT CAG repeat length (i.e. residual age-at-onset), is modified by repeat instability-related DNA maintenance/repair genes as demonstrated by recent genome-wide association studies. Modification of one polyglutamine disease (e.g. Huntington's disease) by the repeat length of another (e.g. ATXN3, CAG expansions in which cause spinocerebellar ataxia 3) has also been hypothesized. Consequently, we determined whether age-at-onset in Huntington's disease is modified by the CAG repeats of other polyglutamine disease genes. We found that the CAG measured repeat sizes of other polyglutamine disease genes that were polymorphic in Huntington's disease participants but did not influence Huntington's disease age-at-onset. Additional analysis focusing specifically on ATXN3 in a larger sample set (n = 1388) confirmed the lack of association between Huntington's disease residual age-at-onset and ATXN3 CAG repeat length. Additionally, neither our Huntington's disease onset modifier genome-wide association studies single nucleotide polymorphism data nor imputed short tandem repeat data supported the involvement of other polyglutamine disease genes in modifying Huntington's disease. By contrast, our genome-wide association studies based on imputed short tandem repeats revealed significant modification signals for other genomic regions. Together, our short tandem repeat genome-wide association studies show that modification of Huntington's disease is associated with short tandem repeats that do not involve other polyglutamine disease-causing genes, refining the landscape of Huntington's disease modification and highlighting the importance of rigorous data analysis, especially in genetic studies testing candidate modifiers.
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Affiliation(s)
- Eun Pyo Hong
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
| | - Eliana Marisa Ramos
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - N Ahmad Aziz
- Population & Clinical Neuroepidemiology, German Center for Neurodegenerative Diseases, 53127 Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn D-53113, Germany
| | - Thomas H Massey
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Branduff McAllister
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Sergey Lobanov
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Lesley Jones
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Peter Holmans
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Seung Kwak
- Molecular System Biology, CHDI Foundation, Princeton, NJ 08540, USA
| | - Michael Orth
- University Hospital of Old Age Psychiatry and Psychotherapy, Bern University, CH-3000 Bern 60, Switzerland
| | - Marc Ciosi
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Vilija Lomeikaite
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Darren G Monckton
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Jeffrey D Long
- Department of Psychiatry, Carver College of Medicine and Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA 52242, USA
| | - Diane Lucente
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Vanessa C Wheeler
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Tammy Gillis
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Marcy E MacDonald
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
| | - Jorge Sequeiros
- UnIGENe, IBMC—Institute for Molecular and Cell Biology, i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto 420-135, Portugal
- ICBAS School of Medicine and Biomedical Sciences, University of Porto, Porto 420-135, Portugal
| | - James F Gusella
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jong-Min Lee
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
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2
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Di Tella S, Lo Monaco MRI, Petracca M, Zinzi P, Solito M, Piano C, Calabresi P, Silveri MC, Bentivoglio AR. Beyond the CAG triplet number: exploring potential predictors of delayed age of onset in Huntington's disease. J Neurol 2022; 269:6634-6640. [PMID: 35915275 DOI: 10.1007/s00415-022-11297-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/15/2022] [Accepted: 07/16/2022] [Indexed: 12/01/2022]
Abstract
OBJECTIVE Huntington's disease (HD) is a genetic neurodegenerative disease characterized by cognitive, motor, and psychiatric dysfunction. It is caused by an expansion of the trinucleotide repeat sequence cytosine-adenine-guanine (CAG) in the Huntingtin gene on chromosome 4. Onset typically occurs in the fourth or fifth decade, ranging from childhood to late adulthood. The CAG triplet number is generally inversely proportional to the age of onset (AOO), but the repeat number only accounts for ∼70% of the variability in AOO. Several studies demonstrated the impact of genetic modifiers on age of disease onset. In addition to genetics, we also explored the demographic, anamnestic, and socio-environmental factors that can affect AOO, to help us understand the non-genetic variability of age of onset in HD. METHODS We analyzed the retrospective data of the ENROLL-HD global registry study, particularly focusing on the continuum of ages, to include sociodemographic, genetic, and anamnestic psychobehavioral variables in a multivariate regression model aimed at identifying the potential predictors of age of motor onset (n = 5053). We ran the same regression model in the sample of subjects who had the same number of triplets (41 CAG, n = 593) and in the sample whose family history was absent/unknown (n = 630). RESULTS Patients with delayed onset more frequently have unknown/missing family history, are married or widowed, live in larger urbanized contexts and have a lower educational level. Individuals with earlier onset more frequently develop psychobehavioral symptoms. CONCLUSIONS In the past, the HD gene was considered the epitome of genetic determinism. Our results are consistent with recent evidence that other factors might modulate its impact. These findings allow characterizing the determinants of AOO beyond the CAG expansions and provide valuable information for stratifying patients for future clinical trial designs.
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Affiliation(s)
- Sonia Di Tella
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123, Milan, Italy
| | - Maria RIta Lo Monaco
- Fondazione Policlinico Universitario 'Agostino Gemelli' IRCSS, Largo A Gemelli, 8, 00168, Rome, Italy. .,Institute of Internal Medicine and Geriatrics, Università Cattolica del Sacro Cuore, 00168, Rome, Italy.
| | - Martina Petracca
- Fondazione Policlinico Universitario 'Agostino Gemelli' IRCSS, Largo A Gemelli, 8, 00168, Rome, Italy
| | - Paola Zinzi
- Fondazione Policlinico Universitario 'Agostino Gemelli' IRCSS, Largo A Gemelli, 8, 00168, Rome, Italy
| | - Marcella Solito
- Fondazione Policlinico Universitario 'Agostino Gemelli' IRCSS, Largo A Gemelli, 8, 00168, Rome, Italy
| | - Carla Piano
- Fondazione Policlinico Universitario 'Agostino Gemelli' IRCSS, Largo A Gemelli, 8, 00168, Rome, Italy.,Institute of Neurology, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
| | - Paolo Calabresi
- Fondazione Policlinico Universitario 'Agostino Gemelli' IRCSS, Largo A Gemelli, 8, 00168, Rome, Italy.,Institute of Neurology, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
| | - Maria Caterina Silveri
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123, Milan, Italy.,Institute of Internal Medicine and Geriatrics, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
| | - Anna Rita Bentivoglio
- Fondazione Policlinico Universitario 'Agostino Gemelli' IRCSS, Largo A Gemelli, 8, 00168, Rome, Italy.,Institute of Neurology, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
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3
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da Silva IDS, Apolinário TA, de Andrade Agostinho L, Paiva CLA. Investigation of the Influence of TBP CAG/CAA Repeats in Conjunction with HTT CAG Repeats on Huntington's Disease Age at Onset in a Brazilian Sample. J Mol Neurosci 2022; 72:1116-1124. [PMID: 35275350 DOI: 10.1007/s12031-021-01938-z] [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: 07/01/2021] [Accepted: 10/26/2021] [Indexed: 11/26/2022]
Abstract
Huntington's disease (HD) is a genetic neurodegenerative progressive and fatal disease characterized by motor disorder, cognitive impairment, and behavioral problems, caused by expanded repeats of CAG trinucleotides in the HTT gene. The aim of this study was to investigate the influence of TBP gene CAG/CAA repeats in conjunction with HTT gene CAG repeats, on the age at HD onset in Brazilian individuals. Individuals diagnosed as molecularly negative for HD presented 29-39 TBP CAG/CAA. Their most frequent allele had 36 repeats. In individuals diagnosed as molecularly positive for HD, a range of 25-40 TBP CAG/ CAA was found. The most frequent TBP allele had 38 repeats. We also conducted TBP direct Sanger sequencing of some samples which demonstrated other four TBP structures different from the basic TBP structure and others reported in the literature. The HTT expanded CAG and TBP CAG/CAA repeat sizes jointly explained 66% of the age at onset (AO) in our HD patients. The strongest variable in the model associated with AO was the number of expanded HTT CAG repeats. The difference between the association of HD AO with HTT expanded CAG together with TBP CAG/CAA and the association of HD AO with HTT expanded CAG was 0.001 (∆R2). Therefore, we found a weak association (0.1%) of TBP CAG/CAA repeats on HD AO, if any.
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Affiliation(s)
- Iane Dos Santos da Silva
- Programa de Pós-Graduação em Biologia Molecular e Celular (PPGBMC), Universidade Federal do Estado do Rio de Janeiro (UNIRIO), Rio de Janeiro, RJ, Brazil
| | | | - Luciana de Andrade Agostinho
- Programa de Pós-Graduação em Neurologia, (UNIRIO), Rio de Janeiro, RJ, Brazil.
- Centro Universitário UNIFAMINAS, Muriae, Minas Gerais, Brazil.
| | - Carmen Lucia Antão Paiva
- Programa de Pós-Graduação em Biologia Molecular e Celular (PPGBMC), Universidade Federal do Estado do Rio de Janeiro (UNIRIO), Rio de Janeiro, RJ, Brazil
- Programa de Pós-Graduação em Neurologia, (UNIRIO), Rio de Janeiro, RJ, Brazil
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4
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Magrinelli F, Balint B, Bhatia KP. Challenges in Clinicogenetic Correlations: One Gene - Many Phenotypes. Mov Disord Clin Pract 2021; 8:299-310. [PMID: 33816657 PMCID: PMC8015894 DOI: 10.1002/mdc3.13165] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 12/02/2020] [Accepted: 12/19/2020] [Indexed: 12/25/2022] Open
Abstract
Background Progress in genetics – particularly the advent of next‐generation sequencing (NGS) – has enabled an unparalleled gene discovery and revealed unmatched complexity of genotype–phenotype correlations in movement disorders. Among other things, it has emerged that mutations in one and the same gene can cause multiple, often markedly different phenotypes. Consequently, movement disorder specialists have increasingly experienced challenges in clinicogenetic correlations. Objectives To deconstruct biological phenomena and mechanistic bases of phenotypic heterogeneity in monogenic movement disorders and neurodegenerative diseases. To discuss the evolving role of movement disorder specialists in reshaping disease phenotypes in the NGS era. Methods This scoping review details phenomena contributing to phenotypic heterogeneity and their underlying mechanisms. Results Three phenomena contribute to phenotypic heterogeneity, namely incomplete penetrance, variable expressivity and pleiotropy. Their underlying mechanisms, which are often shared across phenomena and non‐mutually exclusive, are not fully elucidated. They involve genetic factors (ie, different mutation types, dynamic mutations, somatic mosaicism, intragenic intra‐ and inter‐allelic interactions, modifiers and epistatic genes, mitochondrial heteroplasmy), epigenetic factors (ie, genomic imprinting, X‐chromosome inactivation, modulation of genetic and chromosomal defects), and environmental factors. Conclusion Movement disorders is unique in its reliance on clinical judgment to accurately define disease phenotypes. This has been reaffirmed by the NGS revolution, which provides ever‐growing sequencing data and fuels challenges in variant pathogenicity assertions for such clinically heterogeneous disorders. Deep phenotyping, with characterization and continual updating of “core” phenotypes, and comprehension of determinants of genotype–phenotype complex relationships are crucial for clinicogenetic correlations and have implications for the diagnosis, treatment and counseling.
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Affiliation(s)
- Francesca Magrinelli
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology University College London London United Kingdom.,Department of Neurosciences, Biomedicine and Movement Sciences University of Verona Verona Italy
| | - Bettina Balint
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology University College London London United Kingdom.,Department of Neurology University Hospital Heidelberg Heidelberg Germany
| | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology University College London London United Kingdom
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5
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Deshmukh AL, Porro A, Mohiuddin M, Lanni S, Panigrahi GB, Caron MC, Masson JY, Sartori AA, Pearson CE. FAN1, a DNA Repair Nuclease, as a Modifier of Repeat Expansion Disorders. J Huntingtons Dis 2021; 10:95-122. [PMID: 33579867 PMCID: PMC7990447 DOI: 10.3233/jhd-200448] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
FAN1 encodes a DNA repair nuclease. Genetic deficiencies, copy number variants, and single nucleotide variants of FAN1 have been linked to karyomegalic interstitial nephritis, 15q13.3 microdeletion/microduplication syndrome (autism, schizophrenia, and epilepsy), cancer, and most recently repeat expansion diseases. For seven CAG repeat expansion diseases (Huntington's disease (HD) and certain spinocerebellar ataxias), modification of age of onset is linked to variants of specific DNA repair proteins. FAN1 variants are the strongest modifiers. Non-coding disease-delaying FAN1 variants and coding disease-hastening variants (p.R507H and p.R377W) are known, where the former may lead to increased FAN1 levels and the latter have unknown effects upon FAN1 functions. Current thoughts are that ongoing repeat expansions in disease-vulnerable tissues, as individuals age, promote disease onset. Fan1 is required to suppress against high levels of ongoing somatic CAG and CGG repeat expansions in tissues of HD and FMR1 transgenic mice respectively, in addition to participating in DNA interstrand crosslink repair. FAN1 is also a modifier of autism, schizophrenia, and epilepsy. Coupled with the association of these diseases with repeat expansions, this suggests a common mechanism, by which FAN1 modifies repeat diseases. Yet how any of the FAN1 variants modify disease is unknown. Here, we review FAN1 variants, associated clinical effects, protein structure, and the enzyme's attributed functional roles. We highlight how variants may alter its activities in DNA damage response and/or repeat instability. A thorough awareness of the FAN1 gene and FAN1 protein functions will reveal if and how it may be targeted for clinical benefit.
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Affiliation(s)
- Amit L. Deshmukh
- Program of Genetics & Genome Biology, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
| | - Antonio Porro
- Institute of Molecular Cancer Research, University of Zurich, Zurich, Switzerland
| | - Mohiuddin Mohiuddin
- Program of Genetics & Genome Biology, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
| | - Stella Lanni
- Program of Genetics & Genome Biology, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
| | - Gagan B. Panigrahi
- Program of Genetics & Genome Biology, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
| | - Marie-Christine Caron
- Department of Molecular Biology, Medical Biochemistry and Pathology; Laval University Cancer Research Center, Québec City, Quebec, Canada
- Genome Stability Laboratory, CHU de Québec Research Center, HDQ Pavilion, Oncology Division, Québec City, Quebec, Canada
| | - Jean-Yves Masson
- Department of Molecular Biology, Medical Biochemistry and Pathology; Laval University Cancer Research Center, Québec City, Quebec, Canada
- Genome Stability Laboratory, CHU de Québec Research Center, HDQ Pavilion, Oncology Division, Québec City, Quebec, Canada
| | | | - Christopher E. Pearson
- Program of Genetics & Genome Biology, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
- University of Toronto, Program of Molecular Genetics, Toronto, Ontario, Canada
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6
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Gardiner SL, Trompet S, Sabayan B, Boogaard MW, Jukema JW, Slagboom PE, Roos RAC, van der Grond J, Aziz NA. Repeat variations in polyglutamine disease-associated genes and cognitive function in old age. Neurobiol Aging 2019; 84:236.e17-236.e28. [PMID: 31522753 DOI: 10.1016/j.neurobiolaging.2019.08.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 08/03/2019] [Accepted: 08/04/2019] [Indexed: 02/03/2023]
Abstract
Although the heritability of cognitive function in old age is substantial, genome-wide association studies have had limited success in elucidating its genetic basis, leaving a considerable amount of "missing heritability." Aside from single nucleotide polymorphisms, genome-wide association studies are unable to assess other large sources of genetic variation, such as tandem repeat polymorphisms. Therefore, here, we studied the association of cytosine-adenine-guanine (CAG) repeat variations in polyglutamine disease-associated genes (PDAGs) with cognitive function in older adults. In a large cohort consisting of 5786 participants, we found that the CAG repeat number in 3 PDAGs (TBP, HTT, and AR) were significantly associated with the decline in cognitive function, which together accounted for 0.49% of the variation. Furthermore, in an magnetic resonance imaging substudy, we found that CAG repeat polymorphisms in 4 PDAGs (ATXN2, CACNA1A, ATXN7, and AR) were associated with different imaging characteristics, including brain stem, putamen, globus pallidus, thalamus, and amygdala volumes. Our findings indicate that tandem repeat polymorphisms are associated with cognitive function in older adults and highlight the importance of PDAGs in elucidating its missing heritability.
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Affiliation(s)
- Sarah L Gardiner
- Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands; Department of Human Genetics, Leiden University Medical Centre, Leiden, the Netherlands.
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, the Netherlands
| | - Behnam Sabayan
- The Ken and Ruth Davee Department of Neurology, Northwestern University, Chicago, IL, USA
| | - Merel W Boogaard
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, the Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Raymund A C Roos
- Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - N Ahmad Aziz
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurology, University of Bonn, Bonn, Germany
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7
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Margolesky J, Starosta‐Rubenstein S, Verma A, Singer C. A Co-occurrence of Trinucleotide Repeat Disorders. Mov Disord Clin Pract 2018; 5:643-644. [PMID: 30637287 PMCID: PMC6277356 DOI: 10.1002/mdc3.12664] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 06/28/2018] [Accepted: 07/13/2018] [Indexed: 11/10/2022] Open
Abstract
View Supplementary Video 1
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Affiliation(s)
| | | | - Ashok Verma
- University of Miami Miller School of MedicineMiamiFloridaUSA
| | - Carlos Singer
- University of Miami Miller School of MedicineMiamiFloridaUSA
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8
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Aziz NA, Balint B. The Missing Link in Polyglutamine Diseases. Mov Disord Clin Pract 2018; 5:29-30. [DOI: 10.1002/mdc3.12558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2017] [Revised: 09/18/2017] [Accepted: 09/19/2017] [Indexed: 11/06/2022] Open
Affiliation(s)
- N. Ahmad Aziz
- Department of Neurodegenerative Disease; University College London Huntington's Disease Center; University College London Institute of Neurology; London United Kingdom
- Department of Neurology; Leiden University Medical Center; Leiden the Netherlands
| | - Bettina Balint
- Sobell Department of Motor Neuroscience and Movement Disorders; University College London Institute of Neurology; London United Kingdom
- Department of Neurology; University Hospital Heidelberg; Heidelberg Germany
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9
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Keo A, Aziz NA, Dzyubachyk O, van der Grond J, van Roon-Mom WMC, Lelieveldt BPF, Reinders MJT, Mahfouz A. Co-expression Patterns between ATN1 and ATXN2 Coincide with Brain Regions Affected in Huntington's Disease. Front Mol Neurosci 2017; 10:399. [PMID: 29249939 PMCID: PMC5714896 DOI: 10.3389/fnmol.2017.00399] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 11/15/2017] [Indexed: 02/04/2023] Open
Abstract
Cytosine-adenine-guanine (CAG) repeat expansions in the coding regions of nine polyglutamine (polyQ) genes (HTT, ATXN1, ATXN2, ATXN3, CACNA1A, ATXN7, ATN1, AR, and TBP) are the cause of several neurodegenerative diseases including Huntington’s disease (HD), six different spinocerebellar ataxias (SCAs), dentatorubral-pallidoluysian atrophy, and spinobulbar muscular atrophy. The expanded CAG repeat length in the causative gene is negatively related to the age-at-onset (AAO) of clinical symptoms. In addition to the expanded CAG repeat length in the causative gene, the normal CAG repeats in the other polyQ genes can affect the AAO, suggesting functional interactions between the polyQ genes. However, there is no detailed assessment of the relationships among polyQ genes in pathologically relevant brain regions. We used gene co-expression analysis to study the functional relationships among polyQ genes in different brain regions using the Allen Human Brain Atlas (AHBA), a spatial map of gene expression in the healthy brain. We constructed co-expression networks for seven anatomical brain structures, as well as a region showing a specific pattern of atrophy in HD patients detected by magnetic resonance imaging (MRI) of the brain. In this HD-associated region, we found that ATN1 and ATXN2 were co-expressed and shared co-expression partners which were enriched for DNA repair genes. We observed a similar co-expression pattern in the frontal lobe, parietal lobe, and striatum in which this relation was most pronounced. Given that the co-expression patterns for these anatomical structures were similar to those for the HD-associated region, our results suggest that their disruption is likely involved in HD pathology. Moreover, ATN1 and ATXN2 also shared many co-expressed genes with HTT, the causative gene of HD, across the brain. Although this triangular relationship among these three polyQ genes may also be dysregulated in other polyQ diseases, stronger co-expression patterns between ATN1 and ATXN2 observed in the HD-associated region, especially in the striatum, may be more specific to HD.
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Affiliation(s)
- Arlin Keo
- Computational Biology Center, Leiden University Medical Center, Leiden, Netherlands.,Delft Bioinformatics Lab, Department of Intelligent Systems, Delft University of Technology, Delft, Netherlands
| | - N Ahmad Aziz
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | - Oleh Dzyubachyk
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | | | - Boudewijn P F Lelieveldt
- Computational Biology Center, Leiden University Medical Center, Leiden, Netherlands.,Delft Bioinformatics Lab, Department of Intelligent Systems, Delft University of Technology, Delft, Netherlands.,Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Marcel J T Reinders
- Computational Biology Center, Leiden University Medical Center, Leiden, Netherlands.,Delft Bioinformatics Lab, Department of Intelligent Systems, Delft University of Technology, Delft, Netherlands
| | - Ahmed Mahfouz
- Computational Biology Center, Leiden University Medical Center, Leiden, Netherlands.,Delft Bioinformatics Lab, Department of Intelligent Systems, Delft University of Technology, Delft, Netherlands
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