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Malik R, Beaufort N, Li J, Tanaka K, Georgakis MK, He Y, Koido M, Terao C, Japan B, Anderson CD, Kamatani Y, Zand R, Dichgans M. Genetically proxied HTRA1 protease activity and circulating levels independently predict risk of ischemic stroke and coronary artery disease. NATURE CARDIOVASCULAR RESEARCH 2024; 3:701-713. [PMID: 39196222 DOI: 10.1038/s44161-024-00475-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/23/2024] [Indexed: 08/29/2024]
Abstract
Genetic variants in HTRA1 are associated with stroke risk. However, the mechanisms mediating this remain largely unknown, as does the full spectrum of phenotypes associated with genetic variation in HTRA1. Here we show that rare HTRA1 variants are linked to ischemic stroke in the UK Biobank and BioBank Japan. Integrating data from biochemical experiments, we next show that variants causing loss of protease function associated with ischemic stroke, coronary artery disease and skeletal traits in the UK Biobank and MyCode cohorts. Moreover, a common variant modulating circulating HTRA1 mRNA and protein levels enhances the risk of ischemic stroke and coronary artery disease while lowering the risk of migraine and macular dystrophy in genome-wide association study, UK Biobank, MyCode and BioBank Japan data. We found no interaction between proxied HTRA1 activity and levels. Our findings demonstrate the role of HTRA1 for cardiovascular diseases and identify two mechanisms as potential targets for therapeutic interventions.
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Affiliation(s)
- Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Nathalie Beaufort
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Jiang Li
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA, USA
| | - Koki Tanaka
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Yunye He
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Masaru Koido
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - BioBank Japan
- Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Boston, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Ramin Zand
- Department of Neurology, Pennsylvania State University, Hershey, PA, USA
- Department of Neurology, Neuroscience Institute, Geisinger Health System, Danville, PA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
- German Center for Cardiovascular Research (DZHK), Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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Kancheva AK, Wardlaw JM, Lyall DM, Quinn TJ. Clinical Phenotypes Associated With Cerebral Small Vessel Disease: An Overview of Systematic Reviews. Neurology 2024; 102:e209267. [PMID: 38552192 DOI: 10.1212/wnl.0000000000209267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/18/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Cerebral small vessel disease (cSVD) causes lacunar and hemorrhagic stroke and is an important contributor to vascular cognitive impairment. Other potential physical and psychological consequences of cSVD have been described across various body systems. Descriptions of cSVD are available in journals specific to those individual body systems, but a comprehensive assessment of clinical manifestations across this disparate literature is lacking. We conducted an overview of systematic reviews describing clinical cSVD phenotypes. METHODS We searched multidisciplinary databases from inception to December 2023. We included reviews describing concurrent clinical phenotypes in individuals with neuroimaging evidence of cSVD, defined using the STandards for ReportIng Vascular changes on nEuroimaging criteria. We broadly classified phenotypes into cognitive, mood and neuropsychiatric, respiratory, cardiovascular, renal-urinary, peripheral nervous system, locomotor, and gastrointestinal. We included both studies assessing multiple cSVD features and studies examining individual cSVD markers. We extracted risk factor-adjusted effect estimates, where possible, and assessed methodologic quality using the Assessment of Multiple Systematic Reviews-2 tool. RESULTS After screening 6,156 publications, we included 24 systematic reviews reporting on 685 original studies and 1,135,943 participants. Cognitive and neuropsychiatric phenotypes were examined most often, particularly in relation to white matter hyperintensities (range of risk ratios [RRs] for cognitive phenotypes 1.21-1.49, range of 95% CI 1.01-1.84; for neuropsychiatric, RR 1.02-5.71, 95% CI 0.96-19.69). Two reviews focused solely on perivascular spaces. No reviews assessed lacunes or small subcortical infarcts separately from other cSVD features. Reviews on peripheral nervous system, urinary, or gastrointestinal phenotypes were lacking. Fourteen reviews had high methodologic quality, 5 had moderate quality, and 5 had low quality. Heterogeneity in cSVD definitions and phenotypic assessments was substantial. DISCUSSION Neuroimaging markers of cSVD are associated with various clinical manifestations, suggesting a multisystem phenotype. However, features classically associated with cSVD, for example, gait, had limited supporting evidence, and for many body systems, there were no available reviews. Similarly, while white matter hyperintensities were relatively well studied, there were limited data on phenotypes associated with other cSVD features. Future studies should characterize the full clinical spectrum of cSVD and explore clinical associations beyond neurocognitive and neuropsychiatric presentations.
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Affiliation(s)
- Angelina K Kancheva
- From the School of Cardiovascular and Metabolic Health (A.K.K., T.J.Q.), University of Glasgow; Centre for Clinical Brain Sciences (J.M.W.), University of Edinburgh; and School of Health & Wellbeing (D.M.L.), University of Glasgow, United Kingdom
| | - Joanna M Wardlaw
- From the School of Cardiovascular and Metabolic Health (A.K.K., T.J.Q.), University of Glasgow; Centre for Clinical Brain Sciences (J.M.W.), University of Edinburgh; and School of Health & Wellbeing (D.M.L.), University of Glasgow, United Kingdom
| | - Donald M Lyall
- From the School of Cardiovascular and Metabolic Health (A.K.K., T.J.Q.), University of Glasgow; Centre for Clinical Brain Sciences (J.M.W.), University of Edinburgh; and School of Health & Wellbeing (D.M.L.), University of Glasgow, United Kingdom
| | - Terence J Quinn
- From the School of Cardiovascular and Metabolic Health (A.K.K., T.J.Q.), University of Glasgow; Centre for Clinical Brain Sciences (J.M.W.), University of Edinburgh; and School of Health & Wellbeing (D.M.L.), University of Glasgow, United Kingdom
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Dichgans M, Malik R, Beaufort N, Tanaka K, Georgakis M, He Y, Koido M, Terao C, Anderson C, Kamatani Y. Genetically proxied HTRA1 protease activity and circulating levels independently predict risk of ischemic stroke and coronary artery disease. RESEARCH SQUARE 2023:rs.3.rs-3523612. [PMID: 37986915 PMCID: PMC10659557 DOI: 10.21203/rs.3.rs-3523612/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
HTRA1 has emerged as a major risk gene for stroke and cerebral small vessel disease with both rare and common variants contributing to disease risk. However, the precise mechanisms mediating this risk remain largely unknown as does the full spectrum of phenotypes associated with genetic variation in HTRA1 in the general population. Using a family-history informed approach, we first show that rare variants in HTRA1 are linked to ischemic stroke in 425,338 European individuals from the UK Biobank with replication in 143,149 individuals from the Biobank Japan. Integrating data from biochemical experiments on 76 mutations occurring in the UK Biobank, we next show that rare variants causing loss of protease function in vitro associate with ischemic stroke, coronary artery disease, and skeletal traits. In addition, a common causal variant (rs2672592) modulating circulating HTRA1 mRNA and protein levels enhances the risk of ischemic stroke, small vessel stroke, and coronary artery disease while lowering the risk of migraine and age-related macular dystrophy in GWAS and UK Biobank data from > 2,000,000 individuals. There was no evidence of an interaction between genetically proxied HTRA1 activity and levels. Our findings demonstrate a central role of HTRA1 for human disease including stroke and coronary artery disease and identify two independent mechanisms that might qualify as targets for future therapeutic interventions.
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Affiliation(s)
| | | | | | | | | | | | - Masaru Koido
- Institute of Medical Science, The University of Tokyo
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Roos J, Müller S, Giese A, Appenzeller S, Ringelstein EB, Fiehler J, Berger K, Rolfs A, Hagel C, Kuhlenbäumer G. Pontine autosomal dominant microangiopathy with leukoencephalopathy: Col4A1 gene variants in the original family and sporadic stroke. J Neurol 2023; 270:2631-2639. [PMID: 36786861 PMCID: PMC10130117 DOI: 10.1007/s00415-023-11590-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/25/2023] [Accepted: 01/25/2023] [Indexed: 02/15/2023]
Abstract
BACKGROUND (1) Description of clinical and cranial MRI features in the original Pontine Autosomal Dominant Microangiopathy with Leukoencephalopathy (PADMAL) family and correlation with the segregation analysis of the causative collagen 4A1 gene (COL4A1) variant. (2) Sequence analysis of the COL4A1 miRNA-binding site containing the causative variant in two independent cross-sectional samples of sporadic stroke patients. PATIENTS AND METHODS Sanger sequencing of the COL4A1 miRNA-binding site in the PADMAL family and 874 sporadic stroke patients. RESULTS PADMAL shows adult-onset usually between 30 and 50 years of age with initial brainstem-related symptoms most commonly dysarthria, with progression to dementia and tetraparesis. Radiologically pontine lacunes are followed by supratentorial white matter involvement. Radiological onset may precede clinical symptoms. We found no variants in the COL4A1 miRNA-binding site of sporadic stroke patients. CONCLUSION Our results allow an early diagnosis of PADMAL based on cranial MRI, clinical signs, and confirmatory sequencing of the COL4A1 miRNA-29-binding site. COL4A1 miRNA-29-binding site variants do not contribute to a sizeable proportion of sporadic stroke.
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Affiliation(s)
- Jessica Roos
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Arnold-Heller Str. 3, D24105, Kiel, Germany
| | - Stefanie Müller
- Institute of Health Informatics, University College London, London, UK
| | - Anne Giese
- Department of Neurology, University Medical Center, Hamburg-Eppendorf, Germany
| | - Silke Appenzeller
- Comprehensive Cancer Center Mainfranken, University Hospital, Würzburg, Germany
| | | | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center, Hamburg-Eppendorf, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | | | - Christian Hagel
- Institute of Neuropathology, University Medical Center, Hamburg-Eppendorf, Germany
| | - Gregor Kuhlenbäumer
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Arnold-Heller Str. 3, D24105, Kiel, Germany.
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Manini A, Pantoni L. Genetic Causes of Cerebral Small Vessel Diseases: A Practical Guide for Neurologists. Neurology 2023; 100:766-783. [PMID: 36535782 PMCID: PMC10115494 DOI: 10.1212/wnl.0000000000201720] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 11/09/2022] [Indexed: 12/23/2022] Open
Abstract
Cerebral small vessel disease (CSVD) includes various entities affecting the brain and, often, systemic small arteries, arterioles, venules, and capillaries. The underlying causes of CSVD are different, and some of them are genetic. Monogenic CSVDs are responsible for 1%-5% of all strokes and for several other disturbances. Despite many genes being involved, the phenotypes of monogenic CSVD partly overlap. Given that the genetic testing for different diseases can be challenging and time-consuming, the practicing neurologist should be adequately informed of the genetic background of CSVD and should be able to select patients to undergo genetic assessment and the genes to be analyzed. The purpose of this review was to summarize clinical, neurologic and non-neurologic, and neuroimaging features of monogenic CSVD and to provide a flowchart to be used in clinical practice to guide neurologists in this field. The proposed flowchart and the relative tables can be applied to 3 different settings, depending on the presentation: (1) ischemic stroke and/or transient ischemic attack, (2) cerebral hemorrhage, and (3) other neurologic, non-neurologic, and/or neuroimaging features of monogenic CSVD, in the absence of stroke syndromes because of infarction or hemorrhage.
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Affiliation(s)
- Arianna Manini
- From the Stroke and Dementia Lab (A.M., L.P.), Department of Biomedical and Clinical Sciences, University of Milan, Italy; Department of Neurology and Laboratory of Neuroscience (A.M.), IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Leonardo Pantoni
- From the Stroke and Dementia Lab (A.M., L.P.), Department of Biomedical and Clinical Sciences, University of Milan, Italy; Department of Neurology and Laboratory of Neuroscience (A.M.), IRCCS Istituto Auxologico Italiano, Milan, Italy.
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Branyan K, Labelle-Dumais C, Wang X, Hayashi G, Lee B, Peltz Z, Gorman S, Li BQ, Mao M, Gould DB. Elevated TGFβ signaling contributes to cerebral small vessel disease in mouse models of Gould syndrome. Matrix Biol 2023; 115:48-70. [PMID: 36435425 PMCID: PMC10393528 DOI: 10.1016/j.matbio.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 11/21/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022]
Abstract
Cerebral small vessel disease (CSVD) is a leading cause of stroke and vascular cognitive impairment and dementia. Studying monogenic CSVD can reveal pathways that are dysregulated in common sporadic forms of the disease and may represent therapeutic targets. Mutations in collagen type IV alpha 1 (COL4A1) and alpha 2 (COL4A2) cause highly penetrant CSVD as part of a multisystem disorder referred to as Gould syndrome. COL4A1 and COL4A2 form heterotrimers [a1α1α2(IV)] that are fundamental constituents of basement membranes. However, their functions are poorly understood and the mechanism(s) by which COL4A1 and COL4A2 mutations cause CSVD are unknown. We used histological, molecular, genetic, pharmacological, and in vivo imaging approaches to characterize central nervous system (CNS) vascular pathologies in Col4a1 mutant mouse models of monogenic CSVD to provide insight into underlying pathogenic mechanisms. We describe developmental CNS angiogenesis abnormalities characterized by impaired retinal vascular outgrowth and patterning, increased numbers of mural cells with abnormal morphologies, altered contractile protein expression in vascular smooth muscle cells (VSMCs) and age-related loss of arteriolar VSMCs in Col4a1 mutant mice. Importantly, we identified elevated TGFβ signaling as a pathogenic consequence of Col4a1 mutations and show that genetically suppressing TGFβ signaling ameliorated CNS vascular pathologies, including partial rescue of retinal vascular patterning defects, prevention of VSMC loss, and significant reduction of intracerebral hemorrhages in Col4a1 mutant mice aged up to 8 months. This study identifies a novel biological role for collagen α1α1α2(IV) as a regulator of TGFβ signaling and demonstrates that elevated TGFβ signaling contributes to CNS vascular pathologies caused by Col4a1 mutations. Our findings suggest that pharmacologically suppressing TGFβ signaling could reduce the severity of CSVD, and potentially other manifestations associated with Gould syndrome and have important translational implications that could extend to idiopathic forms of CSVD.
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Affiliation(s)
- Kayla Branyan
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States
| | - Cassandre Labelle-Dumais
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States
| | - Xiaowei Wang
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States
| | - Genki Hayashi
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States
| | - Bryson Lee
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States
| | - Zoe Peltz
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States
| | - Seán Gorman
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States
| | - Bo Qiao Li
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States
| | - Mao Mao
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States
| | - Douglas B Gould
- Department of Ophthalmology, University of California, 555 Mission Bay Boulevard South, San Francisco, CA 94158, United States; Department of Anatomy, Cardiovascular Research Institute, Bakar Aging Research Institute, and Institute for Human Genetics, University of California, San Francisco, United States.
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7
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Chen W, Wang Y, Huang S, Yang X, Shen L, Wu D. Case report: Two unique nonsense mutations in HTRA1-related cerebral small vessel disease in a Chinese population and literature review. Front Neurol 2022; 13:1069453. [PMID: 36619910 PMCID: PMC9813394 DOI: 10.3389/fneur.2022.1069453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
Background Homozygous or compound heterozygous mutations in the high-temperature requirement A serine protease 1 gene (HTRA1) elicits cerebral autosomal recessive arteriopathy with subcortical infarcts and white matter lesions (CARASIL). The relationship between some heterozygous mutations, most of which are missense ones, and the occurrence of cerebral small vessel diseases (CSVD) has been reported. Recently, heterozygous HTRA1 nonsense mutations have been recognized to be pathogenic. Case presentation We described two Chinese patients diagnosed with HTRA1-CSVD accompanied by heterozygous nonsense mutations. Their first clinical manifestations were symptoms due to ischemic stroke, and brain Magnetic Resonance Imaging (MRI) showed diffuse white matter lesions (WMLs) and microbleeds in both of them. Genetic sequencing revealed two novel heterozygous nonsense mutations: c.1096G>T (p.E366X) and c.151G>T (p.E51X). Conclusion This case report expands the clinical, radiographic, and genetic spectrum of HTRA1-CSVD. Attention should be paid to young patients with ischemic stroke as the first clinical manifestation. Genetic screening for such sporadic CSVD is recommended, even if the symptoms are atypical.
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Ferguson AC, Thrippleton S, Henshall D, Whittaker E, Conway B, MacLeod M, Malik R, Rawlik K, Tenesa A, Sudlow C, Rannikmae K. Frequency and Phenotype Associations of Rare Variants in 5 Monogenic Cerebral Small Vessel Disease Genes in 200,000 UK Biobank Participants. Neurol Genet 2022; 8:e200015. [PMID: 36035235 PMCID: PMC9403885 DOI: 10.1212/nxg.0000000000200015] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/17/2022] [Indexed: 04/14/2023]
Abstract
Background and Objectives Based on previous case reports and disease-based cohorts, a minority of patients with cerebral small vessel disease (cSVD) have a monogenic cause, with many also manifesting extracerebral phenotypes. We investigated the frequency, penetrance, and phenotype associations of putative pathogenic variants in cSVD genes in the UK Biobank (UKB), a large population-based study. Methods We used a systematic review of previous literature and ClinVar to identify putative pathogenic rare variants in CTSA, TREX1, HTRA1, and COL4A1/2. We mapped phenotypes previously attributed to these variants (phenotypes-of-interest) to disease coding systems used in the UKB's linked health data from UK hospital admissions, death records, and primary care. Among 199,313 exome-sequenced UKB participants, we assessed the following: the proportion of participants carrying ≥1 variant(s); phenotype-of-interest penetrance; and the association between variant carrier status and phenotypes-of-interest using a binary (any phenotype present/absent) and phenotype burden (linear score of the number of phenotypes a participant possessed) approach. Results Among UKB participants, 0.5% had ≥1 variant(s) in studied genes. Using hospital admission and death records, 4%-20% of variant carriers per gene had an associated phenotype. This increased to 7%-55% when including primary care records. Only COL4A1 variant carrier status was significantly associated with having ≥1 phenotype-of-interest and a higher phenotype score (OR = 1.29, p = 0.006). Discussion While putative pathogenic rare variants in monogenic cSVD genes occur in 1:200 people in the UKB population, only approximately half of variant carriers have a relevant disease phenotype recorded in their linked health data. We could not replicate most previously reported gene-phenotype associations, suggesting lower penetrance rates, overestimated pathogenicity, and/or limited statistical power.
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Affiliation(s)
- Amy Christina Ferguson
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - Sophie Thrippleton
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - David Henshall
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - Ed Whittaker
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - Bryan Conway
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - Malcolm MacLeod
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - Rainer Malik
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - Konrad Rawlik
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - Albert Tenesa
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - Cathie Sudlow
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
| | - Kristiina Rannikmae
- From the Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom
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9
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Zhang C, Zheng H, Li X, Li S, Li W, Wang Z, Niu S, Wang X, Zhang Z. Novel mutations in HTRA1-related cerebral small vessel disease and comparison with CADASIL. Ann Clin Transl Neurol 2022; 9:1586-1595. [PMID: 36047879 PMCID: PMC9539375 DOI: 10.1002/acn3.51654] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 07/29/2022] [Accepted: 08/10/2022] [Indexed: 11/15/2022] Open
Abstract
Objective There is evidence showing both heterozygous HTRA1 and homozygous HTRA1 mutations as causal for familial cerebral small vessel disease (CSVD). The clinical and neuroimaging signs of heterozygous HTRA1‐related CSVD can mimic cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). We aimed to characterize the genotypic and phenotypic features of HTRA1‐related CSVD, and we compared the features of heterozygous HTRA1‐related CSVD and CADASIL. Methods We carried out genetic sequencing in a series of unrelated patients with suspected familial CSVD from China. Clinical and imaging characteristics of heterozygous HTRA1‐related CSVD and CADASIL were compared. Results We identified nine heterozygous HTRA1 mutations and one homozygous HTRA1 mutation, seven of which are novel. Compared with CADASIL, patients with heterozygous HTRA1‐related CSVD had a higher proportion of spine disorders and a lower proportion of white matter hyperintensities involving the anterior temporal lobe (p < 0.001). Interpretation This study shows that most HTRA1‐related CSVD patients in China carry heterozygous HTRA1 mutations. The specific extra‐neurological features and neuroimaging features reveal informative differences between heterozygous HTRA1‐related CSVD and CADASIL. We expand the mutational spectrum of HTRA1.
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Affiliation(s)
- Chen Zhang
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Honghua Zheng
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Xin Li
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Shaowu Li
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Wei Li
- Monogenic Disease Research Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ziwei Wang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Songtao Niu
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xingao Wang
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zaiqiang Zhang
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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10
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Whittaker E, Thrippleton S, Chong LYW, Collins VG, Ferguson AC, Henshall DE, Lancastle E, Wilkinson T, Wilson B, Wilson K, Sudlow C, Wardlaw J, Rannikmäe K. Systematic Review of Cerebral Phenotypes Associated With Monogenic Cerebral Small-Vessel Disease. J Am Heart Assoc 2022; 11:e025629. [PMID: 35699195 PMCID: PMC9238640 DOI: 10.1161/jaha.121.025629] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/19/2022] [Indexed: 11/16/2022]
Abstract
Background Cerebral small-vessel disease (cSVD) is an important cause of stroke and vascular dementia. Most cases are multifactorial, but an emerging minority have a monogenic cause. While NOTCH3 is the best-known gene, several others have been reported. We aimed to summarize the cerebral phenotypes associated with these more recent cSVD genes. Methods and Results We performed a systematic review (PROSPERO [International Prospective Register of Systematic Reviews]: CRD42020196720), searching Medline/Embase (conception to July 2020) for any language publications describing COL4A1/2, TREX1, HTRA1, ADA2, or CTSA pathogenic variant carriers. We extracted data about individuals' characteristics and clinical and vascular radiological cerebral phenotypes. We summarized phenotype frequencies per gene, comparing patterns across genes. We screened 6485 publications including 402, and extracted data on 390 individuals with COL4A1, 123 with TREX1, 44 with HTRA1 homozygous, 41 with COL4A2, 346 with ADA2, 82 with HTRA1 heterozygous, and 14 with CTSA. Mean age ranged from 15 (ADA2) to 59 years (HTRA1 heterozygotes). Clinical phenotype frequencies varied widely: stroke, 9% (TREX1) to 52% (HTRA1 heterozygotes); cognitive features, 0% (ADA2) to 64% (HTRA1 homozygotes); and psychiatric features, 0% (COL4A2; ADA2) to 57% (CTSA). Among individuals with neuroimaging, vascular radiological phenotypes appeared common, ranging from 62% (ADA2) to 100% (HTRA1 homozygotes; CTSA). White matter lesions were the most common pathology, except in ADA2 and COL4A2 cases, where ischemic and hemorrhagic lesions dominated, respectively. Conclusions There appear to be differences in cerebral manifestations across cSVD genes. Vascular radiological changes were more common than clinical neurological phenotypes, and present in the majority of individuals with reported neuroimaging. However, these results may be affected by age and biases inherent to case reports. In the future, better characterization of associated phenotypes, as well as insights from population-based studies, should improve our understanding of monogenic cSVD to inform genetic testing, guide clinical management, and help unravel underlying disease mechanisms.
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Affiliation(s)
- Ed Whittaker
- Medical SchoolUniversity of EdinburghEdinburghUnited Kingdom
| | | | | | | | - Amy C. Ferguson
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghUnited Kingdom
| | - David E. Henshall
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghUnited Kingdom
| | - Emily Lancastle
- Medical SchoolUniversity of EdinburghEdinburghUnited Kingdom
| | - Tim Wilkinson
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghUnited Kingdom
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUnited Kingdom
| | - Blair Wilson
- NHS Greater Glasgow and ClydeGlasgowUnited Kingdom
| | | | - Cathie Sudlow
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghUnited Kingdom
- BHF Data Science CentreLondonUnited Kingdom
| | - Joanna Wardlaw
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUnited Kingdom
- UK Dementia Research Institute CentreUniversity of EdinburghEdinburghUnited Kingdom
| | - Kristiina Rannikmäe
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghUnited Kingdom
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11
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Mao M, Labelle-Dumais C, Tufa SF, Keene DR, Gould DB. Elevated TGFβ signaling contributes to ocular anterior segment dysgenesis in Col4a1 mutant mice. Matrix Biol 2022; 110:151-173. [PMID: 35525525 PMCID: PMC10410753 DOI: 10.1016/j.matbio.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 04/08/2022] [Accepted: 05/02/2022] [Indexed: 10/18/2022]
Abstract
Ocular anterior segment dysgenesis (ASD) refers to a collection of developmental disorders affecting the anterior structures of the eye. Although a number of genes have been implicated in the etiology of ASD, the underlying pathogenetic mechanisms remain unclear. Mutations in genes encoding collagen type IV alpha 1 (COL4A1) and alpha 2 (COL4A2) cause Gould syndrome, a multi-system disorder that often includes ocular manifestations such as ASD and glaucoma. COL4A1 and COL4A2 are abundant basement membrane proteins that provide structural support to tissues and modulate signaling through interactions with other extracellular matrix proteins, growth factors, and cell surface receptors. In this study, we used a combination of histological, molecular, genetic and pharmacological approaches to demonstrate that altered TGFβ signaling contributes to ASD in mouse models of Gould syndrome. We show that TGFβ signaling was elevated in anterior segments from Col4a1 mutant mice and that genetically reducing TGFβ signaling partially prevented ASD. Notably, we identified distinct roles for TGFβ1 and TGFβ2 in ocular defects observed in Col4a1 mutant mice. Importantly, we show that pharmacologically promoting type IV collagen secretion or reducing TGFβ signaling ameliorated ocular pathology in Col4a1 mutant mice. Overall, our findings demonstrate that altered TGFβ signaling contributes to COL4A1-related ocular dysgenesis and implicate this pathway as a potential therapeutic target for the treatment of Gould syndrome.
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Affiliation(s)
- Mao Mao
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Cassandre Labelle-Dumais
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Sara F Tufa
- Shriners Children's, Micro-Imaging Center, Portland, Oregon 97239, United States
| | - Douglas R Keene
- Shriners Children's, Micro-Imaging Center, Portland, Oregon 97239, United States
| | - Douglas B Gould
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA 94143, United States; Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, United States; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, United States; Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA 94143, United States; Bakar Aging Research Institute, University of California, San Francisco, San Francisco, CA 94143, United States.
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12
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Coste T, Hervé D, Neau JP, Jouvent E, Ba F, Bergametti F, Lamy M, Cogez J, Derache N, Schneckenburger R, Grelet M, Gollion C, Lanotte L, Lauer V, Layet V, Urbanczyk C, Didic M, Raynouard I, Delaval L, Dassa J, Florea A, Badiu C, Nguyen K, Tournier-Lasserve E. Heterozygous HTRA1 nonsense or frameshift mutations are pathogenic. Brain 2021; 144:2616-2624. [PMID: 34270682 DOI: 10.1093/brain/awab271] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 06/30/2021] [Accepted: 07/01/2021] [Indexed: 11/12/2022] Open
Abstract
Heterozygous missense HTRA1 mutations have been associated with an autosomal dominant cerebral small vessel disease (CSVD) whereas the pathogenicity of heterozygous HTRA1 stop codon variants is unclear. We performed a targeted high throughput sequencing of all known CSVD genes, including HTRA1, in 3853 unrelated consecutive CSVD patients referred for molecular diagnosis. The frequency of heterozygous HTRA1 mutations leading to a premature stop codon in this patient cohort was compared with their frequency in large control databases. An analysis of HTRA1 mRNA was performed in several stop codon carrier patients. Clinical and neuroimaging features were characterized in all probands. Twenty unrelated patients carrying a heterozygous HTRA1 variant leading to a premature stop codon were identified. A highly significant difference was observed when comparing our patient cohort with control databases: gnomAD v3.1.1 [P = 3.12 × 10-17, odds ratio (OR) = 21.9], TOPMed freeze 5 (P = 7.6 × 10-18, OR = 27.1) and 1000 Genomes (P = 1.5 × 10-5). Messenger RNA analysis performed in eight patients showed a degradation of the mutated allele strongly suggesting a haploinsufficiency. Clinical and neuroimaging features are similar to those previously reported in heterozygous missense mutation carriers, except for penetrance, which seems lower. Altogether, our findings strongly suggest that heterozygous HTRA1 stop codons are pathogenic through a haploinsufficiency mechanism. Future work will help to estimate their penetrance, an important information for genetic counselling.
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Affiliation(s)
- Thibault Coste
- AP-HP, Service de Génétique Moléculaire Neurovasculaire, Hôpital Saint-Louis, France
- Université de Paris, INSERM UMR-1141 Neurodiderot, Paris F-75019, France
| | - Dominique Hervé
- Université de Paris, INSERM UMR-1141 Neurodiderot, Paris F-75019, France
- AP-HP, CERVCO, Service de Neurologie, Hôpital Lariboisière, France
| | - Jean Philippe Neau
- Centre Hospitalier Universitaire de Poitiers, Service de Neurologie, Poitiers, France
| | - Eric Jouvent
- Université de Paris, INSERM UMR-1141 Neurodiderot, Paris F-75019, France
- AP-HP, CERVCO, Service de Neurologie, Hôpital Lariboisière, France
| | - Fatoumata Ba
- AP-HP, Service de Génétique Moléculaire Neurovasculaire, Hôpital Saint-Louis, France
| | | | - Matthias Lamy
- Centre Hospitalier Universitaire de Poitiers, Service de Neurologie, Poitiers, France
| | - Julien Cogez
- Centre Hospitalier Universitaire de Caen, Service de Neurologie, Caen, France
| | - Nathalie Derache
- Centre Hospitalier Universitaire de Caen, Service de Neurologie, Caen, France
| | | | - Maude Grelet
- Centre Hospitalier Intercommunal de Toulon- La Seyne sur mer, Service de Génétique Médicale, Toulon, France
| | - Cédric Gollion
- Centre Hospitalier Universitaire de Toulouse, Service de Neurologie, Toulouse, France
| | - Livia Lanotte
- Hôpital De Hautepierre, Service de Neurologie, Strasbourg, France
| | - Valérie Lauer
- Hôpital De Hautepierre, Unité Neuro-Vasculaire, Strasbourg, France
| | - Valérie Layet
- Groupe Hospitalier Du havre, Service de Génétique Médicale, Le Havre, France
| | - Cédric Urbanczyk
- Centre Hospitalier Départemental La Roche-Sur-Yon, Service de Neurologie, La Roche-Sur-Yon, France
| | - Mira Didic
- APHM, Hôpital Timone Adultes, Service de Neurologie et Neuropsychologie, Marseille, France
- Aix Marseille Université, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Igor Raynouard
- Fondation Adolphe de Rothschild, Service de Neurologie, Paris, France
| | - Laure Delaval
- AP-HP, Hôpital Bichat, Service de Médecine Interne, France
| | - Jérémie Dassa
- Centre Hospitalier Emile Roux, Service de Neurologie, Le Puy-en-Velay, France
| | - Alexandru Florea
- Centre Hospitalier Marie Madeleine, Service de Neurologie, Forbach, France
| | - Carmen Badiu
- Centre Hospitalier Metz-Thionville, Service de Neurologie, Metz, France
| | - Karine Nguyen
- APHM, Hôpital Timone Adultes, Département de Génétique, Marseille, France
| | - Elisabeth Tournier-Lasserve
- AP-HP, Service de Génétique Moléculaire Neurovasculaire, Hôpital Saint-Louis, France
- Université de Paris, INSERM UMR-1141 Neurodiderot, Paris F-75019, France
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13
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Malik R, Beaufort N, Frerich S, Gesierich B, Georgakis MK, Rannikmäe K, Ferguson AC, Haffner C, Traylor M, Ehrmann M, Sudlow CLM, Dichgans M. Whole-exome sequencing reveals a role of HTRA1 and EGFL8 in brain white matter hyperintensities. Brain 2021; 144:2670-2682. [PMID: 34626176 PMCID: PMC8557338 DOI: 10.1093/brain/awab253] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/01/2021] [Accepted: 06/19/2021] [Indexed: 11/13/2022] Open
Abstract
White matter hyperintensities (WMH) are among the most common radiological abnormalities in the ageing population and an established risk factor for stroke and dementia. While common variant association studies have revealed multiple genetic loci with an influence on their volume, the contribution of rare variants to the WMH burden in the general population remains largely unexplored. We conducted a comprehensive analysis of this burden in the UK Biobank using publicly available whole-exome sequencing data (n up to 17 830) and found a splice-site variant in GBE1, encoding 1,4-alpha-glucan branching enzyme 1, to be associated with lower white matter burden on an exome-wide level [c.691+2T>C, β = -0.74, standard error (SE) = 0.13, P = 9.7 × 10-9]. Applying whole-exome gene-based burden tests, we found damaging missense and loss-of-function variants in HTRA1 (frequency of 1 in 275 in the UK Biobank population) to associate with an increased WMH volume (P = 5.5 × 10-6, false discovery rate = 0.04). HTRA1 encodes a secreted serine protease implicated in familial forms of small vessel disease. Domain-specific burden tests revealed that the association with WMH volume was restricted to rare variants in the protease domain (amino acids 204-364; β = 0.79, SE = 0.14, P = 9.4 × 10-8). The frequency of such variants in the UK Biobank population was 1 in 450. The WMH volume was brought forward by ∼11 years in carriers of a rare protease domain variant. A comparison with the effect size of established risk factors for WMH burden revealed that the presence of a rare variant in the HTRA1 protease domain corresponded to a larger effect than meeting the criteria for hypertension (β = 0.26, SE = 0.02, P = 2.9 × 10-59) or being in the upper 99.8% percentile of the distribution of a polygenic risk score based on common genetic variants (β = 0.44, SE = 0.14, P = 0.002). In biochemical experiments, most (6/9) of the identified protease domain variants resulted in markedly reduced protease activity. We further found EGFL8, which showed suggestive evidence for association with WMH volume (P = 1.5 × 10-4, false discovery rate = 0.22) in gene burden tests, to be a direct substrate of HTRA1 and to be preferentially expressed in cerebral arterioles and arteries. In a phenome-wide association study mapping ICD-10 diagnoses to 741 standardized Phecodes, rare variants in the HTRA1 protease domain were associated with multiple neurological and non-neurological conditions including migraine with aura (odds ratio = 12.24, 95%CI: 2.54-35.25; P = 8.3 × 10-5]. Collectively, these findings highlight an important role of rare genetic variation and the HTRA1 protease in determining WMH burden in the general population.
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Affiliation(s)
- Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Nathalie Beaufort
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Simon Frerich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Kristiina Rannikmäe
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh EH16 4TL, UK
| | - Amy C Ferguson
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh EH16 4TL, UK
| | - Christof Haffner
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Matthew Traylor
- Clinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
- The Barts Heart Centre and NIHR Barts Biomedical Research Centre - Barts Health NHS Trust, The William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Michael Ehrmann
- Center of Medical Biotechnology, Faculty of Biology, University Duisburg-Essen, Essen 45141, Germany
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK
| | - Cathie L M Sudlow
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh EH16 4TL, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4TL, UK
- Health Data Research UK Scotland, University of Edinburgh, Edinburgh EH16 4TL, UK
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology, Munich 81377, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich 81377, Germany
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14
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Zhang H, Ferguson A, Robertson G, Jiang M, Zhang T, Sudlow C, Smith K, Rannikmae K, Wu H. Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Brief Bioinform 2021; 22:bbab006. [PMID: 33634312 PMCID: PMC8425308 DOI: 10.1093/bib/bbab006] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 12/31/2020] [Accepted: 01/04/2021] [Indexed: 12/25/2022] Open
Abstract
Network-based gene prioritization algorithms are designed to prioritize disease-associated genes based on known ones using biological networks of protein interactions, gene-disease associations (GDAs) and other relationships between biological entities. Various algorithms have been developed based on different mechanisms, but it is not obvious which algorithm is optimal for a specific disease. To address this issue, we benchmarked multiple algorithms for their application in cerebral small vessel disease (cSVD). We curated protein-gene interactions (PGIs) and GDAs from databases and assembled PGI networks and disease-gene heterogeneous networks. A screening of algorithms resulted in seven representative algorithms to be benchmarked. Performance of algorithms was assessed using both leave-one-out cross-validation (LOOCV) and external validation with MEGASTROKE genome-wide association study (GWAS). We found that random walk with restart on the heterogeneous network (RWRH) showed best LOOCV performance, with median LOOCV rediscovery rank of 185.5 (out of 19 463 genes). The GenePanda algorithm had most GWAS-confirmable genes in top 200 predictions, while RWRH had best ranks for small vessel stroke-associated genes confirmed in GWAS. In conclusion, RWRH has overall better performance for application in cSVD despite its susceptibility to bias caused by degree centrality. Choice of algorithms should be determined before applying to specific disease. Current pure network-based gene prioritization algorithms are unlikely to find novel disease-associated genes that are not associated with known ones. The tools for implementing and benchmarking algorithms have been made available and can be generalized for other diseases.
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Affiliation(s)
- Huayu Zhang
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Amy Ferguson
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Grant Robertson
- Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Muchen Jiang
- Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom
| | - Teng Zhang
- Department of Orthopaedics and Traumatology, the University of Hong Kong, Hong Kong, China
| | - Cathie Sudlow
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
- Health Data Research UK, London, United Kingdom
| | - Keith Smith
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
- Health Data Research UK, London, United Kingdom
| | - Kristiina Rannikmae
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
- Health Data Research UK, London, United Kingdom
| | - Honghan Wu
- Health Data Research UK, London, United Kingdom
- Institute of Health Informatics, University College London, London, United Kingdom
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15
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Guey S, Lesnik Oberstein SAJ, Tournier-Lasserve E, Chabriat H. Hereditary Cerebral Small Vessel Diseases and Stroke: A Guide for Diagnosis and Management. Stroke 2021; 52:3025-3032. [PMID: 34399586 DOI: 10.1161/strokeaha.121.032620] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Cerebral small vessel diseases represent a frequent cause of stroke and cognitive or motor disability in adults. A small proportion of cerebral small vessel diseases is attributable to monogenic conditions. Since the characterization in the late 1990s of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, several other monogenic conditions leading to adult-onset ischemic or hemorrhagic stroke have been described. In this practical guide, we summarize the key features that should elicit the differential diagnosis of a hereditary cerebral small vessel diseases in adult stroke patients, describe the main clinical and imaging characteristics of the major hereditary cerebral small vessel diseases that can manifest as stroke, and provide general recommendations for the clinical management of affected patients and their relatives.
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Affiliation(s)
- Stéphanie Guey
- CERVCO, FHU NeuroVasc, Assistance Publique des Hôpitaux de Paris and Paris University, France (S.G., E.T.-L., H.C.).,INSERM UMR 1141, NeuroDiderot, Université de Paris, France (S.G., E.T.-L., H.C.)
| | | | - Elisabeth Tournier-Lasserve
- CERVCO, FHU NeuroVasc, Assistance Publique des Hôpitaux de Paris and Paris University, France (S.G., E.T.-L., H.C.).,INSERM UMR 1141, NeuroDiderot, Université de Paris, France (S.G., E.T.-L., H.C.)
| | - Hugues Chabriat
- CERVCO, FHU NeuroVasc, Assistance Publique des Hôpitaux de Paris and Paris University, France (S.G., E.T.-L., H.C.).,INSERM UMR 1141, NeuroDiderot, Université de Paris, France (S.G., E.T.-L., H.C.)
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16
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Muto K, Miyamoto R, Terasawa Y, Shimatani Y, Hara K, Kakimoto T, Fukumoto T, Osaki Y, Fujita K, Harada M, Uehara H, Takagi Y, Izumi Y. A novel COL4A1 variant associated with recurrent epistaxis and glioblastoma. Hum Genome Var 2021; 8:18. [PMID: 33990551 PMCID: PMC8121905 DOI: 10.1038/s41439-021-00150-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/04/2021] [Accepted: 04/14/2021] [Indexed: 11/10/2022] Open
Abstract
COL4A1-related disorders are characterized by a higher incidence of cerebral hemorrhage than other hereditary cerebral small vessel diseases. Accumulating data have shown broad phenotypic variations, and extracerebral hemorrhages have been linked to these disorders. Moreover, the coexistence of neural tumors has been described. Here, we report a Japanese family with a novel COL4A1 variant, including a patient with recurrent epistaxis and glioblastoma.
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Affiliation(s)
- Kohei Muto
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Ryosuke Miyamoto
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
| | - Yuka Terasawa
- Department of Neurology, Brain Attack Center Ota Memorial Hospital, Hiroshima, Japan
| | - Yoshimitsu Shimatani
- Department of Neurology, Tokushima Prefectural Central Hospital, Tokushima, Japan
| | - Keijiro Hara
- Department of Neurosurgery, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Takumi Kakimoto
- Division of Pathology, Tokushima University Hospital, Tokushima, Japan
| | - Tatsuya Fukumoto
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Yusuke Osaki
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Koji Fujita
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Masafumi Harada
- Department of Radiology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Hisanori Uehara
- Division of Pathology, Tokushima University Hospital, Tokushima, Japan
| | - Yasushi Takagi
- Department of Neurosurgery, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Yuishin Izumi
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
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17
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Shannon P, Hum C, Parks T, Schauer GM, Chitayat D, Chong K, Shinar S, Blaser S, Moore G, Van Mieghem T. Brain and Placental Pathology in Fetal COL4A1 Related Disease. Pediatr Dev Pathol 2021; 24:175-186. [PMID: 33475042 DOI: 10.1177/1093526620984083] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Although fetal brain injury due to COL4A1 gene mutation is well documented, fetal central nervous system (CNS) and placental histopathology lack description. We report CNS and placental pathology in fetal cases with symptomatic COL4A1 mutation. METHODS We retrieved four autopsy cases of COL4A1 related disease, confirmed by genetic sequencing after fetal brain injury was detected. RESULTS One case was a midgestation fetus with residua of ventricular zone hemorrhage and normal placental villi. Three cases were 30-32 week gestation fetuses: two demonstrated CNS small vessel thrombosis, with CNS injury. Both demonstrated high grade placental fetal vascular malperfusion (FVM). One additionally showed villous dysmorphism, the other demonstrated mild villous immaturity. The fetus whose placenta demonstrated high grade FVM was growth restricted. A fourth fetus demonstrated schizencephaly with a CNS arteriopathy with smooth muscle cell degeneration and cerebral infarcts; the placenta demonstrated severe villous dysmorphism and low grade FVM. DISCUSSION These cases confirm that small vessel disease is important in producing intracranial pathology in COL4A1mutation. We report an arteriopathy distinct from microvascular thrombosis and demonstrate that placental pathology is common in fetal COL4A1 related disease. This tentatively suggests that placental pathology may contribute to CNS abnormalities by affecting circulatory sufficiency.
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Affiliation(s)
- Patrick Shannon
- Department of Pathology and Laboratory Medicine Mount Sinai Hospital, Toronto, and the University of Toronto, Toronto, Ontario
| | - Courtney Hum
- The Prenatal Diagnosis and Medical Genetics Program, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Tony Parks
- Department of Pathology and Laboratory Medicine Mount Sinai Hospital, Toronto, and the University of Toronto, Toronto, Ontario
| | - G M Schauer
- Department of Pathology, Kaiser Permanente Medical Center, Oakland, California
| | - David Chitayat
- The Prenatal Diagnosis and Medical Genetics Program, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Karen Chong
- The Prenatal Diagnosis and Medical Genetics Program, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Shiri Shinar
- Department of Obstetrics and Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Susan Blaser
- Division of Pediatric Neuroradiology, Department of Diagnostic Imaging, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Gaea Moore
- Department of Pathology, Kaiser Permanente Medical Center, Oakland, California
| | - Tim Van Mieghem
- Department of Obstetrics and Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
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