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Leu CL, Lam DD, Salminen AV, Wefers B, Becker L, Garrett L, Rozman J, Wurst W, Hrabě de Angelis M, Hölter SM, Winkelmann J, Williams RH. A patient-enriched MEIS1 coding variant causes a restless legs syndrome-like phenotype in mice. Sleep 2024; 47:zsae015. [PMID: 38314840 DOI: 10.1093/sleep/zsae015] [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: 07/14/2023] [Revised: 12/10/2023] [Indexed: 02/07/2024] Open
Abstract
Restless legs syndrome (RLS) is a neurological disorder characterized by uncomfortable or unpleasant sensations in the legs during rest periods. To relieve these sensations, patients move their legs, causing sleep disruption. While the pathogenesis of RLS has yet to be resolved, there is a strong genetic association with the MEIS1 gene. A missense variant in MEIS1 is enriched sevenfold in people with RLS compared to non-affected individuals. We generated a mouse line carrying this mutation (p.Arg272His/c.815G>A), referred to herein as Meis1R272H/R272H (Meis1 point mutation), to determine whether it would phenotypically resemble RLS. As women are more prone to RLS, driven partly by an increased risk of developing RLS during pregnancy, we focused on female homozygous mice. We evaluated RLS-related outcomes, particularly sensorimotor behavior and sleep, in young and aged mice. Compared to noncarrier littermates, homozygous mice displayed very few differences. Significant hyperactivity occurred before the lights-on (rest) period in aged female mice, reflecting the age-dependent incidence of RLS. Sensory experiments involving tactile feedback (rotarod, wheel running, and hotplate) were only marginally different. Overall, RLS-like phenomena were not recapitulated except for the increased wake activity prior to rest. This is likely due to the focus on young mice. Nevertheless, the Meis1R272H mouse line is a potentially useful RLS model, carrying a clinically relevant variant and showing an age-dependent phenotype.
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Affiliation(s)
- Chia-Luen Leu
- Institute of Neurogenomics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
| | - Daniel D Lam
- Institute of Neurogenomics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Aaro V Salminen
- Institute of Neurogenomics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Benedikt Wefers
- Institute of Developmental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
| | - Lore Becker
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Neuherberg, Germany
| | - Lillian Garrett
- Institute of Developmental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Neuherberg, Germany
| | - Jan Rozman
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Munich, Germany
- Chair of Developmental Genetics, TUM School of Life Sciences, Technische Universität München, Freising, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität, München, Freising, Germany
| | - Sabine M Hölter
- Institute of Developmental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Rhîannan H Williams
- Institute of Neurogenomics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
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Akçimen F, Chia R, Saez-Atienzar S, Ruffo P, Rasheed M, Ross JP, Liao C, Ray A, Dion PA, Scholz SW, Rouleau GA, Traynor BJ. Genomic analysis identifies risk factors in restless legs syndrome. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.19.23300211. [PMID: 38168192 PMCID: PMC10760278 DOI: 10.1101/2023.12.19.23300211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Restless legs syndrome (RLS) is a neurological condition that causes uncomfortable sensations in the legs and an irresistible urge to move them, typically during periods of rest. The genetic basis and pathophysiology of RLS are incompletely understood. Here, we present a whole-genome sequencing and genome-wide association meta-analysis of RLS cases (n = 9,851) and controls (n = 38,957) in three population-based biobanks (All of Us, Canadian Longitudinal Study on Aging, and CARTaGENE). Genome-wide association analysis identified nine independent risk loci, of which eight had been previously reported, and one was a novel risk locus (LMX1B, rs35196838, OR = 1.14, 95% CI = 1.09-1.19, p-value = 2.2 × 10-9). A genome-wide, gene-based common variant analysis identified GLO1 as an additional risk gene (p-value = 8.45 × 10-7). Furthermore, a transcriptome-wide association study also identified GLO1 and a previously unreported gene, ELFN1. A genetic correlation analysis revealed significant common variant overlaps between RLS and neuroticism (rg = 0.40, se = 0.08, p-value = 5.4 × 10-7), depression (rg = 0.35, se = 0.06, p-value = 2.17 × 10-8), and intelligence (rg = -0.20, se = 0.06, p-value = 4.0 × 10-4). Our study expands the understanding of the genetic architecture of RLS and highlights the contributions of common variants to this prevalent neurological disorder.
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Affiliation(s)
- Fulya Akçimen
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Ruth Chia
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sara Saez-Atienzar
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Paola Ruffo
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Medical Genetics Laboratory, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy
| | - Memoona Rasheed
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jay P. Ross
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Calwing Liao
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Anindita Ray
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Patrick A. Dion
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
| | - Sonja W. Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Guy A. Rouleau
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
| | - Bryan J. Traynor
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
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3
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Silvani A, Ghorayeb I, Manconi M, Li Y, Clemens S. Putative Animal Models of Restless Legs Syndrome: A Systematic Review and Evaluation of Their Face and Construct Validity. Neurotherapeutics 2023; 20:154-178. [PMID: 36536233 PMCID: PMC10119375 DOI: 10.1007/s13311-022-01334-4] [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] [Accepted: 12/02/2022] [Indexed: 12/24/2022] Open
Abstract
Restless legs syndrome (RLS) is a sensorimotor disorder that severely affects sleep. It is characterized by an urge to move the legs, which is often accompanied by periodic limb movements during sleep. RLS has a high prevalence in the population and is usually a life-long condition. While its origins remain unclear, RLS is initially highly responsive to treatment with dopaminergic agonists that target D2-like receptors, in particular D2 and D3, but the long-term response is often unsatisfactory. Over the years, several putative animal models for RLS have been developed, mainly based on the epidemiological and neurochemical link with iron deficiency, treatment efficacy of D2-like dopaminergic agonists, or genome-wide association studies that identified risk factors in the patient population. Here, we present the first systematic review of putative animal models of RLS, provide information about their face and construct validity, and report their role in deciphering the underlying pathophysiological mechanisms that may cause or contribute to RLS. We propose that identifying the causal links between genetic risk factors, altered organ functions, and changes to molecular pathways in neural circuitry will eventually lead to more effective new treatment options that bypass the side effects of the currently used therapeutics in RLS, especially for long-term therapy.
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Affiliation(s)
- Alessandro Silvani
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - University of Bologna, Ravenna Campus, Ravenna, Italy
| | - Imad Ghorayeb
- Département de Neurophysiologie Clinique, Pôle Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France
- Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287, Université de Bordeaux, Bordeaux, France
- Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287, CNRS, Bordeaux, France
| | - Mauro Manconi
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, EOC, Ospedale Civico, Lugano, Switzerland
- Department of Neurology, University Hospital, Inselspital, Bern, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Yuqing Li
- Department of Neurology, College of Medicine, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Stefan Clemens
- Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC, USA.
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Geng C, Yang Z, Zhang T, Xu P, Zhang H. Polysomnographic nighttime features of Restless Legs Syndrome: A systematic review and meta-analysis. Front Neurol 2022; 13:961136. [PMID: 36090852 PMCID: PMC9452633 DOI: 10.3389/fneur.2022.961136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundRestless Legs Syndrome (RLS) is a common sleep disorder. Polysomnographic (PSG) studies have been used to explore the night sleep characteristics of RLS, but their relationship with RLS has not been fully analyzed and researched.MethodsWe searched the Cochrane Library electronic literature, PubMed, and EMBASE databases to identify research literature comparing the differences in polysomnography between patients with RLS and healthy controls (HCs).ResultsThis review identified 26 studies for meta-analysis. Our research found that the rapid eye movement sleep (REM)%, sleep efficiency (SE)%, total sleep time (TST) min, and N2 were significantly decreased in patients with RLS compared with HCs, while sleep latency (SL) min, stage shifts (SS), awakenings number (AWN), wake time after sleep onset (WASO) min, N1%, rapid eye movement sleep latency (REML), and arousal index (AI) were significantly increased. Additionally, there was no significant difference among N3%, slow wave sleep (SWS)%, and apnea-hypopnea index (AHI).ConclusionOur findings demonstrated that architecture and sleep continuity had been disturbed in patients with RLS, which further illustrates the changes in sleep structure in patients with RLS. In addition, further attention to the underlying pathophysiological mechanisms of RLS and its association with neurodegenerative diseases is needed in future studies.
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Affiliation(s)
- Chaofan Geng
- Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
| | - Zhenzhen Yang
- Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Zhengzhou, China
| | - Tingting Zhang
- Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
| | - Pengfei Xu
- Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
| | - Hongju Zhang
- Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- *Correspondence: Hongju Zhang
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Geng C, Yang Z, Kong X, Xu P, Zhang H. Association between thyroid function and disease severity in restless legs syndrome. Front Neurol 2022; 13:974229. [PMID: 36034269 PMCID: PMC9412235 DOI: 10.3389/fneur.2022.974229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 07/25/2022] [Indexed: 12/30/2022] Open
Abstract
Background Restless Legs Syndrome (RLS) is a common neurological disorder. Growing evidence shows that dopaminergic dysfunction and iron deficiency are associated with the pathogenesis of RLS. Additionally, the dopaminergic system is linked with the hypothalamic-pituitary-thyroid (HPT) axis. Thus, the current study aimed to compare thyroid function between RLS patients and healthy subjects and investigate the associations with clinical characteristics of RLS. Methods Serum levels of thyroid hormones were investigated in 102 first-episode drug-naïve RLS patients and 80 matched healthy controls (HCs). Baseline data and clinical characteristics were performed by professional personnel. In addition, multivariate regression was used to analyze the relationship between thyroid function and RLS. Results Compared with control group, RLS patients had significantly higher serum thyroid-stimulating hormone (TSH) levels (p < 0.001), and higher prevalence of subclinical hypothyroidism [Odds ratio (OR) 8.00; 95% confidence interval (CI) = 3.50–18.30; p < 0.001]. The Subclinical hypothyroidism rate (47.1 vs. 10%, p < 0.001) in RLS patients was higher than the HCs group. Regression analysis revealed that serum TSH (OR = 1.77; 95% CI = 1.41–2.23; p < 0.001) was independently associated with RLS. There was a statistically significant positive correlation between TSH and the Pittsburgh sleep quality index (PSQI) scores (r = 0.728, p < 0.001), and the International Restless Legs Scales (IRLS) points (r = 0.627, p < 0.001). Spearman correlation analysis showed that FT3 was positive correlated with HAMA14 score (r = 0.239, p = 0.015). In addition, compared with the good-sleeper group, poor-sleeper patients had significantly higher serum TSH levels (p < 0.001). Conclusion Serum levels of TSH and the prevalence of subclinical hypothyroidism were higher in RLS patients, indicating the imbalance between thyroid hormones (TH) and the dopaminergic system may contribute to the development of primary RLS. Additionally, the TH axis may influence the quality of sleep in RLS patients.
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Affiliation(s)
- Chaofan Geng
- Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
| | - Zhenzhen Yang
- Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiumei Kong
- Henan University Joint National Laboratory for Antibody Drug Engineering, Kaifeng, China
| | - Pengfei Xu
- Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
| | - Hongju Zhang
- Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China
- *Correspondence: Hongju Zhang
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Yu G, Yang Y, Yan Y, Guo M, Zhang X, Wang J. DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022; 19:2166-2176. [PMID: 33571094 DOI: 10.1109/tcbb.2021.3058801] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Alternative splicing produces different isoforms from the same gene locus, it is an important mechanism for regulating gene expression and proteome diversity. Although the prediction of gene(ncRNA)-disease associations has been extensively studied, few (or no) computational solutions have been proposed for the prediction of isoform-disease association (IDA) at a large scale, mainly due to the lack of disease annotations of isoforms. However, increasing evidences confirm the associations between diseases and isoforms, which can more precisely uncover the pathology of complex diseases. Therefore, it is highly desirable to predict IDAs. To bridge this gap, we propose a deep neural network based solution (DeepIDA) to fuse multi-type genomics and transcriptomics data to predict IDAs. Particularly, DeepIDA uses gene-isoform relations to dispatch gene-disease associations to isoforms. In addition, it utilizes two DNN sub-networks with different structures to capture nucleotide and expression features of isoforms, Gene Ontology data and miRNA target data, respectively. After that, these two sub-networks are merged in a dense layer to predict IDAs. The experimental results on public datasets show that DeepIDA can effectively predict IDAs with AUPRC (area under the precision-recall curve) of 0.9141, macro F-measure of 0.9155, G-mean of 0.9278 and balanced accuracy of 0.9303 across 732 diseases, which are much higher than those of competitive methods. Further study on sixteen isoform-disease association cases again corroborates the superiority of DeepIDA. The code of DeepIDA is available at http://mlda.swu.edu.cn/codes.php?name=DeepIDA.
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Jiang YJ, Fann CSJ, Fuh JL, Chung MY, Huang HY, Chu KC, Wang YF, Hsu CL, Kao LS, Chen SP, Wang SJ. Genome-wide analysis identified novel susceptible genes of restless legs syndrome in migraineurs. J Headache Pain 2022; 23:39. [PMID: 35350973 PMCID: PMC8966278 DOI: 10.1186/s10194-022-01409-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 03/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background Restless legs syndrome is a highly prevalent comorbidity of migraine; however, its genetic contributions remain unclear. Objectives To identify the genetic variants of restless legs syndrome in migraineurs and to investigate their potential pathogenic roles. Methods We conducted a two-stage genome-wide association study (GWAS) to identify susceptible genes for restless legs syndrome in 1,647 patients with migraine, including 264 with and 1,383 without restless legs syndrome, and also validated the association of lead variants in normal controls unaffected with restless legs syndrome (n = 1,053). We used morpholino translational knockdown (morphants), CRISPR/dCas9 transcriptional knockdown, transient CRISPR/Cas9 knockout (crispants) and gene rescue in one-cell stage embryos of zebrafish to study the function of the identified genes. Results We identified two novel susceptibility loci rs6021854 (in VSTM2L) and rs79823654 (in CCDC141) to be associated with restless legs syndrome in migraineurs, which remained significant when compared to normal controls. Two different morpholinos targeting vstm2l and ccdc141 in zebrafish demonstrated behavioural and cytochemical phenotypes relevant to restless legs syndrome, including hyperkinetic movements of pectoral fins and decreased number in dopaminergic amacrine cells. These phenotypes could be partially reversed with gene rescue, suggesting the specificity of translational knockdown. Transcriptional CRISPR/dCas9 knockdown and transient CRISPR/Cas9 knockout of vstm2l and ccdc141 replicated the findings observed in translationally knocked-down morphants. Conclusions Our GWAS and functional analysis suggest VSTM2L and CCDC141 are highly relevant to the pathogenesis of restless legs syndrome in migraineurs. Supplementary Information The online version contains supplementary material available at 10.1186/s10194-022-01409-9.
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Affiliation(s)
- Yun-Jin Jiang
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli County, 35053, Taiwan.,Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
| | | | - Jong-Ling Fuh
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, 11217, Taiwan.,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
| | - Ming-Yi Chung
- Department of Life Sciences & Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.,Department of Medical Research, Taipei Veterans General Hospital, Taipei, 11217, Taiwan
| | - Hui-Ying Huang
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli County, 35053, Taiwan
| | - Kuo-Chang Chu
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli County, 35053, Taiwan
| | - Yen-Feng Wang
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, 11217, Taiwan.,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
| | - Chia-Lin Hsu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 11529, Taiwan
| | - Lung-Sen Kao
- Department of Life Sciences & Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
| | - Shih-Pin Chen
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, 11217, Taiwan. .,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan. .,Department of Medical Research, Taipei Veterans General Hospital, Taipei, 11217, Taiwan. .,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan. .,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
| | - Shuu-Jiun Wang
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, 11217, Taiwan. .,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan. .,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
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Cathiard L, Fraulob V, Lam DD, Torres M, Winkelmann J, Krężel W. Investigation of dopaminergic signalling in Meis homeobox 1 (Meis1) deficient mice as an animal model of restless legs syndrome. J Sleep Res 2021; 30:e13311. [PMID: 34008292 DOI: 10.1111/jsr.13311] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 01/28/2021] [Accepted: 01/28/2021] [Indexed: 12/24/2022]
Abstract
Restless legs syndrome (RLS) is a common neurological disorder in which sensorimotor symptoms lead to sleep disturbances with substantial impact on life quality. RLS is caused by a combination of genetic and environmental factors, and Meis homeobox 1 (MEIS1) was identified as the main genetic risk factor. The efficacy of dopaminergic agonists, including dopamine D2 receptor (DRD2) agonists, for treating RLS led to the hypothesis of dopaminergic impairment. However, it remains unclear whether it is directly involved in the disease aetiology and what the role of MEIS1 is considering its developmental and postnatal expression in the striatum, a critical structure in motor control. We addressed the role of MEIS1 in striatal dopaminergic signalling in Meis1+/- mice, a valid animal model of RLS, and in Meis1Drd2 -/- mice carrying a somatic null mutation of Meis1 in Drd2+ neurones. Motor behaviours, pharmacological exploration of DRD2 signalling, and quantitative analyses of DRD2+ and DRD1+ expressing neurones were investigated. Although Meis1+/- mice displayed an RLS-like phenotype, including motor hyperactivity at the beginning of the rest phase, no reduction of dopaminoceptive neurones was observed in the striatum. Moreover, the null mutation of Meis1 in DRD2+ cells did not lead to RLS-like symptoms and dysfunction of the DRD2 pathway. These data indicate that MEIS1 does not modulate DRD2-dependent signalling in a cell-autonomous manner. Thus, the efficiency of D2 -like agonists may reflect the involvement of other dopaminergic receptors or normalisation of motor circuit abnormalities downstream from defects caused by MEIS1 dysfunction.
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Affiliation(s)
- Lucile Cathiard
- Institute of Genetics and Molecular and Cellular Biology, CNRS UMR7104, INSERM U1258, University of Strasbourg, Illkirch, France
| | - Valerie Fraulob
- Institute of Genetics and Molecular and Cellular Biology, CNRS UMR7104, INSERM U1258, University of Strasbourg, Illkirch, France
| | - Daniel D Lam
- Institute for Human Genetic, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Miguel Torres
- Cardiovascular Development Program, Centro Nacional de Investigaciones Cardiovasculares, CNIC, Madrid, Spain
| | - Juliane Winkelmann
- Institute for Human Genetic, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.,Chair for Neucgenetic, Klinikum rechts der Isar, Technische Universität München; Institute for Neurogenomics, Helmholtz Zentrum München; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Wojciech Krężel
- Institute of Genetics and Molecular and Cellular Biology, CNRS UMR7104, INSERM U1258, University of Strasbourg, Illkirch, France
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9
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Sarayloo F, Dion PA, Rouleau GA. MEIS1 and Restless Legs Syndrome: A Comprehensive Review. Front Neurol 2019; 10:935. [PMID: 31551905 PMCID: PMC6736557 DOI: 10.3389/fneur.2019.00935] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 08/12/2019] [Indexed: 11/13/2022] Open
Abstract
Restless legs syndrome (RLS) is a common sleep-related disorder for which the underlying biological pathways and genetic determinants are not well understood. The genetic factors so far identified explain less than 10% of the disease heritability. The first successful genome-wide association study (GWAS) of RLS was reported in 2007. This study identified multiple RLS associated risk variants including some within the non-coding regions of MEIS1. The MEIS1 GWAS signals are some of the strongest genetic associations reported for any common disease. MEIS1 belongs to the homeobox containing transcriptional regulatory network (HOX). Work in C. elegans showed a link between the MEIS1 ortholog and iron homeostasis, which is in line with the fact that central nervous system (CNS) iron insufficiency is thought to be a cause of RLS. Zebrafish and mice have been used to study the MEIS1 gene identifying an RLS-associated-SNP dependent enhancer activity from the highly conserved non-coding regions (HCNR) of MEIS1. Furthermore, this gene shows a lower expression of mRNA and protein in blood and thalamus of individuals with the MEIS1 RLS risk haplotype. Simulating this reduced MEIS1 expression in mouse models resulted in circadian hyperactivity, a phenotype compatible with RLS. While MEIS1 shows a strong association with RLS, the protein's function that is directly linked to an RLS biological pathway remains to be discovered. The links to iron and the enhancer activity of the HCNRs of MEIS1 suggest promising links to RLS pathways, however more in-depth studies on this gene's function are required. One important aspect of MEIS1's role in RLS is the fact that it encodes a homeobox containing transcription factor, which is essential during development. Future studies with more focus on the transcriptional regulatory role of MEIS1 may open novel venues for RLS research.
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Affiliation(s)
- Faezeh Sarayloo
- Department of Human Genetics, McGill University, Montreal, QC, Canada.,Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Patrick A Dion
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Guy A Rouleau
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
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[Frequent neurological diseases associated with the restless legs syndrome]. DER NERVENARZT 2019; 89:1156-1164. [PMID: 29736677 DOI: 10.1007/s00115-018-0528-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Restless legs syndrome (RLS) is a common neurological disease. Studies have shown that RLS is associated with a variety of medical and neurological disorders. OBJECTIVES Using the example of three associated neurological diseases, the significance for everyday therapy decisions is assessed. MATERIAL AND METHODS A systematic search was carried out in PubMed for all studies with the keyword "RLS" in combination with polyneuropathies (PNP), Parkinson's disease (PD) and multiple sclerosis (MS) and classified according to the methodology in high, medium or low study quality. RESULTS Of 16 studies on RLS and MS, 10 were rated as "high". The high association frequency of RLS in MS between 13.3% and 65.1% (the variability possibly originates from different methods) prevents further statements about the prevalence. Within 30 studies on Parkinson's disease 17 were classified as having a high quality. In patients with Parkinson disease RLS occurs most frequently during therapy and is related to the duration of dopaminergic treatment. In patients with polyneuropathy, only 5 out of 24 studies were classified as being of high quality and an increased RLS prevalence was detected for acquired polyneuropathies with heterogeneous data for hereditary forms. CONCLUSION There is an increased prevalence of association with RLS for the diseases discussed. This prevalence is possibly determined by the pathophysiology of these disorders. These diseases are possibly characterized by genetic predispositions as well, which can hopefully be classified more accurately in the future.
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11
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Role of MEIS1 in restless legs syndrome: From GWAS to functional studies in mice. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2019; 84:175-184. [PMID: 31229170 DOI: 10.1016/bs.apha.2019.03.003] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
MEIS1 is a transcription factor playing an important role in the development of several organs, including central and peripheral nervous systems. A genetic locus spanning the MEIS1 coding region has been associated with the risk of RLS in genome-wide association studies, with increasing evidence that MEIS1 is the causal RLS gene. The RLS-linked genetic signal has been mapped to an intronic regulatory element within MEIS1. This element plays a role in the ganglionic eminences of the developing forebrain, with the RLS risk allele related to a reduced activation of the enhancer. This suggests that the ganglionic eminences play an important role in the development of genetic susceptibility to RLS. In addition, rare variants within MEIS1 have been shown to contribute to the disease risk. These variants were identified first in RLS families and later found in further RLS cases by targeted sequencing. Some of these variants alone are sufficient to suppress MEIS1 function in neural development, providing further evidence of the importance of neurodevelopmental processes in the pathological mechanism of MEIS1 in RLS. Heterozygous Meis1 inactivation in mice causes hyperactivity at the onset of the inactive period, consistent with human RLS. In addition, these mice revealed an effect of MEIS1 on the dopaminergic system at both the spinal and supraspinal level. More studies are needed in human genetics to determine the exact role of MEIS1 variants in the risk of RLS, as well as in functional genetics and animal studies to further elucidate the pathological mechanism of MEIS1 in RLS.
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12
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Hammerschlag AR, Stringer S, de Leeuw CA, Sniekers S, Taskesen E, Watanabe K, Blanken TF, Dekker K, te Lindert BHW, Wassing R, Jonsdottir I, Thorleifsson G, Stefansson H, Gislason T, Berger K, Schormair B, Wellmann J, Winkelmann J, Stefansson K, Oexle K, Van Someren EJW, Posthuma D. Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits. Nat Genet 2017; 49:1584-1592. [PMID: 28604731 PMCID: PMC5600256 DOI: 10.1038/ng.3888] [Citation(s) in RCA: 182] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2016] [Accepted: 05/03/2017] [Indexed: 12/31/2022]
Abstract
Persistent insomnia is among the most frequent complaints in general practice. To identify genetic factors for insomnia complaints, we performed a genome-wide association study (GWAS) and a genome-wide gene-based association study (GWGAS) in 113,006 individuals. We identify three loci and seven genes associated with insomnia complaints, with the associations for one locus and five genes supported by joint analysis with an independent sample (n = 7,565). Our top association (MEIS1, P < 5 × 10-8) has previously been implicated in restless legs syndrome (RLS). Additional analyses favor the hypothesis that MEIS1 exhibits pleiotropy for insomnia and RLS and show that the observed association with insomnia complaints cannot be explained only by the presence of an RLS subgroup within the cases. Sex-specific analyses suggest that there are different genetic architectures between the sexes in addition to shared genetic factors. We show substantial positive genetic correlation of insomnia complaints with internalizing personality traits and metabolic traits and negative correlation with subjective well-being and educational attainment. These findings provide new insight into the genetic architecture of insomnia.
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Affiliation(s)
- Anke R Hammerschlag
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, The Netherlands
| | - Sven Stringer
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, The Netherlands
| | - Christiaan A de Leeuw
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, The Netherlands
| | - Suzanne Sniekers
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, The Netherlands
| | - Erdogan Taskesen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, The Netherlands
- Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Kyoko Watanabe
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, The Netherlands
| | - Tessa F Blanken
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Departments of Integrative Neurophysiology and Psychiatry, Amsterdam Neuroscience, VU University and Medical Center, Amsterdam, The Netherlands
| | - Kim Dekker
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Bart HW te Lindert
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Rick Wassing
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Ingileif Jonsdottir
- deCODE genetics / Amgen Inc., Reykjavík, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | - Thorarinn Gislason
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Respiratory Medicine and Sleep, Landspitali, The National University Hospital of Iceland, Reykjavik, Iceland
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany
| | - Barbara Schormair
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Juergen Wellmann
- Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
- Neurologische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Kari Stefansson
- deCODE genetics / Amgen Inc., Reykjavík, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Konrad Oexle
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Eus JW Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Departments of Integrative Neurophysiology and Psychiatry, Amsterdam Neuroscience, VU University and Medical Center, Amsterdam, The Netherlands
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
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13
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Anttonen AK, Laari A, Kousi M, Yang YJ, Jääskeläinen T, Somer M, Siintola E, Jakkula E, Muona M, Tegelberg S, Lönnqvist T, Pihko H, Valanne L, Paetau A, Lun MP, Hästbacka J, Kopra O, Joensuu T, Katsanis N, Lehtinen MK, Palvimo JJ, Lehesjoki AE. ZNHIT3 is defective in PEHO syndrome, a severe encephalopathy with cerebellar granule neuron loss. Brain 2017; 140:1267-1279. [PMID: 28335020 DOI: 10.1093/brain/awx040] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2016] [Accepted: 01/06/2017] [Indexed: 11/12/2022] Open
Abstract
Progressive encephalopathy with oedema, hypsarrhythmia, and optic atrophy (PEHO) syndrome is an early childhood onset, severe autosomal recessive encephalopathy characterized by extreme cerebellar atrophy due to almost total granule neuron loss. By combining homozygosity mapping in Finnish families with Sanger sequencing of positional candidate genes and with exome sequencing a homozygous missense substitution of leucine for serine at codon 31 in ZNHIT3 was identified as the primary cause of PEHO syndrome. ZNHIT3 encodes a nuclear zinc finger protein previously implicated in transcriptional regulation and in small nucleolar ribonucleoprotein particle assembly and thus possibly to pre-ribosomal RNA processing. The identified mutation affects a highly conserved amino acid residue in the zinc finger domain of ZNHIT3. Both knockdown and genome editing of znhit3 in zebrafish embryos recapitulate the patients' cerebellar defects, microcephaly and oedema. These phenotypes are rescued by wild-type, but not mutant human ZNHIT3 mRNA, suggesting that the patient missense substitution causes disease through a loss-of-function mechanism. Transfection of cell lines with ZNHIT3 expression vectors showed that the PEHO syndrome mutant protein is unstable. Immunohistochemical analysis of mouse cerebellar tissue demonstrated ZNHIT3 to be expressed in proliferating granule cell precursors, in proliferating and post-mitotic granule cells, and in Purkinje cells. Knockdown of Znhit3 in cultured mouse granule neurons and ex vivo cerebellar slices indicate that ZNHIT3 is indispensable for granule neuron survival and migration, consistent with the zebrafish findings and patient neuropathology. These results suggest that loss-of-function of a nuclear regulator protein underlies PEHO syndrome and imply that establishment of its spatiotemporal interaction targets will be the basis for developing therapeutic approaches and for improved understanding of cerebellar development.
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Affiliation(s)
- Anna-Kaisa Anttonen
- The Folkhälsan Institute of Genetics, Haartmaninkatu 8, 00290 Helsinki, Finland.,Neuroscience Center, University of Helsinki, Viikinkaari 4, 00790 Helsinki, Finland.,Research Programs Unit, Molecular Neurology, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.,Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Anni Laari
- The Folkhälsan Institute of Genetics, Haartmaninkatu 8, 00290 Helsinki, Finland.,Neuroscience Center, University of Helsinki, Viikinkaari 4, 00790 Helsinki, Finland.,Research Programs Unit, Molecular Neurology, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Maria Kousi
- Center for Human Disease Modeling, Duke University Medical Center, Carmichael Building, 300 North Duke Street, Suite 48-118, Durham, NC 27701, USA
| | - Yawei J Yang
- Division of Genetics, Howard Hughes Medical Institute.,Institute for Molecular Medicine Finland, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.,Department of Pediatric Neurology, Children's Hospital, University of Helsinki and Helsinki University Hospital, Lastenlinnantie 2, 00290 Helsinki, Finland
| | - Tiina Jääskeläinen
- Institute of Biomedicine, University of Eastern Finland, Yliopistonranta 1, 70210 Kuopio, Finland.,Institute of Dentistry, University of Eastern Finland, Yliopistonranta 1, 70210 Kuopio, Finland
| | - Mirja Somer
- The Norio Centre, The Rinnekoti Foundation, Kornetintie 8, 00380 Helsinki, Finland
| | - Eija Siintola
- The Folkhälsan Institute of Genetics, Haartmaninkatu 8, 00290 Helsinki, Finland.,Neuroscience Center, University of Helsinki, Viikinkaari 4, 00790 Helsinki, Finland
| | - Eveliina Jakkula
- Institute for Molecular Medicine Finland, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Mikko Muona
- The Folkhälsan Institute of Genetics, Haartmaninkatu 8, 00290 Helsinki, Finland.,Neuroscience Center, University of Helsinki, Viikinkaari 4, 00790 Helsinki, Finland.,Research Programs Unit, Molecular Neurology, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.,Institute for Molecular Medicine Finland, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Saara Tegelberg
- The Folkhälsan Institute of Genetics, Haartmaninkatu 8, 00290 Helsinki, Finland.,Neuroscience Center, University of Helsinki, Viikinkaari 4, 00790 Helsinki, Finland.,Research Programs Unit, Molecular Neurology, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Tuula Lönnqvist
- Department of Pediatric Neurology, Children's Hospital, University of Helsinki and Helsinki University Hospital, Lastenlinnantie 2, 00290 Helsinki, Finland
| | - Helena Pihko
- Department of Pediatric Neurology, Children's Hospital, University of Helsinki and Helsinki University Hospital, Lastenlinnantie 2, 00290 Helsinki, Finland
| | - Leena Valanne
- Department of Radiology, HUS Medical Imaging Center, Haartmaninkatu 4, 00290 Helsinki, Finland
| | - Anders Paetau
- Department of Pathology, Helsinki University Hospital, Haartmaninkatu 3, 00290 Helsinki, Finland
| | - Melody P Lun
- Department of Pathology, Boston Children's Hospital, BCH 3108, 300 Longwood Ave., Boston, MA 02115, USA.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, 670 Albany Street, Boston, MA 02118, USA
| | - Johanna Hästbacka
- The Folkhälsan Institute of Genetics, Haartmaninkatu 8, 00290 Helsinki, Finland.,Department of Pediatrics, Children's Hospital, University of Helsinki and Helsinki University Hospital, Stenbäckinkatu 11, 00290 Helsinki, Finland
| | - Outi Kopra
- The Folkhälsan Institute of Genetics, Haartmaninkatu 8, 00290 Helsinki, Finland.,Neuroscience Center, University of Helsinki, Viikinkaari 4, 00790 Helsinki, Finland.,Research Programs Unit, Molecular Neurology, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Tarja Joensuu
- The Folkhälsan Institute of Genetics, Haartmaninkatu 8, 00290 Helsinki, Finland.,Neuroscience Center, University of Helsinki, Viikinkaari 4, 00790 Helsinki, Finland.,Research Programs Unit, Molecular Neurology, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Nicholas Katsanis
- Center for Human Disease Modeling, Duke University Medical Center, Carmichael Building, 300 North Duke Street, Suite 48-118, Durham, NC 27701, USA
| | - Maria K Lehtinen
- Department of Pathology, Boston Children's Hospital, BCH 3108, 300 Longwood Ave., Boston, MA 02115, USA
| | - Jorma J Palvimo
- Institute of Biomedicine, University of Eastern Finland, Yliopistonranta 1, 70210 Kuopio, Finland
| | - Anna-Elina Lehesjoki
- The Folkhälsan Institute of Genetics, Haartmaninkatu 8, 00290 Helsinki, Finland.,Neuroscience Center, University of Helsinki, Viikinkaari 4, 00790 Helsinki, Finland.,Research Programs Unit, Molecular Neurology, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
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14
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Tan PL, Garrett ME, Willer JR, Campochiaro PA, Campochiaro B, Zack DJ, Ashley-Koch AE, Katsanis N. Systematic Functional Testing of Rare Variants: Contributions of CFI to Age-Related Macular Degeneration. Invest Ophthalmol Vis Sci 2017; 58:1570-1576. [PMID: 28282489 PMCID: PMC6022411 DOI: 10.1167/iovs.16-20867] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Purpose Genome-wide association (GWAS) and sequencing studies for AMD have highlighted the importance of coding variants at loci that encode components of the complement pathway. However, assessing the contribution of such alleles to AMD, especially when they are rare, remains coarse, in part because of the persistent challenge in establishing their functional relevance. Others and we have shown previously that rare alleles in complement factor I (CFI) can be tested functionally using a surrogate in vivo assay of retinal vascularization in zebrafish embryos. Here, we have implemented and scaled these tools to assess the overall contribution of rare alleles in CFI to AMD. Methods We performed targeted sequencing of CFI in 731 AMD patients, followed by replication in a second patient cohort of 511 older healthy individuals. Systematic functional testing of all alleles and post-hoc statistical analysis of functional variants was also performed. Results We discovered 20 rare coding nonsynonymous variants, including the previously reported G119R allele. In vivo testing led to the identification of nine variants that alter CFI; six of which are associated with hypoactive complement factor I (FI). Post-hoc analysis in ethnically matched, population controls showed six of these to be present exclusively in cases. Conclusions Taken together, our data argue that multiple rare and ultra-rare alleles in CFI contribute to AMD pathogenesis; they improve the precision of the assessment of the contribution of CFI to AMD; and they offer a rational route to establishing both causality and direction of allele effect for genes associated with this disorder.
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Affiliation(s)
- Perciliz L Tan
- Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, United States 2Department of Cell Biology, Duke University Medical Center, Durham, North Carolina, United States
| | - Melanie E Garrett
- Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, United States
| | - Jason R Willer
- Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, United States
| | - Peter A Campochiaro
- Departments of Ophthalmology, Neuroscience, Johns Hopkins School of Medicine, Baltimore, Maryland, United States
| | - Betsy Campochiaro
- Departments of Ophthalmology, Neuroscience, Johns Hopkins School of Medicine, Baltimore, Maryland, United States
| | - Donald J Zack
- Departments of Ophthalmology, Neuroscience, Johns Hopkins School of Medicine, Baltimore, Maryland, United States 4Center for Stem Cells and Ocular Regenerative Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States 5Department of Molecular Biology and Genetics, Johns Hopkins School of Medicine, Baltimore, Maryland, United States
| | - Allison E Ashley-Koch
- Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, United States 6Departments of Medicine, Molecular Genetics and Microbiology, Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, United States
| | - Nicholas Katsanis
- Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, United States 2Department of Cell Biology, Duke University Medical Center, Durham, North Carolina, United States
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15
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Salminen AV, Garrett L, Schormair B, Rozman J, Giesert F, Niedermeier KM, Becker L, Rathkolb B, Rácz I, Klingenspor M, Klopstock T, Wolf E, Zimmer A, Gailus-Durner V, Torres M, Fuchs H, Hrabě de Angelis M, Wurst W, Hölter SM, Winkelmann J. Meis1: effects on motor phenotypes and the sensorimotor system in mice. Dis Model Mech 2017. [PMID: 28645892 PMCID: PMC5560065 DOI: 10.1242/dmm.030080] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
MEIS1 encodes a developmental transcription factor and has been linked to restless legs syndrome (RLS) in genome-wide association studies. RLS is a movement disorder leading to severe sleep reduction and has a substantial impact on the quality of life of patients. In genome-wide association studies, MEIS1 has consistently been the gene with the highest effect size and functional studies suggest a disease-relevant downregulation. Therefore, haploinsufficiency of Meis1 could be the system with the most potential for modeling RLS in animals. We used heterozygous Meis1-knockout mice to study the effects of Meis1 haploinsufficiency on mouse behavioral and neurological phenotypes, and to relate the findings to human RLS. We exposed the Meis1-deficient mice to assays of motor, sensorimotor and cognitive ability, and assessed the effect of a dopaminergic receptor 2/3 agonist commonly used in the treatment of RLS. The mutant mice showed a pattern of circadian hyperactivity, which is compatible with human RLS. Moreover, we discovered a replicable prepulse inhibition (PPI) deficit in the Meis1-deficient animals. In addition, these mice were hyposensitive to the PPI-reducing effect of the dopaminergic receptor agonist, highlighting a role of Meis1 in the dopaminergic system. Other reported phenotypes include enhanced social recognition at an older age that was not related to alterations in adult olfactory bulb neurogenesis previously shown to be implicated in this behavior. In conclusion, the Meis1-deficient mice fulfill some of the hallmarks of an RLS animal model, and revealed the role of Meis1 in sensorimotor gating and in the dopaminergic systems modulating it. Summary: Loss of Meis1 results in motor restlessness in mice, a phenotype resembling human restless legs syndrome, as well as altered sensorimotor gating and improved social discrimination memory.
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Affiliation(s)
- Aaro V Salminen
- Institute of Neurogenomics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Lillian Garrett
- Institute of Developmental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Barbara Schormair
- Institute of Neurogenomics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Jan Rozman
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Florian Giesert
- Institute of Developmental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Kristina M Niedermeier
- Institute of Developmental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Lore Becker
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Birgit Rathkolb
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany.,Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University München, 81377 Munich, Germany
| | - Ildikó Rácz
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,Institute of Molecular Psychiatry, Medical Faculty, University of Bonn, 53127 Bonn, Germany
| | | | - Martin Klingenspor
- Chair of Molecular Nutritional Medicine, Technical University Munich, EKFZ - Else Kröner Fresenius Center for Nutritional Medicine, Gregor-Mendel-Str. 2, 85350 Freising-Weihenstephan, Germany
| | - Thomas Klopstock
- Department of Neurology, Friedrich-Baur-Institute, Klinikum der Ludwig-Maximilians-Universität München, Ziemssenstr. 1a, 80336 Munich, Germany.,Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE), 81377 Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, 81377 Munich, Germany
| | - Eckhard Wolf
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University München, 81377 Munich, Germany
| | - Andreas Zimmer
- Institute of Molecular Psychiatry, Medical Faculty, University of Bonn, 53127 Bonn, Germany
| | - Valérie Gailus-Durner
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Miguel Torres
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029 Madrid, Spain
| | - Helmut Fuchs
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Martin Hrabě de Angelis
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany.,Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität 85354 Freising, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE), 81377 Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, 81377 Munich, Germany.,Chair of Developmental Genetics, Faculty of Life and Food Sciences Weihenstephan, Technische Universität München, 85354 Freising, Germany
| | - Sabine M Hölter
- Institute of Developmental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.,German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, 85764 Neuherberg, Germany .,Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, 81377 Munich, Germany.,Institute of Human Genetics, Klinikum Rechts der Isar, Technische Universität München, 81675 Munich, Germany.,Neurologic Clinic, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
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16
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Veatch OJ, Keenan BT, Gehrman PR, Malow BA, Pack AI. Pleiotropic genetic effects influencing sleep and neurological disorders. Lancet Neurol 2017; 16:158-170. [PMID: 28102151 DOI: 10.1016/s1474-4422(16)30339-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 10/04/2016] [Accepted: 11/09/2016] [Indexed: 10/20/2022]
Abstract
Research evidence increasingly points to the large impact of sleep disturbances on public health. Many aspects of sleep are heritable and genes influencing traits such as timing, EEG characteristics, sleep duration, and response to sleep loss have been identified. Notably, large-scale genome-wide analyses have implicated numerous genes with small effects on sleep timing. Additionally, there has been considerable progress in the identification of genes influencing risk for some neurological sleep disorders. For restless legs syndrome, implicated variants are typically in genes associated with neuronal development. By contrast, genes conferring risk for narcolepsy function in the immune system. Many genetic variants associated with sleep disorders are also implicated in neurological disorders in which sleep abnormalities are common; for example, variation in genes involved in synaptic homoeostasis are implicated in autism spectrum disorder and sleep-wake control. Further investigation into pleiotropic roles of genes influencing both sleep and neurological disorders could lead to new treatment strategies for a variety of sleep disturbances.
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Affiliation(s)
- Olivia J Veatch
- Department of Neurology, Vanderbilt University, Nashville, TN, USA; Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Brendan T Keenan
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Philip R Gehrman
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Beth A Malow
- Department of Neurology, Vanderbilt University, Nashville, TN, USA
| | - Allan I Pack
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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17
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Degn M, Dauvilliers Y, Dreisig K, Lopez R, Pfister C, Pradervand S, Rahbek Kornum B, Tafti M. Rare missense mutations in P2RY11 in narcolepsy with cataplexy. Brain 2017; 140:1657-1668. [DOI: 10.1093/brain/awx093] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 02/23/2017] [Indexed: 12/30/2022] Open
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MEIS1 variant as a determinant of autonomic imbalance in Restless Legs Syndrome. Sci Rep 2017; 7:46620. [PMID: 28425489 PMCID: PMC5397858 DOI: 10.1038/srep46620] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 03/21/2017] [Indexed: 12/14/2022] Open
Abstract
Restless Legs Syndrome (RLS) is a genetically complex neurological disorder in which overlapping genetic risk factors may contribute to the diversity and heterogeneity of the symptoms. The main goal of the study was to investigate, through analysis of heart rate variability (HRV), whether in RLS patients the MEIS1 polymorphism at risk influences the sympathovagal regulation in different sleep stages. Sixty-four RLS patients with periodic leg movement index above 15 per hour, and 38 controls underwent one night of video-polysomnographic recording. HRV in the frequency- and time- domains was analyzed during nighttime sleep. All RLS patients were genotyped, and homozygotes for rs2300478 in the MEIS1 locus were used for further analysis. Comparison of the sympathovagal pattern of RLS patients to control subjects did not show significant differences after adjustments for confounding factors in frequency-domain analyses, but showed an increased variability during N2 and N3 stages in time-domain analyses in RLS patients. Sorting of RLS patients according to MEIS1 polymorphism reconfirmed the association between MEIS1 and PLMS, and showed a significant increased sympathovagal balance during N3 stage in those homozygotes for the risk allele. RLS patients should be considered differently depending on MEIS1 genotype, some being potentially at risk for cardiovascular disorders.
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Levitas-Djerbi T, Appelbaum L. Modeling sleep and neuropsychiatric disorders in zebrafish. Curr Opin Neurobiol 2017; 44:89-93. [PMID: 28414966 DOI: 10.1016/j.conb.2017.02.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 02/28/2017] [Indexed: 01/03/2023]
Abstract
What are the molecular and cellular mechanisms that link neurological disorders and sleep disturbances? The transparent zebrafish model could bridge this gap in knowledge due to its unique genetic and imaging toolbox, and amenability to high-throughput screening. Sleep is well-characterized in zebrafish and key regulators of the sleep/wake cycle are conserved, including melatonin and hypocretin/orexin (Hcrt), whereas novel sleep regulating proteins are continually being identified, such as Kcnh4a, Neuromedin U, and QRFP. Sleep deficiencies have been observed in various zebrafish models for genetic neuropsychiatric disorders, ranging from psychomotor retardation and autism to anxiety disorders. Understanding the link between neuropsychiatric disorders and sleep phenotypes in zebrafish may ultimately provide a platform for identifying therapeutic targets for clinical trials in humans.
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Affiliation(s)
- Talia Levitas-Djerbi
- The Faculty of Life Sciences and the Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan 5290002, Israel
| | - Lior Appelbaum
- The Faculty of Life Sciences and the Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan 5290002, Israel.
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Mutations in TMEM260 Cause a Pediatric Neurodevelopmental, Cardiac, and Renal Syndrome. Am J Hum Genet 2017; 100:666-675. [PMID: 28318500 DOI: 10.1016/j.ajhg.2017.02.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Accepted: 02/17/2017] [Indexed: 01/27/2023] Open
Abstract
Despite the accelerated discovery of genes associated with syndromic traits, the majority of families affected by such conditions remain undiagnosed. Here, we employed whole-exome sequencing in two unrelated consanguineous kindreds with central nervous system (CNS), cardiac, renal, and digit abnormalities. We identified homozygous truncating mutations in TMEM260, a locus predicted to encode numerous splice isoforms. Systematic expression analyses across tissues and developmental stages validated two such isoforms, which differ in the utilization of an internal exon. The mutations in both families map uniquely to the long isoform, raising the possibility of an isoform-specific disorder. Consistent with this notion, RT-PCR of lymphocyte cell lines from one of the kindreds showed reduced levels of only the long isoform, which could be ameliorated by emetine, suggesting that the mutation induces nonsense-mediated decay. Subsequent in vivo testing supported this hypothesis. First, either transient suppression or CRISPR/Cas9 genome editing of zebrafish tmem260 recapitulated key neurological phenotypes. Second, co-injection of morphants with the long human TMEM260 mRNA rescued CNS pathology, whereas the short isoform was significantly less efficient. Finally, immunocytochemical and biochemical studies showed preferential enrichment of the long TMEM260 isoform to the plasma membrane. Together, our data suggest that there is overall reduced, but not ablated, functionality of TMEM260 and that attenuation of the membrane-associated functions of this protein is a principal driver of pathology. These observations contribute to an appreciation of the roles of splice isoforms in genetic disorders and suggest that dissection of the functions of these transcripts will most likely inform pathomechanism.
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Winkelmann J, Schormair B, Xiong L, Dion PA, Rye DB, Rouleau GA. Genetics of restless legs syndrome. Sleep Med 2017; 31:18-22. [DOI: 10.1016/j.sleep.2016.10.012] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Revised: 10/19/2016] [Accepted: 10/22/2016] [Indexed: 11/25/2022]
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Lane JM, Liang J, Vlasac I, Anderson SG, Bechtold DA, Bowden J, Emsley R, Gill S, Little MA, Luik AI, Loudon A, Scheer FAJL, Purcell SM, Kyle SD, Lawlor DA, Zhu X, Redline S, Ray DW, Rutter MK, Saxena R. Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits. Nat Genet 2017; 49:274-281. [PMID: 27992416 PMCID: PMC5491693 DOI: 10.1038/ng.3749] [Citation(s) in RCA: 236] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2016] [Accepted: 11/21/2016] [Indexed: 12/16/2022]
Abstract
Chronic sleep disturbances, associated with cardiometabolic diseases, psychiatric disorders and all-cause mortality, affect 25-30% of adults worldwide. Although environmental factors contribute substantially to self-reported habitual sleep duration and disruption, these traits are heritable and identification of the genes involved should improve understanding of sleep, mechanisms linking sleep to disease and development of new therapies. We report single- and multiple-trait genome-wide association analyses of self-reported sleep duration, insomnia symptoms and excessive daytime sleepiness in the UK Biobank (n = 112,586). We discover loci associated with insomnia symptoms (near MEIS1, TMEM132E, CYCL1 and TGFBI in females and WDR27 in males), excessive daytime sleepiness (near AR-OPHN1) and a composite sleep trait (near PATJ (INADL) and HCRTR2) and replicate a locus associated with sleep duration (at PAX8). We also observe genetic correlation between longer sleep duration and schizophrenia risk (rg = 0.29, P = 1.90 × 10-13) and between increased levels of excessive daytime sleepiness and increased measures for adiposity traits (body mass index (BMI): rg = 0.20, P = 3.12 × 10-9; waist circumference: rg = 0.20, P = 2.12 × 10-7).
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Affiliation(s)
- Jacqueline M Lane
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute, Cambridge, Massachusetts, USA
| | - Jingjing Liang
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Irma Vlasac
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
- Broad Institute, Cambridge, Massachusetts, USA
| | - Simon G Anderson
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- George Institute for Global Health, University of Oxford, Oxford Martin School, Oxford, UK
| | - David A Bechtold
- Division of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Jack Bowden
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Richard Emsley
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | | | - Max A Little
- Engineering and Applied Science, Aston University, Birmingham, UK
- Media Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Annemarie I Luik
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Andrew Loudon
- Division of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Shaun M Purcell
- Broad Institute, Cambridge, Massachusetts, USA
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - David W Ray
- Division of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Martin K Rutter
- Division of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester Diabetes Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Richa Saxena
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute, Cambridge, Massachusetts, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
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Abstract
Restless legs syndrome (RLS) is a complex disorder that involves sensory and motor systems. The major pathophysiology of RLS is low iron concentration in the substantia nigra containing the cell bodies of dopamine neurons that project to the striatum, an area that is crucial for modulating movement. People who have RLS often present with normal iron values outside the brain; recent studies implicate several genes are involved in the syndrome. Like most complex diseases, animal models usually do not faithfully capture the full phenotypic spectrum of "disease," which is a uniquely human construct. Nonetheless, animal models have proven useful in helping to unravel the complex pathophysiology of diseases such as RLS and suggesting novel treatment paradigms. For example, hypothesis-independent genome-wide association studies (GWAS) have identified several genes as increasing the risk for RLS, including BTBD9. Independently, the murine homolog Btbd9 was identified as a candidate gene for iron regulation in the midbrain in mice. The relevance of the phenotype of another of the GWAS identified genes, MEIS1, has also been explored. The role of Btbd9 in iron regulation and RLS-like behaviors has been further evaluated in mice carrying a null mutation of the gene and in fruit flies when the BTBD9 protein is degraded. The BTBD9 and MEIS1 stories originate from human GWAS research, supported by work in a genetic reference population of mice (forward genetics) and further verified in mice, fish flies, and worms. Finally, the role of genetics is further supported by an inbred mouse strain that displays many of the phenotypic characteristics of RLS. The role of animal models of RLS phenotypes is also extended to include periodic limb movements.
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Aridon P, De Fusco M, Winkelmann JW, Zucconi M, Arnao V, Ferini-Strambi L, Casari G. A TRAPPC6B splicing variant associates to restless legs syndrome. Parkinsonism Relat Disord 2016; 31:135-138. [PMID: 27569842 DOI: 10.1016/j.parkreldis.2016.08.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 07/22/2016] [Accepted: 08/16/2016] [Indexed: 01/09/2023]
Abstract
INTRODUCTION RLS is a common movement disorders with a strong genetic component in its pathophysiology, but, up to now, no causative mutation has been reported. METHODS We re-evaluated the previously described RLS2 family by exome sequencing. RESULTS We identified fifteen variations in the 14q critical region. The c.485G > A transition of the TRAPPC6B gene segregates with the RLS2 haplotype, is absent in 200 local controls and is extremely rare in 12988 exomes from the Exome Variant Server (EVS). This variant alters a splicing site and hampers the normal transcript processing by promoting exon 3-skipping as demonstrated by minigene transfection and by patient transcripts. CONCLUSIONS We identified a TRAPPC6B gene mutation associated to the RLS locus on chromosome 14.
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Affiliation(s)
- Paolo Aridon
- Vita-Salute San Raffaele University and Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy; Dipartimento di BioMedicina Sperimentale e Neuroscienze Cliniche-BioNec, Università di Palermo, Palermo, Italy
| | - Maurizio De Fusco
- Vita-Salute San Raffaele University and Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Juliane W Winkelmann
- Institut für Neurogenomik, Helmholtz Zentrum München, Munich, Germany; Neurologische Klinik, Klinikum rechts der Isar, Technische Universität München, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Marco Zucconi
- Sleep Disorders Center, Department of Clinical Neurosciences, Vita-Salute San Raffaele University, San Raffaele-Turro Hospital, Milan, Italy
| | - Valentina Arnao
- Dipartimento di BioMedicina Sperimentale e Neuroscienze Cliniche-BioNec, Università di Palermo, Palermo, Italy
| | - Luigi Ferini-Strambi
- Sleep Disorders Center, Department of Clinical Neurosciences, Vita-Salute San Raffaele University, San Raffaele-Turro Hospital, Milan, Italy
| | - Giorgio Casari
- Vita-Salute San Raffaele University and Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy.
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26
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Tan PL, Bowes Rickman C, Katsanis N. AMD and the alternative complement pathway: genetics and functional implications. Hum Genomics 2016; 10:23. [PMID: 27329102 PMCID: PMC4915094 DOI: 10.1186/s40246-016-0079-x] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Accepted: 06/08/2016] [Indexed: 12/22/2022] Open
Abstract
Age-related macular degeneration (AMD) is an ocular neurodegenerative disorder and is the leading cause of legal blindness in Western societies, with a prevalence of up to 8 % over the age of 60, which continues to increase with age. AMD is characterized by the progressive breakdown of the macula (the central region of the retina), resulting in the loss of central vision including visual acuity. While its molecular etiology remains unclear, advances in genetics and genomics have illuminated the genetic architecture of the disease and have generated attractive pathomechanistic hypotheses. Here, we review the genetic architecture of AMD, considering the contribution of both common and rare alleles to susceptibility, and we explore the possible mechanistic links between photoreceptor degeneration and the alternative complement pathway, a cascade that has emerged as the most potent genetic driver of this disorder.
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Affiliation(s)
- Perciliz L Tan
- Center for Human Disease Modeling, Duke University Medical Center, Durham, NC, 27710, USA.,Department of Cell Biology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Catherine Bowes Rickman
- Department of Cell Biology, Duke University Medical Center, Durham, NC, 27710, USA.,Department of Ophthalmology, Duke Eye Center, Duke University, Durham, NC, 27710, USA
| | - Nicholas Katsanis
- Center for Human Disease Modeling, Duke University Medical Center, Durham, NC, 27710, USA. .,Department of Cell Biology, Duke University Medical Center, Durham, NC, 27710, USA.
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27
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Trenkwalder C, Allen R, Högl B, Paulus W, Winkelmann J. Restless legs syndrome associated with major diseases: A systematic review and new concept. Neurology 2016; 86:1336-1343. [PMID: 26944272 DOI: 10.1212/wnl.0000000000002542] [Citation(s) in RCA: 228] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Accepted: 12/10/2015] [Indexed: 12/21/2022] Open
Abstract
Recent publications on both the genetics and environmental factors of restless legs syndrome (RLS) defined as a clinical disorder suggest that overlapping genetic risk factors may play a role in primary (idiopathic) and secondary (symptomatic) RLS. Following a systematic literature search of RLS associated with comorbidities, we identified an increased prevalence of RLS only in iron deficiency and kidney disease. In cardiovascular disease, arterial hypertension, diabetes, migraine, and Parkinson disease, the methodology of studies was poor, but an association might be possible. There is insufficient evidence for conditions such as anemia (without iron deficiency), chronic obstructive pulmonary disease, multiple sclerosis, headache, stroke, narcolepsy, and ataxias. Based on possible gene-microenvironmental interaction, the classifications primary and secondary RLS may suggest an inappropriate causal relation. We recognize that in some conditions, treatment of the underlying disease should be achieved as far as possible to reduce or eliminate RLS symptoms. RLS might be seen as a continuous spectrum with a major genetic contribution at one end and a major environmental or comorbid disease contribution at the other.
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Affiliation(s)
- Claudia Trenkwalder
- From Center of Parkinsonism and Movement Disorders (C.T.), Paracelsus-Elena Hospital, Kassel; Departments of Neurosurgery (C.T.) and Clinical Neurophysiology (W.P.), University Medical Center, Göttingen, Germany; Department of Neurology (R.A.), The Johns Hopkins Bayview Medical Center, Baltimore, MD; Department of Neurology (B.H.), Medical University of Innsbruck, Austria; Institute for Neurogenomic (J.W.), Helmholtz Zentrum München, Neuherberg; Neurologische Klinik und Poliklinik (J.W.), Klinikum rechts der Isar, Technische Universität München, Munich; and Munich Cluster for Systems Neurology (SyNergy) (J.W.), Munich, Germany.
| | - Richard Allen
- From Center of Parkinsonism and Movement Disorders (C.T.), Paracelsus-Elena Hospital, Kassel; Departments of Neurosurgery (C.T.) and Clinical Neurophysiology (W.P.), University Medical Center, Göttingen, Germany; Department of Neurology (R.A.), The Johns Hopkins Bayview Medical Center, Baltimore, MD; Department of Neurology (B.H.), Medical University of Innsbruck, Austria; Institute for Neurogenomic (J.W.), Helmholtz Zentrum München, Neuherberg; Neurologische Klinik und Poliklinik (J.W.), Klinikum rechts der Isar, Technische Universität München, Munich; and Munich Cluster for Systems Neurology (SyNergy) (J.W.), Munich, Germany
| | - Birgit Högl
- From Center of Parkinsonism and Movement Disorders (C.T.), Paracelsus-Elena Hospital, Kassel; Departments of Neurosurgery (C.T.) and Clinical Neurophysiology (W.P.), University Medical Center, Göttingen, Germany; Department of Neurology (R.A.), The Johns Hopkins Bayview Medical Center, Baltimore, MD; Department of Neurology (B.H.), Medical University of Innsbruck, Austria; Institute for Neurogenomic (J.W.), Helmholtz Zentrum München, Neuherberg; Neurologische Klinik und Poliklinik (J.W.), Klinikum rechts der Isar, Technische Universität München, Munich; and Munich Cluster for Systems Neurology (SyNergy) (J.W.), Munich, Germany
| | - Walter Paulus
- From Center of Parkinsonism and Movement Disorders (C.T.), Paracelsus-Elena Hospital, Kassel; Departments of Neurosurgery (C.T.) and Clinical Neurophysiology (W.P.), University Medical Center, Göttingen, Germany; Department of Neurology (R.A.), The Johns Hopkins Bayview Medical Center, Baltimore, MD; Department of Neurology (B.H.), Medical University of Innsbruck, Austria; Institute for Neurogenomic (J.W.), Helmholtz Zentrum München, Neuherberg; Neurologische Klinik und Poliklinik (J.W.), Klinikum rechts der Isar, Technische Universität München, Munich; and Munich Cluster for Systems Neurology (SyNergy) (J.W.), Munich, Germany
| | - Juliane Winkelmann
- From Center of Parkinsonism and Movement Disorders (C.T.), Paracelsus-Elena Hospital, Kassel; Departments of Neurosurgery (C.T.) and Clinical Neurophysiology (W.P.), University Medical Center, Göttingen, Germany; Department of Neurology (R.A.), The Johns Hopkins Bayview Medical Center, Baltimore, MD; Department of Neurology (B.H.), Medical University of Innsbruck, Austria; Institute for Neurogenomic (J.W.), Helmholtz Zentrum München, Neuherberg; Neurologische Klinik und Poliklinik (J.W.), Klinikum rechts der Isar, Technische Universität München, Munich; and Munich Cluster for Systems Neurology (SyNergy) (J.W.), Munich, Germany.
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Fonseca ACS, Bonaldi A, Fonseca SAS, Otto PA, Kok F, Bak M, Tommerup N, Vianna-Morgante AM. The segregation of different submicroscopic imbalances underlying the clinical variability associated with a familial karyotypically balanced translocation. Mol Cytogenet 2015; 8:106. [PMID: 26719771 PMCID: PMC4696321 DOI: 10.1186/s13039-015-0205-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2015] [Accepted: 12/18/2015] [Indexed: 12/21/2022] Open
Abstract
Background About 7 % of karyotypically balanced chromosomal rearrangements (BCRs) are associated with congenital anomalies due to gene or regulatory element disruption, and cryptic imbalances on rearranged chromosomes. Rare familial BCRs segregating with clinical features are a powerful source for the identifying of causative genes due to the presence of several affected carriers. Case presentation We report on a karyotypically balanced translocation t(2;22)(p13;q12.2) associated with variable learning disabilities, and craniofacial and hand dysmorphisms, detected in six individuals in a three-generation family. Combined a-CGH, FISH and mate-pair sequencing revealed a ten-break complex rearrangement, also involving chromosome 5. As the consequence of the segregation of the derivative chromosomes der(2), der(5) and der(22), different imbalances were present in affected and clinically normal family members, thus contributing to the clinical variability. A 6.64 Mb duplication of a 5q23.2-23.3 segment was the imbalance common to all affected individuals. Although LMNB1, implicated in adult-onset autosomal dominant leukodystrophy (ADLD) when overexpressed, was among the 18 duplicated genes, none of the adult carriers manifested ADLD, and LMNB1 overexpression was not detected in the two tested individuals, after qRT-PCR. The ectopic location of the extra copy of the LMBN1 gene on chromosome 22 might have negatively impacted its expression. In addition, two individuals presenting with more severe learning disabilities carried a 1.42 Mb 2p14 microdeletion, with three genes (CEP68, RAB1A and ACTR2),which are candidates for the intellectual impairment observed in the previously described 2p14p15 microdeletion syndrome, mapping to the minimal overlapping deleted segment. A 5p15.1 deletion, encompassing 1.47 Mb, also detected in the family, did not segregate with the clinical phenotype. Conclusion The disclosing of the complexity of an apparently simple two-break familial rearrangement illustrates the importance of reconstructing the precise structure of derivative chromosomes for establishing genotype-phenotype correlations. Electronic supplementary material The online version of this article (doi:10.1186/s13039-015-0205-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ana Carolina S Fonseca
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, Rua do Matão, 277, 05508-090 São Paulo, SP Brazil ; Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Adriano Bonaldi
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, Rua do Matão, 277, 05508-090 São Paulo, SP Brazil
| | - Simone A S Fonseca
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, Rua do Matão, 277, 05508-090 São Paulo, SP Brazil
| | - Paulo A Otto
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, Rua do Matão, 277, 05508-090 São Paulo, SP Brazil
| | - Fernando Kok
- Department of Neurology, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
| | - Mads Bak
- Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Niels Tommerup
- Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Angela M Vianna-Morgante
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, Rua do Matão, 277, 05508-090 São Paulo, SP Brazil
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29
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Abstract
Sleep disorders are, in part, attributable to genetic variability across individuals. There has been considerable progress in understanding the role of genes for some sleep disorders, such as the identification of a human leukocyte antigen gene for narcolepsy. For other sleep disorders, such as insomnia, little work has been done. Optimizing phenotyping strategies is critical, as is the case for sleep apnea, for which intermediate traits such as obesity and craniofacial features may prove to be more tractable for genetic studies. Rapid advances in genotyping and statistical genetics are likely to lead to greater discoveries in the near future.
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Affiliation(s)
- Philip R Gehrman
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Suite 670, Philadelphia, PA 19104, USA.
| | - Brendan T Keenan
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, 125 South 31st Street, Suite 2100, Philadelphia, PA 19104-3403, USA
| | - Enda M Byrne
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, 125 South 31st Street, Suite 2100, Philadelphia, PA 19104-3403, USA; Queensland Brain Institute, Brisbane QLD 4072, Australia
| | - Allan I Pack
- Division of Sleep Medicine, Department of Medicine, Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, 125 South 31st Street, Suite 2100, Philadelphia, PA 19104-3403, USA
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30
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Winkelman JW, Blackwell T, Stone K, Ancoli-Israel S, Tranah GJ, Redline S. Genetic associations of periodic limb movements of sleep in the elderly for the MrOS sleep study. Sleep Med 2015; 16:1360-1365. [PMID: 26498236 DOI: 10.1016/j.sleep.2015.07.017] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Revised: 07/28/2015] [Accepted: 07/31/2015] [Indexed: 10/23/2022]
Abstract
OBJECTIVE The objective of this study was to assess the relationship between single-nucleotide polymorphisms associated with restless legs syndrome and periodic limb movements of sleep in a population cohort of elderly individuals. METHODS Single-nucleotide polymorphisms previously associated with periodic limb movements of sleep or restless legs syndrome were analyzed in 2356 white male participants in the Osteoporotic Fractures in Men Sleep Study cohort. The associations between single-nucleotide polymorphisms and polysomnographically measured periodic limb movement index ≥15 were examined with logistic regression adjusted for age, ancestry markers, and periodic limb movements of sleep risk factors. RESULTS Of the men in this cohort, 61% had a periodic limb movement index ≥15. Significant associations were observed between a periodic limb movement index ≥15 and the number of risk alleles for the two BTBD9 single-nucleotide polymorphisms (rs9357271[T], odds ratio [OR] = 1.38, 95% confidence interval [CI] 1.20-1.58; and rs3923809[A], OR = 1.43, 95% CI 1.26-1.63), one of the MEIS1 single-nucleotide polymorphisms (rs2300478[G], OR = 1.31, 95% CI 1.14-1.51) and the mitogen-activated protein kinase kinase 5 (MAP2K5)/Ski family transcriptional corepressor 1 (SKOR1) single-nucleotide polymorphism (rs1026732[G], OR = 1.16, 95% CI 1.02-1.31). In a multivariable model controlling for each of the two MEIS1 single-nucleotide polymorphisms, the rs6710341[A] single-nucleotide polymorphism became a significant risk allele (OR = 1.59, 95% CI 1.26-2.00). CONCLUSIONS Our findings confirm an association between the BTBD9, MEIS1, and MAP2K5/SKOR1 single-nucleotide polymorphisms and periodic limb movements of sleep in an elderly cohort not selected for the presence of restless legs syndrome.
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Affiliation(s)
- John W Winkelman
- Departments of Psychiatry and Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Terri Blackwell
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - Katie Stone
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - Sonia Ancoli-Israel
- Departments of Psychiatry and Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Gregory J Tranah
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - Susan Redline
- Departments of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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31
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Hor H, Francescatto L, Bartesaghi L, Ortega-Cubero S, Kousi M, Lorenzo-Betancor O, Jiménez-Jiménez FJ, Gironell A, Clarimón J, Drechsel O, Agúndez JAG, Kenzelmann Broz D, Chiquet-Ehrismann R, Lleó A, Coria F, García-Martin E, Alonso-Navarro H, Martí MJ, Kulisevsky J, Hor CN, Ossowski S, Chrast R, Katsanis N, Pastor P, Estivill X. Missense mutations in TENM4, a regulator of axon guidance and central myelination, cause essential tremor. Hum Mol Genet 2015; 24:5677-86. [PMID: 26188006 DOI: 10.1093/hmg/ddv281] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Accepted: 07/13/2015] [Indexed: 12/16/2022] Open
Abstract
Essential tremor (ET) is a common movement disorder with an estimated prevalence of 5% of the population aged over 65 years. In spite of intensive efforts, the genetic architecture of ET remains unknown. We used a combination of whole-exome sequencing and targeted resequencing in three ET families. In vitro and in vivo experiments in oligodendrocyte precursor cells and zebrafish were performed to test our findings. Whole-exome sequencing revealed a missense mutation in TENM4 segregating in an autosomal-dominant fashion in an ET family. Subsequent targeted resequencing of TENM4 led to the discovery of two novel missense mutations. Not only did these two mutations segregate with ET in two additional families, but we also observed significant over transmission of pathogenic TENM4 alleles across the three families. Consistent with a dominant mode of inheritance, in vitro analysis in oligodendrocyte precursor cells showed that mutant proteins mislocalize. Finally, expression of human mRNA harboring any of three patient mutations in zebrafish embryos induced defects in axon guidance, confirming a dominant-negative mode of action for these mutations. Our genetic and functional data, which is corroborated by the existence of a Tenm4 knockout mouse displaying an ET phenotype, implicates TENM4 in ET. Together with previous studies of TENM4 in model organisms, our studies intimate that processes regulating myelination in the central nervous system and axon guidance might be significant contributors to the genetic burden of this disorder.
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Affiliation(s)
- Hyun Hor
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Barcelona, Spain, Universitat Pompeu Fabra (UPF), Barcelona, Spain, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain, CRG CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Catalonia 08003, Spain,
| | - Ludmila Francescatto
- Center for Human Disease Modeling, Duke University, Duke University Medical Center, Durham NC 27710, USA
| | - Luca Bartesaghi
- Department of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland, Department of Neuroscience and Department of Clinical Neuroscience, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Sara Ortega-Cubero
- Neurogenetics Laboratory, Division of Neurosciences, Center for Applied Medical Research (CIMA), and Department of Neurology, Clínica Universidad de Navarra, University of Navarra School of Medicine and Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Pamplona, Navarra 31008, Spain
| | - Maria Kousi
- Center for Human Disease Modeling, Duke University, Duke University Medical Center, Durham NC 27710, USA
| | - Oswaldo Lorenzo-Betancor
- Neurogenetics Laboratory, Division of Neurosciences, Center for Applied Medical Research (CIMA), and Department of Neurology, Clínica Universidad de Navarra, University of Navarra School of Medicine and Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Pamplona, Navarra 31008, Spain
| | - Felix J Jiménez-Jiménez
- Section of Neurology, Hospital Universitario del Sureste, Arganda del Rey, Madrid 28030, Spain
| | - Alexandre Gironell
- Movement Disorders Unit, Neurology Department, Hospital de Sant Pau, Barcelona, Spain, Sant Pau Biomedical Research Institute, Barcelona, Spain
| | - Jordi Clarimón
- Sant Pau Biomedical Research Institute, Barcelona, Spain, Universitat Autònoma de Barcelona and CIBERNED, Barcelona, Catalonia 08026, Spain
| | - Oliver Drechsel
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Barcelona, Spain, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | | | - Daniela Kenzelmann Broz
- Faculty of Sciences and Department of Biomedicine, Friedrich Miescher Institute of Biomedical Research, Novartis Research Foundation and University of Basel, Basel 4058, Switzerland
| | - Ruth Chiquet-Ehrismann
- Faculty of Sciences and Department of Biomedicine, Friedrich Miescher Institute of Biomedical Research, Novartis Research Foundation and University of Basel, Basel 4058, Switzerland
| | - Alberto Lleó
- Sant Pau Biomedical Research Institute, Barcelona, Spain
| | - Francisco Coria
- Clinic for Nervous Disorders, Service of Neurology, Son Espases University Hospital, Palma de Mallorca 07120, Spain
| | - Elena García-Martin
- Department of Biochemistry and Molecular Biology, University of Extremadura, Cáceres 10071, Spain
| | | | - Maria J Martí
- Movement Disorders Unit, Neurology Service, Hospital Clinic, CIBERNED and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia 08036, Spain and
| | - Jaume Kulisevsky
- Movement Disorders Unit, Neurology Department, Hospital de Sant Pau, Barcelona, Spain, Universitat Autònoma de Barcelona and CIBERNED, Barcelona, Catalonia 08026, Spain
| | - Charlotte N Hor
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Barcelona, Spain, Universitat Pompeu Fabra (UPF), Barcelona, Spain, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain, CRG CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Catalonia 08003, Spain
| | - Stephan Ossowski
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Barcelona, Spain, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Roman Chrast
- Department of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland, Department of Neuroscience and Department of Clinical Neuroscience, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Nicholas Katsanis
- Center for Human Disease Modeling, Duke University, Duke University Medical Center, Durham NC 27710, USA
| | - Pau Pastor
- Neurogenetics Laboratory, Division of Neurosciences, Center for Applied Medical Research (CIMA), and Department of Neurology, Clínica Universidad de Navarra, University of Navarra School of Medicine and Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Pamplona, Navarra 31008, Spain,
| | - Xavier Estivill
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Barcelona, Spain, Universitat Pompeu Fabra (UPF), Barcelona, Spain, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain, CRG CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Catalonia 08003, Spain, Dexeus Women's Health, University Hospital Quiron-Dexeus, Barcelona, Catalonia 08028, Spain
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32
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Abstract
Restless legs syndrome (RLS) is a common sensorimotor trait defined by symptoms that interfere with sleep onset and maintenance in a clinically meaningful way. Nonvolitional myoclonus while awake and asleep is a sign of the disorder and an informative endophenotype. The genetic contributions to RLS/periodic leg movements are substantial, are among the most robust defined to date for a common disease, and account for much of the variance in disease expressivity. The disorder is polygenic, as revealed by recent genome-wide association studies. Experimental studies are revealing mechanistic details of how these common variants might influence RLS expressivity.
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Affiliation(s)
- David B Rye
- Program in Sleep, Department of Neurology, Emory University School of Medicine, 12 Executive Park Drive Northeast, Atlanta, GA 30329, USA.
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33
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Niceta M, Stellacci E, Gripp K, Zampino G, Kousi M, Anselmi M, Traversa A, Ciolfi A, Stabley D, Bruselles A, Caputo V, Cecchetti S, Prudente S, Fiorenza M, Boitani C, Philip N, Niyazov D, Leoni C, Nakane T, Keppler-Noreuil K, Braddock S, Gillessen-Kaesbach G, Palleschi A, Campeau P, Lee B, Pouponnot C, Stella L, Bocchinfuso G, Katsanis N, Sol-Church K, Tartaglia M. Mutations Impairing GSK3-Mediated MAF Phosphorylation Cause Cataract, Deafness, Intellectual Disability, Seizures, and a Down Syndrome-like Facies. Am J Hum Genet 2015; 96:816-25. [PMID: 25865493 PMCID: PMC4570552 DOI: 10.1016/j.ajhg.2015.03.001] [Citation(s) in RCA: 88] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Accepted: 03/02/2015] [Indexed: 11/26/2022] Open
Abstract
Transcription factors operate in developmental processes to mediate inductive events and cell competence, and perturbation of their function or regulation can dramatically affect morphogenesis, organogenesis, and growth. We report that a narrow spectrum of amino-acid substitutions within the transactivation domain of the v-maf avian musculoaponeurotic fibrosarcoma oncogene homolog (MAF), a leucine zipper-containing transcription factor of the AP1 superfamily, profoundly affect development. Seven different de novo missense mutations involving conserved residues of the four GSK3 phosphorylation motifs were identified in eight unrelated individuals. The distinctive clinical phenotype, for which we propose the eponym Aymé-Gripp syndrome, is not limited to lens and eye defects as previously reported for MAF/Maf loss of function but includes sensorineural deafness, intellectual disability, seizures, brachycephaly, distinctive flat facial appearance, skeletal anomalies, mammary gland hypoplasia, and reduced growth. Disease-causing mutations were demonstrated to impair proper MAF phosphorylation, ubiquitination and proteasomal degradation, perturbed gene expression in primary skin fibroblasts, and induced neurodevelopmental defects in an in vivo model. Our findings nosologically and clinically delineate a previously poorly understood recognizable multisystem disorder, provide evidence for MAF governing a wider range of developmental programs than previously appreciated, and describe a novel instance of protein dosage effect severely perturbing development.
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34
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Kripke DF, Kline LE, Nievergelt CM, Murray SS, Shadan FF, Dawson A, Poceta JS, Cronin J, Jamil SM, Tranah GJ, Loving RT, Grizas AP, Hahn EK. Genetic variants associated with sleep disorders. Sleep Med 2015; 16:217-24. [PMID: 25660813 PMCID: PMC4352103 DOI: 10.1016/j.sleep.2014.11.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 10/30/2014] [Accepted: 11/14/2014] [Indexed: 12/31/2022]
Abstract
OBJECTIVE The diagnostic boundaries of sleep disorders are under considerable debate. The main sleep disorders are partly heritable; therefore, defining heritable pathophysiologic mechanisms could delineate diagnoses and suggest treatment. We collected clinical data and DNA from consenting patients scheduled to undergo clinical polysomnograms, to expand our understanding of the polymorphisms associated with the phenotypes of particular sleep disorders. METHODS Patients at least 21 years of age were recruited to contribute research questionnaires, and to provide access to their medical records, saliva for deoxyribonucleic acid (DNA), and polysomnographic data. From these complex data, 38 partly overlapping phenotypes were derived indicating complaints, subjective and objective sleep timing, and polysomnographic disturbances. A custom chip was used to genotype 768 single-nucleotide polymorphisms (SNPs). Additional assays derived ancestry-informative markers (eg, 751 participants of European ancestry). Linear regressions controlling for age, gender, and ancestry were used to assess the associations of each phenotype with each of the SNPs, highlighting those with Bonferroni-corrected significance. RESULTS In peroxisome proliferator-activated receptor gamma, coactivator 1 beta (PPARGC1B), rs6888451 was associated with several markers of obstructive sleep apnea. In aryl hydrocarbon receptor nuclear translocator-like (ARNTL), rs10766071 was associated with decreased polysomnographic sleep duration. The association of rs3923809 in BTBD9 with periodic limb movements in sleep was confirmed. SNPs in casein kinase 1 delta (CSNK1D rs11552085), cryptochrome 1 (CRY1 rs4964515), and retinoic acid receptor-related orphan receptor A (RORA rs11071547) were less persuasively associated with sleep latency and time of falling asleep. CONCLUSIONS SNPs associated with several sleep phenotypes were suggested, but due to risks of false discovery, independent replications are needed before the importance of these associations can be assessed, followed by investigation of molecular mechanisms.
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Affiliation(s)
- Daniel F Kripke
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
| | | | | | - Sarah S Murray
- Department of Pathology, Center for Advanced Laboratory Medicine, University of California, San Diego, CA, USA
| | - Farhad F Shadan
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Arthur Dawson
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - J Steven Poceta
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - John Cronin
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Shazia M Jamil
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
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35
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Borck G, Hög F, Dentici ML, Tan PL, Sowada N, Medeira A, Gueneau L, Thiele H, Kousi M, Lepri F, Wenzeck L, Blumenthal I, Radicioni A, Schwarzenberg TL, Mandriani B, Fischetto R, Morris-Rosendahl DJ, Altmüller J, Reymond A, Nürnberg P, Merla G, Dallapiccola B, Katsanis N, Cramer P, Kubisch C. BRF1 mutations alter RNA polymerase III-dependent transcription and cause neurodevelopmental anomalies. Genome Res 2015; 25:155-66. [PMID: 25561519 PMCID: PMC4315290 DOI: 10.1101/gr.176925.114] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Accepted: 11/26/2014] [Indexed: 01/11/2023]
Abstract
RNA polymerase III (Pol III) synthesizes tRNAs and other small noncoding RNAs to regulate protein synthesis. Dysregulation of Pol III transcription has been linked to cancer, and germline mutations in genes encoding Pol III subunits or tRNA processing factors cause neurogenetic disorders in humans, such as hypomyelinating leukodystrophies and pontocerebellar hypoplasia. Here we describe an autosomal recessive disorder characterized by cerebellar hypoplasia and intellectual disability, as well as facial dysmorphic features, short stature, microcephaly, and dental anomalies. Whole-exome sequencing revealed biallelic missense alterations of BRF1 in three families. In support of the pathogenic potential of the discovered alleles, suppression or CRISPR-mediated deletion of brf1 in zebrafish embryos recapitulated key neurodevelopmental phenotypes; in vivo complementation showed all four candidate mutations to be pathogenic in an apparent isoform-specific context. BRF1 associates with BDP1 and TBP to form the transcription factor IIIB (TFIIIB), which recruits Pol III to target genes. We show that disease-causing mutations reduce Brf1 occupancy at tRNA target genes in Saccharomyces cerevisiae and impair cell growth. Moreover, BRF1 mutations reduce Pol III-related transcription activity in vitro. Taken together, our data show that BRF1 mutations that reduce protein activity cause neurodevelopmental anomalies, suggesting that BRF1-mediated Pol III transcription is required for normal cerebellar and cognitive development.
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Affiliation(s)
- Guntram Borck
- Institute of Human Genetics, University of Ulm, 89081 Ulm, Germany;
| | - Friederike Hög
- Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, 81377 Munich, Germany
| | | | - Perciliz L Tan
- Center for Human Disease Modeling, Duke University, Durham, North Carolina 27710, USA
| | - Nadine Sowada
- Institute of Human Genetics, University of Ulm, 89081 Ulm, Germany
| | - Ana Medeira
- Serviço de Genética, Departamento de Pediatria, Hospital S. Maria, CHLN, 1649-035 Lisboa, Portugal
| | - Lucie Gueneau
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland
| | - Holger Thiele
- Cologne Center for Genomics (CCG), University of Cologne, 50931 Cologne, Germany
| | - Maria Kousi
- Center for Human Disease Modeling, Duke University, Durham, North Carolina 27710, USA
| | | | - Larissa Wenzeck
- Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, 81377 Munich, Germany
| | - Ian Blumenthal
- Molecular Neurogenetics Unit and Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Antonio Radicioni
- Department of Experimental Medicine, Sapienza University, 00161 Rome, Italy
| | | | - Barbara Mandriani
- IRCCS Casa Sollievo Della Sofferenza, Medical Genetics Unit, 71013 San Giovanni Rotondo, Italy; PhD Program, Molecular Genetics applied to Medical Sciences, University of Brescia, 25121 Brescia, Italy
| | - Rita Fischetto
- U.O. Malattie Metaboliche PO Giovanni XXIII, AOU Policlinico Consorziale, 70120 Bari, Italy
| | | | - Janine Altmüller
- Cologne Center for Genomics (CCG), University of Cologne, 50931 Cologne, Germany; Institute for Human Genetics, University of Cologne, 50931 Cologne, Germany
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland
| | - Peter Nürnberg
- Cologne Center for Genomics (CCG), University of Cologne, 50931 Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, 50674 Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany
| | - Giuseppe Merla
- IRCCS Casa Sollievo Della Sofferenza, Medical Genetics Unit, 71013 San Giovanni Rotondo, Italy
| | | | - Nicholas Katsanis
- Center for Human Disease Modeling, Duke University, Durham, North Carolina 27710, USA
| | - Patrick Cramer
- Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, 37077 Göttingen, Germany
| | - Christian Kubisch
- Institute of Human Genetics, University of Ulm, 89081 Ulm, Germany; Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
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