Literature DB >> 34741685

Mutation spectrum and genotype-phenotype correlations in 157 Korean CADASIL patients: a multicenter study.

Ji-You Min1,2, Seo-Jin Park3, Eun-Joo Kang1, Seung-Yong Hwang1, Sung-Hee Han4.   

Abstract

CADASIL is an inherited disease caused by mutations in the NOTCH3 gene. We aimed to investigate the mutation and clinical spectrum, and genotype-phenotype correlations of Korean CADASIL patients. Samples from 492 clinically suspicious patients were collected from four hospitals. Sanger sequencing was performed to screen exons 2 to 25 of the NOTCH3 gene and variants of unknown significance (VUS) were analyzed using the ACMG guidelines. The medical records and MRI data were received from each hospital, for comprehensive analysis of genotype-phenotype correlations. Previously reported NOTCH3 variants were most commonly detected in exon 11 whereas exon 4 was the most common in European studies. The variants were detected equally between the EGFr domains 1-6 and 7-34, which was different from EGFr 1-6 predominant European studies. The average age-of-onset of patients with EGFr 1-6 variants were 4.81 ± 1.95 years younger than patients with EGFr 7-34 variants. Overall, it took Korean patients 51.2 ± 10 years longer to develop CADASIL in comparison to European patients. The most common mutation was p.R544C, which was associated with a later onset of stroke and a significant time-to-event curve difference. We verified four atypical phenotypes of p.R544C that had been reported in previous studies. Eight novel variants in 15 patients were detected but remained a VUS based on the ACMG criteria. This study reported a different EGFr distribution of Korean patients in comparison to European patients and its correlation with a later age-of-onset. An association between a later onset of stroke/TIA and p.R544C was observed.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  CADASIL; Genotype–phenotype correlation; Korean; NOTCH3; Stroke

Mesh:

Substances:

Year:  2021        PMID: 34741685     DOI: 10.1007/s10048-021-00674-1

Source DB:  PubMed          Journal:  Neurogenetics        ISSN: 1364-6745            Impact factor:   2.660


  41 in total

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Journal:  Nat Methods       Date:  2010-08       Impact factor: 28.547

Review 2.  Notch3 mutations in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), a mendelian condition causing stroke and vascular dementia.

Authors:  A Joutel; C Corpechot; A Ducros; K Vahedi; H Chabriat; P Mouton; S Alamowitch; V Domenga; M Cécillion; E Maréchal; J Maciazek; C Vayssière; C Cruaud; E A Cabanis; M M Ruchoux; J Weissenbach; J F Bach; M G Bousser; E Tournier-Lasserve
Journal:  Ann N Y Acad Sci       Date:  1997-09-26       Impact factor: 5.691

3.  Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm.

Authors:  Prateek Kumar; Steven Henikoff; Pauline C Ng
Journal:  Nat Protoc       Date:  2009-06-25       Impact factor: 13.491

4.  Strong clustering and stereotyped nature of Notch3 mutations in CADASIL patients.

Authors:  A Joutel; K Vahedi; C Corpechot; A Troesch; H Chabriat; C Vayssière; C Cruaud; J Maciazek; J Weissenbach; M G Bousser; J F Bach; E Tournier-Lasserve
Journal:  Lancet       Date:  1997-11-22       Impact factor: 79.321

5.  Genotype-phenotype correlations and effect of mutation location in Japanese CADASIL patients.

Authors:  Mao Mukai; Ikuko Mizuta; Akiko Watanabe-Hosomi; Takashi Koizumi; Jun Matsuura; Ai Hamano; Hidekazu Tomimoto; Toshiki Mizuno
Journal:  J Hum Genet       Date:  2020-04-10       Impact factor: 3.172

6.  A method and server for predicting damaging missense mutations.

Authors:  Ivan A Adzhubei; Steffen Schmidt; Leonid Peshkin; Vasily E Ramensky; Anna Gerasimova; Peer Bork; Alexey S Kondrashov; Shamil R Sunyaev
Journal:  Nat Methods       Date:  2010-04       Impact factor: 28.547

Review 7.  Cadasil.

Authors:  Hugues Chabriat; Anne Joutel; Martin Dichgans; Elizabeth Tournier-Lasserve; Marie-Germaine Bousser
Journal:  Lancet Neurol       Date:  2009-07       Impact factor: 44.182

8.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

Authors:  Sue Richards; Nazneen Aziz; Sherri Bale; David Bick; Soma Das; Julie Gastier-Foster; Wayne W Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl Voelkerding; Heidi L Rehm
Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

9.  Sherloc: a comprehensive refinement of the ACMG-AMP variant classification criteria.

Authors:  Keith Nykamp; Michael Anderson; Martin Powers; John Garcia; Blanca Herrera; Yuan-Yuan Ho; Yuya Kobayashi; Nila Patil; Janita Thusberg; Marjorie Westbrook; Scott Topper
Journal:  Genet Med       Date:  2017-05-11       Impact factor: 8.822

10.  The effect of NOTCH3 pathogenic variant position on CADASIL disease severity: NOTCH3 EGFr 1-6 pathogenic variant are associated with a more severe phenotype and lower survival compared with EGFr 7-34 pathogenic variant.

Authors:  Julie W Rutten; Bastian J Van Eijsden; Marco Duering; Eric Jouvent; Christian Opherk; Leonardo Pantoni; Antonio Federico; Martin Dichgans; Hugh S Markus; Hugues Chabriat; Saskia A J Lesnik Oberstein
Journal:  Genet Med       Date:  2018-07-22       Impact factor: 8.822

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  4 in total

1.  Association of NOTCH3 Variant Position With Stroke Onset and Other Clinical Features Among Patients With CADASIL.

Authors:  Bernard P H Cho; Amy A Jolly; Stefania Nannoni; Daniel Tozer; Steven Bell; Hugh S Markus
Journal:  Neurology       Date:  2022-05-31       Impact factor: 11.800

2.  Effect of NOTCH3 EGFr Group, Sex, and Cardiovascular Risk Factors on CADASIL Clinical and Neuroimaging Outcomes.

Authors:  Remco J Hack; Minne N Cerfontaine; Gido Gravesteijn; Stephan Tap; Anne Hafkemeijer; Jeroen van der Grond; Marie-Noëlle Witjes-Ané; Frank Baas; Julie W Rutten; Saskia A J Lesnik Oberstein
Journal:  Stroke       Date:  2022-07-13       Impact factor: 10.170

Review 3.  Genotype and Phenotype Differences in CADASIL from an Asian Perspective.

Authors:  Yerim Kim; Jong Seok Bae; Ju-Young Lee; Hong Ki Song; Ju-Hun Lee; Minwoo Lee; Chulho Kim; Sang-Hwa Lee
Journal:  Int J Mol Sci       Date:  2022-09-29       Impact factor: 6.208

4.  Genetic spectrum of NOTCH3 and clinical phenotype of CADASIL patients in different populations.

Authors:  Wang Ni; Yi Zhang; Liang Zhang; Juan-Juan Xie; Hong-Fu Li; Zhi-Ying Wu
Journal:  CNS Neurosci Ther       Date:  2022-07-13       Impact factor: 7.035

  4 in total

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