Reclassification of an FBN1 variant emphasizes the importance of segregation analysis, information sharing, and multidisciplinary teamwork in understanding genetic variants in health and disease

Author:

Lildballe Dorte L.12ORCID,Markholt Sara3,Lyngholm Christina Daugaard3,Hao Qin4,Fagerberg Christina4,Nielsen Dorte Guldbrand5,Svensmark Julius Hannibal6,Diness Birgitte Rode67,Gregersen Pernille A.238ORCID

Affiliation:

1. Department of Molecular Medicine Aarhus University Hospital Aarhus Denmark

2. Department of Clinical Medicine Aarhus University Aarhus Denmark

3. Department of Clinical Genetics Aarhus University Hospital Aarhus Denmark

4. Department of Clinical Genetics Odense University Hospital Odense Denmark

5. Department of Cardiology Aarhus University Hospital Aarhus Denmark

6. Department of Clinical Genetics Copenhagen University Hospital Rigshospitalet Copenhagen Denmark

7. Department of Clinical Medicine Copenhagen University Copenhagen Denmark

8. Centre for Rare Diseases, Department of Pediatrics and Adolescent Medicine Aarhus University Hospital Aarhus Denmark

Abstract

AbstractMarfan syndrome (MFS) is a complex connective tissue disorder characterized by considerable clinical variability. The diagnosis of MFS is based on the Ghent criteria, which require the presence of both clinical and genetic features. MFS is primarily caused by pathogenic alterations in FBN1, which encodes the fibrillin‐1 protein. Fibrillin‐1 comprises multiple domains rich in cysteine residues, with disulfide bonds formed between these residues. It has long been recognized that variants that alter or introduce cysteine residues damage protein function, leading to the development of MFS. In this study, we report a cysteine‐introducing variant: FBN1 variant, c.6724C>T (p.[Arg2242Cys]). We have observed this variant in several individuals without MFS, challenging our previous understanding of the underlying mechanism of MFS. This finding emphasizes the importance of revisiting and reevaluating our current knowledge in light of new and unexpected observations. Moreover, our study highlights the significance of incorporating local and national data on allele frequencies, as well as employing multidisciplinary phenotyping approaches, in the classification of genetic variants. By considering a wide range of information, we can enhance the accuracy and reliability of variant classification, ultimately improving the diagnosis and management of individuals with genetic disorders like MFS.

Publisher

Wiley

Reference19 articles.

1. Quality of life in patients with Marfan syndrome: a cross-sectional study of 102 adult patients

2. Clinical relevance of genotype–phenotype correlations beyond vascular events in a cohort study of 1500 Marfan syndrome patients with FBN1 pathogenic variants

3. Variability in gene-based knowledge impacts variant classification: an analysis of FBN1 missense variants in ClinVar

4. ClinGen. (2022).ClinGen FBN1 expert panel specifications to the ACMG/AMP variant interpretation guidelines version 1.https://clinicalgenome.org/docs/clingen-fbn1-expert-panel-specifications-to-the-acmg-amp-variant-interpretation-guidelines-version-1/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3