ArticleBMC genetics2016
Phenotypic Heterogeneity in a DFNA20/26 family segregating a novel ACTG1 mutation.
Article in BMC genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- A Novel Mutation in ACTG1 as the Probable Cause of Nonsyndromic Hearing Loss in Chinese Han Population.Neural plasticity · 2026Article
- Structural and functional mechanisms of actin isoforms.The FEBS journal · 2025Review
- Article
- Hearing Loss in Baraitser-Winter Syndrome: Case Reports and Review of the Literature.Journal of clinical medicine · 2024Review
- Autosomal Dominant Non-Syndromic Hearing Loss (DFNA): A Comprehensive Narrative Review.Biomedicines · 2023Review
- Human deafness-associated variants alter the dynamics of key molecules in hair cell stereocilia F-actin cores.Human genetics · 2022Review
- De NovoInternational journal of molecular sciences · 2022Article
- DFNA20/26 and Other ACTG1-Associated Phenotypes: A Case Report and Review of the Literature.Audiology research · 2021Article
- Article
- Comprehensive genetic testing of Chinese SNHL patients and variants interpretation using ACMG guidelines and ethnically matched normal controls.European journal of human genetics : EJHG · 2020Article
- Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients.BMC medical genomics · 2018Article
- Amino acid 118 in the Deafness Causing (DFNA20/26)Gene reports · 2018Article
- A novel missense mutation in the ACTG1 gene in a family with congenital autosomal dominant deafness: A case report.Molecular medicine reports · 2018Article
- Review
- A novel pore-region mutation, c.887G > A (p.G296D) in KCNQ4, causing hearing loss in a Chinese family with autosomal dominant non-syndromic deafness 2.BMC medical genetics · 2017Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundGenetic factors play an important role in hearing loss, contributing to approximately 60% of cases of congenital hearing loss. Autosomal dominant deafness accounts for approximately 20% of cases of hereditary hearing loss. Diseases with autosomal dominant inheritance often show pleiotropy, different degrees of penetrance, and variable expressivity.
methodsA three-generation Chinese family with autosomal dominant nonsyndromic hearing impairment (ADNSHI) was enrolled in this study. Audiometric data and blood samples were collected from the family. In total, 129 known human deafness genes were sequenced using next-generation sequencing (NGS) to identify the responsible gene mutation in the family. Whole Exome Sequencing (WES) was performed to exclude any other variant that cosegregated with the phenotype.
resultsThe age of onset of the affected family members was the second decade of life. The condition began with high-frequency hearing impairment in all family members excluding III:2. The novel ACTG1 c.638A > G (p.K213R) mutation was found in all affected family members and was not found in the unaffected family members. A heterozygous c.638A > G mutation in ACTG1 and homozygous c.109G > A (p.V37I) mutation in GJB2 were found in III:2, who was born with hearing loss. The WES result concurred with that of targeted sequencing of known deafness genes.
conclusionsThe novel mutation p.K213R in ACTG1 was found to be co-segregated with hearing loss and the genetic cause of ADNSHI in this family. A homozygous mutation associated with recessive inheritance only rarely co-acts with a dominant mutation to result in hearing loss in a dominant family. In such cases, the mutations in the two genes, as in ACTG1 and GJB2 in the present study, may result in a more severe phenotype. Targeted sequencing of known deafness genes is one of the best choices to identify the genetic cause in hereditary hearing loss families.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.