ABCA4 Gene Screening in a Chinese Cohort With Stargardt Disease: Identification of 37 Novel Variants

Hu, Fang-Yuan and Li, Jian-kang and Gao, Feng-Juan and Qi, Yu-He and Xu, Ping and Zhang, Yong-Jin and Wang, Dan-Dan and Wang, Lu-Sheng and Li, Wei and Wang, Min and Chen, Fang and Shen, Si-Mai and Xu, Ge-Zhi and Zhang, Sheng-Hai and Chang, Qing and Wu, Ji-Hong (2019) ABCA4 Gene Screening in a Chinese Cohort With Stargardt Disease: Identification of 37 Novel Variants. Frontiers in Genetics, 10. ISSN 1664-8021

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Abstract

Purpose: To clarify the mutation spectrum and frequency of ABCA4 in a Chinese cohort with Stargardt disease (STGD1).

Methods: A total of 153 subjects, comprising 25 families (25 probands and their family members) and 71 sporadic cases, were recruited for the analysis of ABCA4 variants. All probands with STGD1 underwent a comprehensive ophthalmologic examination. Overall, 792 genes involved in common inherited eye diseases were screened for variants by panel-based next-generation sequencing (NGS). Variants were filtered and analyzed to evaluate possible pathogenicity.

Results: The total variant detection rate of at least one ABCA4 mutant allele was 84.3% (129/153): two or three disease-associated variants in 86 subjects (56.2%), one mutant allele in 43 subjects (28.1%), and no variants in 24 subjects (15.7%). Ninety-six variants were identified in the total cohort, which included 62 missense (64%), 15 splicing (16%), 11 frameshift (12%), 6 nonsense (6%), and 2 small insertion or deletion (2%) variants. Thirty-seven novel variants were found, including a de novo variant, c.4561delA. The most prevalent variant was c.101_106delCTTTAT (10.5%), followed by c.2894A > G (6.5%) and c.6563T > C (4.6%), in STGD1 patients from eastern China.

Conclusion: Thirty-seven novel variants were detected using panel-based NGS, including one de novo variant, further extending the mutation spectrum of ABCA4. The common variants in a population from eastern China with STGD1 were also identified.

Item Type: Article
Subjects: STM Digital Library > Medical Science
Depositing User: Unnamed user with email support@stmdigitallib.com
Date Deposited: 14 Feb 2023 09:29
Last Modified: 17 Jun 2024 06:31
URI: http://archive.scholarstm.com/id/eprint/371

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