Detection of Novel BEST1 Variations in Autosomal Recessive Bestrophinopathy Using Third-generation Sequencing

Jia-xun Li, Ling-rui Meng, Bao-ke Hou, Xiao-lu Hao, Da-jiang Wang, Ling-hui Qu, Zhao-hui Li, Lei Zhang, Xin Jin

Current Medical Science ›› 2024, Vol. 44 ›› Issue (2) : 419-425.

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Current Medical Science ›› 2024, Vol. 44 ›› Issue (2) : 419-425. DOI: 10.1007/s11596-024-2865-3
Original Article

Detection of Novel BEST1 Variations in Autosomal Recessive Bestrophinopathy Using Third-generation Sequencing

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Abstract

Objective

Autosomal recessive bestrophinopathy (ARB), a retinal degenerative disease, is characterized by central visual loss, yellowish multifocal diffuse subretinal deposits, and a dramatic decrease in the light peak on electrooculogram. The potential pathogenic mechanism involves mutations in the BEST1 gene, which encodes Ca2+-activated Cl channels in the retinal pigment epithelium (RPE), resulting in degeneration of RPE and photoreceptor. In this study, the complete clinical characteristics of two Chinese ARB families were summarized.

Methods

Pacific Biosciences (PacBio) single-molecule real-time (SMRT) sequencing was performed on the probands to screen for disease-causing gene mutations, and Sanger sequencing was applied to validate variants in the patients and their family members.

Results

Two novel mutations, c.202T>C (chr11:61722628, p.Y68H) and c.867+97G>A, in the BEST1 gene were identified in the two Chinese ARB families. The novel missense mutation BEST1 c.202T>C (p.Y68H) resulted in the substitution of tyrosine with histidine in the N-terminal region of transmembrane domain 2 of bestrophin-1. Another novel variant, BEST1 c.867+97G>A (chr11:61725867), located in intron 7, might be considered a regulatory variant that changes allele-specific binding affinity based on motifs of important transcriptional regulators.

Conclusion

Our findings represent the first use of third-generation sequencing (TGS) to identify novel BEST1 mutations in patients with ARB, indicating that TGS can be a more accurate and efficient tool for identifying mutations in specific genes. The novel variants identified further broaden the mutation spectrum of BEST1 in the Chinese population.

Keywords

autosomal recessive bestrophinopathy / BEST1 gene / third-generation sequencing / mutation

Cite this article

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Jia-xun Li, Ling-rui Meng, Bao-ke Hou, Xiao-lu Hao, Da-jiang Wang, Ling-hui Qu, Zhao-hui Li, Lei Zhang, Xin Jin. Detection of Novel BEST1 Variations in Autosomal Recessive Bestrophinopathy Using Third-generation Sequencing. Current Medical Science, 2024, 44(2): 419‒425 https://doi.org/10.1007/s11596-024-2865-3
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