JOURNAL ARTICLE

Curation of OCA2 Variants of Uncertain Significance From Chinese Oculocutaneous Albinism Patients Based on Multiplex Assays.

  • Published In: Pigment Cell & Melanoma Research, 2025, v. 38, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yang, Qingsong; Wang, Yizhen; Wang, Zengge; Lv, Shushu; Hao, Zhenhua; Wei, Aihua; Li, Wei 3 of 3

Abstract

Oculocutaneous albinism type 2 (OCA‐2, OMIM: 203200) is associated with variants in the OCA2 gene. In this study, we aimed to re‐classify variants of uncertain significance (VUS) in OCA2 by evaluating subcellular localization and channel activity through multiplex assays of variant effect (MAVEs). Following the ClinGen guidelines for PS3 evidence, we selected 13 OCA2 variants from ClinVar (6 benign/likely benign [B/LB] and 7 pathogenic/likely pathogenic [P/LP]) for OddsPath analysis. The P/LP variants exhibited abnormal functions, while the B/LB variants demonstrated normal functions, supporting the application of "PS3_moderate" evidence for VUS re‐classification. In our functional evaluation of 30 VUS identified in 38 individuals with suspected OCA‐2 by trio whole‐exome sequencing, we observed 6 VUS with abnormal localization and 11 with abnormal channel activity. Based on PS3_moderate evidence, 8 VUS were re‐classified as LP, while 22 remained VUS. Consequently, 7 out of 38 previously undiagnosed patients received a molecular diagnosis of OCA‐2. These MAVEs offer a robust approach for curating OCA2 VUS, enhancing diagnostic accuracy, and informing genetic counseling. Additionally, this variant cohort is a valuable resource for public databases. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Pigment Cell & Melanoma Research. 2025/01, Vol. 38, Issue 1, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:1755-1471
  • DOI:10.1111/pcmr.13212
  • Accession Number:183913102
  • Copyright Statement:Copyright of Pigment Cell & Melanoma Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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