Specification of Variant Interpretation Guidelines for Inherited Retinal Dystrophy in Japan
DOI:
https://doi.org/10.51094/jxiv.538Keywords:
inherited retinal dystrophy, ACMG/AMP guidelines, genetic diagnosis, variant interpretation, JapaneseAbstract
The accurate interpretation of sequence variants in inherited retinal dystrophy (IRD) is vital due to the significant genetic heterogeneity observed in this disorder. To achieve consistent and accurate diagnoses, it is essential to establish standardized guidelines for variant interpretation. The American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines for variant interpretation serve as the global “cross-disease” standard for classifying variants in Mendelian hereditary disorders. These guidelines propose a systematic approach for categorizing variants into five classes based on various types of evidence, such as population data, computational data, functional data, and segregation data. However, for clinical genetic diagnosis and to ensure standardized diagnosis and treatment criteria, additional specifications based on features associated with each disorder are necessary. In this context, we present a comprehensive framework outlining the newly specified ACMG/AMP rules tailored explicitly for IRD in the Japanese population. These guidelines consider disease frequencies, allele frequencies, and both phenotypic and genotypic characteristics unique to IRD in the Japanese population. Adjustments and modifications have been incorporated to reflect the specific requirements of the population. By incorporating these IRD-specific factors and refining the existing ACMG/AMP guidelines, we aim to enhance the accuracy and consistency of variant interpretation in IRD cases, particularly in the Japanese population. These guidelines serve as a valuable resource for ophthalmologists and clinical geneticists involved in the diagnosis and treatment of IRD, providing them with a standardized framework to assess and classify genetic variants.
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Submitted: 2023-10-23 07:22:48 UTC
Published: 2023-10-26 10:21:17 UTC
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Copyright (c) 2023
Kaoru Fujinami
Koji M. Nishiguchi
Akio Oishi
Masato Akiyama
Yasuhiro Ikeda
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
