Related Experiment Video
Updated: Sep 17, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Pathogenicity assessment of genetic variants in reproductive disorders
Zilala Silajiding1, Lingjun Shen1, Maoning Wang1
1West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Purpose:
This review aims to summarize the available methods and current challenges in assessing the pathogenicity of genetic variants associated with reproductive disorders, with a particular focus on variants affecting oocyte maturation and early embryonic development. It also discusses how functional studied, computational approaches, and clinical evidence can be integrated with the ACMG/AMP framework to support more accurate variant interpretation and clinical decision-making.
Methods:
In this review, we included the ACMG/AMP guidelines, studies on genes related to oocyte maturation and early embryonic development, and research on ACMG/AMP-based pathogenicity assessment tools. We searched PubMed, Embase, and Web of Science for literature published up from January 2000 to June 2026. We excluded pre-2000 publications (except foundational articles) and non-English papers. Results were reported descriptively.
Results:
The application of the ACMG/AMP general framework to variants associated with oocyte maturation defects and early embryonic arrest faces challenges. In infertility-related variant interpretation, there are clinical practice barriers, difficulties in obtaining functional evidence, limitations of general population databases, and high false-positive rates of in silico prediction tools that collectively result in pathogenic variants being classified as variants of uncertain significance (VUS). Corresponding adaptation strategies include prioritizing reproduction-specific databases (IMIGC, FeRGI), introducing gene-/domain-specific weighting, employing automated ACMG-based classification tools (Franklin, VarSome, InterVar) with manual review, and adopting organoid technology for high-level functional evidence.
Conclusion:
Accurate interpretation of genetic variants associated with reproductive disorder requires integrating clinical evidence, functional study together with ACMG/AMP general framework. Gene-specific standards, supported by reproductive databases and calibrated evidence rules, may improve molecular diagnosis and personalized assisted reproductive technology (ART) strategy. A ClinGen Variant Curation Expert Panel (VCEP) focusing on oocyte and embryonic developmental deficiencies may also be required.
Related Concept Videos
Genetic Screens
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Mutagenicity and Carcinogenicity
Mutations
Pharmacogenomics: Identification of New Drug Targets
Pedigree Analysis

