In silico prediction and functional analysis of non-synonymous single-nucleotide polymorphisms (nsSNPs) in human ACTL7A gene associated with spermatogenesis

Actin-like 7A (ACTL7A) is considered to play an important role in acrosome formation, fertilization, and early embryo development. Several single-nucleotide polymorphisms (SNPs) in ACTL7A have been reported to be associated with male infertility. However, the functional consequences of the most non-synonymous SNPs (nsSNPs) in ACTL7A remain largely unclear. Here, a total of 489 nsSNPs in the ACTL7A gene were retrieved from the Database of Single-Nucleotide Polymorphism (dbSNP) and systematically analyzed using a series of computational tools. Among these, 44 nsSNPs were predicted to be potentially deleterious. Further in vitro validation identified eight nsSNPs associated with significantly decreased ACTL7A protein levels, which were therefore considered candidate functional variants, including rs534593253, rs775405375, rs768576884, rs1308056655, rs779034458, rs779515458, rs1827186853, and rs1827186891. In addition, one deletion variant and three nonsense variants were identified. Structural modeling further suggested that these nsSNP-derived variants may induce conformational alterations in the ACTL7A protein. Overall, this study provides a framework for prioritizing functionally relevant ACTL7A nsSNPs for future investigation.

Authors

Institutions

Publication Details

Journal
Asian Journal of Andrology
Published
2026-10-13
DOI
https://doi.org/10.4103/aja202628
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In silico prediction and functional analysis of non-synonymous single-nucleotide polymorphisms (nsSNPs) in human ACTL7A gene associated with spermatogenesis

Yi-Si Sun, Junyan Chen, Aijie Xin, Yini Zhang et al.
Asian Journal of Andrology
Genomics and Rare Diseases
article

In silico prediction and functional analysis of non-synonymous single-nucleotide polymorphisms (nsSNPs) in human ACTL7A gene associated with spermatogenesis

Yi-Si Sun, Junyan Chen, Aijie Xin, Yini Zhang, Guo-Wu Chen, Miao Liu, Hui-Juan Shi, Xin-Yue Yang
article en

Abstract

Actin-like 7A (ACTL7A) is considered to play an important role in acrosome formation, fertilization, and early embryo development. Several single-nucleotide polymorphisms (SNPs) in ACTL7A have been reported to be associated with male infertility. However, the functional consequences of the most non-synonymous SNPs (nsSNPs) in ACTL7A remain largely unclear. Here, a total of 489 nsSNPs in the ACTL7A gene were retrieved from the Database of Single-Nucleotide Polymorphism (dbSNP) and systematically analyzed using a series of computational tools. Among these, 44 nsSNPs were predicted to be potentially deleterious. Further in vitro validation identified eight nsSNPs associated with significantly decreased ACTL7A protein levels, which were therefore considered candidate functional variants, including rs534593253, rs775405375, rs768576884, rs1308056655, rs779034458, rs779515458, rs1827186853, and rs1827186891. In addition, one deletion variant and three nonsense variants were identified. Structural modeling further suggested that these nsSNP-derived variants may induce conformational alterations in the ACTL7A protein. Overall, this study provides a framework for prioritizing functionally relevant ACTL7A nsSNPs for future investigation.

Asian Journal of Andrology
Shanghai Medical College of Fudan University (CN), University of Shanghai for Science and Technology (CN), Fudan University (CN), Youjiang Medical College for Nationalities (CN), Zhongshan Hospital (CN), Obstetrics and Gynecology Hospital of Fudan University (CN)
Openalex Percentile: Top 15%
Genomics and Rare Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.