Skip to content
DraconiticResearch
Search Sources API
190,332 studies31 sourcesUpdated 55 min ago
PreprintCC BY-NC-NDbioRxiv

Functional modelling of human infertility-associated genetic variants using C. elegans and mice

  1. 1Imperial College

Abstract

Infertility affects one in six couples worldwide and has a significant genetic component. Genome sequencing efforts have identified increasing numbers of potentially pathogenic variants, including in conserved meiotic genes. However, the lack of functional validation remains a major barrier to establishing variant pathogenicity and clinical diagnoses. Here, we establish an experimental pipeline integrating C. elegans and mouse in vivo models with in silico protein structure predictions to functionally validate potentially pathogenic infertility-associated variants. Using CRISPR-Cas9 we generated worm and mouse models of a homozygous missense variant (P638L) in MSH4, a mismatch repair protein essential for meiotic recombination, identified in a patient with non-obstructive azoospermia (NOA). Homozygous msh-4P546L worms exhibited severe meiotic defects including an absence of chiasmata, accumulation of DNA damage, and loss of crossover markers. Comparable defects were observed in spermatocytes of homozygous Msh4P660L/P660L mice, while Msh4P660L/P660L ovaries lacked oocyte-containing follicles, demonstrating that this variant causes infertility in both sexes. Together, these findings support a model in which the MSH4 P638L substitution disrupts the conversion of early recombination events into crossovers, leading to NOA in men and primary ovarian insufficiency in women. Further worm modelling of human MSH4 genetic variants identified exclusively in heterozygosity (G649R) or also in homozygosity (Y589C) demonstrates the potential of worm models to predict the pathogenicity of missense variants in meiotic proteins found in the human population. We propose that this integrated worm-mouse pipeline provides a powerful framework for accelerating the genetic diagnosis of infertility and informing the clinical management of affected individuals.

Related

  1. A Genome-Wide Association Study Identifies Novel Genetic Variants Associated with Knee Pain in the UK Biobank (n = 439,743)
    Yiwen Tao, Qi Pan, Tengda Cai +4
    PhenomicsPeer-reviewedLicence not statedFull textGenetics & genomicsPMC
  2. Lung Function–Associated Genetic Variants and Overall Survival in Non–Small Cell Lung Cancer: A Multi-Platform Analysis
    Zhanxia Li, Zhilin Zhang, Yu Chen Zhao +3
    Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive OncologyPeer-reviewedLicence not statedFull textGenetics & genomicsPMC
  3. Improved two-stage GWAS identifies rare genetic variants associated with dermo susceptibility in the eastern oyster
    P. Coyne, H. Sun, Z. Wang +6
    bioRxivPreprintCC BY-NCFull textGenetics & genomicsbioRxiv
  4. VarNexus: an integrative database for interpreting disease-associated regulatory variants through multimodal predictions and functional evidence
    Lihai Gong, Cheng Tan, Jinhui Zhang +7
    Nucleic Acids ResearchPeer-reviewedCC BY 4.0Full textGenetics & genomicsCrossref
  5. Whole genome sequencing identifies genetic variants associated with senescence-accelerated phenotype of OXYS rats.
    V M Petrova, M S Protasova, A D Manakhov +3
    Vavilovskii zhurnal genetiki i selektsiiPeer-reviewedCC BYFull textCell biologyEurope PMC
BibTeX
@misc{tokhy2026functional,
  title = {{Functional modelling of human infertility-associated genetic variants using C. elegans and mice}},
  author = {O. El Tokhy and E. Mitchell and C. Barroso and J. Lawson and O. R. Davies and C. N. Jayasena and J. A. Veltman and I. R. Adams and E. Martinez-Perez},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.30.755673},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.30.755673v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Functional modelling of human infertility-associated genetic variants using C. elegans and mice
AU  - O. El Tokhy
AU  - E. Mitchell
AU  - C. Barroso
AU  - J. Lawson
AU  - O. R. Davies
AU  - C. N. Jayasena
AU  - J. A. Veltman
AU  - I. R. Adams
AU  - E. Martinez-Perez
PY  - 2026
DA  - 2026/09/30
PB  - bioRxiv
DO  - 10.64898/2026.09.30.755673
UR  - https://www.biorxiv.org/content/10.64898/2026.09.30.755673v1
AB  - Infertility affects one in six couples worldwide and has a significant genetic component. Genome sequencing efforts have identified increasing numbers of potentially pathogenic variants, including in conserved meiotic genes. However, the lack of functional validation remains a major barrier to establishing variant pathogenicity and clinical diagnoses. Here, we establish an experimental pipeline integrating C. elegans and mouse in vivo models with in silico protein structure predictions to functionally validate potentially pathogenic infertility-associated variants. Using CRISPR-Cas9 we generated worm and mouse models of a homozygous missense variant (P638L) in MSH4, a mismatch repair protein essential for meiotic recombination, identified in a patient with non-obstructive azoospermia (NOA). Homozygous msh-4P546L worms exhibited severe meiotic defects including an absence of chiasmata, accumulation of DNA damage, and loss of crossover markers. Comparable defects were observed in spermatocytes of homozygous Msh4P660L/P660L mice, while Msh4P660L/P660L ovaries lacked oocyte-containing follicles, demonstrating that this variant causes infertility in both sexes. Together, these findings support a model in which the MSH4 P638L substitution disrupts the conversion of early recombination events into crossovers, leading to NOA in men and primary ovarian insufficiency in women. Further worm modelling of human MSH4 genetic variants identified exclusively in heterozygosity (G649R) or also in homozygosity (Y589C) demonstrates the potential of worm models to predict the pathogenicity of missense variants in meiotic proteins found in the human population. We propose that this integrated worm-mouse pipeline provides a powerful framework for accelerating the genetic diagnosis of infertility and informing the clinical management of affected individuals.
ER  -