Statistical Analysis of Gene Variants for Homologous Recombination Pathways of DNA Repair leading to Cancer Susceptibility
Bibliographic record
Abstract
Background: RAD51C, a critical member of the RAD51 paralog family, is essential for homologous recombination (HR)-mediated DNA repair, a pathway crucial for maintaining genomic stability. Mutations in RAD51C have been linked to cancer susceptibility, particularly in breast and ovarian cancers, where impaired DNA repair mechanisms contribute to genomic instability and tumor progression. Despite its clinical significance, the functional impact of specific RAD51C variants remains poorly understood, necessitating a comprehensive investigation into their biological implications. Methods: This study classified RAD51C gene variants into damaging and tolerant categories using computational prediction tools, including SIFT, PolyPhen, CADD, MetaLR, and Mutation Assessor. Variants were prioritized based on consensus scores and classified as high-confidence damaging variants. Correlation and agreement among tools were analyzed to refine predictions. Principal Component Analysis (PCA) and clustering methods were employed to group variants based on prediction patterns. Protein-protein interaction (PPI) networks and pathway enrichment analyses were conducted to contextualize damaging variants within broader biological systems, with a focus on their roles in HR, DNA repair, and cellular processes. Results: A total of 2526 variants were analyzed, with damaging variants showing consistent patterns across tools. Consensus scores highlighted 302 high-confidence damaging variants, which were associated with disrupted biological processes, including double-strand break repair via homologous recombination, telomere maintenance, and regulation of cell cycle checkpoints. PPI analysis revealed an interconnected network with 11 nodes and 54 edges, with a clustering coefficient of 0.982, indicating tightly coordinated interactions among DNA repair proteins. Pathway enrichment analyses identified significant associations with homologous recombination (FDR = 2.55E-17) and the Fanconi anemia pathway (FDR = 2.96E-06). Conclusion: This study provides a comprehensive framework for assessing the functional impacts of RAD51C variants by integrating computational predictions with biological analyses. The findings underscore the importance of RAD51C in HR and DNA repair pathways, offering insights into its role in genomic stability and cancer progression. These results can inform the prioritization of variants for experimental validation and guide therapeutic strategies targeting DNA repair deficiencies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".