Analysis of GEN1 as a Breast Cancer Susceptibility Gene in Polish Women
Bibliographic record
Abstract
GEN1 is implicated in DNA damage repair, as are several other breast cancer susceptibility genes, and is included in several comprehensive next-generation sequencing (NGS) testing panels. To investigate the possible association of GEN1 variants with breast cancer risk, we sequenced this gene in 617 Polish women with hereditary breast cancer (HBC) and 300 Polish cancer-free controls. No protein-truncating variants were detected in the conserved part of GEN1 (first 480 codons). Two frameshift variants were detected in the last exon of GEN1: c.2515_2519delAAGTT (p.Lys839Glufs*2) and c.1929_1932delAAAG (p.Lys645Cysfs*29). The p.Lys839Glufs*2 variant was detected in 21.1% of 617 HBC cases and 18.4% of 300 controls (p = 0.38). The p.Lys645Cysfs*29 variant was rare, seen in 0.6% of 617 HBC cases and 0.3% of 300 controls. The variant was then detected in 38 (0.24%) of 15,930 unselected breast cancer cases and 8 (0.17%) of 4702 cancer-free female controls from Poland (OR = 1.40, p = 0.49). Clinical characteristics of breast tumors in the 38 carriers of p.Lys645Cysfs*29 and 15,892 non-carriers were similar. Survival was similar among variant carriers and non-carriers (the age-adjusted HR = 0.87, p = 0.76). The wild-type GEN1 allele was retained in all five breast cancers of carriers of p.Lys645Cysfs*29. No cancer type was more frequent in the relatives of 35 p.Lys645Cysfs*29 variant carriers compared to the relatives of 14,592 non-carriers. We conclude that GEN1 is unlikely to be a high or moderate-risk breast cancer susceptibility gene. Our study has clinical implications for genetic counseling and suggests that GEN1 changes should be reclassified as variants of uncertain significance (VUS) when they are detected in clinical testing panels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".