The impact of a secondary, rare, non-pathogenic PKD1 variant on disease progression in autosomal dominant polycystic kidney disease
Bibliographic record
Abstract
BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is caused primarily by pathogenic variants in the PKD1 and PKD2 genes. Although the type of ADPKD variant can influence disease severity, rare, hypomorphic PKD1 variants have also been reported to modify disease severity or cause biallelic ADPKD. This study examines whether rare, additional, potentially protein-altering, non-pathogenic PKD1 variants contribute to ADPKD phenotypic outcomes. METHODS: We investigated the prevalence of rare, additional, potentially protein-altering PKD1 variants in patients with PKD1-associated ADPKD. The association between rare, additional, potentially protein-altering variants and phenotypic outcomes, including progression to kidney failure, age at onset of hypertension and urological events, height-adjusted total kidney volume, and predicting renal outcomes in PKD (PROPKD) score, were examined. RESULTS: Rare, additional, potentially protein-altering variants were detected in 6% of the 932 ADPKD patients in the study. The presence of rare, additional, potentially protein-altering variants was associated with 4 years earlier progression to kidney failure (hazard ratio (HR): 1.66; 95% confidence interval (CI): 1.18-2.34; P = 0.003), with in-trans rare, additional, potentially protein-altering variants (n = 13/894) showing a greater risk of kidney failure (HR: 1.83; 95% CI 1.00-3.33; P = 0.049). We did not detect statistically significant differences between rare, additional, potentially protein-altering variants and other phenotypic outcomes compared to those without rare, additional, potentially protein-altering variants. CONCLUSIONS: In patients with PKD1-associated ADPKD, our findings suggest that rare, additional, potentially protein-altering variants in PKD1 may influence disease severity. These findings have potential clinical implications in counselling and treating patients with rare, additional, potentially protein-altering variants, but further investigation of such variants in larger, longitudinal cohorts with detailed, standardised phenotype data is required.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".