Genetic Variation in APOL1 Associates with Younger Age at Hemodialysis Initiation
Bibliographic record
Abstract
African Americans have a markedly higher incidence of ESRD compared with other racial groups. Two variants in the APOL1 gene, to date observed only among individuals of recent African ancestry, associate with increased risk for renal disease among African Americans. Here, we investigated whether these risk alleles also associate with age at initiation of chronic hemodialysis. We performed a cross-sectional study of 407 nondiabetic African Americans with ESRD who participated in the Accelerated Mortality on Renal Replacement (ArMORR) study, a prospective cohort of incident chronic hemodialysis patients. African Americans carrying two copies of the G1 risk allele initiated chronic hemodialysis at a mean age of 49.0 ± 14.9 years, which was significantly younger than both subjects with one copy of the G1 allele (55.9 ± 16.7 years; P = 0.014) and subjects without either risk allele (61.8 ± 17.1 years; P = 6.2 × 10(-7)). The association between the presence of the G1 allele and age at initiation of hemodialysis remained statistically significant after adjusting for sociodemographic and other potential confounders. We did not detect an association between the G2 risk allele and age at initiation of hemodialysis, but the sample size was limited. In conclusion, genetic variations in APOL1 identify African Americans that initiate chronic hemodialysis at a younger age. Early interventions to prevent progression of kidney disease may benefit this high-risk population.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".