Genetic determinants of impaired awareness of hypoglycemia in type 1 diabetes
Bibliographic record
Abstract
OBJECTIVE: It is likely that impaired awareness of hypoglycemia (IAH) and severe hypoglycemia are in part determined by genetic factors. The aim of this study was to investigate candidate genes for associations with IAH and severe hypoglycemia in a cohort of patients with type 1 diabetes. PARTICIPANTS AND METHODS: Consecutive patients with type 1 diabetes were genotyped for single-nucleotide polymorphisms in or near the genes for the β1 and β2 adrenergic receptor (ADRB1, ADRB2), SORCS1, and BNC2, and for the insertion/deletion polymorphism in the ACE gene. IAH and severe hypoglycemia were assessed using a validated questionnaire. RESULTS: Of 486 patients, 32.5% were classified as having IAH. The Arg16Gly polymorphism of ADRB2 was associated with IAH (odds ratio: 1.49, 95% confidence interval: 1.01-2.20, P=0.046) Gly16 (GG) versus carriers of the A allele. In a haplotype analysis, the association was the highest in patients with GG at position 16 and heterozygous at position 27 (odds ratio: 2.19, 95% confidence interval: 1.33-3.61, P=0.03). There were no associations between IAH and other genes, and none of the studied genes was associated with severe hypoglycemia. CONCLUSION: Genotypes at two variants of ADRB2 are associated with IAH. This association is comparable with the risk of classical risk factors for IAH.
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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) | 0.001 | 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".