Genome-Wide Association Studies-derived susceptibility loci in Type 2 Diabetes: confirmation in a Chinese population
Bibliographic record
Abstract
PURPOSE: Several novel genetic variants for type 2 diabetes mellitus (T2DM) have been identified through genome-wide association studies (GWAS). A case-controll study was performed to investigate the association of five new European or South Asian GWAS-derived susceptibility loci with T2DM in a Chinese population. METHODS: Five single nucleotide polymorphisms (SNPs) were genotyped: rs3923113 near GRB14, rs16861329 in ST6GAL1, rs1802295 in VPS26A, rs7178572 in HMG20A, and rs231362 near KCNQ1, by high-resolution melting (HRM) of small amplicons. The association between T2DM and related quantitative traits in a total of 900 Chinese individuals, including 498 type 2 diabetic patients and 402 ethnically matched control subjects, were examined. RESULTS: After adjusting for age and gender, rs1802295 (OR 5.724, P=0.03) and rs231362 (OR=5.683, P=0.016) were found to be associated with T2DM. Triglyceride levels were higher in TT and CT carriers for rs16861329 (1.05 (0.8-1.34) mmol/l) than in CC carriers (0.91 (0.73-1.23) mmol/l) with P=0.008 and that high-density lipoprotein cholesterol (HDL-C) was lower in TT and CT carriers (1.17 (1.02-1.33) mmol/l) than in CC carriers (1.21 (1.05-1.41) mmol/l), with P=0.034. For rs3923113, the HDL-C levels were lower in the GG carriers (1.08 (0.90-1.18) mmol/l) than in the GT+TT carriers (1.21 (1.04-1.38) mmol/l), with P=0.018. Ours is the first report of this association. CONCLUSION: rs231362-KCNQ1 and rs1802295-VPS26A are associated with T2DM in the Chinese population. The remaining three SNPs are associated with other aspects of lipid metabolism.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".