Analysis Of The Association Between Sh2B1 chr16.28884655 And Type 2 Diabetes
Bibliographic record
Abstract
PURPOSE: To determine correlation between genetic susceptibility of type 2 diabetes mellitus (T2DM) and Src homology 2 B adapter protein 1 (SH2B1) gene polymorphism in a diabetic population. Methods: A total of 111 T2DM patients (DM group) and 34 healthy controls (NC group) from Shanxi Provincial People's Hospital were included in this study. Exon 9 of the SH2B1 gene was detected using the Sanger sequencing method, and the relationship between SH2B1 gene polymorphism and diabetes was analyzed. Results: Comparison of the data between the two groups showed that the values of TG, the updated HOMA of insulin resistance (HOMA2-IR), weight, body mass index, waist circumference, fasting blood glucose and fasting insulin levels of the DM group were higher than those of the NC group (P < 0.05). The HOMA2 insulin sensitivity (%S) of the DM group was lower than that of the NC group (P < 0.05). Sequencing analysis revealed that the following five single nucleotide polymorphisms in exon 9 of SH2B1 may be related to T2DM: rs181578610, rs550079240, chr16.28884655, chr16.28884659 and chr16.28884831. Among them, chr16.28884655 was found to be significantly related to diabetes; this site, located on the NM_015503 exon, was related to TG, LDL-C and waist circumference. CONCLUSION: The SH2B1 gene locus chr16.28884655 was found to be significantly related to genetic susceptibility to T2DM.
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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 | 0.001 |
| 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) | 0.004 | 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".