Relationship between the <i>TERT, TNIP1</i> and <i>OBFC1</i> genetic polymorphisms and susceptibility to colorectal cancer in Chinese Han population
Bibliographic record
Abstract
// Chuang Li 1, 2 , Zixuan Zhao 3 , Jun Zhou 2 , Ying Liu 2 , Hao Wang 2 and Xinhan Zhao 1 1 Department of Medical Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710061, China 2 Department of Interventional Therapy, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning 116001, China 3 Elite Property Management Ltd, Saskatoon, SK S7H 0S6, Canada Correspondence to: Xinhan Zhao, email: zhaoxinhanprof@163.com Keywords: colorectal cancer, polymorphism, TERT, TNIP1, OBFC1 Abbreviations: CRC: colorectal cancer; SNP: single nucleotide polymorphism; OR: odds ratio; CI: confidence interval; LD: linkage disequilibrium Received: March 29, 2017 Accepted: April 27, 2017 Published: June 06, 2017 ABSTRACT Colorectal cancer (CRC) is one of the most common diseases worldwide, and telomere length has been reported correlate with CRC. This study aimed to investigate whether polymorphisms of telomere length related genes are associated with susceptibility to CRC in Chinese Han population. 11 SNPs from TERT , TNIP1 and OBFC1 genes were selected and genotyped, in addition odds ratio (OR) and 95% confidence intervals (CI) were used to evaluate association between the SNPs and CRC risk in 247 patients clinically and 300 controls in a Chinese Han population. Our results showed that minor allele “G” of rs7708392 and minor allele “C” of rs10036748 in TNIP1 gene were significantly associated with an increased the CRC risk in genotype model, dominant model and additive model after Bonferroni’s multiple adjusted ( P <0.0011). Moreover, the two SNPs rs7708392 and rs10036748 were in strong linkage disequilibrium. We observed that the haplotype “G-C” was more frequent among CRC patients and associated with a 1.58-fold increased CRC risk (95%CI=1.17-2.13, P =0.003). Contrarily, haplotype “C-T” was associated with a 0.63-fold reduced CRC risk (95%CI=0.47-0.86, P =0.003). Additionally, SNPs in this study except rs7708392 and rs10036748 were found a modest connection with CRC risk. In conclusion, our study firstly provides evidence for a novel association between polymorphisms of telomere length related TNIP1 gene and CRC susceptibility in Chinese Han population, and the results need a further identification in a large sample size and other populations.
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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 | 0.000 |
| 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".