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Digestion ; 103(2): 103-115, 2022.
Article in English | MEDLINE | ID: mdl-34818221

ABSTRACT

BACKGROUND: Colorectal cancer (CRC) is one of the common malignant tumors, with high mortality and poor prognosis. Our study aimed to determine the association between the long noncoding RNA (LncRNA) C5orf66 polymorphism and CRC risk in southern Chinese Han population. METHOD: Using the experimental design of "case-control" study (512 cases and 513 controls), we selected 4 candidate single-nucleotide polymorphisms (SNPs) of C5orf66. All candidate SNPs were genotyped by Agena MassARRAY. Logistic regression was used to analyze the association between SNPs and CRC risk. Then, we used false-positive report probability analysis to detect whether the significant result is just a chance or noteworthy observation. Multi-factor dimensionality reduction was used to analyze the interaction of "SNP-SNP" in CRC risk. RESULTS: Our results showed that C5orf66 SNPs rs4976270 (odds ratio [OR] = 1.69, p = 0.021) and rs639933 (OR = 1.67, p = 0.024) were, respectively, associated with increasing CRC risk in the southern Chinese Han population. Stratified analysis showed that rs4976270 and rs639933 were significantly associated with an increased risk of CRC in subgroups (>60 years, body mass index ≤24 and drinking) under multiple genetic models. In addition, rs254563 and rs647161 also had potential association with CRC risk in subgroups (BMI ≤24 and drinking). Finally, haplotype analysis results showed that haplotype "TA" was significantly associated with increased CRC risk (OR = 1.21, confidence interval = 1.47-2.02, p = 0.043). CONCLUSION: Our study provides a new idea for the risk assessment of CRC. LncRNA C5orf66 SNPs have a certain association with CRC risk in the southern Chinese Han population.


Subject(s)
Colorectal Neoplasms , Genetic Predisposition to Disease , RNA, Long Noncoding , Asian People/genetics , Case-Control Studies , China/epidemiology , Colorectal Neoplasms/epidemiology , Colorectal Neoplasms/genetics , Genotype , Humans , Polymorphism, Single Nucleotide , RNA, Long Noncoding/genetics , Risk Factors
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