Telomere length-related gene ACYP2 polymorphism is associated with the risk of HAPE in Chinese Han population

The Association of Methylation Level in the CYP39A1 Gene with High Altitude Pulmonary Edema in the Chinese Population

Background

High altitude pulmonary edema (HAPE) is still the most common fatal disease at high altitudes. DNA methylation proceeds with an important role in HAPE progression. This study was designed to investigate the association between CYP39A1 methylation and HAPE.

Methods

Peripheral blood samples were enrolled from 106 participants (53 HAPE patients and 53 healthy subjects) to study the association of CYP39A1 methylation with HAPE. DNA methylation site in the promoter region of CYP39A1 was detected by Sequenom MassARRAY EpiTYPER platform.

Results

Probability analysis showed that the methylation probabilities of CYP39A1_1_CpG_5 and CYP39A1_3_CpG_21 are significant differences between the cases and controls (p< 0.05). The methylation level analysis indicated that CYP39A1_1_CpG_2.3.4, CYP39A1_5_CpG_6.7, and CYP39A1_5_CpG_9.10 were higher methylation in HAPE compared to the controls (p< 0.05). CYP39A1_3_CpG_21 and CYP39A1_4_CpG_3 exhibited a lower methylation level in HAPE than that in the controls (p< 0.05). The association analysis given that CYP39A1_1_CpG_2.3.4 (OR 2.56, p= 0.035), CYP39A1_5_CpG_6.7 (OR 3.99, p= 0.003), CYP39A1_5_CpG_9.10 (OR 3.99, p= 0.003), CYP39A1_5_CpG_16.17.18 (OR 2.53, p= 0.033), and CYP39A1_5_CpG_20 (OR 3.05, p= 0.031) are associated with an increased risk of HAPE. Whereas CYP39A1_1_CpG_5 (OR 0.33, p= 0.016) and CYP39A1_3_CpG_21 (OR 0.18, p= 0.005) have a protective role in HAPE. Besides, age-stratification analysis showed that CYP39A1_1_CpG_5 (OR 0.16, p= 0.014) and CYP39A1_3_CpG_21 (OR 0.08, p= 0.023) had a protective impact on HAPE in people aged ≤32 years. CYP39A1_5_CpG_6.7 (OR 6.70, p= 0.008) and CYP39A1_5_CpG_9.10 (OR 6.70, p= 0.008) were related to an increased susceptibility to HAPE aged >32 years. Moreover, the diagnostic value of CYP39A1_3_CpG_21 (AUC = 0.712, p< 0.001) was significantly better than other CpG sites.

Conclusion

The methylation level of CYP39A1 was associated with a risk of HAPE in the Chinese population, which provided new perspective for preventing and diagnosing of HAPE.

Suggestive evidence of CYP4F2 gene polymorphisms with HAPE susceptibility in the Chinese Han population

High altitude pulmonary edema (HAPE) is a common respiratory disease in the high altitude area, which is rapid and harmful. We firstly conducted a case-control study to assess the potential association of CYP4F2 gene polymorphisms with HAPE susceptibility in the Chinese Han population. The study recruited 238 patients with HAPE and 230 healthy controls in Northwest China. Genomic DNA was extracted from blood samples, and gene polymorphisms were detected using the Agena MassARRAY platform. Odds ratios (ORs), 95% confidence intervals (95% CIs), and P-value were used to evaluate the relationship between HAPE risk and CYP4F2 gene polymorphisms. Multi-factor dimension reduction (MDR) was used to assess the optimal interaction of CYP4F2 gene polymorphisms on HAPE risk. We found rs3093193 was shown to reduce the risk of HAPE (OR = 0.70, 95% CI = 0.52-0.93, P = 0.014), while rs12459936 was increased the susceptibility to HAPE (OR = 2.08, 95% CI = 1.33-3.26, P = 0.001). Age stratified analysis revealed that rs3093193 and rs12459936 were correlated with HAPE risk in people at age > 32 years old, and rs3093193 and rs3093110 were correlated with the HAPE risk in people at age ≤ 32 years old. Gender stratification analysis was found that rs3093193, rs12459936, and rs3093110 were all related to HAPE risk in males. A combination of rs12459936 and rs3093110 was the best multi-loci model with the highest testing accuracy. Our study is the first to provide the association between CYP4F2 gene polymorphisms and HAPE risk in the Chinese Han population.

Integrative analysis of miRNA-mRNA network in high altitude retinopathy by bioinformatics analysis

High-altitude retinopathy (HAR) is an ocular manifestation of acute oxygen deficiency at high altitudes. Although the pathophysiology of HAR has been revealed by many studies in recent years, the molecular mechanism is not yet clear. Our study aimed to systematically identify the genes and microRNA (miRNA) and explore the potential biomarkers associated with HAR by integrated bioinformatics analysis. The mRNA and miRNA expression profiles were obtained from the Gene Expression Omnibus database. We performed Gene Ontology functional annotations and Kyoto Encyclopedia of Genes and Genomes pathway analysis. Potential target gene analysis and miRNA-mRNA network analysis were also conducted. Quantitative RT-PCR (qRT-PCR) was used to validate the results of the bioinformatics analysis. Through a series of bioinformatics analyses and experiments, we selected 16 differentially expressed miRNAs (DE-miRNAs) and 157 differentially expressed genes related to acute mountain sickness (AMS) and constructed a miRNA-mRNA network containing 240 relationship pairs. The hub genes were filtered from the protein-protein interaction network: IL7R, FOS, IL10, FCGR2A, DDX3X, CDK1, BCL11B and HNRNPH1, which were all down-regulated in the AMS group. Then, nine up-regulated DE-miRNAs and eight hub genes were verified by qRT-PCR in our hypoxia-induced HAR cell model. The expression of miR-3177-3p, miR-369-3p, miR-603, miR-495, miR-4791, miR-424-5p, FOS, IL10 and IL7R was consistent with our bioinformatics results. In conclusion, FOS, IL10, IL-7R and 7 DE-miRNAs may participate in the development of HAR. Our findings will contribute to the identification of biomarkers and promote the effective prevention and treatment of HAR in the future.

Association between ACYP2 polymorphisms and the risk of renal cell cancer

Background

Kidney cancer is the predominant form of malignancy of the kidney and accounts for approximately 3%–4% of all cancers. Renal cell cancer (RCC) represents more than 85% of kidney cancer. It has been reported that genetic factors may predispose individuals to RCC. This study evaluated the association between Acylphosphatase 2 (ACYP2) gene polymorphisms and RCC risk in the Han Chinese population.

Methods

Twelve single‐nucleotide polymorphisms (SNPs) in ACYP2 were genotyped using the Agena MassARRAY platform from 293 RCC patients and 495 controls. The Chi‐squared test, genetic models, haplotype, and stratification analyses were used to evaluate the association between SNPs and the risk of RCC. The relative risk was estimated using the odds ratio (OR) and 95% confidence interval (CI).

Results

We observed that the rs6713088 allele G (OR = 1.26, 95% CI: 1.03–1.53, p = .023) and rs843711 allele T (OR = 1.29, 95% CI: 1.06–1.57, p = .010) were associated with increased RCC risk. Genetic model analyses found that rs843711 was significantly associated with an increased RCC risk under the recessive model and log‐additive model after adjusting for age and gender. Haplotype analysis showed that the haplotype “TTCTCGCC” (OR = 0.67, 95% CI: 0.48–0.94, p = .021) was associated with a decreased risk of RCC in the Han Chinese population. Stratification analysis also found that rs6713088 and rs843711 were significantly associated with increased RCC risk.

Conclusion

In summary, the results suggested that ACYP2 polymorphisms could be used as a genetic marker for RCC. Additional functional and association studies are required to validate our results.

Assessment of the association between ACYP2 and laryngeal squamous cell carcinoma risk in Chinese males

BACKGROUND

Laryngeal squamous cell carcinoma (LSCC) is one of the most prevalent malignant neoplasms of the upper respiratory tract. Studies have confirmed that an unstable chromosome constitution promotes the progress of laryngeal tumorigenesis, and ACYP2 has been confirmed as a telomere length-related gene. However, to date, the association between ACYP2 polymorphisms and LSCC susceptibility has not been investigated.

METHODS

We performed this study to explore the effect of 11 single-nucleotide polymorphisms (SNPs) in ACYP2 on LSCC susceptibility in Chinese Han males. Unconditional logistic regression analysis adjusted for age was used to calculate the odds ratios and 95% confidence intervals.

RESULTS

Based on allele and genotype models, our results showed that rs1682111 variant was significantly associated with a decreased LSCC susceptibility (p < 0.05). On the contrary, polymorphisms of rs10439478, rs11125529, rs12615793, rs843711, rs11896604, and rs17045754 were significantly associated with an increased LSCC risk (p < 0.05). The results of haplotype analysis indicated that haplotypes "TTCTCG" and "TTCTAA" in block 1 and "TG" in block 2 showed a risk factor for the development of LCSS (p = 0.009, p < 0.001, and p = 0.001, respectively). The results of Genotype-Tissue Expression analysis indicate that these significant SNPs were known to be associated with ACYP2 expression.

CONCLUSION

Our data demonstrated that ACYP2 polymorphisms may exert effects on LSCC susceptibility in Chinese Han males.

Associations between polymorphisms of the ACYP2 gene and Liver cancer risk: A case-control study and meta-analysis

Background

ACYP2 gene may be involved in the process of telomere shortening which may be involved in the liver cancer. So, this research was to examine whether the ACYP2 gene polymorphism has impact on the risk of liver cancer in Chinese population.

Methods

Two hundred and fifty cirrhosis patients and 248 liver cancer patients were selected. Unconditional logistic regression was to calculate the odds ratio (OR) and 95% confidence intervals (CIs). Analyze the relationship between ACYP2 gene polymorphism and tumor using meta‐analysis. Analyze the expression of ACYP2 gene in liver cancer and its influence on the prognosis of liver cancer by databases (Ualcan, GTEX and Kaplan–Meier plotter).

Results

In the allele model, ACYP2 rs843720 was protection against the occurrence of cirrhosis developed into liver cancer (OR = 0.76, 95% CI: 0.58–0.99, p = 0.04). Rs1682111 and rs843720 play a protective role in the additive model (rs1682111: OR = 0.69, 95% CI: 0.52–0.93, p = 0.01; rs843720: OR = 0.73, 95% CI: 0.54–0.98, p = 0.04).While rs843645 G allele increased the risk of cirrhosis developed into liver cancer under the additive model (OR = 1.42, 95% CI: 1.02–2.00, p = 0.04).The haplotype analysis detected that “ATATCGCC” decreased the risk of cirrhosis developed into liver cancer (OR = 0.69, 95% CI: 0.51–0.92, 95% CI: p = 0.013); however, “TGAGCGTC” increased the risk of cirrhosis developed into liver cancer (OR = 1.48, 95% CI: 1.04–2.10, p = 0.027). Meta‐analysis shown that ACYP2 rs1682111 was associated with the risk of cancer (OR = 0.90, 95% CI: 0.78–1.05, p = 0.02). ACYP2 gene high expression was found to be associated with better OS for all liver patients.

Conclusion

Based on this research, we surmised that ACYP2 gene may be involved in the occurrence of liver cancer in Chinese populations.

The influence of ACYP2 polymorphisms on gastrointestinal cancer susceptibility in the Chinese Han population

Background

Gastrointestinal cancer (GI cancer) is a type of cancer that has a high death rate. It has been reported that ACYP2 gene was associated with the development of gastric cancer and colorectal cancer, but it is not clear that the relationship between ACYP2 gene and GI cancer in Chinese Han population. This study aimed to investigate the association between polymorphisms of ACYP2 and GI cancer in the Chinese Han population.

Methods

We used Agena MassARRAY to determine the genotypes of 1,160 GI cancer patients and 495 healthy controls. The correlation between ACYP2 variants and GI cancer risk was examined by logistic regression analysis.

Results

We identified that rs6713088 (OR = 1.17, 95% CI: 1.00–1.36, p = 0.047), rs843711 (OR = 1.17, 95 CI: 1.01–1.36, p = 0.035), and rs11896604 (OR = 1.20, 95% CI: 1.00–1.45, p = 0.048) were correlated with an increased risk of GI cancer under allele model. Rs11125529 under the recessive model (OR = 2.05, 95% CI: 1.00–4.23, p = 0.038), rs843711 in recessive model (OR = 1.37, 95% CI: 1.04–1.82, p = 0.026), and rs11896604 under log‐additive model (OR = 1.23, 95% CI: 1.01–1.51, p = 0.042) were associated with an increased risk of GI cancer.

Conclusion

Our study suggested that polymorphisms of ACYP2 gene might be associated with susceptibility to GI cancer.

Pulmonary phenotypes associated with genetic variation in telomere-related genes

PURPOSE OF REVIEW

Genomic mutations in telomere-related genes have been recognized as a cause of familial forms of idiopathic pulmonary fibrosis (IPF). However, it has become increasingly clear that telomere syndromes and telomere shortening are associated with various types of pulmonary disease. Additionally, it was found that also single nucleotide polymorphisms (SNPs) in telomere-related genes are risk factors for the development of pulmonary disease. This review focuses on recent updates on pulmonary phenotypes associated with genetic variation in telomere-related genes.

RECENT FINDINGS

Genomic mutations in seven telomere-related genes cause pulmonary disease. Pulmonary phenotypes associated with these mutations range from many forms of pulmonary fibrosis to emphysema and pulmonary vascular disease. Telomere-related mutations account for up to 10% of sporadic IPF, 25% of familial IPF, 10% of connective-tissue disease-associated interstitial lung disease, and 1% of COPD. Mixed disease forms have also been found. Furthermore, SNPs in TERT, TERC, OBFC1, and RTEL1, as well as short telomere length, have been associated with several pulmonary diseases. Treatment of pulmonary disease caused by telomere-related gene variation is currently based on disease diagnosis and not on the underlying cause.

SUMMARY

Pulmonary phenotypes found in carriers of telomere-related gene mutations and SNPs are primarily pulmonary fibrosis, sometimes emphysema and rarely pulmonary vascular disease. Genotype-phenotype relations are weak, suggesting that environmental factors and genetic background of patients determine disease phenotypes to a large degree. A disease model is presented wherever genomic variation in telomere-related genes cause specific pulmonary disease phenotypes whenever triggered by environmental exposure, comorbidity, or unknown factors.

Association between the IL1R2 rs2072472 polymorphism and high-altitude pulmonary edema risk

Aim

High‐altitude pulmonary edema (HAPE), as a multifactorial disease, is caused by stress failure and involves both environmental and genetic factors. Study shows that IL‐1 receptors can selectively decrease the oxygen arterial hypertension and influence the blood coagulation. So we evaluated whether genetic polymorphisms in IL1R1 and 1L1R2 genes are associated with the risk of HAPE in Chinese Han population.

Methods

Ten susceptible SNPs in the IL1R1 and IL1R2 genes were genotyped among 265 HAPE cases and 303 controls using the Agena MassARRAY platform. The associations of the SNP frequencies with HAPE were analyzed by chi‐square (χ²) test/Fisher's test. The genetic models were used to evaluate associations.

Results

In the allele model, we found that rs2072472 was significantly associated with a 0.73‐fold decreased risk of HAPE (OR = 0.73, 95% CI = 0.55–0.97, p = 0.033). In the genetic model analysis, the rs2072472 in IL1R2 gene was associated with a 0.32‐fold decreased risk of HAPE in the codominant model, 0.67‐fold decreased risk of HAPE in the dominant model, 0.36‐fold decreasing the risk of HAPE in the recessive model, and 0.66‐fold decreased risk of HAPE in the log‐additive model, respectively. We found three candidate SNPs (rs11674595, rs4851527, and rs719250) in the IL1R2 gene have shown strong linkage, and none of the haplotypes was significantly associated with risk of HAPE.

Conclusion

These findings suggested that IL1R2 polymorphisms may contribute to the protection of HAPE.

Association between the <b><i>ACYP2</i></b> Polymorphisms and IgAN Risk in the Chinese Han Population

<b><i>Background/Aims:</i></b> The association between <i>ACYP2</i>(Acylphosphatase 2) polymorphisms and immunoglobulin A nephropathy (IgAN) risk in the Chinese Han population remains unclear. We aimed to evaluate the association between <i>ACYP2</i> polymorphisms and IgAN risk by performing a case-control study. <b><i>Methods:</i></b> Eleven <i>ACYP2</i> single nucleotide polymorphisms (SNPs) from 416 IgAN patients and 495 healthy controls were genotyped using the Sequenom MassARRAY platform. Odds ratio (OR) and 95% confidence interval (CI) were calculated to evaluate the association of <i>ACYP2</i> polymorphisms with IgAN risk. <b><i>Results:</i></b> We observed that rs843720 was significantly associated with an increased risk of IgAN (allele G: OR = 1.23, 95% CI: 1.01–1.49, <i>p</i> = 0.036; dominant model: OR = 1.55, 95% CI: 1.01–2.37, <i>p =</i>0.044; log-additive model: OR = 1.43, 95% CI: 1.04–1.95, <i>p</i> = 0.026) before Bonferroni correction. The SNP rs12615793 was also significantly associated with an increased IgAN risk in the recessive model (OR = 3.33, 95% CI: 1.05–10.51, <i>p</i> = 0.042) before Bonferroni correction. <b><i>Conclusion:</i></b> These findings suggested that polymorphisms (rs843720 and rs12615793) of <i>ACYP2</i> may be pivotal in the development of IgAN. However, more functional and association studies with larger sample sizes should be performed to further validate our results in the future.

Association analysis of telomere length related gene ACYP2 with the gastric cancer risk in the northwest Chinese Han population

Gastric cancer (GC) is a complex multifactorial disease, and genetic factors are believed the predominant cause to the occurrence of GC. We sought to investigate the associations between single nucleotide polymorphisms (SNPs) in ACYP2 gene and the risk of GC in the Northwest Chinese Han population. We recruited 302 GC cases and 300 controls from northwest China and selected 13 SNPs from ACYP2 gene. SNPs were genotyped using Sequenom Mass-ARRAY technology. Odds ratios (ORs) and 95 % confidence intervals (CIs) were used to assess the association. Bonferroni's multiple adjustment was applied to the level of significance, which was set at P < 0.00078 (0.05/65). We found that the minor alleles of rs6713088, rs11125529, rs12615793, rs843711, rs11896604, rs843706 and rs17045754 significantly stimulated the risk of GC, and homozygous alleles of above SNPs except rs6713088 were also found increasing the GC risk (P < 0.05). Under additive model and recessive model, rs11125529, rs12615793, rs843711, rs11896604, and rs17045754 also activated the risk of GC (P < 0.05). However, after Bonferroni's multiple adjusted was applied to our data, no SNP in our study was significantly related to GC risk. Further results of haplotype analysis founds that the haplotypes "TTCTAATG" (rs1682111, rs843752, rs10439478, rs843645, rs11125529, rs12615793, rs843711, and rs11896604) and "AC" (rs843706 and rs17045754) were more frequency among patients with GC, on the contrary, the haplotypes "CG" had a protective role in the GC risk (P < 0.05). Our results indicate that ACYP2 polymorphisms may influence the GC risk and may serve as a new precursory biomarker in the northwest Chinese Han population.

Interactions between ACYP2 genetic polymorphisms and environment factors with susceptibility to ischemic stroke in a Han Chinese Population

Aims

To investigate the association of several single nucleotide polymorphisms (SNPs) within ACYP2 gene and additional gene- environment interaction with ischemic stroke (IS) risk in a Chinese population.

Results

IS risk was significantly higher in carriers with the G allele of rs11896604 than those with CC genotype (CG or GG versus CC), adjusted OR (95%CI) =1.60 (1.18-2.20), and higher in carriers with the A allele of rs12615793 than those with GG genotype (GA or AA versus GG), adjusted OR (95%CI) = 1.66 (1.24-2.15). GMDR model shown a significant two-locus model (p = 0.0010) involving rs11896604 and alcohol drinking, and a significant two-locus model (p = 0.0010) involving rs12615793 and smoking. Current smokers with rs12615793- GA or AA genotype have the highest IS risk, compared to never- smokers with rs12615793-GG genotype, OR (95%CI) = 2.72 (1.64-3.86); current drinkers with rs11896604-CG or GG genotype have the highest IS risk, compared to never- drinkers with rs11896604-CC genotype, OR (95%CI) = 2.51 (1.70-3.40).

Materials and Methods

A total of 1202 participants (660 males, 542 females) were selected, including 600 IS patients and 602 control participants. The mean age of all participants was 68.2 ± 15.8 years. Generalized multifactor dimensionality reduction (GMDR) was used to screen the best interaction combination. Logistic regression was performed to investigate the impact of 4 SNPs within ACYP2 gene, additional gene-smoking or drinking interaction on IS risk.

Conclusions

We found that the G allele of rs11896604 and the A allele of rs12615793 within ACYP2 gene, rs12615793- smoking interaction, and rs11896604-alcohol drinking interaction were all associated with increased IS risk.

Association between single nucleotide polymorphisms in ADRB2, GNB3 and GSTP1 genes and high-altitude pulmonary edema (HAPE) in the Chinese Han population

High altitude pulmonary edema (HAPE) occurs mainly under conditions such as high altitude, rapid ascent, or hypoxia. Previous studies suggest that ADRB2, GNB3, TH, and GSTP1 polymorphisms are associated with various lung diseases. We evaluated whether those polymorphisms are associated with the risk of HAPE in a Chinese Han population. ADRB2, GNB3, TH and GSTP1 polymorphisms were genotyped using a Sequenom MassARRAY. Logistic regression, adjusted for age and gender, was used to evaluate the association between the genotypes and the risk of HAPE by computing odds ratios (ORs) and 95% confidence intervals (95% CIs). The results revealed that GNB3 rs4963516 allele ''G'' (G vs T: OR = 0.70, 95% CI = 0.55-0.90, p = 0.006) was associated with HAPE risk. The ADRB2 rs1042718 alleles had a 1.29-fold (95%CI = 1.00-1.66; p = 0.045) increased risk of HAPE, and the GSTP1 rs749174 alleles had a 0.71-fold (95%CI = 0.52-0.99; p = 0.042) decreased risk of HAPE. Co-dominant and dominant models of GNB3 rs4963516 decreased the risk of HAPE (p = 0.023 and p = 0.008, respectively). Our results indicate GNB3 and GSTP1 polymorphisms may protect against HAPE progression, while ADRB2 polymorphisms are associated with an increased risk of HAPE.

ACYP2 polymorphisms are associated with the risk of liver cancer in a Han Chinese population

We explored the association between single nucleotide polymorphisms (SNPs) in ACYP2 and liver cancer risk. Thirteen SNPs were genotyped in 473 cases and 564 controls. Genetic model, linkage disequilibrium, and haplotype analyses were performed to evaluate the association between ACPY2 SNPs and liver cancer risk. We found that rs6713088 (G allele: odds ratio [OR] = 1.27, 95% confidence interval [CI]: 1.07-1.52, P = 0.007; GG vs. CC: OR = 1.49, 95% CI: 1.02-2.1, P = 0.038), rs843711 (T allele: OR = 1.29, 95% CI: 1.09-1.54, P = 0.004; TT vs. CC: OR = 1.62, 95% CI: 1.13-2.31, P = 0.008), rs843706 (A allele: OR = 1.30, 95% CI: 1.09-1.55, P = 0.003; AA vs. CC: OR = 1.62, 95% CI: 1.13-2.31, P = 0.008), and rs843645 (GG vs. AG: OR = 1.40, 95% CI: 1.07-1.82, P = 0.014) were associated with an increased risk of liver cancer. In contrast, rs1682111 (A allele: OR = 0.77, 95% CI: 0.640-0.94, P = 0.007; AT vs. TT: OR = 0.69, 95% CI: 0.53-0.91, P = 0.007), rs843720 (additive model: OR = 0.82, 95% CI: 0.68-1.00, P = 0.049), ATATCGCC and CG haplotypes (OR = 0.76, 95% CI: 0.62-0.92, P = 0.006; OR = 0.78, 95% CI: 0.65-0.93, P = 0.006, respectively) were significantly decreased liver cancer risk. Our results confirmed that rs6713088, rs843645, rs843711 and rs843706 were significantly increased liver cancer risk, but rs1682111, rs843720 and haplotypes (ATATCGCC and CG) were significantly decreased liver cancer risk in a Han Chinese population.

Leukocyte telomere length-related genetic variants in ACYP2 contribute to the risk of esophageal carcinoma in Chinese Han population

BACKGROUND

Short leukocyte telomere length has been associated with significantly increased risk of esophageal carcinoma. A previous genome-wide association study demonstrated that ACYP2 was associated with leukocyte telomere length. However, the role of ACYP2 genetic variants on esophageal carcinoma susceptibility is still unknown. Therefore, we investigated whether ACYP2 polymorphisms have impact on the risk of esophageal carcinoma in Chinese.

MATERIALS AND METHODS

We conducted a case-control study among 386 cases and 495 healthy controls from northwest China. 14 SNPs in ACYP2 were selected and genotyped using Sequenom MassARRAY technology. Odds ratios (OR) and 95% confidence intervals (CIs) were calculated by unconditional logistic regression adjusting for age and gender.

RESULTS

We found that 1.34-fold increased risk of esophageal carcinoma is associated with the rs11125529 A allele compared with the rs11125529 C allele (OR=1.29, 95%CI: 1.02-1.62, p=0.030) under the additive model, after adjusted by age and gender. We also found rs11896604 and rs17045754 loci increased the esophageal carcinoma risk under the additive model (rs11896604: OR=1.34, 95%CI: 1.03-1.76, p=0.032; rs17045754: OR=1.36, 95%CI: 1.03-1.80, p=0.028). One main linkage block was observed across the locus. This block was comprised of seven closely linked SNPs: rs1682111, rs843752, rs10439478, rs843645, rs11125529, rs843711 and rs11896604. The haplotype analysis detected that haplotype "TTCTATG" increased the risk of esophageal carcinoma (OR=1.38, 95%CI: 1.04-1.82, p=0.025).

CONCLUSION

In conclusion, ACYP2 gene may be associated with an increased risk of esophageal carcinoma in Chinese Han populations. Future studies to address the biological function of this polymorphism in the development of esophageal carcinoma are warranted.

Association of polymorphisms in the telomere-related gene ACYP2 with lung cancer risk in the Chinese Han population

Single nucleotide polymorphisms (SNPs) in the telomere-associated gene ACYP2 are associated with increased lung cancer risk. We explored the correlation between ACYP2 SNPs and lung cancer susceptibility in the Chinese Han population. A total of 554 lung cancer patients and 603 healthy controls were included in this study. Thirteen SNPs in ACYP2 were selected. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using unconditional logistic regression analysis. Multivariate logistic regression analysis was used assess the correlation between SNPs and lung cancer. We found that rs1682111 was associated with increased lung cancer risk in the recessive model (crude, OR=1.50, 95%CI: 1.04-2.16, p=0.029; adjusted for age, OR=1.55, 95%CI: 1.04-2.30, p=0.029), as was rs11896604 in the codominant model (crude, OR=0.65, 95%CI: 0.33-1.28, p=0.045; adjusted for age, OR=0.74, 95%CI: 0.36-1.53, p=0.049) and over-dominant model (crude, OR=1.30, 95%CI: 1.02-1.66, p=0.032; adjusted for age, OR=1.37, 95%CI: 1.05-1.78, p=0.020). Finally, rs843720 was associated with increased lung cancer risk in the recessive model (crude, OR=1.43, 95%CI: 1.02-2.02, p=0.040; adjusted for age, OR=1.48, 95%CI: 1.02-2.15, p=0.040). Thus three SNPs in ACYP2 (rs1682111, rs11896604 and rs843720) associate with lung cancer in the Chinese Han population.