Figures
Abstract
Background
Available evidence has demonstrated that osteocalcin may play a role in pathogenesis of cancer, and mutation of the osteocalcin gene may be involved in the cancer development. The aim of this study is to determine whether osteocalcin gene polymorphisms are associated with hepatitis B virus (HBV) related hepatocellular carcinoma (HCC) among Chinese population.
Methods
A total of 515 subjects were divided into four groups: 129 patients with chronic hepatitis B (CHB), 62 patients with HBV-related liver cirrhosis (LC), 154 patients with HBV-related HCC, and 170 healthy controls. The polymerase chain reaction-restriction fragment length polymorphism strategy was used to detect osteocalcin gene rs1800247 and rs1543297 polymorphisms.
Results
Compared with healthy controls, the rs1800247 HH and Hh genotypes were associated with a significantly increased susceptibility to HCC (HH versus hh: OR = 6.828, 95% CI 2.620–17.795, P <0.001; Hh versus hh: OR = 6.306, 95% CI 3.480–11.423, P <0.001, respectively). Similarly, the subjects bearing the H allele of rs1800247 had more than a 2.4-fold increased risk for development of HCC (OR = 2.484, 95% CI 1.747–3.532, P <0.001) compared with those bearing the h allele. In addition, we found significant decreased serum osteocalcin levels in HBV-related HCC patients (11.73±8.18 ng/mL) compared with healthy controls (15.3±6.06 ng/mL). Furthermore, the serum osteocalcin levels were significantly lower in HCC patients than healthy controls among the individuals with heterozygous Hh genotype (P = 0.003) and CT genotype (P <0.001). In contrast, there were no significant differences in the genotype and allele of rs1543297 polymorphisms between the groups of patients and healthy controls.
Citation: Liu Y, Huang L, Lu Y, Xi X-E, Huang X-L, Lu Q, et al. (2015) Relationships between the Osteocalcin Gene Polymorphisms, Serum Osteocalcin Levels, and Hepatitis B Virus-Related Hepatocellular Carcinoma in a Chinese Population. PLoS ONE 10(1): e0116479. https://doi.org/10.1371/journal.pone.0116479
Academic Editor: William B. Coleman, University of North Carolina School of Medicine, UNITED STATES
Received: October 16, 2014; Accepted: December 9, 2014; Published: January 14, 2015
Copyright: © 2015 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This research was supported by National Natural Science Foundation of China (No. 81260302 and No. 81460431). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Hepatocellular carcinoma (HCC) is a common malignant neoplasm, with estimated 782,000 new cancer cases occurred in 2012 worldwide (50% in China alone) [1]. It ranks as the fifth most common incident cancer in men and the ninth in women [1]. Owing to its poor prognosis, it is the second commonest cause of death from cancer worldwide [1]. All of these data highlight the importance of a better understanding of risk factors related to HCC development. However, HCC is a multifactorial disease involving a complex interplay between genetic and environmental factors [2, 3]. It has been well recognized tha hepatitis B virus (HBV) and the hepatitis C virus (HCV) infection, smoking, aflatoxin exposure, and excess intake of alcohol are the major etiological factors accounting for HCC [4–6]. However, the molecular and cellular mechanisms for HCC pathogenesis remain largely elusive and need to be further elucidated. Association studies comparing genetic maker frequencies in patients and control groups without related diseases often implicate implicat a candidate gene in the etiology of a complex disease [7–9].
Osteocalcin, also called bone gamma-carboxyglutamate (gla) protein (BGLAP), is the most abundant noncollagenous protein component of bone. It involved in bone calcification, resorption, and remodeling [10, 11]. Osteocalcin gene is located at chromosome 1q25-q31. Recently, a polymorphism at nucleotide 298 in the promoter region of the osteocalcin gene at the restriction enzyme HindIII site was identified. The other one tagging single-nucleotide polymorphism (SNP) rs1543294 (C/T) located 3’ of the osteocalcin gene and close to the polyamine-modulated factor 1 (PMF1) gene [12]. These two most commonly reported SNPs were expected to be important candidate sites of gene for bone mineral density and osteoporosis [12–17]. Our previous study had identified an inverse association of serum osteocalcin levels with metabolic syndrome in a Chinese population [18]. With respect to its relation to cancer, osteocalcin expression has been reported to associate with prostate cancer cell transformation [19]. Actually, the first report linking the osteocalcin and cancer was performed in 1988 by Francini et al. [20]. The authors reported that serum osteocalcin might be considered specific in the evaluation and monitoring of osteoblastic bone metastases in prostatic cancer [20]. Next to this, in 1989, Pietschmann et al. [21] reported that serum osteocalcin levels of patients with visceral metastases were significantly lower than in control subjects. After these, the positive roles of osteocalcin on breast and prostate cancers were further demonstrated [19, 22]. More recently, several studies demonstrated that lower serum osteocalcin levels were associated with the presence of non-alcoholic fatty liver disease, and also associated with serum transaminases and the extent of hepatocyte ballooning [23–25]. On the other hand, there was also study indicated that serum osteocalcin were significantly elevated in patients with HBV and HCV infections [26]. With regard to the genetic sutdies, Wu et al. [27] for the first time investigated the association between osteocalcin gene polymorphism and prostate cancer risk, and concluded that the HindIII polymorphism was a suitable genetic marker of prostate cancer.
However, to our knowledge, there has not been a study to examined the association between genetic polymorphisms in osteocalcin gene polymorphism and HBV-related HCC. The relationship between osteocalcin gene polymorphisms and the serum total osteocalcin levels remains unknown. The object of the present study is, for the first time, to determine whether osteocalcin gene rs1800247 (HindIII) and rs1543297 polymorphisms are associated with the susceptibility to chronic Hepatitis B (CHB), HBV-related liver cirrhosis (LC), and HBV-related HCC in a Chinese population.
Subjects and Methods
Study subjects
This was a hospital-based case-control study performed in a total of 515 unrelated subjects, including 129 patients with CHB (115 males, 14 females), 62 patients with HBV-induced LC (52 males, 10 females), 154 patients with HBV-related HCC (135 males, 19 females), and 170 healthy controls (147 males, 23 females) (Table 1). All the included patients with HBV-infected diseases were consecutively selected from the First Affiliated Hospital of Guangxi Medical University in Guangxi, China, between May and December 2013, which as described in detail previously [28–30]. All the included patients were confirmed to be positive for hepatitis B surface antigen (HBsAg) and hepatitis B virus core antibody (HbcAb) for at least six months.
As described in detail previously [9, 31], CHB was defined as positivity for HBsAg for a period of at least 6 months, serum HBV-DNA levers ≥1000 copies/mL, and elevated alanine aminotransferase (ALT) or aspartate aminotransferase (AST) (>40 IU/mL) at least once during the follow-up period. LC was diagnosed based on pathologic examination or typical morphologic findings from computed tomography (CT) or ultrasonography, and on the laboratory features. The diagnosis of HBV-related HCC was based on combination of clinical history, pathologic examination, imaging (CT, magnetic resonance imaging, or ultrasonography) and laboratory data, and/or histology. We only included the newly-diagnosed HCC patients; patients with other hepatitis virus infections, such as hepatitis C (HCV) or hepatitis E (HEV), or a medical history of HCC or other cancers were excluded. An alcohol drinker was defined as someone who consumed alcoholic beverages at least once per week for more than 6 months. Subjects were considered smokers if they smoked up to 1 year before the date of diagnosis for cases, or up to the date of interview for controls.
A total 170 controls without clinical evidence of hepatic disease or tumor were randomly selected from a pool of healthy volunteers who visited the general health check-up centers at the same hospitals during the same time period for routine scheduled physical exams. To control for the effects of potential confounders, controls were individually matched to cases based on sex, age (±5 years).
The study protocol was approved by the ethics committee of the First Affiliated Hospital of Guangxi Medical University. All of the involved patients and all healthy volunteers provided written informed consent.
DNA extraction
Peripheral blood samples (2 mL) were collected from all of the subjects in ethylenediaminetetraacetic acid (EDTA)-coated vials and stored at −80°C until DNA extraction. Genomic DNA was extracted from white blood cell fractions using QIAamp DNA Blood Mini Kit (QIAGEN GmbH, Hilden, Germany), according to the manufacturer’s instructions. DNA concentration was determined spectrophotometrically.
PCR amplification
The rs1800247 and rs1543297 genotypes were performed using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The presence of the rs1800247 polymorphisms was detected by amplifying genomic DNA with the following oligonucleotide primers: forward, 5’-CCGCAGCTCCCAACCACAATAAGCT-3’; and reverse, 5’-CAATAGGGCGAGGAGT-3’. For the rs1543297, the forward primer used was 5’-TGACCCCAAGAGGCTACAAG-3’; and forward primer used was 5’-CGGTAGCTGCCTAATCATGC-3’. The PCR reaction was performed in a total volume of 25 μl, consisting of 2 μl of genomic DNA, 1 μl of each primer, 12.5 μl of Green PCR Master Mix (Sangon Biotech, Shanghai, China), and 8.5 μl of nuclease-free double-distilled water.
For rs1800247 genotype, the amplification protocol comprised initial denaturation at 95 C for 5 min; 30 cycles of denaturation at 94°C for 30 sec, annealing at 58°C for 30 sec, and extension at 72°C for 60 sec; and a final extension at 72° for 7 min. For rs1543297 genotype, after an initial denaturation of 3 minutes’ duration at 95°, 30 cycles of denaturation (94°C, 45 sec), annealing (61°C, 30 sec), and elongation (72°C, 45 sec) were followed by a final elongation step at 72°C for 7 min.
Polymorphism genotyping
For rs1800247 and rs1543297, 10 μl aliquots of the PCR products were digested at 37°C for 3 hours with 1 μl of HindIII or TaiI restriction enzymes, respectively. Digested fragments were separated by electrophoresis in 2% agarose gel containing ethidium bromide and the fragments, and visualized by the UV transilluminator. To control the quality of genotyping, negative control was performed in each genotyping assay. As a result, for rs1800247 polymorphism, the homozygous HH genotype yielded 253bp products, heterozygous Hh genotype yielded 253bp and 232bp product, whereas homozygous hh allele yielded a 232bp product (Fig. 1). For rs1543297 polymorphism, homozygous wild-type CC genotype yielded 502bp products, heterozygous CT genotype yielded 502bp, 330bp, and 172bp whereas homozygous mutant TT genotype yielded 330bp and 172bp products (Fig. 2).
Lanes M: DNA Marker; Lanes 1, 5, 6, 9, and 10 show Hh genotype; Lanes 2, 3, 4, 7, and 11 show hh genotype; lane 8 shows HH genotype.
Lanes M: DNA Marker; Lanes 1, 2 and 9 show CC genotype; lane 5, 6, and 10 shows CT genotype; Lanes 3, 4, 7 and 8 show TT genotype.
DNA sequencing
To confirm the accuracy of genotyping by PCR-RFLP, we selected 50 DNA samples (about 10%) at random and subjected them to direct DNA sequencing of PCR products with an ABI Prism 3100 (Applied Biosystems) in Shanghai Sangon Biological Engineering Technology & Services Co., Ltd., China. The results of DNA sequencing were 100% concordant (S1 Fig. and S2 Fig.).
Serum osteocalcin determination
When blood samples were obtained, the serum was allowed to clot for 30 min at 4°C before centrifugation at 3000 rpm for 10 min at 4°C. Total serum was isolated and stored at −20°C until use. Total serum osteocalcin levels were with electrochemiluminescence immunoassay on COBAS 6000 system E601 (Elecsys module) immunoassay analyzer (Roche Diagnostics, GmbH, Mannheim, Germany) with the same batch of reagents. The intra- and interassay coefficients of variation were 3.8% and 4.5%, respectively.
Statistical analysis
Normally distributed variables were presented as means and standard deviations (SD), whereas skewed variables were presented as median and interquartile range (IQR). One-way ANOVA was used to assess between-group variance of normally distributed variables. The Kruskal-Wallis test was used to compare skewed variables among the groups, and if significant, followed by Student-Newman-Keuls two-paired analyses. Frequency among the groups was compared using the χ2 test or Fisher’s exact test when appropriate. The genotype frequencies for the osteocalcin gene polymorphisms against Hardy-Weinberg ratios were assessed using the goodness of fit χ2-test. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by binary logistic regression to assess the risk conferred by a particular allele and genotype by adjusted for gender, age, smoking, and drinking status. Haplotype analyses were performed using SHEsis software [32]. To elucidate the interaction of genotypes on osteocalcin serum levels, the data were analyzed by two-way analysis of variance for independent samples. All of the statistical analyses were performed in the Statistical Package for Social Sciences (SPSS, version 13.0). Statistical significance was assumed at two-sided values of P <0.05 level.
Results
Characteristics of the study population
The characteristics of the cases and the control subjects are shown in Table 1. The mean ages (SD) of the control group, CHB, LC and HCC group were 47.68±11.76, 47.75±11.59, 47.37±9.64, and 49.19±11.33, respectively. There were no significant differences for mean age, sex, smoking status, and alcohol consumption status between groups, which suggested the cases’ data are comparable with the controls’ (all P >0.05). In addition, we also did not found any factors, such as the endocrine condition and serum calcium concentration that significant influence the assessment of serum osteocalcin concentration in our included subjects, Furthermore, a Hardy–Weinberg equilibrium (HWE) test was performed for both investigated SNPs. The distribution of the rs1800247 and rs1543297 SNPs among controls was consistent with the Hardy-Weinberg equilibrium (P = 0.370 and 0.573, respectively)
CHB patients versus healthy controls
The genotype and allele distributions of the rs1800247 and rs1543297 sites in the osteocalcin gene among the CHB cases and control subjects are described in Table 2. The frequencies of the hh, Hh, and HH genotypes of rs1800247 were 48.8%, 44.1%, and 7.1% in healthy controls, and were 46.5%, 45.0%, and 8.5% in CHB patients, respectively. The frequencies of the CC, CT and TT genotypes of rs1543297 were 12.9%, 48.8%, and 38.3% in healthy controls, and were 8.5%, 48.8%, and 43.0% in CHB patients, respectively. Binary logistic regression analyses adjusted for age, sex, smoking status, and alcohol consumption showed no significant differences between the genotype and allele frequencies of rs1800247 and rs1543297 polymorphisms and CHB risk, even after stratification of the study groups by gender. Haplotype analyses were performed in CHB patients and healthy controls using the SHEsis software and the possible two haplotype frequencies were observed. There were also no significant differences in the haplotype frequencies of the osteocalcin gene between this two study groups.
HBV-related LC patients versus healthy controls
The genotype and allele frequencies of the rs1800247 and rs1543297 sites in the osteocalcin gene among the HBV-related LC patients and healthy controls are shown in Table 3. Overall, we also did not found any significant differences of genotype and allele frequencies in rs1800247 and rs1543297 sites between HBV-related LC and control groups after adjusted for age, sex, smoking and drinking in binary logistic regression analyses. However, after stratification of the study groups by gender, we detected a statistically significant association of the rs1800247 polymorphic Hh genotype and HBV-LC risk (OR = 9.611, 95% CI 1.236–74.756, P = 0.031) compared with the hh genotype in females. Under the dominant model, the combined genotype HH + Hh appeared to have higher susceptibility to HBV-LC in females (OR = 7.731, 95% CI 1.085–55.114, p = 0.041). The haplotypes were not associated with risk of HBV-LC.
HBV-related HCC patients versus healthy controls
The genotype and allele frequencies of the rs1800247 and rs1543297 sites in the osteocalcin gene among the HBV-related HCC patients and healthy controls are shown in Table 4. In the binary logistic regression analyses, the rs1800247 Hh and HH genotypes were associated with a significantly increased risk of HCC compared with the hh genotype (OR = 6.306, 95% CI 3.480–11.423, P < 0.001 and OR = 6.828, 95% CI 2.620–17.795, P< 0.001). The data also revealed that subjects with the H allele appeared to have more than a 2.4-fold increased risk for the development of HCC compared with those bearing the h allele (OR = 2.484, 95% CI 1.747–3.532, P< 0.001). Under the dominant model, the combined genotype HH + Hh appeared to have higher susceptibility to HCC (OR = 6.403, 95% CI 3.570–11.483, P< 0.001). The data also revealed that the rs1543297 polymorphisms were not associated with HCC risk.
After stratification of the study groups by gender, the date showed that the rs1800247 Hh, HH genotypes and H allele were all associated with a significantly increased risk of HCC compared with the hh genotype in males. However, in female subjects, comparing with the hh genotype, the Hh genotype was significantly related to an increased risk of HCC after adjusted by age, sex, smoking and drinking status using binary logistic regression analyses (OR = 13.718, 95% CI 2.248–83.719, P = 0.005), but no significant differences were found in the HH genotype and H allele. Regarding the rs1543297 SNP, we also found no significant differences of the genotype and allele frequencies between HCC patients and controls in both female and male subjects.
The genotypes and alleles frequencies of the SNPs in our control group were compared with those from different races the Haplotype Map (HapMap) Project (http://www.ncbi.nlm.nih.gov/snp/). There was lack of Hapmap data of the SNP rs1800247. Thus, we only compared gene frequencies of controls for rs1543297 with those from the Hapmap database (S1 Table). The data suggests that the distribution of the SNP rs11549465 among the healthy controls in the present study was similar to that in HCB (Han Chinese in Beijing), JPT (Japanese in Tokyo), and YRI (Yoruba in Ibadan) populations, but was significantly different from that in CEU (Utah residents with northern and western European ancestry) population. For the rs1543297 polymorphism, the frequencies of genotype CC (63.7%) and allele C (80.5%) in CEU population are significantly higher than those (genotype CC: 12.9%, allele C 37.3%) in our present study.
Serum osteocalcin levels
Serum samples were available for 57controls, 83 CHB cases, 49 LC cases, and 125 cases. Osteocalcin values showed a markedly skewed distribution, thus the mean osteocalcin values were expressed as the median ± inter-quartile range (Table 5). The mean serum osteocalcin concentration in healthy controls, CHB patients, LC patients, and HCC patients was 15.3±6.06 ng/mL, 13.3±8.38 ng/mL, 14.57±9.53 ng/mL, and 11.73±8.180 ng/mL, respectively. The normal reference interval of osteocalcin levels in healthy Chinese are 12.49–43.94 ng/mL [33]. The serum osteocalcin levels of the controls in our study were within the normal reference range of osteocalcin levels in healthy Chinese. There were significant differences in serum osteocalcin levels among groups using the Kruskal-Wallis test (p < 0.001). And then, two paired analyses were performed by Student-Newman-Keuls test. The data revealed that serum osteocalcin concentration was significant decreased in HBV-related HCC patients when compared with the healthy controls, CHB patients, and LC patients. But there was no significant difference of serum osteocalcin concentration between LC patients and healthy controls.
Association of osteocalcin gene polymorphisms and osteocalcin levels
As shown in Table 5, we found no significant association between the osteocalcin gene rs1800247 and rs1543297 polymorphisms and serum osteocalcin levels in healthy controls, CHB patients, HBV-related LC patients, as well as HCC patients group (P> 0.05). However, when compared difference of serum osteocalcin levels in these four groups subjects among the individuals with same genotype, it demonstrated that the serum osteocalcin levels were significantly lower in HCC patients than healthy controls among the individuals with heterozygous Hh genotype (P = 0.003) and CT genotype (P<0.001 ).
Discussion
In the present study, we perform a large case-control study in a Chinese population to investigate whether osteocalcin gene polymorphisms are associated with the occurrence of CHB, HBV-related LC, and HBV-related HCC. In addition, we also examine whether the osteocalcin gene polymorphisms correlate with serum total osteocalcin levels. To the best of our knowledge, this is the first study conducted on the association between the osteocalcin gene polymorphisms, serum osteocalcin levels and the susceptibility to HBV-related disease patients. The present results revealed that the HH and Hh genotypes of the rs1800247 (HindIII) site in the osteocalcin gene were associated with a significantly increased susceptibility to HBV-related HCC compared with the hh genotype after adjustment for age, sex, smoking status, and alcohol consumption (OR = 6.828, 95% CI 2.620–17.795, P< 0.001; OR = 6.306, 95% CI 3.480–11.423, P< 0.001, respectively). Similarly, the subjects bearing the H allele of rs1800247 polymorphism also had more than 2.4-fold (OR = 2.484, 95% CI 1.747–3.532) increased risk for the development of HCC compared with those bearing the h allele. Further classifying the subjects into subgroups based on gender, the direction and magnitude of risk did not change. However, in this study, genotype and allele frequencies of rs1543297 polymorphism and haplotypes of the osteocalcin gene in HBV-related patients were not significantly different from those in healthy controls. Furthermore, we found that the serum osteocalcin levels of patients with HBV-related HCC were significantly lower than in the overall healthy control subjects, and in the individuals with heterozygous Hh genotype (P = 0.003) and CT genotype (P<0.001). These results indicated that the osteocalcin gene rs1800247 polymorphism might serve as a candidate genetic marker for screening for HBV-related HCC.
Osteocalcin is synthesized by mature osteoblasts and regulated by vitamin D and parathyroid hormone. It is a biomarker for bone-formation activity [34], and serum osteocalcin also can be considered a marker of bone turnover [35]. Osteocalcin is also related to bone resorption and may change blood levels of calcium ions [36]. Therefore, it seems reasonable to hypothesis that osteocalcin might correlate with cancer progression. Osteocalcin gene is located at chromosome 1q25-q31. Genetic polymorphisms in the osteocalcin gene may affect osteocalcin production or protein expression, thus modulate cancer risk. The HindIII marker represents a C→T transition in the promotor region of the osteocalcin gene and is of potential functional importance in the regulation of the osteocalcin gene expression [15]. Recently, the studies related the positive roles of osteocalcin on cancer mainly focus on prostate and breast cancer [20–22, 27, 37, 38]. In this study, we tested the association between the osteocalcin gene polymorphism and HBV-related liver diseases in 512 Chinese subjects. Our results may provide support for the importance of osteocalcin in the pathogenesis of HBV-related HCC. However, the exact mechanism as to how osteocalcin polymorphisms affect HCC risk is still unknown, thus our findings need to be confirmed by further larger studies, in which the mechanisms underlying this association also should be directed.
In the present study, we observed that the rs1800247 HH genotype and H allele in osteocalcin gene were associated with a significantly increased risk of HCC compared with the hh genotype in male subjects but not in female subjects. The difference between male and female in our analyses was unexpected and difficult to explain. One of the potential explanations may be the result of the larger total number of subjects in the male HCC group (n = 135) than in the female HCC group (n = 19). With a larger sample size, increased statistical power could be obtained. Therefore, a great confusion has arisen regarding the sex difference in HCC response to rs1800247 polymorphism, and these findings need to be confirmed by further larger studies.
In this study, we found that the serum osteocalcin levels were significantly lower in HBV-related HCC patients compared with the healthy controls, CHB patients, and LC patients. The results of our study suggest that a depressed osteocalcin response might play a role in HBV-related HCC etiology. In addition, we demonstrated that the serum osteocalcin levels were significantly reduced in HCC patients than healthy controls among individuals with rs1800247 heterozygous Hh genotypes. Our results suggested that the osteocalcin gene polymorphism may contribute to an increased HBV-related HCC risk through regulate the expression of serum osteocalcin levels. But the mechanisms underlying the antitumor activity of osteocalcin are not clearly understood. Further studies are needed to direct the molecular mechanisms by which osteocalcin is involved in susceptibility to HBV-related HCC.
However, several potential limitations of this study must be acknowledged. First, our patient sample size was not large enough. Our data may be of limited value and therefore, an additional study with more subjects is expected. Second, our included subjects were recruited from only one hospital in Guangxi and were limited to only one ethnic population. Our results may not be generalized to other populations and not be well representative of the entire target population. However, we have tried our best to reduce the selection bias to the lowest possible level by matching the age, gender, smoking and drinking status between the cases and controls. Third, our research investigated only two SNPs polymorphisms in the osteocalcin gene. It would be interesting to identify more SNPs polymorphisms in the osteocalcin gene and study their correlations with HBV-related HCC. Thus, the results of this research must be interpreted cautiously in light of the limitations.
In conclusion, our results identify that the HindIII (rs1800247) SNP variant in osteocalcin gene is associated with significantly increased susceptibility to HBV-related HCC in Guangxi Chinese populations. In addition, we found an inverse association between osteocalcin levels and HBV-related HCC. These results may provide support for the importance of osteocalcin gene in the pathogenesis of HBV-related HCC.
Supporting Information
S1 Fig. Sequencing map of the genotypes for the rs1800247 polymorphisms of the osteocalcin gene.
Arrow in parts a–c indicates (hh) CC, (Hh) CT and (HH) TT genotypes, respectively.
https://doi.org/10.1371/journal.pone.0116479.s001
(TIF)
S2 Fig. Sequencing map of the genotypes for the rs1543297 polymorphisms of the osteocalcin gene.
Arrow in parts a–c indicates CC, CT and TT genotypes, respectively.
https://doi.org/10.1371/journal.pone.0116479.s002
(TIF)
S1 Table. Comparison of genotype and allele frequencies in the healthy control subjects of our study and that from the HapMap project.
https://doi.org/10.1371/journal.pone.0116479.s003
(DOCX)
Acknowledgments
We thank Scribendi.com for its linguistic assistance during the preparation of this manuscript.
Author Contributions
Conceived and designed the experiments: SL XQ. Performed the experiments: Y. Liu LH. Analyzed the data: Y. Liu LH Y. Lu. Contributed reagents/materials/analysis tools: XLH XX QL XH. Wrote the paper: YL.
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