Literature DB >> 21455501

Genetic variants on chromosome 8q24 and colorectal neoplasia risk: a case-control study in China and a meta-analysis of the published literature.

Mian Li1, Yanhong Zhou, Peizhan Chen, Huan Yang, Xiaoyan Yuan, Kazuo Tajima, Jia Cao, Hui Wang.   

Abstract

Previous studies have found that common genetic variants on chromosome 8q24 are associated with the risk of developing colorectal neoplasia. We conducted a hospital-based case-control study, including 435 cases and 788 unrelated controls to investigate the associations between common variants on 8q24 and the risk of colorectal cancer in a Chinese population. We also evaluated the association of rs6983267 with colorectal neoplasia in the published literature via a meta-analysis study. We found that rs6983267 was significantly associated with the risk of colorectal cancer in the Chinese population, with an adjusted odds-ratio (OR) for the GT heterozygotes and GG homozygotes of 1.30 (95% CI= 0.98-1.71, P = 0.069) and 1.66 (95% CI = 1.18-2.34, P = 0.004), respectively, compared to the TT homozygotes, with a P-trend value of 0.003. No association was found for the other three loci (rs16901979, rs1447295 and rs7837688). In the meta-analysis of the published genetic association studies, the rs6983267 variant was found to be associated with an increased risk of colorectal neoplasia. The heterozygous GT carriers showed a 20% increased risk of colorectal neoplasia (OR= 1.20, 95% CI= 1.16-1.25; random effects model) with a summary OR for homozygous GG carriers of 1.39 (95% CI= 1.32-1.48; random effects model) compared to the TT genotype carriers. We found no significant differences between the association of rs6983267 and colorectal cancer and colorectal adenomas. In summary, our study confirms that the variant rs6983267 is a risk factor for colorectal neoplasia in various populations, including the Chinese population.

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Year:  2011        PMID: 21455501      PMCID: PMC3063839          DOI: 10.1371/journal.pone.0018251

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Colorectal cancer (CRC) is the third most common cancer and the fourth most frequent cause of cancer death worldwide [1]. The lifetime risk in Western European and North American populations is around 5% [2]. Among the risk factors and causes for CRC, inherited genetic factors account for approximately 35% of the disease etiology [2]. Many genetic factors, such as mutations of critical genes (e.g. APC, MLH1, MSH2, TGFBR2 and SMAD4) have been identified [3]. However, many factors that increase the susceptibility to CRC, but with low penetrance need to be explored. In the past few years, several genome-wide association studies (GWAS) have identified novel loci that are associated with CRC risk, such as variants on 11q23 [2], 8q24 [4], [5], [6], 10p14 [7], 8q23.3 [7], 15q13.3 (HMPS) [8] and SMAD7 [9]. However, the extent to which these genetic factors contribute to the disease has not been established. Among these loci, variants on 8q24 have shown strong evidence of an association with the risk of CRC in different populations. Haiman et al genotyped six variants in 1,124 individuals with invasive CRC and 4,573 controls that had been previously identified as having an underlying risk for prostate cancer due to alterations on 8q24 [10] and found that one variant, rs6983267, was also significantly associated with colorectal cancer [4]. Similarly, Tomlinson et al conducted a genome-wide association study of 550,000 tag SNPs in 930 familial colorectal cancer patients and 960 controls and found that rs6983267 had the strongest association with CRC risk [5]. Analyses based on 1,477 individuals with colorectal adenoma and 2,136 controls suggested the possibility that this locus is involved in tumor initiation rather than progression [5]. SNP rs10505477, which maps about 5.86 kb centromeric to rs6983267 and has a high linkage disequilibrium with rs6983267, was also found to be associated with CRC risk, and has been implicated across many cohort and case-control studies [5], [11], [12], [13]. It has also been reported that five different haplotype blocks at the 8q24 region have been identified, and only those loci located between the 128.47 Mb and the 128.54 Mb region (e.g. rs6983267, rs10808556 and rs10505477) were associated with CRC risk. The variations in the other regions were found to be associated with prostate, breast and ovarian cancers [14]. The constantly improving standard of living in China has brought about extensive changes to the lifestyle and diet of the average Chinese citizen over the past three decades, and has led to a corresponding increase in the incidence and mortality of CRC in China [15]. The steady increase in the incidence and mortality of CRC has made the disease one of the leading causes of death in China. However, few studies have examined the genetic factors that influence the risk of CRC in the Chinese population. We herein report the results of a case-control study that we performed to investigate the allelic variants on 8q24 and their effect on CRC risk in a Chinese population. To further investigate the association of variant rs6983267 with the CRC risk, a systemic review of the literature published about the locus was undertaken, and a meta-analysis was conducted.

Materials and Methods

Study populations

Most of the participants in the study have been described previously [16]. In brief, a total of 478 CRC patients and 838 controls aged between 30 and 80 years old were enrolled between 2001 and 2003 from three hospitals (Xi'nan Hospital, Xinqiao Hospital and Daping Hospital) in Chongqing, China. The subjects were genetically unrelated ethnic Han Chinese from Chongqing and the surrounding regions served by these hospitals, including parts of Sichuan, Yunnan and Guizhou provinces in southwest China, which are adjacent to Chongqing. The recruitment followed the Japan, Korea and China Colorectal Cancer Collaboration Group guidelines. All patients had been histopathologically diagnosed with primary CRC within the past 6 months, and had not received any treatment. The medical records of the patients were thoroughly checked and for those who were suffering from ileocecal junction tumors or anal canal tumors and those with any of the following conditions: i. recurrence of CRC; ii. familial adenomatous polyposis (FAP); iii. hereditary nonpolyposis colorectal cancer (HNPCC); iv. other tumors; v. severe digestive tract diseases lasting over 2 years; vi. diabetes, fatty liver, hepatic cirrhosis, metabolic syndrome or severe cardiovascular diseases were excluded from the study. One or two controls matched to each eligible case based on age (±5 years), sex and residence were selected. The controls were recruited from non-CRC patients seen in the Departments of General Surgery, Orthopedics or Trauma who were admitted for trauma, bone fractures, appendicitis, arthritis, or varicose veins. Patients with tumors, severe digestive tract diseases lasting over 2 years, diabetes, fatty liver, hepatic cirrhosis, metabolic syndrome or severe cardiovascular diseases were also excluded from the control group. A 5-mL peripheral venous blood sample was obtained from each subject after written informed consent was obtained. Each participant was personally interviewed by trained interviewers to complete a Semi-quantitative Food Frequency Questionnaire (SQFFQ), which collected demographic information and information about dietary, and smoking habits (current smoker, former or never smoker), alcohol use (more or less than 15 g/day, according to the recommended level of daily alcohol consumption suggested by the China Health Care Association) and other lifestyle factors [16]. After quality control procedures were completed for both SQFFQ and DNA samples, a total of 435 patients and 788 controls of Han ethnicity were finally included in the study.

Ethics statement

The study was approved by all of the ethics committees of the participating hospitals (“Ethics Committee of Xi'nan Hosipital”, “Ethics Committee of Xinqiao Hosipital” and “Ethics Committee of Daping Hosipital”). All of the samples were collected with a written informed consent provided by the participants, and all protocols were approved by the human research ethics committees of the participating hospitals.

Selection of SNPs on 8q24

Genome-wide association studies and gene-based candidate studies have confirmed that chromosome 8q24 is a susceptibility region for CRC. It has also been shown that specific loci on 8q24 are associated with specific cancers [14]. Among these loci are two SNPs, rs6983267 and rs10505477, which were separately found to be associated with CRC risk [5], [17]. These two SNPs are in high linkage disequilibrium (LD) in the Chinese population (r2 = 0.95) according to the Hapmap database, and they were also found to be associated with an increased risk of prostate, breast and ovarian cancers in many population studies [4], [18], [19]. We chose to further study the association of rs6983267 with colorectal cancer in the Chinese population. Another 3 SNPs, rs16901979, rs1447295 and rs7837688, which were previously found to be associated with prostate cancer, were also selected to evaluate their association with colorectal cancer risk in the Chinese population [14], [20].

DNA isolation and genotyping

Genomic DNA was extracted from 2.5-mL of whole blood with a Promega DNA Purification Wizard kit according to the manufacturer's instructions. The genotyping methods have been reported previously [16]. Three SNPs (rs16901979, rs1447295 and rs7837688) were genotyped using the Applied Biosystems SNPLex system (Applied Biosystems Incorporated, California, USA) together with 45 other loci including previously reported loci on CYP2E1 [16]. Loci were submitted online to ABI Inc for probe design and synthesis. The OLA (oligonucleotide ligation assay), purification, and PCR reactions were performed on an Eppendorf 5333 Mastercycler, and allele inspection was performed on an ABI 3130xl Gene Analyzer. The SNP information was collected using Data Collection Software version 3.0, and data were analyzed by the GeneMapper Software version 4.0. Another locus (rs6983267) was genotyped using a TaqMan® SNP Genotyping Assay (Applied Biosystems Incorporated, California, USA) on a 7900HT Fast Real-Time PCR System (Applied Biosystems Incorporated, California, USA). A total of 10% of the samples were randomly selected for duplication for these loci to assess the reproducibility of the genotyping calls and a more than 99% concordance rate was found.

Meta-analysis of the rs6983267 locus in subjects with colorectal neoplasia

In order to explore the association between rs6983267 and the risk of colorectal neoplasia, a meta-analysis was conducted. We performed a comprehensive and systematic bibliographic search updated to February of 2011 based on the MEDLINE and PubMed databases. We used the terms “8q24” and “rs6983267” in combination with “colorectal neoplasia”, “colorectal cancer” or “colorectal adenoma” to search the database to identify the studies regarding the association between the rs6983267 polymorphism and the risk of colorectal cancer. References were also checked to identify any missing studies. The details of the studies were thoroughly examined in order to exclude potentially overlapping data. If the same participants were used in different papers, only the largest and most complete study was included here. The studies included were those that provided data about rs6983267 and the risk of colorectal cancer or colorectal adenomas and could be case-control, cohort or cross-sectional studies that were reported in English. The studies included should also provide sufficient data about the frequency of the genotypes. Individual authors were also contacted for further data when the criteria were not met. The flow chart that tracks the selection process for the studies and the reasons for exclusion is presented in Figure 1.
Figure 1

The flow chart for the selection of studies and specific reasons for exclusion of studies from the meta-analysis.

For each study, the following information was recorded: first author, publication year, study design, study location, study population/ethnicity, total number and sources of cases and controls, sub-group and disease categories, total number of cases and controls, and the allele frequency in the study. When there were sub-group studies described in the paper (such as those stratified by ethnicity, study stage, etc), they were considered individually. Pooled allelic effects were estimated both under a fixed effects model and a random effects model, and the pooled OR with its 95% CIs was used as the summary measurement.

Statistical analysis

The prevalence of each of the alleles was measured in cases and controls. The χ2 test (for categorical variables) and Student's t-test (for continuous variables) were used to evaluate the differences in demographic characteristics and selected variables. Hardy-Weinberg Equilibrium (HWE) was assessed by the χ2 test (1 degree of freedom (d.f)). The common homozygote was used as the reference to calculate the genotype-specific odds ratio (OR) and its 95% confidence intervals (CI) with or without adjustment for age, sex, smoking status and alcohol use under the unconditional Logistic regression statistic model. The statistical powers of the study were calculated using the Power software under the assuming of two sided test with alpha level is 0.05 with the log-additive genetic model [21], [22]. For meta-analysis, the pooled OR and its 95% CI were calculated using the standard inverse variance weighting method for the fixed effects model and the DerSimonian-Laird method for the random-effects model. Heterogeneity between studies was assessed using the Cochrane Q-test in combination with the I2 statistic. Publication bias was graphically represented by funnel plotting and was assessed both by Egger's linear regression [23] and Begg's rank correlation tests [24]. Statistical analyses were undertaken using the R Software with the SNPassoc and Meta packages (http://www.r-project.org/).

Results

The characteristics of cases and controls are given in Table 1. There were more patients with a daily average alcohol intake of more than 15 g/day (P = 0.011) in the neoplasia patients, as has been indicated previously [15]. In addition, the cases were slightly older than the controls (P = 0.017). Other potential confounders were not significantly different between the cases and controls (Table 1). The genotyping results of the selected SNPs in the CRC cases and controls are shown in Table 2. The overall call rate of each SNP was more than 98%, and no SNP deviated from Hardy-Weinberg equilibrium (P>0.05, Table 2).
Table 1

The characteristics of the participants from a Chinese population.

VarianceControls (N = 788)Cases (N = 435)P-value
Age (years)a 51.73±11.2953.49±12.880.017
Sex0.972
female351 (44.5%)195 (44.8%)
male437 (55.5%)240 (55.2%)
Smoking status0.547
former and never488 (61.9%)261 (60.0%)
current300 (38.1%)174 (40.0%)
Alcohol use (>15 g/day)0.011
yes152 (19.3%)112 (25.7%)
no636 (80.7%)323 (74.3%)

Age was presented as the mean ± SD (years).

Table 2

An association study of 8q24 loci and colorectal cancer risk.

SNPGenotypeControls(N %)Cases(N %)Crude OR(95% CI)Adjusted ORa(95% CI)P valuea P-trenda Call rateHWE-testP-value
rs16901979CC403 (51.5)219 (50.7)1199.3%0.66
AC321 (41.0)171 (39.6)0.98 (0.76–1.26)0.95 (0.74–1.22)0.706
AA58 (7.4)42 (9.7)1.33 (0.87–2.05)1.30 (0.84–2.00)0.2430.550
rs6983267TT256 (32.6)111 (25.8)1199.4%0.61
GT392 (49.9)219 (50.9)1.29 (0.98–1.70)1.30 (0.98–1.71)0.069
GG138 (17.6)100 (23.3) 1.67 (1.19–2.35) 1.66 (1.18–2.34) 0.004 0.003
rs1447295CC567 (72.5)294 (67.9)1199.3%0.39
AC202 (25.8)127 (29.3)1.21 (0.93–1.58)1.22 (0.94–1.59)0.140
AA13 (1.7)12 (2.8)1.78 (0.80–3.95)1.73 (0.78–3.87)0.1800.062
rs7837688GG587 (75.8)308 (71.0)1198.8%1.00
TG175 (22.6)117 (27.0)1.27 (0.97–1.67)1.26 (0.95–1.65)0.103
TT12 (1.6)9 (2.1)1.43 (0.60–3.43)1.38 (0.57–3.32)0.4790.089

Adjusted for age, sex, alcohol use and smoking status.

Age was presented as the mean ± SD (years). Adjusted for age, sex, alcohol use and smoking status. Statistically significant associations were obtained only for the previously reported SNP rs6983267 (Table 2). Compared to the TT homozygotes, the GT heterozygotes showed a marginally increased risk of colorectal cancer (adjusted OR = 1.30, 95% CI = 0.98–1.71; P = 0.069). However, the GG homozygotes showed a significant, 66% increased risk of colorectal cancer (adjusted OR = 1.66, 95% CI = 1.18–2.34; P = 0.004). The locus was also found to be associated with a gene-dose response relationship for an increased risk for CRC (P-trend = 0.003). The statistical power for the association of SNP rs6983267 and CCR in our study was 0.839 for the observed OR. We found no statistically significant interactions between rs6983267 and age, sex, smoking status or alcohol use. No other locus was found to be significantly associated with the CRC risk (Table 2). However, the statistical powers for the three loci were relatively lower (0.290 for rs16901979, 0.702 for 1447295 and 0.316 for rs7837688 for the observed ORs). For the meta-analysis regarding the association between colorectal cancer risk and the variant rs6983267, we identified twenty-three reports regarding the association between rs6983267 and colorectal neoplasia. After detailed evaluation, sixteen studies including a total of 36,761 cases and 38,901 controls were used for the meta-analysis (Table 3) [5], [11], [12], [13], [19], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34]. Four studies lacked sufficient data about the genotype frequency [4], [14], [35], [36] and three studies contained overlapping participants with the included reports [37], [38], [39], and were therefore excluded from the analysis (Figure 1). For rs6983267, the summary odds ratio (SOR) was 1.20 (95% = 1.16–1.25) under the fixed effects model and the random effects model for the GT heterozygotes compared to the TT homozygotes (Figure 2). There was no significant heterogeneity between the studies (Q = 21.77, df = 29, P = 0.829; I2 = 0%), and no evidence of a significant publication bias was found (Begg's test, P = 0.630; Egger's test, P = 0.465). For the GG homozygotes, we noted that there was a significant increase in colorectal neoplasia, with the SOR of 1.40 (95% CI = 1.33–1.46) under the fixed effects model and 1.39 (95% CI  = 1.32–1.48) under the random effects model compared to the TT carriers (Figure 3). However, significant heterogeneity was found among these studies (Q = 43.39, df = 29, P = 0.042; I2 = 33.2%). However, there still no significant publication bias (Begg's test, P = 0.762; Egger's test, P = 0.783). Sensitivity analyses were also performed by removing the individual studies sequentially, and we found that none individual studies dramatically affected the overall polled ORs.
Table 3

Studies included in the meta-analysis of the association of rs6983267 with colorectal neoplasia.

Study(First author, year)Country and ethnicityStudy designSub-group study and disease categoryCasesControlsRef
Tomlinson, 2007UK, CaucasianPopulation based case-controlCORGI, cancer620960 [5]
UK, CaucasianPopulation based case-controlCORGI, adenomas407
UK, CaucasianNested case-controlNSCCG, cancer43613752
UK, CaucasianNested case-controlNSCCG, cancer19011079
UK, CaucasianNested case-controlVICTOR, cancer1072415
UK, CaucasianNested case-controlUKCAP, adenomas607765
UK, CaucasianPopulation based case-controlFlexiScope, adenomas463411
Poynter, 2007USA and Canada, Mixed ethnicPopulation based case-controlCancer13392191 [11]
USA and Canada, Mixed ethnicHospital based case-controlCancer288502
Berndt, 2008USA, CaucasianNested case-controlAdenomas25692779 [12]
USA, Mixed ethnicNested case-controlAdenomas151194
USA, CaucasianNested case-controlCancer5381644
USA, Mixed ethnicNested case-controlCancer71165
Tuupanen, 2008Finland, CaucasianPopulation based case-controlCancer9961012 [13]
Wokolorczyk, 2008Poland, CaucasianHospital based case-controlCancer7791910 [19]
Li, 2008USA, CaucasianPopulation based case-controlCancer527679 [25]
USA, Mixed ethnicPopulation based case-controlCancer3442
Curtin, 2009UK and USA, CaucasianPopulation based case-controlCancer10691040 [26]
Matsuo, 2009Japan, JapaneseHospital based case-controlCancer481962 [27]
Schafmayer, 2009Germany, CaucasianPopulation based case-controlCancer27122713 [28]
Middeldorp, 2009Netherlands, CaucasianPopulation based case-controlCancer9951340 [29]
Kupfer, 2009USA, African AmericanHospital based case-controlCancer17952378 [30]
USA, CaucasianHospital based case-controlCancer399367
Holst, 2010Sweden, CaucasianPopulation based case-controlCancer17861749 [31]
Xiong, 2010China, Chinese HanHospital based case-controlCancer21242124 [32]
Hutter, 2010USA, CaucasianPopulation based case-controlCancer14611813 [33]
USA, CaucasianNested case-controlCancer614633
Cui, 2011Japan, JapanesePopulation based case-controlScreening stage, cancer15831898 [34]
Japan, JapanesePopulation based case-controlReplication 1,cancer30991777
Japan, JapanesePopulation based case-controlReplication 2, cancer1485819
Li, 2011China, Chinese HanHospital based case-controlCancer435788
Figure 2

A forest plot of the association of colorectal neoplasia with rs6983267 heterozygosity (G/T vs. T/T).

Figure 3

A forest plot of the association of colorectal neoplasia with rs6983267 homozygosity (G/G vs. T/T).

To determine whether the association between variant rs6983267 and colorectal neoplasia could differ for colorectal adenomas and colorectal cancer, we examined the association between the variant and colorectal cancer and the variant and colorectal adenomas. Among the fourteen identified reports, two examined the association between the variant and colorectal adenomas, with a total of 4,197 cases and 5,109 controls [5], [12]. All of the reports studied the association between rs6983267 and colorectal cancer, with a pool of 32,564 total cases and 34,752 controls. From the meta-analysis, we found that the SORs for GT heterozygotes and GG homozygotes compared to the TT homozygotes were similar in magnitude to those found for colorectal adenomas and total colorectal cancer (Table 4). In the subgroup analysis by ethnicity, we found that the variant rs6983267 was associated with an increased risk of colorectal neoplasia both in the Asian populations (9,207 cases and 8,368 controls) and the Caucasians (23,818 cases and 25,021 controls), although there was a slight different of the pooled OR between the Asian populations and for the Caucasians (Table 4).
Table 4

The results of the meta-analysis of the association of rs6983267 with colorectal neoplasia.

CategoryGenotype(Cases/Controls)Fixed effects modelRandom effects modelQ value/dfP value for Q testI2 P value of Begg's testP value of Egger's test
DiseaseNeoplasiaTT (8,334/10,088)11
GT (17,583/18,400)1.20 (1.16–1.25)1.20 (1.16–1.25)21.77/290.8290%0.6300.465
GG (10,770/10,372)1.40 (1.33–1.46)1.39 (1.32–1.48)43.39/290.04233.2%0.7620.783
Adenomas onlyTT (862/1,253)11
GT (2,110/2,538)1.20 (1.08–1.34)1.21 (1.04–1.41)6.10/40.19234.4%1.0000.868
GG (1,225/1,318)1.36 (1.21–1.53)1.32 (1.00–1.74)15.09/40.00573.5%0.6240.712
Carcinomas onlyTT (7,537/9,024)11
GT (15,471/16,335)1.20 (1.15–1.25)1.20 (1.15–1.25)16.09/250.9120%0.8430.647
GG (9,478/9,356)1.41 (1.34–1.48)1.41 (1.33–1.49)31.46/250.17420.5%0.7080.584
Ethnic groupCaucasianTT (4,670/6,041)11
GT (11,953/12,566)1.21 (1.16–1.27)1.21 (1.16–1.27)11.24/170.8440%0.7910.591
GG (7,195/6,414)1.42 (1.35–1.49)1.42 (1.35–1.49)16.37/170.4980%0.6770.745
AsianTT (3,276/3,338)11
GT (4,382/3,898)1.18 (1.10–1.26)1.18 (1.10–1.26)1.46/50.9180%0.5730.371
GG (1,533/1,131)1.45 (1.32–1.59)1.48 (1.28–1.70)10.66/50.05953.1%0.5730.369

Discussion

Variants on 8q24 (position 128.14 Mb to 128.62 Mb) were found to be associated with various types of cancer. It was reported by Ghoussaini et al that there are five different haplotype blocks within this region. The rs6983267 locus and its highly correlated locus, rs10505477 (r2 = 0.95 in CHB population for Hapmap database), which are located between a 128.47 and 128.54 Mb region, have been found to be associated with prostate, colorectal and ovarian cancers [14]. Loci outside this region were also found to be associated with prostate or breast cancers, but not colorectal cancer [14]. Our study also found a significant association between rs6983267 and colorectal cancer in the Chinese population. However, no significant association for the other three loci, which are located outside the 128.47 and 128.54 Mb region, was identified in the Chinese population. As indicated in our previous study and in other studies, alcohol use is a risk factor for colorectal cancer. In the stratification analysis, we found a trend toward a stronger association in the participants without a drinking habit (<15 g/d), however, we found no statistically significant interactions between the variant rs6983267 and alcohol use. We also did not find any significant interactions between rs6983267 CRC risk and other potential confounders. These findings were consistent with other studies indicating that the association between rs6983267 and colorectal cancer may not modified by the age at diagnosis [11], [12], [25], [27], sex [12], [25], [27], family history of CRC [11], [12], [25], [27], smoking status [27], or alcohol use [27]. However, the current study is a hospital based case-control study and the number of participants was relatively small, which may have led to spurious results. Whether the association between rs6983267 and colorectal neoplasia was affected by the confounders needs further investigation. In the meta-analysis of rs6983267 and colorectal neoplasia, sixteen eligible papers that examined the risk of colorectal carcinoma, including two that also reported the association between the locus and colorectal adenomas risk were examined. We found that the GT heterozygotes had a 20% (95% CI = 1.16–1.25; random effects model) and the GG homozygotes showed a 39% (95% CI = 1.32–1.48; random effects model) increased risk of colorectal neoplasia. The SORs determined for colorectal neoplasia were similar in magnitude to those observed for colorectal cancer and colorectal adenomas (Table 4). These findings indicated that rs6983267 may play a similar role in the etiology of both colorectal cancer and colorectal adenomas. Although the frequency for the risk allele G was different in different populations (0.487 in CEU, 0.394 in CHB and 0.301 in JPT according to Hapmap database), we also found that the strength of the association between rs6983267 and colorectal neoplasia were similar between the Caucasian and Asian populations (Table 4), which was consistent with a previous meta-analysis study conducted by Hutter et al concerning the association between this locus and CRC risk [33]. Although the variant rs6983267 had been found to be associated with an increased susceptibility to colorectal neoplasia, whether the rs6983267 SNP is the causal locus is still uncertain. Several recently published studies have shown that rs6983267 is located within a transcriptional enhancer region and affects a binding site for TCF4 (also called TCF7L2), a transcription factor which is activated in most CRCs. TCF4 interacts with β-catenin to activate the transcription of Wnt target genes, which are part of a key pathway involved in CRC initiation [40], [41]. It has been found that the rs6983267 G allele has an approximately 1.5-fold stronger enhancer activity and increased affinity for TCF4 compared to the T allele. And Pomerantz et al. demonstrated that a DNA fragment region containing the variant shows a long-range physical interaction with the MYC promoter located ∼330 kb downstream using a chromatin conformation capture (3C) technique [40]. These findings indicate the biological mechanism(s) that potentially underlie the role of this non-protein-coding risk variant, and indicated that rs6983267 may be a causal variant for the susceptibility to CRC. There are several potential limitations to the current study. First, for a hospital-based case-control study, subjects were recruited based on their outcome (with CRC or without CRC) rather than their exposure. The potential CRC risks for the controls are immeasurable, and may have caused a cause bias in studying the etiology of the disease. It could also have led to spurious results in the gene/environmental interaction studies. Second, the sample size was relatively small. We cannot exclude the possibility there is an association between rs16901979, rs1447295 and rs7837688 and colorectal cancer in the Chinese population due to the inadequate statistical power of our study (0.290 for rs16901979, 0.702 for 1447295 and 0.316 for rs7837688, respectively), although many other studies have also reported no significant association for these loci with CRC in other populations [12], [14], [26], [28]. Accordingly, the null interaction between the confounders (alcohol use, smoking status, sex, age) and rs6983267 may also be due to the low power of small sample size. Third, there are at least five different cancer susceptibility regions on the 8q24 “desert” as reported by Ghoussaini et al [14]. Only the loci in the third region such as rs6983267 and rs10505477, were found to be significantly associated with CRC, and evidence from the in vitro experiment indicated that rs6983267 may be the causal locus, although we cannot exclude the possibility that other functional variants which are highly correlated with rs6983267 also lead to an increased risk of CRC. This study evaluated the representative loci from different regions on 8q24 and their association with CRC risk in an Asian (Han Chinese), which has been not well studied for these variants so far. It is valuable to conduct a fine-mapping study for the third region to identify other potential causal variants that are associated with CRC risk in a larger Chinese population. In summary, we observed a statistically significant association between SNP rs6983267 on 8q24 and the risk of colorectal cancer in a Chinese population. Moreover, a meta-analysis of previous studies conducted in different populations confirmed the association between this locus and colorectal neoplasia risk in different populations and ethnic groups. These results provide a more complete picture of the role of this polymorphism in the risk of colorectal neoplasia, and may give genetic insight into possible strategies for prevention of colorectal neoplasia.
  41 in total

1.  Power and sample size calculations in case-control studies of gene-environment interactions: comments on different approaches.

Authors:  M García-Closas; J H Lubin
Journal:  Am J Epidemiol       Date:  1999-04-15       Impact factor: 4.897

2.  Multiple regions within 8q24 independently affect risk for prostate cancer.

Authors:  Christopher A Haiman; Nick Patterson; Matthew L Freedman; Simon R Myers; Malcolm C Pike; Alicja Waliszewska; Julie Neubauer; Arti Tandon; Christine Schirmer; Gavin J McDonald; Steven C Greenway; Daniel O Stram; Loic Le Marchand; Laurence N Kolonel; Melissa Frasco; David Wong; Loreall C Pooler; Kristin Ardlie; Ingrid Oakley-Girvan; Alice S Whittemore; Kathleen A Cooney; Esther M John; Sue A Ingles; David Altshuler; Brian E Henderson; David Reich
Journal:  Nat Genet       Date:  2007-04-01       Impact factor: 38.330

3.  On power and sample size for studying features of the relative odds of disease.

Authors:  J H Lubin; M H Gail
Journal:  Am J Epidemiol       Date:  1990-03       Impact factor: 4.897

4.  Bias in meta-analysis detected by a simple, graphical test.

Authors:  M Egger; G Davey Smith; M Schneider; C Minder
Journal:  BMJ       Date:  1997-09-13

Review 5.  Increasing incidence of colorectal cancer in Asia: implications for screening.

Authors:  Joseph J Y Sung; James Y W Lau; K L Goh; W K Leung
Journal:  Lancet Oncol       Date:  2005-11       Impact factor: 41.316

6.  A common genetic risk factor for colorectal and prostate cancer.

Authors:  Christopher A Haiman; Loïc Le Marchand; Jennifer Yamamato; Daniel O Stram; Xin Sheng; Laurence N Kolonel; Anna H Wu; David Reich; Brian E Henderson
Journal:  Nat Genet       Date:  2007-07-08       Impact factor: 38.330

Review 7.  TGF-beta signaling alterations and susceptibility to colorectal cancer.

Authors:  Yanfei Xu; Boris Pasche
Journal:  Hum Mol Genet       Date:  2007-04-15       Impact factor: 6.150

8.  Genome-wide association scan identifies a colorectal cancer susceptibility locus on chromosome 8q24.

Authors:  Brent W Zanke; Celia M T Greenwood; Jagadish Rangrej; Rafal Kustra; Albert Tenesa; Susan M Farrington; James Prendergast; Sylviane Olschwang; Theodore Chiang; Edgar Crowdy; Vincent Ferretti; Philippe Laflamme; Saravanan Sundararajan; Stéphanie Roumy; Jean-François Olivier; Frédérick Robidoux; Robert Sladek; Alexandre Montpetit; Peter Campbell; Stephane Bezieau; Anne Marie O'Shea; George Zogopoulos; Michelle Cotterchio; Polly Newcomb; John McLaughlin; Ban Younghusband; Roger Green; Jane Green; Mary E M Porteous; Harry Campbell; Helene Blanche; Mourad Sahbatou; Emmanuel Tubacher; Catherine Bonaiti-Pellié; Bruno Buecher; Elio Riboli; Sebastien Kury; Stephen J Chanock; John Potter; Gilles Thomas; Steven Gallinger; Thomas J Hudson; Malcolm G Dunlop
Journal:  Nat Genet       Date:  2007-07-08       Impact factor: 38.330

9.  A genome-wide association scan of tag SNPs identifies a susceptibility variant for colorectal cancer at 8q24.21.

Authors:  Ian Tomlinson; Emily Webb; Luis Carvajal-Carmona; Peter Broderick; Zoe Kemp; Sarah Spain; Steven Penegar; Ian Chandler; Maggie Gorman; Wendy Wood; Ella Barclay; Steven Lubbe; Lynn Martin; Gabrielle Sellick; Emma Jaeger; Richard Hubner; Ruth Wild; Andrew Rowan; Sarah Fielding; Kimberley Howarth; Andrew Silver; Wendy Atkin; Kenneth Muir; Richard Logan; David Kerr; Elaine Johnstone; Oliver Sieber; Richard Gray; Huw Thomas; Julian Peto; Jean-Baptiste Cazier; Richard Houlston
Journal:  Nat Genet       Date:  2007-07-08       Impact factor: 38.330

10.  Common variant in 6q26-q27 is associated with distal colon cancer in an Asian population.

Authors:  R Cui; Y Okada; S G Jang; J L Ku; J G Park; Y Kamatani; N Hosono; T Tsunoda; V Kumar; C Tanikawa; N Kamatani; R Yamada; M Kubo; Y Nakamura; K Matsuda
Journal:  Gut       Date:  2011-01-17       Impact factor: 23.059

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  11 in total

1.  Association of 8q23-24 region (8q23.3 loci and 8q24.21 loci) with susceptibility to colorectal cancer: a systematic and updated meta-analysis.

Authors:  Linlin Li; Li Lv; Yuan Liang; Xiaoyu Shen; Shishi Zhou; Jia Zhu; Rui Ma
Journal:  Int J Clin Exp Med       Date:  2015-11-15

2.  Pleiotropic effects of genetic risk variants for other cancers on colorectal cancer risk: PAGE, GECCO and CCFR consortia.

Authors:  Iona Cheng; Jonathan M Kocarnik; Logan Dumitrescu; Noralane M Lindor; Jenny Chang-Claude; Christy L Avery; Christian P Caberto; Shelly-Ann Love; Martha L Slattery; Andrew T Chan; John A Baron; Lucia A Hindorff; Sungshim Lani Park; Fredrick R Schumacher; Michael Hoffmeister; Peter Kraft; Anne M Butler; David J Duggan; Lifang Hou; Chris S Carlson; Kristine R Monroe; Yi Lin; Cara L Carty; Sue Mann; Jing Ma; Edward L Giovannucci; Charles S Fuchs; Polly A Newcomb; Mark A Jenkins; John L Hopper; Robert W Haile; David V Conti; Peter T Campbell; John D Potter; Bette J Caan; Robert E Schoen; Richard B Hayes; Stephen J Chanock; Sonja I Berndt; Sebastien Küry; Stephane Bézieau; Jose Luis Ambite; Gowri Kumaraguruparan; Danielle M Richardson; Robert J Goodloe; Holli H Dilks; Paxton Baker; Brent W Zanke; Mathieu Lemire; Steven Gallinger; Li Hsu; Shuo Jiao; Tabitha A Harrison; Daniela Seminara; Christopher A Haiman; Charles Kooperberg; Lynne R Wilkens; Carolyn M Hutter; Emily White; Dana C Crawford; Gerardo Heiss; Thomas J Hudson; Hermann Brenner; William S Bush; Graham Casey; Loïc Le Marchand; Ulrike Peters
Journal:  Gut       Date:  2013-08-09       Impact factor: 23.059

Review 3.  Systematic meta-analyses and field synopsis of genetic association studies in colorectal adenomas.

Authors:  Zahra Montazeri; Evropi Theodoratou; Christine Nyiraneza; Maria Timofeeva; Wanjing Chen; Victoria Svinti; Shanya Sivakumaran; Gillian Gresham; Laura Cubitt; Luis Carvajal-Carmona; Monica M Bertagnolli; Ann G Zauber; Ian Tomlinson; Susan M Farrington; Malcolm G Dunlop; Harry Campbell; Julian Little
Journal:  Int J Epidemiol       Date:  2015-10-07       Impact factor: 7.196

4.  Genetic variation at 8q24, family history of cancer, and upper gastrointestinal cancers in a Chinese population.

Authors:  Heather P Tarleton; Shen-Chih Chang; Sungshim Lani Park; Lin Cai; Baoguo Ding; Na He; Shehnaz K Hussain; Qingwu Jiang; Li-Na Mu; Jianyu Rao; Hua Wang; Nai-Chieh Y You; Shun-Zhang Yu; Jin-Kou Zhao; Zuo-Feng Zhang
Journal:  Fam Cancer       Date:  2014-03       Impact factor: 2.375

5.  Common variation rs6983267 at 8q24.1 and risk of colorectal adenoma and cancer: evidence based on 31 studies.

Authors:  Yin-Ping Wang; Jie Zhang; Hong-Yi Zhu; Chang-Ling Qian; Hua Liu; Fu Ji; Zhi-Yong Shen
Journal:  Tumour Biol       Date:  2013-12-28

6.  Associations between variants on ADIPOQ and ADIPOR1 with colorectal cancer risk: a Chinese case-control study and updated meta-analysis.

Authors:  Yiyi Ou; Peizhan Chen; Ziyuan Zhou; Chenglin Li; Jinyi Liu; Kazuo Tajima; Junsheng Guo; Jia Cao; Hui Wang
Journal:  BMC Med Genet       Date:  2014-12-17       Impact factor: 2.103

Review 7.  Association of rs6983267 Polymorphism and Thyroid Cancer Susceptibility: A Systematic Review and Meta-Analysis.

Authors:  Jingdong Li; Xiaofei Wang; Jiahong Dong
Journal:  Med Sci Monit       Date:  2016-06-02

8.  Association between 8q24 rs6983267 polymorphism and cancer susceptibility: a meta-analysis involving 170,737 subjects.

Authors:  Man Zhu; Xue Wen; Xuefang Liu; Yingchao Wang; Chunzi Liang; Jiancheng Tu
Journal:  Oncotarget       Date:  2017-07-04

9.  Cumulative Evidence for Relationships Between 8q24 Variants and Prostate Cancer.

Authors:  Yu Tong; Tao Yu; Shiping Li; Fengyan Zhao; Junjie Ying; Yi Qu; Dezhi Mu
Journal:  Front Physiol       Date:  2018-07-16       Impact factor: 4.566

10.  Cumulative evidence of relationships between multiple variants in 8q24 region and cancer incidence.

Authors:  Yu Tong; Ying Tang; Shiping Li; Fengyan Zhao; Junjie Ying; Yi Qu; Xiaoyu Niu; Dezhi Mu
Journal:  Medicine (Baltimore)       Date:  2020-06-26       Impact factor: 1.817

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