Literature DB >> 27556856

MYO9B gene polymorphisms are associated with the risk of inflammatory bowel diseases.

Ming-Jie Wang1, Xiao-Liang Xu2, Guo-Liang Yao3, Qiang Yu4, Chun-Fu Zhu4, Zhi-Jun Kong4, Hui Zhao5, Li-Ming Tang4, Xi-Hu Qin4.   

Abstract

Myosin IXB (MYO9B) gene polymorphisms have been extensively investigated in terms of their associations with inflammatory bowel disease (IBD), with contradictory results. The aim of this meta-analysis was to evaluate associations between MY09B gene polymorphisms and the risk of IBD, Crohn's disease (CD) and ulcerative colitis (UC). Eligible studies from PubMed, Embase, and CNKI databases were identified. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Ten studies published in eight papers reporting 8,975 cases and 9,482 controls were included in this meta-analysis. Five MY09B gene polymorphisms were evaluated: rs1545620, rs962917, rs1457092, rs2305764, and rs2305767. Our data suggested that the rs1545620 polymorphism was associated with a decreased risk of IBD. A similar result was found for rs2305767 and UC. The rs962917 single nucleotide polymorphism (SNP) increased the risk of IBD, CD and UC. Moreover, rs1457092 increased the risk of IBD and UC. Rs2305764 was also associated with an increased risk of IBD. Furthermore, stratification analyses indicated that rs1545620 decreased the risk of IBD, while rs962917 increased the risk of IBD, CD and UC in Caucasian populations. To sum up, our data indicate that these five SNPs in MY09B are significantly associated with the risk of IBD.

Entities:  

Keywords:  Crohn’s disease; Immune response; Immunity; Immunology and Microbiology Section; MYO9B; inflammatory bowel disease; polymorphism; ulcerative colitis

Mesh:

Substances:

Year:  2016        PMID: 27556856      PMCID: PMC5312281          DOI: 10.18632/oncotarget.11186

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Inflammatory bowel disease (IBD) is a chronic inflammatory disease of the intestinal tract that causes relapse and remission, and is usually classified into two clinical syndromes: ulcerative colitis (UC) and Crohn's disease (CD) [1]. Although the etiology of IBD is unclear, twin and familial aggregation studies have demonstrated roles for genetic factors. Genetic epidemiology studies have indicated that UC and CD are polygenic disorders, and that genetic susceptibility factors play an important role in the pathogenesis of these two diseases [2]. Previous studies identified several IBD susceptibility genes, including nucleotide oligomerization domain 2 (NOD2), interleukin-10 (IL-10), IL-23, and ATG16L1 [3, 4]. Genome-wide association studies (GWAS) have implicated that genes were involved in both UC and CD, indicating a partly shared pathogenesis [5, 6]. Myosin IXB (MYO9B) encodes a single-headed processive myosin that is a member of the class IX myosin family [7]. MY09B is expressed in various tissues and cell types, including human intestinal epithelial cells [8]. Studies using a rat model shown that overexpression of MYO9B results in actin filament-related morphologic changes in epithelial cells [9]. A previous Dutch study first suggested MYO9B as a susceptibility gene for celiac disease [10]. MYO9B lies on chromosome 19p13.1, which has been linked to both celiac disease [11] and IBD [12]. Autoimmune-related disorders may possess some common genetic susceptibility factors [13]. Furthermore, MYO9B has been shown to be associated with IBD [12]. Therefore, MYO9B may be a candidate susceptibility gene for IBD. Recently, numerous studies investigated associations between MYO9B gene polymorphisms and IBD susceptibility, but with discordant results [14-21]. The clinical heterogeneity, different ethnic populations and small sample sizes of previous studies may have contributed to these disparities. To overcome these limitations and resolve inconsistencies, we performed a meta-analysis of the contradictory results from these relevant studies to clarify the associations between MY09B gene polymorphisms and risk of IBD, CD and UC.

RESULTS

Characteristics of the included studies

A total of 47 papers were identified after our initial search. After removing duplicates and screening the titles and abstracts, 37 papers were removed. Therefore, 10 papers were selected for further full text review; two papers [22, 23] were excluded, because they did not investigate the associations between MY09B gene polymorphisms and IBD, CD or UC. We finally identified eight eligible papers [14-21] including ten studies (8,975 cases and 9,482 controls) in this meta-analysis. Selection for included studies was presented in Figure 1. The characteristics of these included studies are summarized in Table 1. These studies were published from 2006 to 2014. The number for each genotype about five SNPs of MY09B was showed Supplementary Table 1. Five SNPs within MY09B gene were investigated, including rs1545620, rs962917, rs1457092, rs2305764 and rs2305767. Genotype distributions of the controls about rs1545620 in one study [17] did not conform to HWE [17] (P = 0.002). The NOS scores of all included studies ranged from 5 to 7 stars, which suggested they were studies of high methodological quality. Six papers were carried out in Caucasian populations [14-16, 18, 20, 21], and two in Asian populations [17, 19].
Figure 1

Selection for eligible studies included in this meta-analysis

Table 1

Characteristics of included studies

Author and yearCountryEthnicityNumbersPolymorphismsHWE valuesGenotype methodsNOS score
UCCDControls
Hu_2014ChinaAsian235207402rs962917,rs15456200.252, 0.002PCR7
Shi_2011ChinaAsian245NA300rs15456200.310PCR6
Wolters_2011CanadaCaucasian603754924rs962917,rs1457092,rs1545620,rs2305764,rs23057670.971, 0.971, 0.992, 0.992, 0.995TaqMan6
Cooney_2009UKCaucasian6506521190rs1457092,rs1545620,rs2305764,rs23057670.988, 0.977, 0.987, 0.993MALDI-TOF6
Latiano_2008ItalyCaucasian658549674rs962917,rs1545620,rs23057640.101, 0.114, 0.107PCR5
Nunez_2007SpainCaucasian677627990rs1457092,rs2305764,rs23057670.584, 0.772, 0.051NA7
van Bodegraven_2006DutchCaucasian2902981624rs1457092,rs1545620,rs2305764,rs23057670.992, 0.992, 0.995, 0.991TaqMan6
van Bodegraven_2006UKCaucasian5807352371rs1457092,rs1545620,rs2305764,rs23057670.994, 0.997, 0.986, 0.980TaqMan6
van Bodegraven_2006Canada/ItalyCaucasian650164445rs1457092,rs1545620,rs2305764,rs23057670.969, 0.960,0.994, 1.000TaqMan6
Amundsen_2006NorwayCaucasian308149562rs1457092,rs2305764,rs23057670.974, 0.972, 0.960NA6

Abbreviations: CD, Crohn's disease; UC, ulcerative disease; NA, not available; NOS, Newcastle–Ottawa scale.

Abbreviations: CD, Crohn's disease; UC, ulcerative disease; NA, not available; NOS, Newcastle–Ottawa scale.

Meta-analysis of rs1545620

Six papers [15-19, 21] including eight studies with 7,214 cases and 7,929 controls examined rs1545620 polymorphism. As shown in Table 2, rs1545620 polymorphism was associated with a decreased risk of IBD in recessive model (CC vs. AA+AC: OR, 0.62; 95% CI, 0.45-0.84, P = 0.002, Figure 2); however, our study did not find rs1545620 was associated with UC or CD risk. Stratification analyses were conducted according to ethnicity. The results indicated that rs1545620 polymorphism was also significantly associated with a decreased risk of IBD among Caucasian populations in recessive model (CC vs. AA+AC: OR, 0.48; 95% CI, 0.38-0.62, P < 0.001). We did not find rs1545620 was related with UC or CD risk in Caucasian or Asian populations. By exclusion of one Chinese study that did not conform to HWE [17], the pooled estimates of the remaining studies also showed that rs1545620 polymorphism might decrease the risk of IBD (CC vs. AA+AC: OR, 0.53; 95% CI, 0.41-0.69, P < 0.001) (Table 3), suggesting that the results of this SNP was stable. The power analysis showed that our study has a power of 99% to detect the effects of rs1545620 polymorphism on IBD susceptibility, assuming an OR of 0.62. The false positive report probability (FPRP) of four genetic models were less than 0.5, indicating our data about this polymorphism was trustworthy.
Table 2

Meta-analysis of associations between the rs1545620 polymorphism and IBD, UC, CD

DiseaseComparisonPopulationsStudiesOR (95% CI)P-valueP for heterogeneityModelI2 (%)PBeggerPEgger for Publication bias
IBDC vs. AOverall80.95(0.86,1.06)0.391<0.001R78.40.322/0.568
Caucasian60.94(0.83,1.06)0.301<0.001R83.2Na/Na
Asian21.03 (0.81,1.32)0.7930.167F47.6Na/Na
CC vs. AA+ACOverall80.62(0.45,0.84)0.002<0.001R94.80.083/0.169
Caucasian60.48(0.38,0.62)<0.001<0.001R90.4Na/Na
Asian21.36(0.84,2.20)0.2120.032R78.1Na/Na
CC+AC vs. AAOverall80.91(0.78,1.08)0.2870.001R72.00.805/0.723
Caucasian60.91(0.78,1.05)0.1990.007R68.8Na/Na
Asian21.49(0.30,7.48)0.6250.003R88.9Na/Na
CC vs. AAOverall80.92(0.72,1.18)0.527<0.001R81.70.458/0.412
Caucasian60.88(0.68,1.14)0.348<0.001R83.5Na/Na
Asian21.51(0.33,6.90)0.5960.005R87.3Na/Na
CDC vs. AOverall70.95(0.85,1.06)0.3350.006R67.10.881/0.709
Caucasian60.94(0.84,1.07)0.3620.003R72.5Na/Na
Asian10.97(0.75,1.27)0.842NaNaNaNa/Na
CC vs. AA+ACOverall70.96(0.81,1.13)0.6070.010R64.30.652/0.373
Caucasian60.95(0.78,1.15)0.5720.006R69.4Na/Na
Asian11.04(0.74,1.46)0.807NaNaNaNa/Na
CC+AC vs. AAOverall70.91(0.83,1.01)0.0690.145F37.20.881/0.754
Caucasian60.91(0.79,1.05)0.2170.096R46.6Na/Na
Asian10.81(0.48,1.37)0.434NaNaNaNa/Na
CC vs. AAOverall70.89(0.71,1.13)0.3460.004R68.50.881/0.827
Caucasian60.90(0.70,1.17)0.4250.002R73.3Na/Na
Asian10.85(0.49,1.45)0.545NaNaNaNa/Na
UCC vs. AOverall80.91(0.81,1.02)0.1080.001R71.40.805/0.758
Caucasian60.92(0.80,1.06)0.237<0.001R79.2Na/Na
Asian20.87(0.72,1.05)0.1410.749F0.0Na/Na
CC vs. AA+ACOverall80.89(0.73,1.08)0.2470.001R73.00.216/0.642
Caucasian60.91(0.74,1.12)0.3780.001R74.8Na/Na
Asian20.58(0.16,2.08)0.4050.013R83.6Na/Na
CC+AC vs. AAOverall80.88(0.76,1.01)0.0730.029R55.20.621/0.253
Caucasian60.89(0.75,1.05)0.1630.021R62.3Na/Na
Asian20.80(0.53,1.19)0.2700.161F49.1Na/Na
CC vs. AAOverall80.79(0.60,1.03)0.078<0.001R76.70.621/0.340
Caucasian60.85(0.64,1.14)0.278<0.001R79.8Na/Na
Asian20.49(0.22,1.10)0.0850.130F56.3Na/Na

* Bold values are statistically significant (P < 0.05). Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; CD, Crohn's disease; UC, ulcerative disease; IBD, inflammatory bowel disease; F, fixed effects model; R, random effects model; Na, not available.

Figure 2

Forest plot shows odds ratio for associations between the rs1545620 polymorphism and IBD (CC vs. AA+AC)

Table 3

Meta-analysis of the association between the rs1545620 polymorphism and IBD, UC, CD susceptibility after excluding one study (Hu et al.)

DiseaseComparisonModelOR(95%CI)PI2 (%)P for heterogeneity
IBDC vs. AR0.96(0.85,1.08)0.47381.5<0.001
CC vs. AA+ACR0.53(0.41,0.69)<0.00191.5<0.001
CC+AC vs. AAR0.94(0.79,1.12)0.47074.20.001
CC vs. AAR0.95(0.72,1.25)0.72084.1<0.001
CDC vs. AR0.94(0.84,1.07)0.36272.50.003
CC vs. AA+ACR0.95(0.78,1.15)0.57269.40.006
CC+AC vs. AAR0.91(0.79,1.05)0.21746.60.096
CC vs. AAR0.90(0.70,1.17)0.42573.70.002
UCC vs. AR0.91(0.81,1.03)0.15275.4<0.001
CC vs. AA+ACR0.87(0.70,1.08)0.21876.1<0.001
CC+AC vs. AAR0.90(0.78,1.04)0.14755.00.038
CC vs. AAR0.80(0.60,1.07)0.13679.5<0.001

* Bold values are statistically significant (P < 0.05). Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; CD, Crohn's disease; UC, ulcerative disease; IBD, inflammatory bowel disease; F, fixed effects model; R, random effects model.

* Bold values are statistically significant (P < 0.05). Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; CD, Crohn's disease; UC, ulcerative disease; IBD, inflammatory bowel disease; F, fixed effects model; R, random effects model; Na, not available. * Bold values are statistically significant (P < 0.05). Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; CD, Crohn's disease; UC, ulcerative disease; IBD, inflammatory bowel disease; F, fixed effects model; R, random effects model.

Meta-analysis of rs962917

Three studies [16, 17, 21] with 2,993 cases and 2,005 controls investigated rs962917 polymorphism. As shown in Table 4, rs962917 polymorphism was associated with an increased risk of IBD. Stratification analyses of ethnicity also indicated that rs962917 polymorphism was significantly associated with the increased risk of IBD among Caucasian populations. We also found rs962917 was related with UC or CD risk (AA vs. GG+GA: OR, 1.24; 95% CI, 1.07-1.44, P = 0.005, Figure 3), especially among Caucasian populations, but not Asian populations. We did not perform sensitivity analyses, because only three studies investigated rs962917 polymorphism. Due to limited studies, we did not conduct Egger's and Begg's tests in stratification analyses of ethnicity. Both Egger's and Begg's tests revealed that there was no obvious publication bias in overall analysis for rs962917 polymorphism. The power of this meta-analysis about rs962917 polymorphism ranged from 0.57 to 0.97.
Table 4

Meta-analysis of associations between the rs962917 polymorphism and IBD, UC, CD

DiseaseComparisonPopulationsStudiesOR (95% CI)P-valueP for heterogeneityModelI2 (%)PBegger/PEgger for Publication bias
IBDA vs. GOverall31.13(1.04,1.23)0.0030.667F0.00.602/0.400
Caucasian21.15(1.05,1.26)0.0020.727F0.0Na/Na
Asian11.04(0.84,1.29)0.695NaNaNaNa/Na
AA vs. GG+GAOverall31.26(1.10,1.43)<0.0010.130F51.10.117/0.595
Caucasian21.28(1.11,1.48)0.0010.055R72.9Na/Na
Asian11.16(0.88,1.52)0.285NaNaNaNa/Na
AA+GA vs. GGOverall31.08(0.94,1.25)0.2810.273F23.00.602/0.460
Caucasian21.12(0.96,1.30)0.1480.467F0.0Na/Na
Asian10.76(0.45,1.26)0.284NaNaNaNa/Na
AA vs. GGOverall31.31(1.10,1.58)0.0030.118F53.20.602/0.445
Caucasian21.40(1.15,1.70)0.0010.335F53.2Na/Na
Asian10.83(0.49,1.40)0.481NaNaNaNa/Na
UCA vs. GOverall31.12(1.01,1.24)0.0250.426F0.00.602/0.830
Caucasian21.12(1.00,1.24)0.0480.199F39.3Na/Na
Asian11.15(0.89,1.49)0.279NaNaNaNa/Na
AA vs. GG+GAOverall31.30(0.97,1.74)0.0750.037R69.70.602/0.415
Caucasian21.33(0.83,2.13)0.2430.010R84.8Na/Na
Asian11.28(0.93,1.77)0.132NaNaNaNa/Na
AA+GA vs. GGOverall31.06(0.89,1.25)0.5080.884F0.00.117/0.068
Caucasian21.07(0.89,1.25)0.4430.921F0.0Na/Na
Asian10.91(0.49,1.71)0.772NaNaNaNa/Na
AA vs. GGOverall31.29(1.04,1.30)0.0200.151F47.10.602/0.800
Caucasian20.98(0.83,1.15)0.1690.071R69.2Na/Na
Asian10.83(0.66,1.04)0.135NaNaNaNa/Na
CDA vs. GOverall31.12(1.00,1.28)0.0440.289F19.30.117/0. 107
Caucasian21.17(1.05,1.30)0.0050.703F0.0Na/Na
Asian10.94(0.72,1.22)0.622NaNaNaNa/Na
AA vs. GG+GAOverall31.24(1.07,1.44)0.0050.310F14.70.602/0.989
Caucasian21.30(1.10,1.54)0.0020.339F0.0Na/Na
Asian11.03(0.74,1.44)0.846NaNaNaNa/Na
AA+GA vs. GGOverall31.04(0.78,1.40)0.7800.099R56.80.602/0.476
Caucasian21.14(0.96,1.37)0.1420.294F9.1Na/Na
Asian10.63(0.35,1.14)0.128NaNaNaNa/Na
AA vs. GGOverall31.21(0.83,1.76)0.3230.074R61.70.602/0.179
Caucasian21.43(1.14,1.80)0.0020.901F0.0Na/Na
Asian10.83(0.66,1.04)0.194NaNaNaNa/Na

* Bold values are statistically significant ( < 0.05). Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; CD, Crohn's disease; UC, ulcerative disease; IBD, inflammatory bowel disease; F, fixed effects model; R, random effects model; Na, not available.

Figure 3

Forest plot shows odds ratio for the associations between rs962917 and CD(AA vs. GG+GA)

The FPRP of four genetic models was less than 0.5, indicating our data about this polymorphism was trustworthy. * Bold values are statistically significant ( < 0.05). Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; CD, Crohn's disease; UC, ulcerative disease; IBD, inflammatory bowel disease; F, fixed effects model; R, random effects model; Na, not available.

Meta-analysis of rs1457092, rs2305764, rs2305767

Five papers [14, 15, 18, 20, 21] including seven studies with 7,137 cases and 8,106 controls examined rs1457092 polymorphism; six papers [14-16, 18, 20, 21] including eight studies with 8,304 cases and 8,780 controls studied rs2305764 polymorphism; five papers [14, 15, 18, 20, 21] including seven studies with 7,137 cases and 8,106 controls studied rs2305767 polymorphism. For these three SNPs, we did not perform stratification analyses due to lack of data. As shown in Table 5, we found rs1457092 increased the risk of IBD (AA vs. CC+CA: OR, 1.20; 95% CI, 1.05-1.38, P = 0.009, Figure 4a) or UC (Figure 4b), but not CD. For rs2305764, we also found rs2305764 increased the risk of IBD in recessive model (AA vs. GG+GA: OR, 1.14; 95% CI, 1.00-1.30, P = 0.045, Figure 4c). With regard to rs2305767, our results suggested rs2305767 was associated with a decreased risk of UC (GG+AG vs. AA: OR, 0.84; 95% CI, 0.72-0.97, P = 0.020, Figure 4d), but not associated with IBD and CD risk. The power analysis showed that the power of this meta-analysis with regard to rs1457092, rs2305764, rs2305767 polymorphisms was greater than 0.95. The FPRP of genetic models were less than 0.5, indicating our data about these polymorphisms was trustworthy.
Table 5

Meta-analysis of associations between rs1457092, rs2305764, rs2305767 polymorphisms and IBD, UC, CD

PolymorphismComparisonDiseaseStudiesOR (95% CI)P-valueP for heterogeneityModelI2 (%)PBeggerPEgger for Publication bias
rs1457092A vs. CIBD71.11(1.01,1.21)0.0290.001R73.10.652/0.837
UC71.15(1.08,1.22)<0.0010.120F40.70.293/0.711
CD71.05(0.93,1.19)0.4020.001R73.30.652/0.977
AA vs. CC+CAIBD71.20(1.05,1.38)0.0090.056R51.20.652/0.822
UC71.27(1.13,1.42)<0.0010.193F30.80.453/0.413
CD70.92(0.54,1.55)0.745<0.001R94.60.099/0.104
AA+CA vs. CCIBD71.16(1.06,1.26)0.0010.287F18.70.453/0.868
UC71.16(1.06,1.28)0.0010.204F30.90.453/0.989
CD71.05(0.90,1.24)0.5280.003R69.80.881/0.918
AA vs. CCIBD71.25(1.04,1.51)0.0180.004R68.20.652/0.851
UC71.34(1.18,1.51)<0.0010.128F39.60.176/0.532
CD71.13(0.89,1.42)0.3160.007R66.40.881/0.984
rs2305764A vs. GIBD81.06(0.99,1.14)0.0840.026R56.11.000/0.918
UC80.97(0.71,1.34)0.867<0.001R96.90.138/0.688
CD80.71(0.45,1.13)0.150<0.001R98.30.322/0.166
AA vs. GG+GAIBD81.14(1.00,1.30)0.0450.020R57.80.621/0.861
UC81.01(0.69,1.47)0.966<0.001R92.10.048/0.054
CD80.94(0.67,1.33)0.739<0.001R86.60.621/0.084
AA+GA vs. GGIBD81.05(0.98,1.12)0.1450.134F37.00.458/0.853
UC80.95(0.63,1.43)0.800<0.001R96.20.805/0.495
CD80.66(0.35,1.26)0.209<0.001R98.20.322/0.407
AA vs. GGIBD81.15(0.99,1.34)0.0610.015R59.60.621/0.993
UC80.98(0.58,1.63)0.928<0.001R94.80.048/0.080
CD80.83(0.53,1.30)0.413<0.001R90.90.621/0.068
rs2305767G vs. AIBD70.92(0.83,1.02)0.113<0.001R79.10.652/0.964
UC70.89(0.80,0.99)0.0320.005R67.80.652/0.577
CD70.98(0.89,1.07)0.6220.024R58.90.652/0.379
GG vs. AA+AGIBD70.91(0.78,1.06)0.2400.004R68.50.453/0.644
UC70.89(0.77,1.03)0.1240.089R45.30.881/0.468
CD71.00(0.90,1.11)0.9720.145F37.10.293/0.259
GG+AG vs. AAIBD70.88(0.77,1.01)0.0670.002R71.90.881/0.837
UC70.84(0.72,0.97)0.0200.009R64.70.881/0.441
CD70.98(0.89,1.07)0.6010.119F40.70.881/0.500
GG vs. AAIBD70.85(0.69,1.05)0.134<0.001R77.60.453/0.937
UC70.81(0.66,0.99)0.0390.014R62.40.881/0.743
CD70.96(0.79,1.17)0.6750.029R57.20.453/0.351

* Bold values are statistically significant (P < 0.05). Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; CD, Crohn's disease; UC, ulcerative disease; IBD, inflammatory bowel disease; F, fixed effects model; R, random effects model.

Figure 4

Forest plot shows odds ratio for the associations

a. between rs1457092 polymorphism and risk of IBD (AA CC+CA); b. between rs1457092 polymorphism and risk of UC (AA vs. CC+CA); c. between the rs2305764 polymorphism and risk of IBD (AA vs. GG+GA); d. between rs2305767 polymorphism and risk of UC (GG+AG vs. AA).

* Bold values are statistically significant (P < 0.05). Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; CD, Crohn's disease; UC, ulcerative disease; IBD, inflammatory bowel disease; F, fixed effects model; R, random effects model.

Forest plot shows odds ratio for the associations

a. between rs1457092 polymorphism and risk of IBD (AA CC+CA); b. between rs1457092 polymorphism and risk of UC (AA vs. CC+CA); c. between the rs2305764 polymorphism and risk of IBD (AA vs. GG+GA); d. between rs2305767 polymorphism and risk of UC (GG+AG vs. AA).

Sensitivity analysis and publication bias

We assessed sensitivity by omitting each study once at a time in every genetic model for these five SNPs. The pooled ORs for the effects of rs962917, rs1457092, rs2305764 and rs2305767 on the risk for IBD or CD or UC indicated that our data were stable and trustworthy about these four SNPs. However, we found pooled ORs for the effect of rs1545620 on the risk for IBD (Figure 5a) or CD (Figure 5b) or UC (Figure 5c) changed significantly when we omitted the study [16] by Latiano et al., suggesting that our data about rs1545620 polymorphism were poorly stable and trustworthy.
Figure 5

Sensitivity analyses between the rs1545620 polymorphism and (a): IBD, (b): UC and (c): CD risk in allele model

Both Egger's and Begg's tests were used to evaluated the publication bias of this meta-analysis. Our data revealed that there was no obvious publication bias in overall analysis for these five SNPs (Table 2, 4, 5 and Figure 6). Due to limited studies, we did not conduct Egger's and Begg's tests in stratification analyses of ethnicity.
Figure 6

Begg's tests for publication bias between (a): rs1545620, (b): rs962917, (c): rs1457092, (d): rs2305764 and (e): rs2305767 polymorphisms and the risk of IBD in dominant model

DISCUSSION

In this meta-analysis, we evaluated recent studies on the relationships between MY09B gene polymorphisms and susceptibility to IBD, CD and UC. The primary findings were as follows: (1) the rs1545620 polymorphism was associated with a decreased risk of IBD; (2)rs2305767 decreased the risk of UC; (3) rs962917 increased the risk of IBD, CD and UC; (4) rs1457092 increased the risk of IBD and UC; (5) rs2305764 was associated with an increased risk of IBD; and (6) stratification analyses indicated that rs1545620 decreased the risk of IBD in Caucasian populations, while rs962917 increased the risk of IBD, CD and UC in Caucasian populations. MYO9B is a candidate gene that is reportedly associated with celiac disease [10] and diabetes type 1 (DM type 1) [24, 25]. A previous study [26] demonstrated increased intestinal permeability in DM type 1 patients in vivo, which was associated with increased MYO9B gene expression. Their findings indicated a close link between MYO9B expression and changes in intestinal permeability [26]. MYO9B is a single motor protein with a Rho GTPase-activating domain, which downregulates Rho-dependent signaling pathways by converting active Rho-GTP into inactive Rho-GDP [9]. GTPases of the Rho family have been demonstrated to be involved in the regulation of tight junction function and actin filament remodeling, which lead to enhanced paracellular epithelial permeability [27, 28]. Therefore, it is reasonable to hypothesize that MYO9B may cause impaired intestinal barrier integrity. Furthermore, IBD is often characterized by increased permeability of intestinal epithelium [29, 30]. These findings suggest that MY09B may play an important role in the pathogenesis of IBD, and that MY09B is a candidate susceptibility gene for IBD. To date, several studies have assessed associations between MYO9B gene polymorphisms and IBD susceptibility; however, they reported conflicting results. Several studies [14, 17, 19, 21] did not find MYO9B to be a candidate gene for IBD, while other studies [15, 16, 18, 20] suggested this gene was significantly associated with IBD, CD or UC risk. However, these studies had inadequate statistical power and involved relatively small samples. To overcome these limitations, we conducted a meta-analysis to assess associations between MY09B gene polymorphisms and the risk of IBD, CD and UC. We determined that rs1545620 was associated with a decreased risk of IBD and rs2305767 was associated with a decreased risk of UC. Moreover, three other SNPs (rs962917, rs1457092 and rs2305764) increased the risk of IBD, CD or UC. It is noteworthy that only rs962917 was related to the risk of CD in this meta-analysis, while the four other SNPs were not. We found that rs1457092 and rs2305767 were associated with the risk of UC. Previous studies have demonstrated genetic differences between CD and UC [31]. Twin concordance rate data have indicated that the heritable component is less crucial for UC than for CD [32].A Spanish study [20] by Nunez et al. found that MYO9B gene polymorphisms were not correlated with CD, but were with UC. Van Bodegraven et al. reported that MY09B was more strongly associated with UC than with CD [18]. Furthermore, they found MY09B gene polymorphisms were not associated with CD in the Canadian/Italian populations [18]. It is therefore reasonable to assume that MYO9B may affect susceptibility to UC specifically. With regard to rs962917, only three studies [16, 17, 21] involving 1,500 cases and 2,005 controls addressed the association between this SNP and CD; however, these studies involved a smaller sample size compared with works focusing on the other four SNPs. Any association between SNPs in genes with diseases is greatly affected by the number of subjects. Given the small number of participants, we should interpret the relationship between rs962917 and CD with caution. Furthermore, the power of this meta-analysis about rs962917 polymorphism was smaller compared with other four polymorphisms. The power of rs1457092, rs2305764, rs2305767 and rs1545620 polymorphisms was greater than 0.95, which suggested that our data were trustworthy. Further studies on the role of MY09B in UC are warranted. Analyses stratified by ethnicity indicated that rs1545620 decreased the risk of IBD in Caucasian populations. Our data also suggest that rs962917 increased the risk of IBD, CD and UC in Caucasian populations. However, a relationship between MY09B and IBD, CD or UC was not detected in Asian populations. The genetic background of IBD may vary among ethnicities. Previous studies have demonstrated OCTN or CARD15 gene variations to be associated with susceptibility to CD in Caucasian populations [33, 34], but not in Asian populations [35]. Two Asian studies from China [17, 19] reported no associations between MY09B gene polymorphisms and IBD. Although Hu et al. revealed that MYO9B gene might influence the sub-phenotypic expression of CD, they did not find an association between these MYO9B polymorphisms and intestinal permeability in IBD [17]. It is intriguing to hypothesize that variations in MYO9B predispose Caucasians to IBD. However, we cannot definitively state that MYO9B is not related to IBD in Asian patients, because this meta-analysis included only two Chinese studies [17, 19] with limited sample sizes. Larger-scale studies are urgently needed to assess associations between MYO9B gene polymorphisms and IBD in Asian populations and other ethnicities. Among all included studies, one Chinese study [17] did not conform to HWE with respect to the rs1545620 polymorphism. After excluding this study, the pooled estimates of the remaining studies indicated that the rs1545620 polymorphism might decrease the risk of IBD (Table 3), consistent with the initial result. Heterogeneity was not reduced after exclusion of the Chinese study; it is thus tempting to speculate that this may not have been a source of heterogeneity. A sensitivity analysis of rs1545620 omitting the study by Latiano et al. [16] significantly altered the pooled ORs for the effect of this SNP on the risk of IBD, CD or UC, suggesting that the rs1545620 data are poorly reliable. It is noting that this study [16] did not provide the basic data of controls. We did not make sure whether the controls in this study were matched cases for age, sex or other confounders. As a result, we could not exclude the possibility that their results were false positive. The reasons why this study [16] affected the results of rs1545620 polymorphism remained unclear, but may be partially explained by above assumption. As for other reasons, clinical heterogeneity, and different ethnic populations may explain it, which needs further verification. Several potential limitations of this meta-analysis should be taken into consideration. First, one Chinese study did not conform to HWE with respect to rs1545620 polymorphism; however, our data indicated the results of this SNP were trustworthy. Second, the numbers of studies included in the meta-analysis was small, and the sample size of this meta-analysis was not large enough. Third, our results were based on unadjusted estimates, without considering other confounders (such as age, gender, or environmental factors); thus, a more precise analysis should be performed, assuming the availability of individual data. Fourth, due to inclusion of only two Asian studies, we could not conduct analyses on rs1457092, rs2305764 or rs2305767 stratified by ethnicity. Future studies that include Asian populations and other ethnic groups are warranted due to ethnic differences in gene polymorphisms. Fifth, the heterogeneity of this meta-analysis was high in some genetic models. In conclusion, this meta-analysis indicated that five SNPs within MY09B were associated with the risk of IBD, CD or UC. Future large-scale studies in Asian populations and other ethnicities are urgently needed to more accurately characterize associations between MY09B gene polymorphisms and IBD, CD and UC.

MATERIALS AND METHODS

Literature search

We performed a comprehensive search in PubMed, Embase, and CNKI databases to identify studies through January 1, 2016 that were related with the MY09B gene polymorphisms and IBD, CD or UC. The following search terms were used: “inflammatory bowel disease,” “IBD” “ulcerative disease,” “UC,” “Crohn's disease,” “CD,” “MYO9B,” “myosin IXB” and “polymorphisms”. Two independent authors conducted the search. No language or other restrictions were placed on the search. We also performed a manual search of references cited in published articles to identify other initially omitted studies. Any disagreements were resolved by consensus.

Criteria of inclusion and exclusion

Criteria for the inclusion in this analysis were: (1) studies that evaluated the associations between UC or CD or IBD with at least one of the five single nucleotide polymorphisms (SNPs), (2) studied on human beings, (3) study provided sufficient data to calculate the Odds ratios (ORs) and 95% confidence intervals (CIs), and P value, and (4) case-control study. Exclusion criteria were: (1) duplication of previous publications; (2) review, editorial, or other non-original studies; (3) studies without detailed genotype data; (4) studies were without control group.

Data extraction and quality assessment

For all eligible studies, the extracted information including: name of first author, publication year, country of origin, ethnicity, numbers of cases (UC and CD) and controls, and polymorphisms. Two authors independently performed the extraction of data and evaluated the study quality based on the Newcastle-Ottawa Scale (NOS) [36]. Total NOS scores ranged from 0 to 9. A score ranging 5 to 9 stars is considered to be a generally high methodological quality whereas a score ranging 0 to 4 is regarded as a relatively poor quality [37]. They compared results and agreed on a consensus; disagreements were resolved by discussion.

Statistical analysis

All statistical analyses were performed using the Stata 11.0 software (StataCorp, College Station, TX, USA). Pooled ORs and 95% CIs were calculated to assess the associations between UC or CD or IBD and the five polymorphisms of MY09B gene. P < 0.05 was considered statistically significant. Heterogeneity was evaluated by the Q statistic (significant at P < 0.1) and I2 statistic (where > 50% indicates significant heterogeneity) [38]. A fixed-effect model was used for comparing the trials without showing heterogeneity, whereas a random effect model was selected for comparing trials showing heterogeneity. Pooled ORs were calculated for allele model, the dominant model, the recessive model and the homozygous model. We performed sensitivity analyses by omitting each study in turn to determine the effect on the test of heterogeneity and evaluated the stability of the overall results. Hardy-Weinberg equilibrium (HWE) was assessed in the controls using Pearson's χ2 test. Potential publication bias was investigated with the use of Begger's and Egger's linear regression test [39]; P < 0.05 was considered to indicate statistically significant. The power of this meta-analysis for five SNPs was calculated according to the method recommended by Hedges and Pigott [40], with a significant value of 0.05. We calculated the FPRP of this meta-analysis based on the methods of Wacholder et al. [41] and preset an FPRP value of 0.5.
  41 in total

1.  The power of statistical tests in meta-analysis.

Authors:  L V Hedges; T D Pigott
Journal:  Psychol Methods       Date:  2001-09

2.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

3.  RhoA, Rac1, and Cdc42 exert distinct effects on epithelial barrier via selective structural and biochemical modulation of junctional proteins and F-actin.

Authors:  Matthias Bruewer; Ann M Hopkins; Michael E Hobert; Asma Nusrat; James L Madara
Journal:  Am J Physiol Cell Physiol       Date:  2004-03-24       Impact factor: 4.249

Review 4.  The genetics of inflammatory bowel disease.

Authors:  Judy H Cho; Casey T Weaver
Journal:  Gastroenterology       Date:  2007-10       Impact factor: 22.682

5.  MYO9B polymorphisms in patients with inflammatory bowel disease.

Authors:  C Núñez; J Oliver; J L Mendoza; M Gómez-García; A Piñero; C Taxonera; M Díaz-Rubio; M A López-Nevot; E G de la Concha; A Nieto; E Urcelay; A Martínez; J Martín
Journal:  Gut       Date:  2007-09       Impact factor: 23.059

6.  Dissecting genetic predisposition to inflammatory bowel disease: current progress and prospective application.

Authors:  Vito Annese; Anna Latiano; Orazio Palmieri; Angelo Andriulli
Journal:  Expert Rev Clin Immunol       Date:  2007-05       Impact factor: 4.473

7.  Associations with tight junction genes PARD3 and MAGI2 in Dutch patients point to a common barrier defect for coeliac disease and ulcerative colitis.

Authors:  M C Wapenaar; A J Monsuur; A A van Bodegraven; R K Weersma; M R Bevova; R K Linskens; P Howdle; G Holmes; C J Mulder; G Dijkstra; D A van Heel; C Wijmenga
Journal:  Gut       Date:  2007-11-07       Impact factor: 23.059

8.  Association of MYO9B gene polymorphisms with inflammatory bowel disease in Chinese Han population.

Authors:  Jing Hu; Qiao Mei; Jian Huang; Nai-Zhong Hu; Xiao-Chang Liu; Jian-Ming Xu
Journal:  World J Gastroenterol       Date:  2014-06-21       Impact factor: 5.742

9.  The association of MYO9B gene in Italian patients with inflammatory bowel diseases.

Authors:  A Latiano; O Palmieri; M R Valvano; R D'Incà; R Caprilli; S Cucchiara; G C Sturniolo; F Bossa; A Andriulli; V Annese
Journal:  Aliment Pharmacol Ther       Date:  2007-10-15       Impact factor: 8.171

10.  Genetic variation in myosin IXB is associated with ulcerative colitis.

Authors:  Adriaan A van Bodegraven; Christine R Curley; Karen A Hunt; Alienke J Monsuur; Ronald K Linskens; Clive M Onnie; J Bart A Crusius; Vito Annese; Anna Latiano; Mark S Silverberg; Alain Bitton; Sheila A Fisher; A Hilary Steinhart; Alastair Forbes; Jeremy Sanderson; Natalie J Prescott; David P Strachan; Raymond J Playford; Christopher G Mathew; Cisca Wijmenga; Mark J Daly; John D Rioux; David A van Heel
Journal:  Gastroenterology       Date:  2006-09-08       Impact factor: 22.682

View more
  4 in total

1.  The Correlation Between MYO9B Gene Polymorphism and Inflammatory Bowel Disease in the Guangxi Zhuang Population.

Authors:  Rui-Zhi Zeng; Xiao-Dan Lv; Geng-Feng Liu; Guang-Li Gu; Shi-Quan Li; Lan Chen; Jun-Hua Fan; Zhao-Liang Liang; Hui-Qin Wang; Fei Lu; Ling-Ling Zhan; Xiao-Ping Lv
Journal:  Int J Gen Med       Date:  2021-12-01

Review 2.  Rho GTPase Regulators and Effectors in Autism Spectrum Disorders: Animal Models and Insights for Therapeutics.

Authors:  Daji Guo; Xiaoman Yang; Lei Shi
Journal:  Cells       Date:  2020-03-31       Impact factor: 6.600

3.  Association between the polymorphisms of CALM1 gene and osteoarthritis risk: a meta-analysis based on observational studies.

Authors:  Haoyu Yang; Zhiyong Hu; Chao Zhuang; Ruiping Liu; Yunkun Zhang
Journal:  Biosci Rep       Date:  2018-10-31       Impact factor: 3.840

Review 4.  Pancreatic Associated Manifestations in Pediatric Inflammatory Bowel Diseases.

Authors:  Ugo Cucinotta; Claudio Romano; Valeria Dipasquale
Journal:  Genes (Basel)       Date:  2021-08-31       Impact factor: 4.096

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.