Meta-Analysis for the Association between Polymorphisms in Interleukin-17A and Risk of Coronary Artery Disease
Abstract
:1. Introduction
2. Experimental Section
2.1. Publication Search Strategy and Inclusion Criteria
2.2. Data Extraction
2.3. Quality Assessment
2.4. Statistical Methods
3. Results and Discussion
3.1. Characteristics of Eligible Studies
3.2. Results of Meta-Analysis
3.2.1. IL-17A rs2275913 and CAD
3.2.2. IL-17A rs8193037 and CAD
3.2.3. IL-17A rs3748067 and CAD
3.2.4. IL-17A rs3819024, rs3819025 and CAD
3.2.5. IL-17A rs4711998, rs8193036, and CAD
3.3. Sources of Heterogeneity
3.4. Sensitivity Analysis
3.5. Publication Bias
4. Discussion
5. Conclusions
Supplementary Materials
Acknowledgments
Author Contributions
Conflicts of Interest
References
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IL-17A rs2275913 and CAD | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Author | Year | Country | Ethnicity | Genotyping Methods | Sex Ratio (Male:Female) (Case/Control) | Age (Case/Control) | Quality Score | Sample Size (Case/Control) | GG | GA | AA | HWE of Control |
(Case/Control) | (Case/Control) | (Case/Control) | ||||||||||
Shuang, L. [8] | 2015 | China | Asian | PCR-RFLP | 321:94/265:183 | 59.20 ± 10.85/ 60.10 ± 10.35 | 13 | 415/452 | 168/220 | 187/196 | 60/36 | 0.401 |
Zheng, X.S. [11] | 2015 | China | Asian | PCR-RFLP | 280:92/280:92 | 62.15 ± 11.30/ 61.74 ± 10.95 | 13 | 372/372 | 162/179 | 170/163 | 40/30 | 0.398 |
Geng, G.Y. [7] | 2015 | China | Asian | PCR-RFLP | 234:72/234:72 | 61.5 ± 10.5/ 60.3 ± 9.8 | 13 | 306/306 | 123/146 | 140/134 | 43/26 | 0.541 |
Vargas-Alarcón, G. [9] | 2015 | Mexico | Caucasian | Taqman | 253:414/744:156 | 54 [49,58]/ 52 [47,58] | 14 | 898/667 | 616/439 | 259/202 | 23/26 | 0.648 |
Zhang, X. [10] | 2011 | China | Asian | Sequencing PCR | 612:419/524:411 | 55.9 ± 10.1/ 55.2 ± 10.5 | 12 | 1031/935 | 290/266 | 535/489 | 206/180 | 0.093 |
IL-17A rs3819025 and CAD | ||||||||||||
Author | Year | Country | Ethnicity | Genotyping Methods | Sex Ratio (Male:Female) (Case/Control) | Age (Case/Control) | Quality Score | Sample Size (Case/Control) | AA | AG | GG | HWE of Control |
(Case/Control) | (Case/Control) | (Case/Control) | ||||||||||
Shuang, L. [8] | 2015 | China | Asian | PCR-RFLP | 321:94/265:183 | 59.20 ± 10.85/ 60.10 ± 10.35 | 13 | 415/448 | 179/212 | 177/180 | 59/56 | 0.07 |
Zhang, X. [10] | 2011 | China | Asian | Sequencing PCR | 612:419/524:411 | 55.9 ± 10.1/ 55.2 ± 10.5 | 12 | 1031/935 | 635/554 | 358/342 | 38/39 | 0.125 |
IL-17A rs3748067 and CAD | ||||||||||||
Author | Year | Country | Ethnicity | Genotyping Methods | Sex Ratio (Male:Female) (Case/Control) | Age (Case/Control) | Quality Score | Sample Size (Case/Control) | TT | TC | CC | HWE of Control |
(Case/Control) | (Case/Control) | (Case/Control) | ||||||||||
Shuang, L. [8] | 2015 | China | Asian | PCR-RFLP | 321:94/265:183 | 59.20 ± 10.85/ 0.10 ± 10.35 | 10 | 415/448 | 301/339 | 91/95 | 23/14 | 0.03 |
Zheng, X.S. [11] | 2015 | China | Asian | PCR-RFLP | 280:92/280:92 | 62.15 ± 11.30/ 61.74 ± 10.95 | 10 | 372/372 | 243/276 | 73/79 | 57/17 | <0.0001 |
IL-17A rs3819024 and CAD | ||||||||||||
Author | Year | Country | Ethnicity | Genotyping Methods | Sex Ratio (Male:Female) (Case/Control) | Age (Case/Control) | Quality Score | Sample Size (Case/Control) | AA | AG | GG | HWE of Control |
(Case/Control) | (Case/Control) | (Case/Control) | ||||||||||
Vargas-Alarcón, G. [9] | 2015 | Mexico | Caucasian | Taqman | 253:414/744:156 | 54 [49,58]/ 52 [47,58] | 14 | 898/667 | 615/434 | 259/209 | 24/24 | 0.851 |
Zhang, X. [10] | 2011 | China | Asian | Sequencing PCR | 612:419/524:411 | 55.9 ± 10.1/ 55.2 ± 10.5 | 12 | 1031/935 | 230/219 | 542/470 | 259/246 | 0.850 |
IL-17A rs8193037 and CAD | ||||||||||||
Author | Year | Country | Ethnicity | Genotyping Methods | Sex Ratio (Male:Female) (Case/Control) | Age (Case/Control) | Quality Score | Sample Size (Case/Control) | GG | GA | AA | HWE of Control |
(Case/Control) | (Case/Control) | (Case/Control) | ||||||||||
Vargas-Alarcón, G. [9] | 2015 | Mexico | Caucasian | Taqman | 253:414/744:156 | 54 [49,58]/ 52 [47,58] | 14 | 898/667 | 763/578 | 126/83 | 9/6 | 0.125 |
Zhang, X. [10] | 2011 | China | Asian | Sequencing PCR | 612:419/524:411 | 55.9 ± 10.1/ 55.2 ± 10.5 | 12 | 1031/935 | 896/759 | 126/166 | 9/10 | 0.784 |
Zhang XL [17] | 2010 | China | Asian | PCR-RFLP | 291:229/283:197 | 55.9 ± 10.1/ 55.2 ± 10.5 | 11 | 520/480 | 452/390 | 63/85 | 5/5 | 0.878 |
IL-17A rs819336 and CAD | ||||||||||||
Author | Year | Country | Ethnicity | Genotyping Methods | Sex Ratio (Male:Female) (Case/Control) | Age (Case/Control) | Sample Size (Case/Control) | TT | TC | CC | HWE of Control | |
(Case/Control) | (Case/Control) | (Case/Control) | ||||||||||
Vargas-Alarcón, G. [9] | 2015 | Mexico | Caucasian | Taqman | 253:414/744:156 | 54 [49,58]/ 52 [47,58] | 898/667 | 546/409 | 303/221 | 46/34 | 0.561 | |
IL-17A rs4711998 and CAD | ||||||||||||
Author | Year | Country | Ethnicity | Genotyping Methods | Sex Ratio (Male:Female) (Case/Control) | Age (Case/Control) | Quality Score | Sample Size (Case/Control) | AA | AG | GG | HWE of Control |
(Case/Control) | (Case/Control) | (Case/Control) | ||||||||||
Zhang, X. [10] | 2011 | China | Asian | Sequencing PCR | 612:419/524:411 | 55.9 ± 10.1/ 55.2 ± 10.5 | 12 | 1031/935 | 626/593 | 349/295 | 56/47 | 0.194 |
IL-17A rs2275913 and CAD | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Genetic Model | N | OR (95% CI) | p | padj | I2 (%) | Genetic Model | N | OR (95% CI) | p | padj | I2 (%) | ||||
GG vs. AA | Overall | 5 | 0.75 (0.50, 1.12) | 0.16 | - | 75 | GG vs. GA | Overall | 5 | 0.94 (0.84, 1.06) | 0.32 | - | 9 | ||
Small size | 3 | 0.53 (0.40, 0.71) | <0.0001 | <0.0001 | 0 | Small size | 3 | 0.82 (0.69, 0.98) | 0.03 | 0.21 | 0 | ||||
Large size | 2 | 1.15 (0.71, 1.86) | 0.57 | - | 60 | Large size | 2 | 1.04 (0.90, 1.21) | 0.60 | - | 0 | ||||
Asian | 4 | 0.68 (0.40, 1.14) | 0.03 | 0.21 | 69 | Asian | 4 | 0.89 (0.78, 1.02) | 0.10 | - | 0 | ||||
Caucasian | 1 | 1.59 (0.89, 2.82) | 0.12 | - | N.A | Caucasian | 1 | 1.09 (0.88, 1.37) | 0.42 | - | N.A | ||||
GG vs. GA/AA | Overall | 5 | 0.89 (0.74, 1.06) | 0.18 | - | 59 | G vs. A | Overall | 5 | 0.88 (0.75, 1.04) | 0.15 | - | 75 | ||
Small size | 3 | 0.76 (0.64, 0.90) | 0.001 | 0.007 | 0 | Small size | 3 | 0.77 (0.68, 0.87) | <0.0001 | <0.0001 | 0 | ||||
Large size | 2 | 1.05 (0.91, 1.21) | 0.50 | - | 0 | Large size | 2 | 1.05 (0.90, 1.22) | 0.57 | - | 50 | ||||
Asian | 4 | 0.83 (0.71, 0.98) | 0.02 | 0.14 | 33 | Asian | 4 | 0.83 (0.71, 0.97) | 0.02 | 0.14 | 65 | ||||
Caucasian | 1 | 1.13 (0.92, 1.40) | 0.25 | - | N.A | Caucasian | 1 | 1.15 (0.96, 1.38) | 0.14 | - | N.A | ||||
IL-17A rs8193037 and CAD | |||||||||||||||
Genetic Model | N | OR (95% CI) | p | padj | I2 (%) | Genetic Model | N | OR (95% CI) | p | padj | I2 (%) | ||||
GG vs. AA | Overall | 3 | 1.12 (0.61, 2.02) | 0.72 | - | 0 | GG vs. GA | Overall | 3 | 1.28 (0.87, 1.89) | 0.21 | - | 80 | ||
Asian | 2 | 1.26 (0.60, 2.61) | 0.54 | - | 0 | Asian | 2 | 1.56 (1.27, 1.91) | <0.0001 | <0.0001 | 0 | ||||
Caucasian | 1 | 0.88 (0.31, 2.49) | 0.81 | - | N.A | Caucasian | 1 | 0.87 (0.65, 1.17) | 0.36 | - | N.A | ||||
GG vs. GA/AA | Overall | 3 | 1.27 (0.87, 1.85) | 0.21 | - | 80 | G vs. A | Overall | 3 | 1.23 (0.88, 1.73) | 0.22 | - | 79 | ||
Asian | 2 | 1.54 (1.26, 1.88) | <0.0001 | <0.0001 | 0 | Asian | 2 | 1.47 (1.22, 1.76) | <0.0001 | <0.0001 | 0 | ||||
Caucasian | 1 | 0.87 (0.65, 1.16) | 0.35 | - | N.A | Caucasian | 1 | 0.88 (0.67, 1.15) | 0.35 | - | N.A | ||||
IL-17A rs3819024 and CAD | IL-17A rs3819025 and CAD | ||||||||||||||
Genetic Model | N | OR (95% CI) | p | padj | I2 (%) | N | OR (95% CI) | p | padj | I2 (%) | |||||
AA vs. GG | 2 | 1.06 (0.84, 1.33) | 0.65 | - | 16 | AA vs. GG | 2 | 0.95 (0.70, 1.30) | 0.76 | - | 32 | ||||
AA vs. GA | 2 | 1.02 (0.82, 1.28) | 0.85 | - | 51 | AA vs. GA | 2 | 1.02 (0.87, 1.19) | 0.82 | - | 48 | ||||
AA vs. GA/GG | 2 | 1.05 (0.85, 1.29) | 0.68 | - | 51 | AA vs. GA/GG | 2 | 0.98 (0.76, 1.27) | 0.90 | - | 62 | ||||
A vs. G | 2 | 1.05 (0.95, 1.16) | 0.37 | - | 39 | A vs. G | 2 | 0.99 (0.80, 1.22) | 0.89 | - | 65 | ||||
IL-17A rs8193036 and CAD | IL-17A rs3748067 and CAD | ||||||||||||||
Genetic Model | N | OR (95% CI) | P | padj | I2 (%) | Genetic Model | N | OR (95% CI) | P | padj | I2 (%) | ||||
TT vs. CC | 1 | 0.99 (0.62, 1.57) | 0.95 | - | N.A | TT vs. CC | 2 | 0.37 (0.18, 0.74) | 0.005 | 0.04 | 61 | ||||
TT vs. TC | 1 | 0.97 (0.78, 1.21) | 0.81 | - | N.A | TT vs. TC | 2 | 0.94 (0.74, 1.20) | 0.61 | - | 0 | ||||
TT vs. TC/CC | 1 | 0.98 (0.79, 1.20) | 0.81 | - | N.A | TT vs. TC/CC | 2 | 0.75 (0.60, 0.93) | 0.009 | 0.06 | 30 | ||||
T vs. C | 1 | 0.98 (0.83, 1.17) | 0.84 | - | N.A | T vs. C | 2 | 0.66 (0.44, 0.98) | 0.04 | 0.28 | 79 | ||||
IL-17A rs4711998 and CAD | |||||||||||||||
Genetic Model | N | OR (95% CI) | P | padj | I2 (%) | ||||||||||
AA vs. GG | 1 | 0.89 (0.59, 1.33) | 0.56 | - | N.A | ||||||||||
AA vs. GA | 1 | 0.89 (0.74, 1.08) | 0.24 | - | N.A | ||||||||||
AA vs. GA/GG | 1 | 0.89 (0.74, 1.07) | 0.22 | - | N.A | ||||||||||
A vs. G | 1 | 0.91 (0.78, 1.06) | 0.24 | - | N.A |
Genetic Models | Egger’s Test p Value | Begg’s Test p Value |
---|---|---|
GG vs. AA | 0.054 | 0.462 |
GG vs. GA | 0.041 | 0.221 |
GG vs. GA/AA | 0.041 | 0.221 |
G vs. A | 0.029 | 0.221 |
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Share and Cite
Bao, M.-H.; Luo, H.-Q.; Xiang, J.; Tang, L.; Dong, L.-P.; Li, G.-Y.; Zeng, J.; Li, J.-M. Meta-Analysis for the Association between Polymorphisms in Interleukin-17A and Risk of Coronary Artery Disease. Int. J. Environ. Res. Public Health 2016, 13, 660. https://doi.org/10.3390/ijerph13070660
Bao M-H, Luo H-Q, Xiang J, Tang L, Dong L-P, Li G-Y, Zeng J, Li J-M. Meta-Analysis for the Association between Polymorphisms in Interleukin-17A and Risk of Coronary Artery Disease. International Journal of Environmental Research and Public Health. 2016; 13(7):660. https://doi.org/10.3390/ijerph13070660
Chicago/Turabian StyleBao, Mei-Hua, Huai-Qing Luo, Ju Xiang, Liang Tang, Li-Ping Dong, Guang-Yi Li, Jie Zeng, and Jian-Ming Li. 2016. "Meta-Analysis for the Association between Polymorphisms in Interleukin-17A and Risk of Coronary Artery Disease" International Journal of Environmental Research and Public Health 13, no. 7: 660. https://doi.org/10.3390/ijerph13070660