Background
Methods
Literature search and databases
Selection criteria
Quality assessment
Data extraction
Statistical analysis
Results
Characteristics of eligible studies
Author | Year | Region | Case AA | Case Aa | Case aa | Control AA | Control Aa | Control aa | HWE-p |
---|---|---|---|---|---|---|---|---|---|
Abd El-Aziz TA [15] | 2016 | Egyptian | 92 | 34 | 6 | 63 | 63 | 9 | 0.1967 |
LI.S.H [17] | 2013 | Chinese | 18 | 2 | 1 | 43 | 2 | 0 | 0.8788 |
Huang G [24] | 2012 | Chinese | 165 | 35 | 5 | 190 | 42 | 4 | 0.3529 |
MA.J [16] | 2011 | Chinese | 80 | 9 | 0 | 55 | 22 | 1 | 0.4617 |
Anghebem [22] | 2009 | Brazilian | 93 | 113 | 45 | 46 | 76 | 26 | 0.5747 |
BELGIN [18] | 2005 | Turkish | 47 | 85 | 18 | 46 | 46 | 8 | 0.4516 |
Marcos [20] | 2001 | Brazilian | 17 | 37 | 13 | 24 | 35 | 8 | 0.3769 |
Luis A [21]. | 2000 | Brazilian | 42 | 48 | 10 | 12 | 34 | 54 | 0.0812 |
VADIM.A [23] | 1998 | Russian | 31 | 55 | 32 | 25 | 49 | 18 | 0.4933 |
Seung [25] | 1997 | Korean | 209 | 25 | 1 | 195 | 21 | 0 | 0.4527 |
Ju-Pin [19] | 1995 | Chinese | 144 | 4 | 0 | 151 | 2 | 0 | 0.9351 |
YE.P [12] | 1994 | Chinese | 64 | 16 | 0 | 59 | 1 | 0 | 0.9481 |
Heterogeneity assessment
Genetic models | I2 | p | Effect model |
---|---|---|---|
Allelic models(a vs A) | 87.1% | < 0.0001 | Random effects model |
Recessive gene models(aa vs Aa/aa) | 79.2% | < 0.0001 | Random effects model |
Dominant gene models(aa/Aa vs AA) | 81.1% | < 0.0001 | Random effects model |
I2 | OR(95%CI) | P | I2 | OR(95%CI) | P | I2 | OR(95%CI) | P | |
---|---|---|---|---|---|---|---|---|---|
Genetic models | a vs A | aa vs AA/Aa | aa/Aa vs AA | ||||||
Over all | 87.1% | 0.95(0.62–1.46) | 0.811 | 79.2% | 0.94(0.45–1.96) | 0.860 | 81.1% | 0.92(0.58–1.47) | 0.73 |
Asians | 92.3% | 1.32(0.63–2.78) | 0.464 | 0.0% | 1.52(0.55–4.21) | 0.422 | 73.4% | 1.26(0.58–2.73) | 0.551 |
Caucasians | 74.3% | 0.79(0.45–1.39) | 0.410 | 87.5% | 0.75(0.57–0.99) | 0.041 | 86.9% | 0.75(0.40–1.43) | 0.385 |
Data merging
Publication bias
Genetic models | Std | t | p | 95%CI |
---|---|---|---|---|
a vs A | 1.878 | 0.72 | 0.49 | −2.84-5.53 |
aa vs AA/Aa | 1.534 | 0.32 | 0.76 | −3.05-4.02 |
aa/Aa vs AA | 1.728 | 0.86 | 0.41 | −2.37-5.33 |
Sensitivity analysis
Study omitted | Estimate | 95% Conf. Interval | |
---|---|---|---|
Abd El-Aziz TA | 1.03 | 0.65 | 1.63 |
LI.S.H | 0.89 | 0.58 | 1.37 |
Huang G | 0.95 | 0.59 | 1.5 |
MA.J | 1.05 | 0.67 | 1.6 |
Anghebem-Oliveira | 0.98 | 0.59 | 1.63 |
BELGIN S. DUMAN | 0.90 | 0.57 | 1.43 |
Marcos O. Machado | 0.91 | 0.57 | 1.45 |
Luis A. Salazar | 1.06 | 0.76 | 1.48 |
VADIM A | 0.94 | 0.58 | 1.51 |
Seung Ho Hong | 0.93 | 0.59 | 1.48 |
Ju-Pin Pan | 0.92 | 0.59 | 1.43 |
YE.P | 0.87 | 0.57 | 1.32 |
Combined | 0.95 | 0.62 | 1.46 |