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. 2021 Jan 15;11(1):58. doi: 10.3390/life11010058

Table 4.

The results of Forest plot analysis of NSCL/P risk related to the ABCA4 rs481931 polymorphism using the five genetic models.

Genetic Model First Author, Publication Year NSCL/P Control Weight Odds Ratio
Events Total Events Total M-H, Fixed, 95%CI
A vs. C Fontoura, 2012 243 766 306 806 26.6% 0.76 [0.62, 0.94]
Mostowska, 2012 183 412 422 892 19.4% 0.89 [0.70, 1.13]
Mi, 2015 179 444 265 648 16.8% 0.98 [0.76, 1.25]
Babu Gurramkonda, 2015 138 288 151 352 9.2% 1.22 [0.90, 1.67]
Velázquez-Aragón, 2016 125 260 237 510 10.9% 1.07 [0.79, 1.44]
Wu, 2018 186 496 224 560 17.2% 0.90 [0.70, 1.15]
Subtotal (95%CI) 2666 3768 100.0% 0.92 [0.83, 1.02]
Total Events 1054 1605
Heterogeneity: Chi2 = 7.74, df = 5 (p = 0.17); I2 = 35%; Test for overall effect: Z = 1.57 (p = 0.12)
AA vs. CC Fontoura, 2012 44 228 57 211 26.6% 0.65 [0.41, 1.01]
Mostowska, 2012 29 108 94 250 23.1% 0.61 [0.37, 1.00]
Babu Gurramkonda, 2015 35 76 32 89 8.8% 1.52 [0.81, 2.84]
Mi, 2015 36 115 54 167 16.8% 0.95 [0.57, 1.59]
Velázquez-Aragón, 2016 27 59 53 124 10.3% 1.13 [0.61, 2.11]
Wu, 2018 30 122 35 126 14.4% 0.85 [0.48, 1.50]
Subtotal (95%CI) 708 967 100.0% 0.85 [0.68, 1.05]
Total Events 201 325
Heterogeneity: Chi2 = 7.49, df = 5 (p = 0.19); I2 = 33%; Test for overall effect: Z = 1.52 (p = 0.13)
CA vs. CC Fontoura, 2012 155 339 192 346 31.0% 0.68 [0.50, 0.91]
Mostowska, 2012 98 177 196 352 17.6% 0.99 [0.69, 1.42]
Mi, 2015 107 186 157 270 16.3% 0.97 [0.67, 1.42]
Babu Gurramkonda, 2015 68 109 87 144 8.5% 1.09 [0.65, 1.81]
Velázquez-Aragón, 2016 71 103 131 202 8.3% 1.20 [0.72, 2.00]
Wu, 2018 126 218 154 245 18.4% 0.81 [0.56, 1.18]
Subtotal (95% CI) 1132 1559 100.0% 0.88 [0.75, 1.03]
Total Events 625 917
Heterogeneity: Chi2 = 5.93, df = 5 (p = 0.31); I2 = 16%; Test for overall effect: Z = 1.57 (p = 0.12)
CA + AA vs. CC Fontoura, 2012 199 383 249 403 31.1% 0.67 [0.50, 0.89]
Mostowska, 2012 127 206 290 446 18.7% 0.86 [0.61, 1.22]
Babu Gurramkonda, 2015 103 144 119 176 8.1% 1.20 [0.74, 1.95]
Mi, 2015 143 222 211 324 16.3% 0.97 [0.68, 1.39]
Velázquez-Aragón, 2016 98 130 184 255 8.2% 1.18 [0.73, 1.92]
Wu, 2018 156 248 189 280 17.6% 0.82 [0.57, 1.17]
Subtotal (95%CI) 1333 1884 100.0% 0.87 [0.75, 1.00]
Total Events 826 1242
Heterogeneity: Chi2 = 7.05, df = 5 (p = 0.22); I2 = 29%; Test for overall effect: Z = 1.91 (p = 0.06)
AA vs. CC + CA Mostowska, 2012 29 206 94 446 23.6% 0.61 [0.39, 0.97]
Fontoura, 2012 44 383 57 403 22.8% 0.79 [0.52, 1.20]
Babu Gurramkonda, 2015 35 144 32 176 10.1% 1.44 [0.84, 2.48]
Mi, 2015 36 222 54 324 17.0% 0.97 [0.61, 1.53]
Velázquez-Aragón, 2016 27 130 53 255 13.1% 1.00 [0.59, 1.68]
Wu, 2018 30 248 35 280 13.4% 0.96 [0.57, 1.62]
Subtotal (95%CI) 1333 1884 100.0% 0.89 [0.74, 1.09]
Total Events 201 325
Heterogeneity: Chi2 = 6.39, df = 5 (p = 0.27); I2 = 22%; Test for overall effect: Z = 1.12 (p = 0.26)

Abbreviations: NSCL/P, non-syndromic cleft lip with or without a cleft palate; CI, confidence interval.