Polymorphisms of ATP-Binding Cassette, Sub-Family A, Member 4 (rs560426 and rs481931) and Non-Syndromic Cleft Lip/Palate: A Meta-Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Literature Search Strategy
2.2. Eligibility Criteria
2.3. Data Extraction
2.4. Quality of Assessment
2.5. Statistical Analyses
3. Results
3.1. Study Selection
3.2. Study Characteristics
3.3. Quality Assessment
3.4. Pooled Analysis
3.5. Subgroup Analysis
3.6. Meta-Regression
3.7. Sensitivity Analysis
3.8. Publication Bias
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
Abbreviations
ABCA4 | ATP-binding cassette, sub-family A, member 4 |
CI | Confidence interval |
GWAS | genome-wide association |
NSCL/P | Non-syndromic cleft lip/palate |
OR | Odds ratio |
ARHGAP29 | Rho GTPase Activating Protein 29 |
IRF6 | Interferon Regulatory Factor 6 |
References
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First Author, (Year) | Ethnic Group | Source of Controls | Mean Age, Year (NSCL/P Patients to Controls) | No. of Males, (NSCL/P Patients to Controls) | ABCA4 rs560426 | ABCA4 rs481931 | Genotyping Method | p-Value for HWE in Controls | ||
---|---|---|---|---|---|---|---|---|---|---|
AA/AG/GG | CC/CA/AA | |||||||||
Case | Control | Case | Control | |||||||
Pan et al. (2011) [27] | Asian | HB | 5.54 to 5.49 | 246 to 242 | 145/175/51 | 167/160/57 | NA | NA | TaqMan | 0.071 |
Fontoura et al. (2012) [32] | European descent | HB | 17.3 to 24.8 | 252 to 165 | 116/118/86 | 74/203/123 | 184/155/44 | 154/192/57 | TaqMan | 0.542/0.818 |
Huang et al. (2012) [28] | Asian | HB | NA | 169 to 203 | 135/126/39 | 157/171/26 | NA | NA | MALDI-TOF MS (Sequenom) | 0.024 |
Mostowska et al. (2012) [33] | European descent | HB | NA | NA | 62/105/39 | 120/230/96 | 79/98/29 | 156/196/94 | PCR-HRM | 0.467/0.028 |
Bagordakis et al. (2013) [31] | Mixed | PB | NA | NA | 74/140/85 | 127/172/85 | NA | NA | Multiplex PCR | 0.067 |
Zhong-wei et al. (2013) [29] | Asian | PB | NA | NA | 54/91/36 | 36/50/18 | NA | NA | TaqMan | 0.928 |
Ludwig et al. (2014) [9] | Mixed | PB | NA | 102 to 111 | 37/73/33 | 100/163/66 | NA | NA | MALDI-TOF MS (Sequenom) | 0.977 |
do Rego Borges et al. (2015) [23] | Mixed | HB | NA | NA | 76/152/65 | 74/187/91 | NA | NA | TaqMan | 0.223 |
Babu Gurramkonda et al. (2015) [34] | European descent | PB | NA | NA | 46/72/26 | 61/80/35 | 41/68/35 | 57/87/32 | Kompetitive allele specific PCR (KASP) | 0.348/0.905 |
Mi et al. (2015) [30] | Asian | HB | 4.98 to 5.20 | NA | 88/104/30 | 158/137/29 | 79/107/36 | 113/157/54 | Mini-sequencing (SNAPSHOT) | 0.928/0.965 |
Velázquez-Aragón et al. (2016) [7] | Mixed | PB | 5.5 to 1.33 | 99 to 132 | 44/56/32 | 54/137/68 | 32/71/27 | 71/131/53 | Kompetitive allele specific PCR (KASP) | 0.326/0.602 |
Wu et al. (2018) [8] | Asian | PB | NA | NA | 103/116/29 | 111/145/24 | 92/126/30 | 91/154/35 | PCR-RFLP | 0.014/0.015 |
First Author, (Year) | Selection (Four Points) | Comparability (Two Points) | Exposure (Three Points) | Total Points |
---|---|---|---|---|
Pan et al. (2011) [27] | *** | ** | *** | 8 |
Fontoura et al. (2012) [32] | *** | - | *** | 7 |
Huang et al. (2012) [28] | *** | * | *** | 7 |
Mostowska et al. (2012) [33] | *** | ** | *** | 8 |
Bagordakis et al. (2013) [31] | **** | - | *** | 7 |
Zhong-wei et al. (2013) [29] | **** | - | *** | 7 |
Ludwig et al. (2014) [9] | **** | - | *** | 7 |
do Rego Borges et al. (2015) [23] | *** | - | *** | 7 |
Babu Gurramkonda et al. (2015) [34] | **** | ** | *** | 9 |
Mi et al. (2015) [30] | *** | ** | *** | 8 |
Velázquez-Aragón et al. (2016) [7] | **** | * | *** | 8 |
Wu et al. (2018) [8] | **** | - | *** | 7 |
Genetic Model | First Author, Publication Year | NSCL/P | Control | Weight | Odds Ratio | ||
---|---|---|---|---|---|---|---|
Events | Total | Events | Total | M-H, Random, 95%CI | |||
G vs. A | Pan, 2011 | 277 | 742 | 274 | 768 | 9.2% | 1.07 [0.87, 1.32] |
Mostowska, 2012 | 183 | 412 | 422 | 892 | 8.7% | 0.89 [0.70, 1.13] | |
Huang, 2012 | 204 | 600 | 223 | 708 | 8.8% | 1.12 [0.89, 1.41] | |
Fontoura, 2012 | 290 | 640 | 449 | 800 | 9.2% | 0.65 [0.53, 0.80] | |
Zhong-wei, 2013 | 163 | 362 | 86 | 208 | 6.7% | 1.16 [0.82, 1.64] | |
Bagordakis, 2013 | 310 | 598 | 342 | 767 | 9.1% | 1.34 [1.08, 1.66] | |
Ludwig, 2014 | 139 | 286 | 295 | 658 | 7.9% | 1.16 [0.88, 1.54] | |
Mi, 2015 | 164 | 444 | 195 | 648 | 8.3% | 1.36 [1.05, 1.76] | |
do Rego Borges, 2015 | 282 | 586 | 369 | 704 | 9.0% | 0.84 [0.68, 1.05] | |
Babu Gurramkonda, 2015 | 124 | 288 | 150 | 352 | 7.2% | 1.02 [0.74, 1.39] | |
Velázquez-Aragón, 2016 | 120 | 264 | 273 | 518 | 7.5% | 0.75 [0.56, 1.01] | |
Wu, 2018 | 174 | 496 | 193 | 560 | 8.3% | 1.03 [0.80, 1.32] | |
Subtotal (95%CI) | 5718 | 7583 | 100.0% | 1.01 [0.88, 1.15] | |||
Total Events | 2430 | 3271 | |||||
Heterogeneity: Tau2 = 0.04; Chi2 = 39.48, df = 11 (p < 0.0001); I2 = 72%; Test for overall effect: Z = 0.10 (p = 0.92) | |||||||
GG vs. AA | Pan, 2011 | 51 | 226 | 57 | 224 | 9.1% | 0.85 [0.55, 1.32] |
Mostowska, 2012 | 39 | 101 | 96 | 216 | 8.8% | 0.79 [0.49, 1.27] | |
Huang, 2012 | 39 | 174 | 26 | 183 | 8.3% | 1.74 [1.01, 3.01] | |
Fontoura, 2012 | 86 | 202 | 123 | 197 | 9.4% | 0.45 [0.30, 0.67] | |
Zhong-wei, 2013 | 36 | 60 | 18 | 54 | 6.6% | 3.00 [1.39, 6.45] | |
Bagordakis, 2013 | 85 | 159 | 85 | 212 | 9.3% | 1.72 [1.13, 2.60] | |
Ludwig, 2014 | 33 | 70 | 66 | 166 | 8.1% | 1.35 [0.77, 2.37] | |
Mi, 2015 | 30 | 118 | 29 | 187 | 8.1% | 1.86 [1.05, 3.29] | |
do Rego Borges, 2015 | 65 | 141 | 91 | 165 | 9.0% | 0.70 [0.44, 1.09] | |
Babu Gurramkonda, 2015 | 26 | 72 | 35 | 96 | 7.6% | 0.99 [0.52, 1.86] | |
Velázquez-Aragón, 2016 | 32 | 76 | 68 | 122 | 8.0% | 0.58 [0.32, 1.03] | |
Wu, 2018 | 29 | 132 | 24 | 135 | 7.8% | 1.30 [0.71, 2.38] | |
Subtotal (95%CI) | 1531 | 1957 | 100.0% | 1.08 [0.79, 1.47] | |||
Total EVENTS | 551 | 718 | |||||
Heterogeneity: Tau2 = 0.23; Chi2 = 47.66, df = 11 (p < 0.00001); I2 = 77%; Test for overall effect: Z = 0.47 (p = 0.64) | |||||||
AG vs. AA | Pan, 2011 | 175 | 320 | 160 | 327 | 9.3% | 1.26 [0.92, 1.72] |
Mostowska, 2012 | 105 | 167 | 230 | 350 | 8.6% | 0.88 [0.60, 1.30] | |
Huang, 2012 | 126 | 261 | 171 | 328 | 9.2% | 0.86 [0.62, 1.19] | |
Fontoura, 2012 | 118 | 234 | 203 | 277 | 8.7% | 0.37 [0.26, 0.54] | |
Zhong-wei, 2013 | 91 | 145 | 50 | 86 | 6.9% | 1.21 [0.70, 2.09] | |
Bagordakis, 2013 | 140 | 214 | 172 | 299 | 8.8% | 1.40 [0.97, 2.01] | |
Ludwig, 2014 | 73 | 110 | 163 | 263 | 7.7% | 1.21 [0.76, 1.93] | |
Mi, 2015 | 104 | 192 | 137 | 295 | 8.8% | 1.36 [0.95, 1.96] | |
Babu Gurramkonda, 2015 | 72 | 118 | 80 | 141 | 7.4% | 1.19 [0.73, 1.96] | |
do Rego Borges, 2015 | 152 | 228 | 187 | 261 | 8.6% | 0.79 [0.54, 1.16] | |
Velázquez-Aragón, 2016 | 56 | 100 | 137 | 191 | 7.3% | 0.50 [0.30, 0.83] | |
Wu, 2018 | 116 | 219 | 145 | 256 | 8.8% | 0.86 [0.60, 1.24] | |
Subtotal (95% CI) | 2308 | 3074 | 100.0% | 0.93 [0.73, 1.17] | |||
Total Events | 1328 | 1835 | |||||
Heterogeneity: Tau2 = 0.13; Chi2 = 46.53, df = 11 (p < 0.00001); I2 = 76%; Test for overall effect: Z = 0.63 (p = 0.53) | |||||||
AG + GG vs. AA | Pan, 2011 | 226 | 371 | 217 | 384 | 9.1% | 1.20 [0.90, 1.60] |
Fontoura, 2012 | 204 | 320 | 326 | 400 | 8.7% | 0.40 [0.28, 0.56] | |
Huang, 2012 | 165 | 300 | 197 | 354 | 8.9% | 0.97 [0.71, 1.33] | |
Mostowska, 2012 | 144 | 206 | 326 | 446 | 8.5% | 0.85 [0.59, 1.23] | |
Zhong-wei, 2013 | 127 | 181 | 68 | 104 | 7.2% | 1.25 [0.74, 2.08] | |
Bagordakis, 2013 | 225 | 299 | 257 | 384 | 8.7% | 1.50 [1.07, 2.11] | |
Ludwig, 2014 | 106 | 143 | 229 | 329 | 7.8% | 1.25 [0.80, 1.95] | |
Mi, 2015 | 134 | 222 | 166 | 324 | 8.6% | 1.45 [1.03, 2.05] | |
do Rego Borges, 2015 | 217 | 293 | 278 | 352 | 8.5% | 0.76 [0.53, 1.10] | |
Babu Gurramkonda, 2015 | 68 | 144 | 115 | 176 | 7.7% | 0.47 [0.30, 0.75] | |
Velázquez-Aragón, 2016 | 88 | 132 | 205 | 259 | 7.6% | 0.53 [0.33, 0.84] | |
Wu, 2018 | 145 | 248 | 169 | 280 | 8.6% | 0.92 [0.65, 1.31] | |
Subtotal (95%CI) | 2859 | 3792 | 100.0% | 0.89 [0.70, 1.14] | |||
Total Events | 1849 | 2553 | |||||
Heterogeneity: Tau2 = 0.15; Chi2 = 59.28, df = 11 (p < 0.00001); I2 = 81%; Test for overall effect: Z = 0.90 (p = 0.37) | |||||||
GG vs. AA + AG | Pan, 2011 | 51 | 371 | 57 | 384 | 9.6% | 0.91 [0.61, 1.37] |
Fontoura, 2012 | 86 | 320 | 123 | 400 | 12.2% | 0.83 [0.60, 1.15] | |
Huang, 2012 | 39 | 300 | 26 | 354 | 6.9% | 1.89 [1.12, 3.18] | |
Mostowska, 2012 | 39 | 206 | 96 | 446 | 9.4% | 0.85 [0.56, 1.29] | |
Bagordakis, 2013 | 85 | 299 | 85 | 384 | 11.4% | 1.40 [0.99, 1.98] | |
Zhong-wei, 2013 | 36 | 181 | 18 | 104 | 5.3% | 1.19 [0.63, 2.22] | |
Ludwig, 2014 | 33 | 143 | 66 | 329 | 7.9% | 1.20 [0.74, 1.92] | |
do Rego Borges, 2015 | 65 | 293 | 91 | 352 | 10.9% | 0.82 [0.57, 1.18] | |
Mi, 2015 | 30 | 222 | 29 | 324 | 6.6% | 1.59 [0.92, 2.73] | |
Babu Gurramkonda, 2015 | 26 | 144 | 35 | 176 | 6.2% | 0.89 [0.51, 1.56] | |
Velázquez-Aragón, 2016 | 32 | 132 | 68 | 259 | 7.7% | 0.90 [0.55, 1.46] | |
Wu, 2018 | 29 | 248 | 24 | 280 | 6.1% | 1.41 [0.80, 2.50] | |
Subtotal (95%CI) | 2859 | 3792 | 100.0% | 1.08 [0.91, 1.26] | |||
Total Events | 551 | 718 | |||||
Heterogeneity: Tau2 = 0.03; Chi2 = 17.14, df = 11 (p = 0.10); I2 = 36%; Test for overall effect: Z = 0.87 (p = 0.38) |
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) |
Variable (N) | G vs. A | GG vs. AA | AG vs. AA | AG + GG vs. AA | GG vs. AA + AG |
---|---|---|---|---|---|
OR (95%CI), I2 (%), Ph | OR (95%CI), I2 (%), Ph | OR (95%CI), I2 (%), Ph | OR (95%CI), I2 (%), Ph | OR (95%CI), I2 (%), Ph | |
Overall (12) | 1.01 (0.88, 1.15), 72, <0.0001 | 1.08 (0.79, 1.47), 77, <0.00001 | 0.93 (0.73, 1.16), 76, <0.00001 | 0.89 (0.70, 1.14), 81, <0.00001 | 1.08 (0.91, 1.26), 36, 0.10 |
Ethnicity | |||||
Asian (5) | 1.13 (1.01, 1.27), 0, 0.59 | 1.53 (1.01, 2.31), 62, 0.03 | 1.08 (0.92, 1.26), 35, 0.19 | 1.13 (0.97, 1.32), 10, 0.35 | 1.30 (1.03, 1.63), 27, 0.24 |
European Descent (3) | 0.82 (0.63, 1.08), 71, 0.03 | 0.67 (0.42, 1.09), 64, 0.06 | 0.72 (0.36, 1.45), 88, 0.0002 | 0.55 (0.34, 0.88), 79, 0.009 | 0.85 (0.67, 1.07), 0, 0.98 |
Mixed (4) | 1.00 (0.76, 1.31), 79, 0.003 | 0.99 (0.59, 1.68), 78, 0.004 | 0.92 (0.60, 1.42), 76, 0.006 | 0.94 (0.60, 1.49), 81, 0.001 | 1.07 (0.87, 1.30), 41, 0.17 |
Source of Controls | |||||
Hospital-Based (6) | 0.94 (0.86, 1.03), 80, 0.0001 | 0.83 (0.69, 1.01), 80, 0.0002 | 0.87 (0.76, 1.01), 84, <0.00001 | 0.89 (0.78, 1.02), 85, <0.00001 | 0.98 (0.83, 1.15), 57, 0.04 |
Population-Based (6) | 1.07 (0.91, 1.26), 52, 0.06 | 1.29 (0.86, 1.94), 66, 0.01 | 1.02 (0.76, 1.36), 60, 0.03 | 0.91 (0.62, 1.33), 80, 0.0002 | 1.18 (0.97, 1.44), 0, 0.63 |
Variable (N) | A vs. C | AA vs. CC | CA vs. CC | CA + AA vs. CC | AA vs. CC + CA |
---|---|---|---|---|---|
OR (95%CI), I2 (%), Ph | OR (95%CI), I2 (%), Ph | OR (95%CI), I2 (%), Ph | OR (95%CI), I2 (%), Ph | OR (95%CI), I2 (%), Ph | |
Overall (6) | 0.92 (0.83, 1.02), 35, 0.17 | 0.85 (0.68, 1.05), 33, 0.19 | 0.88 (0.75, 1.03), 16, 0.31 | 0.87 (0.75, 1.00), 0.29, 0.22 | 0.89 (0.74, 1.09), 22, 0.27 |
Ethnicity | |||||
Asian (2) | 0.94 (0.79, 1.12), 0, 0.65 | 0.90 (0.62, 1.32), 0, 0.76 | 0.89 (0.68, 1.16), 0, 0.49 | 0.89 (0.69, 1.15), 0, 0.51 | 0.97 (0.68, 1.36), 0, 0.99 |
European Descent (3) | 0.92 (0.71, 1.18), 68, 0.04 | 0.81 (0.48, 1.36), 67, 0.05 | 0.83 (0.67, 1.03), 46, 0.15 | 0.85 (0.62, 1.16), 56, 0.11 | 0.87 (0.55, 1.38), 66, 0.05 |
Mixed (1) | 1.07 (0.79, 1.44) | 1.13 (0.61, 2.11) | 1.20 (0.72, 2.00) | 1.18 (0.73, 1.92) | 1.00 (0.59, 1.68) |
Source of Controls | |||||
Hospital-Based (2) | 0.85 (0.67, 1.09), 57, 0.13 | 0.77 (0.55, 1.07), 21, 0.26 | 0.80 (0.56, 1.14), 55, 0.14 | 0.79 (0.55, 1.14), 61, 0.11 | 0.86 (0.63, 1.18), 0, 0.52 |
Population-Based (4) | 0.98 (0.86, 1.12), 11, 0.34 | 0.91 (0.68, 1.20), 47, 0.13 | 0.97, (0.79, 1.20), 0, 0.62 | 0.95 (0.78, 1.16), 0, 0.44 | 0.91 (0.71, 1.17), 49, 0.12 |
Variable | Polymorphism | Allele | Homozygote | Heterozygote | Recessive | Dominant | |
---|---|---|---|---|---|---|---|
Publication Year | rs560426 | R | 0.025 | 0.047 | 0.113 | 0.172 | 0.075 |
Adjusted R2 | −0.099 | −0.098 | −0.086 | −0.068 | −0.094 | ||
P | 0.937 | 0.884 | 0.726 | 0.593 | 0.816 | ||
rs481931 | R | 0.406 | 0.456 | 0.243 | 0.388 | 0.495 | |
Adjusted R2 | −0.044 | 0.010 | −0.176 | −0.062 | 0.057 | ||
P | 0.424 | 0.364 | 0.643 | 0.447 | 0.318 | ||
Number of Participants | rs560426 | R | 0.098 | 0.410 | 0.171 | 0.118 | 0.036 |
Adjusted R2 | −0.089 | 0.085 | −0.068 | −0.085 | −0.099 | ||
P | 0.761 | 0.185 | 0.594 | 0.714 | 0.912 | ||
rs481931 | R | 0.953 | 0.913 | 0.810 | 0.650 | 0.814 | |
Adjusted R2 | 0.886 | 0.793 | 0.570 | 0.279 | 0.579 | ||
P | 0.003 | 0.011 | 0.051 | 0.162 | 0.049 |
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Imani, M.M.; Sadeghi, M.; Tadakamadla, S.K.; Brühl, A.; Sadeghi Bahmani, D.; Taheri, M.; Brand, S. Polymorphisms of ATP-Binding Cassette, Sub-Family A, Member 4 (rs560426 and rs481931) and Non-Syndromic Cleft Lip/Palate: A Meta-Analysis. Life 2021, 11, 58. https://doi.org/10.3390/life11010058
Imani MM, Sadeghi M, Tadakamadla SK, Brühl A, Sadeghi Bahmani D, Taheri M, Brand S. Polymorphisms of ATP-Binding Cassette, Sub-Family A, Member 4 (rs560426 and rs481931) and Non-Syndromic Cleft Lip/Palate: A Meta-Analysis. Life. 2021; 11(1):58. https://doi.org/10.3390/life11010058
Chicago/Turabian StyleImani, Mohammad Moslem, Masoud Sadeghi, Santosh Kumar Tadakamadla, Annette Brühl, Dena Sadeghi Bahmani, Mohammad Taheri, and Serge Brand. 2021. "Polymorphisms of ATP-Binding Cassette, Sub-Family A, Member 4 (rs560426 and rs481931) and Non-Syndromic Cleft Lip/Palate: A Meta-Analysis" Life 11, no. 1: 58. https://doi.org/10.3390/life11010058
APA StyleImani, M. M., Sadeghi, M., Tadakamadla, S. K., Brühl, A., Sadeghi Bahmani, D., Taheri, M., & Brand, S. (2021). Polymorphisms of ATP-Binding Cassette, Sub-Family A, Member 4 (rs560426 and rs481931) and Non-Syndromic Cleft Lip/Palate: A Meta-Analysis. Life, 11(1), 58. https://doi.org/10.3390/life11010058