Table 2.
Main characteristics of studies included in this meta-analysis.
| First Author |
Country (Ethnicity) |
Genotyping Method |
SOC |
Case/Control |
Cases |
Controls |
MAFs |
HWE |
||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Genotypes |
Allele |
Genotypes |
Allele |
|||||||||||||
| rs2234693 | TT | CT | CC | T | C | TT | CT | CC | T | C | ||||||
| Bergink 200312 | Netherlands(Caucasian) | PCR-RFLP | PB | 1483/687 | 434 | 737 | 312 | 1605 | 1361 | 225 | 333 | 129 | 783 | 591 | 0.430 | 0.767 |
| Xue 200413 | China(Asian) | PCR-RFLP | PB | 55/176 | 17 | 23 | 15 | 57 | 53 | 57 | 87 | 32 | 201 | 151 | 0.429 | 0.905 |
| Jin 200414 | Korea(Asian) | PCR-RFLP | PB | 151/397 | 61 | 68 | 22 | 190 | 112 | 152 | 183 | 62 | 487 | 307 | 0.386 | 0.575 |
| Yan 200415 | China(Asian) | PCR-RFLP | NA | 53/176 | 10 | 24 | 21 | 44 | 66 | 54 | 82 | 40 | 190 | 162 | 0.460 | 0.408 |
| Yang 200916 | China(Asian) | PCR-RFLP | PB | 41/40 | 14 | 17 | 10 | 45 | 37 | 12 | 23 | 5 | 47 | 33 | 0.412 | 0.238 |
| Tian 200917 | China(Asian) | PCR-RFLP | PB | 38/40 | 16 | 15 | 7 | 47 | 29 | 15 | 16 | 9 | 46 | 34 | 0.425 | 0.250 |
| Rianch 201018 | UK (Caucasian) | TaqMan | PB | 445/862 | 77 | 245 | 123 | 399 | 491 | 167 | 442 | 253 | 776 | 948 | 0.549 | 0.292 |
| Spain(Caucasian) | 272/802 | 53 | 140 | 79 | 246 | 298 | 179 | 394 | 229 | 752 | 852 | 0.531 | 0.699 | |||
| Spain(Caucasian) | 254/473 | 46 | 143 | 65 | 235 | 273 | 80 | 217 | 176 | 377 | 569 | 0.601 | 0.349 | |||
| Borgonio-Cuadra 201219 | Mexico(Mixed) | PCR-RFLP | PB | 115/117 | 52 | 49 | 14 | 153 | 77 | 51 | 50 | 16 | 152 | 82 | 0.350 | 0.507 |
| Liu 201420 | China(Asian) | PCR-RFLP | PB | 98/196 | 30 | 41 | 27 | 101 | 95 | 63 | 97 | 36 | 223 | 169 | 0.431 | 0.900 |
| Dai 201421 | China(Asian) | TaqMan | PB | 469/514 | 167 | 217 | 85 | 551 | 387 | 198 | 242 | 74 | 638 | 390 | 0.379 | 0.996 |
| Feng 201722 | China(Asian) | PCR-RFLP | PB | 520/1042 | 260 | 209 | 51 | 729 | 311 | 665 | 327 | 50 | 1657 | 427 | 0.204 | 0.234 |
| Present 2018 |
Iran(Asian) |
PCR-RFLP |
PB |
90/90 |
30 |
42 |
18 |
102 |
78 |
24 |
37 |
29 |
85 |
95 |
0.527 |
0.096 |
|
rs9340799 |
AA |
GA |
GG |
A |
G |
AA |
GA |
GG |
A |
G |
||||||
| Bergink 200312 | Netherlands(Caucasian) | PCR-RFLP | PB | 1483/687 | 643 | 682 | 158 | 1968 | 998 | 372 | 263 | 52 | 1007 | 367 | 0.267 | 0.560 |
| Xue 200413 | China(Asian) | PCR-RFLP | PB | 55/176 | 21 | 24 | 10 | 66 | 44 | 40 | 82 | 54 | 162 | 190 | 0.539 | 0.408 |
| Jin 200414 | Korea(Asian) | PCR-RFLP | PB | 151/397 | 98 | 49 | 4 | 245 | 57 | 256 | 126 | 15 | 638 | 156 | 0.196 | 0.917 |
| Yan 200415 | China(Asian) | PCR-RFLP | NA | 55/176 | 15 | 23 | 17 | 53 | 57 | 32 | 87 | 57 | 151 | 201 | 0.571 | 0.905 |
| Yang 200916 | China(Asian) | PCR-RFLP | PB | 41/40 | 28 | 11 | 2 | 67 | 15 | 24 | 13 | 3 | 61 | 19 | 0.237 | 0.516 |
| Tian 200917 | China(Asian) | PCR-RFLP | PB | 38/40 | 18 | 16 | 4 | 52 | 24 | 6 | 21 | 13 | 33 | 47 | 0.587 | 0.598 |
| Borgonio-Cuadra 201219 | Mexico(Mixed) | PCR-RFLP | PB | 115/117 | 70 | 41 | 4 | 181 | 49 | 62 | 47 | 8 | 171 | 63 | 0.269 | 0.821 |
| Liu 201420 | China(Asian) | PCR-RFLP | PB | 98/196 | 36 | 43 | 19 | 115 | 81 | 49 | 92 | 55 | 190 | 202 | 0.515 | 0.398 |
| Dai 201421 | China(Asian) | TaqMan | PB | 469/514 | 288 | 152 | 29 | 728 | 210 | 348 | 155 | 19 | 851 | 193 | 0.184 | 0.736 |
| Feng 201722 | China(Asian) | PCR-RFLP | PB | 520/1042 | 276 | 201 | 43 | 796 | 818 | 618 | 366 | 58 | 1660 | 1388 | 0.666 | ≤0.001 |
| Present 2018 | Iran(Asian) | PCR-RFLP | PB | 90/90 | 51 | 28 | 11 | 130 | 50 | 45 | 32 | 13 | 122 | 58 | 0.322 | 0.077 |
PCR–RFLP: polymerase chain reaction restriction fragment length polymorphism; PB: population based; NA: not applicable; SOC: source of controls; MAFs: minor allele frequencies; HWE: Hardy-Weinberg Equilibrium.