Table 1 Main characteristics of the included studies
Study | Year | Region | Ethnicity | Sample size | Quality score | HWE Y/N | GG (n) | GT (n) | TT (n) | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Case/control) | Case | Control | Case | Control | Case | Control | |||||||
Lacolley | 1997 | France | Caucasian | 309/ | 123 | 7 | 0.250 | 140 | 35 | 122 | 67 | 47 | 21 |
Miyamoto | 1998 | Japan | Asian | 218/ | 240 | 8 | 0.587 | 175 | 217 | 41 | 22 | 2 | 1 |
Benjafield | 2000 | Australia | Caucasian | 91/ | 149 | 7 | 0.314 | 40 | 70 | 43 | 68 | 8 | 11 |
Shoji | 2000 | Japan | Asian | 183/ | 193 | 7 | 0.462 | 139 | 164 | 41 | 27 | 3 | 2 |
KARVONEN | 2002 | Finland | Caucasian | 505/ | 519 | 9 | 0.820 | 244 | 262 | 220 | 215 | 41 | 42 |
Di | 2002 | China | Asian | 95/ | 95 | 7 | 0.511 | 70 | 83 | 25 | 12 | 0 | 0 |
Liu | 2002 | China | Asian | 103/ | 74 | 7 | 0.205 | 54 | 55 | 44 | 19 | 5 | 0 |
Jia | 2002 | China | Asian | 116/ | 136 | 8 | 0.316 | 83 | 114 | 29 | 20 | 4 | 2 |
Tan | 2003 | China | Asian | 112/ | 112 | 8 | 0.012 | 73 | 78 | 25 | 26 | 14 | 8 |
Li | 2004 | China | Asian | 310/ | 151 | 8 | 0.902 | 226 | 126 | 81 | 24 | 3 | 1 |
Xu | 2004 | China | Asian | 203/ | 190 | 8 | 0.854 | 165 | 141 | 37 | 45 | 1 | 4 |
Djuric´ | 2005 | Serbia | Caucasian | 172/ | 200 | 7 | 0.782 | 84 | 93 | 71 | 88 | 17 | 19 |
Moe | 2006 | Singapore | Asian | 103/ | 104 | 7 | 0.787 | 79 | 82 | 20 | 21 | 4 | 1 |
Marcun-Varda | 2006 | Slovenia | Caucasian | 104/ | 200 | 7 | 0.901 | 43 | 74 | 49 | 96 | 12 | 30 |
Dong | 2006 | China | Asian | 97/ | 87 | 7 | 0.983 | 41 | 62 | 50 | 23 | 6 | 2 |
Ma | 2006 | China | Asian | 192/ | 122 | 7 | 0.274 | 76 | 46 | 89 | 53 | 27 | 23 |
Wang | 2006 | China | Asian | 277/ | 547 | 7 | 0.284 | 233 | 468 | 40 | 74 | 4 | 5 |
Zhang | 2006 | China | Asian | 375/ | 414 | 7 | < 0.001 | 212 | 273 | 106 | 93 | 57 | 48 |
Liang | 2006 | China | Asian | 124/ | 100 | 8 | 0.625 | 108 | 85 | 11 | 14 | 5 | 1 |
Zhang | 2006 | China | Asian | 190/ | 94 | 8 | 0.791 | 164 | 89 | 19 | 5 | 7 | 0 |
Zhao | 2006 | China | Asian | 501/ | 489 | 7 | 0.692 | 404 | 387 | 93 | 97 | 4 | 5 |
Khawaja | 2007 | Pakistan | Mixed | 143/ | 184 | 6 | 0.689 | 99 | 129 | 37 | 51 | 7 | 4 |
Wang | 2007 | China | Asian | 100/ | 50 | 7 | 0.101 | 70 | 44 | 27 | 5 | 3 | 1 |
Colomba | 2008 | Italy | Caucasian | 127/ | 67 | 7 | 0.030 | 45 | 19 | 70 | 41 | 12 | 7 |
Nejatizadeh | 2008 | India | Asian | 453/ | 344 | 7 | 0.006 | 259 | 222 | 118 | 98 | 76 | 24 |
Periaswamy | 2008 | India | Asian | 438/ | 444 | 8 | 0.656 | 291 | 323 | 126 | 110 | 21 | 11 |
Srivastava | 2008 | India | Asian | 226/ | 200 | 8 | 0.556 | 139 | 154 | 82 | 44 | 5 | 2 |
Ghazali | 2008 | Malaysia | Asian | 200/ | 198 | 8 | 0.920 | 144 | 151 | 54 | 44 | 2 | 3 |
Tang | 2008 | China | Asian | 184/ | 196 | 6 | 0.983 | 91 | 95 | 80 | 83 | 13 | 18 |
Zhao | 2008 | China | Asian | 174/ | 112 | 7 | 0.733 | 138 | 105 | 32 | 7 | 4 | 0 |
Tang | 2008 | China | Asian | 271/ | 267 | 6 | < 0.001 | 171 | 169 | 73 | 65 | 27 | 33 |
Wang | 2009 | China | Asian | 230/ | 186 | 8 | 0.518 | 9 | 12 | 46 | 64 | 175 | 110 |
Zhang | 2009 | China | Asian | 349/ | 214 | 8 | 0.267 | 260 | 179 | 79 | 32 | 10 | 3 |
Liu | 2009 | China | Asian | 129/ | 117 | 7 | 0.311 | 76 | 85 | 46 | 31 | 7 | 1 |
Niu | 2009 | China | Asian | 1305/ | 1154 | 8 | 0.008 | 1071 | 954 | 192 | 182 | 42 | 18 |
Kitsios | 2010 | Greece | Caucasian | 228/ | 302 | 6 | 0.512 | 99 | 135 | 95 | 130 | 34 | 37 |
Wang | 2010 | China | Asian | 154/ | 150 | 8 | 0.240 | 98 | 116 | 40 | 30 | 16 | 4 |
Zhou | 2010 | China | Asian | 176/ | 131 | 6 | 0.351 | 137 | 98 | 38 | 32 | 1 | 1 |
Souza-Costa | 2011 | Brazil | Mixed | 73/ | 285 | 8 | 0.086 | 45 | 172 | 25 | 105 | 3 | 8 |
Zhou | 2011 | China | Asian | 346/ | 385 | 8 | 0.667 | 280 | 312 | 62 | 70 | 4 | 3 |
Chen | 2011 | China | Asian | 160/ | 176 | 8 | 0.161 | 138 | 154 | 21 | 20 | 1 | 2 |
Zhao | 2011 | China | Asian | 100/ | 97 | 8 | 0.648 | 96 | 82 | 3 | 14 | 1 | 1 |
Li | 2011 | China | Asian | 510/ | 510 | 7 | < 0.001 | 320 | 367 | 129 | 89 | 61 | 54 |
Ma | 2012 | China | Asian | 300/ | 288 | 8 | 0.577 | 255 | 250 | 43 | 36 | 2 | 2 |
Zhang | 2012 | China | Asian | 363/ | 370 | 6 | 0.580 | 265 | 278 | 85 | 84 | 13 | 8 |
Liang | 2012 | China | Asian | 350/ | 150 | 7 | 0.965 | 290 | 127 | 57 | 22 | 3 | 1 |
Li | 2012 | China | Asian | 227/ | 359 | 7 | 0.549 | 185 | 296 | 40 | 61 | 2 | 2 |
Goncharov | 2013 | Ukraine | Caucasian | 145/ | 144 | 7 | < 0.001 | 65 | 45 | 60 | 93 | 20 | 6 |
Yan | 2013 | China | Asian | 308/ | 181 | 8 | 0.105 | 235 | 142 | 57 | 34 | 16 | 5 |
Yang | 2013 | China | Asian | 134/ | 115 | 6 | 0.791 | 70 | 97 | 59 | 17 | 5 | 1 |
Ogretmen | 2014 | Turkey | Caucasian | 21/ | 109 | 6 | 0.746 | 7 | 70 | 13 | 34 | 1 | 5 |
Shankarishan | 2014 | India | Caucasian | 350 | /350 | 8 | 0.261 | 194 | 296 | 133 | 50 | 23 | 4 |
Cui | 2014 | China | Asian | 172 | /90 | 8 | 0.786 | 133 | 85 | 36 | 5 | 3 | 0 |
Liu | 2014 | China | Asian | 215 | /108 | 8 | 0.283 | 149 | 89 | 48 | 17 | 18 | 2 |
Hui | 2015 | China | Asian | 100 | /100 | 6 | 0.677 | 81 | 92 | 16 | 8 | 3 | 0 |
Xiong | 2015 | China | Asian | 226 | /186 | 8 | 0.752 | 130 | 133 | 83 | 48 | 13 | 5 |
ALrefai | 2016 | Egypt | Caucasian | 70 | /30 | 7 | 0.773 | 49 | 27 | 16 | 3 | 5 | 0 |
Gamil | 2017 | Sudan | Caucasian | 147 | /82 | 6 | 0.829 | 100 | 60 | 42 | 20 | 5 | 2 |
Zhang | 2017 | China | Asian | 456 | /453 | 8 | 0.001 | 365 | 362 | 84 | 78 | 7 | 13 |
Nassereddine | 2018 | Morocco | Caucasian | 145 | /184 | 6 | 0.509 | 5 | 116 | 54 | 62 | 86 | 6 |