Table 2.
Characteristics of included studies in HTRA1 rs11200638 polymorphism and wet/dry AMD risk, respectively
| Author | Year | Country | Ethnicity | type | Case | Control | SOC | Cases | Controls | HWE | Genotype | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AA | AG | GG | AA | AG | GG | ||||||||||
| Lin | 2008 | China-Taiwan | Asian | dry | 52 | 90 | HB | 28 | 19 | 5 | 19 | 47 | 24 | 0.651 | Sequencing |
| Chan | 2007 | USA | Caucasian | dry | 18 | 13 | HB | 4 | 10 | 4 | 0 | 8 | 5 | 0.109 | RT-PCR |
| Mori | 2007 | Japan | Asian | dry | 19 | 116 | HB | 4 | 7 | 8 | 5 | 41 | 70 | 0.743 | Sequencing |
| Askari | 2015 | Iran | Asian | dry | 32 | 120 | HB | 11 | 12 | 9 | 12 | 66 | 42 | 0.576 | Sequencing |
| Ruamviboonsuk | 2017 | Thailand | Asian | wet | 377 | 1073 | PB | 125 | 164 | 88 | 146 | 490 | 437 | 0.643 | InfiniumOmniExpressExome-8 v1.3 platform |
| Cheng | 2013 | China | Asian | wet | 93 | 93 | HB | 52 | 30 | 11 | 21 | 42 | 30 | 0.395 | Sequencing |
| Ng | 2016 | Hong Kong | Asian | wet | 194 | 183 | PB | 109 | 63 | 22 | 38 | 90 | 55 | 0.915 | Sequencing |
| Liang | 2012 | China | Asian | wet | 161 | 150 | HB | 61 | 83 | 17 | 30 | 72 | 48 | 0.75 | Sequencing |
| Chu | 2008 | China | Asian | wet | 144 | 126 | HB | 76 | 52 | 16 | 31 | 69 | 26 | 0.276 | PCR-RFLP |
| Jiang | 2008 | China | Asian | wet | 159 | 140 | HB | 99 | 47 | 13 | 31 | 67 | 42 | 0.662 | Sequencing |
| Lee | 2010 | Korea | Asian | wet | 137 | 187 | HB | 57 | 59 | 21 | 35 | 100 | 52 | 0.283 | Sequencing |
| Lin | 2008 | China-Taiwan | Asian | wet | 43 | 90 | HB | 25 | 14 | 4 | 19 | 47 | 24 | 0.651 | Sequencing |
| Xu | 2007 | China | Asian | wet | 121 | 132 | HB | 56 | 52 | 13 | 24 | 64 | 44 | 0.931 | Sequencing |
| Tam | 2008 | China-Hong Kong | Asian | wet | 163 | 183 | HB | 94 | 51 | 18 | 38 | 90 | 55 | 0.916 | Sequencing |
| Chan | 2007 | USA | Caucasian | wet | 31 | 13 | HB | 8 | 16 | 7 | 0 | 8 | 5 | 0.109 | RT-PCR |
| Leveziel | 2007 | France | Caucasian | wet | 118 | 116 | HB | 32 | 57 | 29 | 5 | 41 | 70 | 0.743 | TaqMan |
| Mori | 2007 | Japan | Asian | wet | 104 | 116 | HB | 41 | 45 | 18 | 5 | 41 | 70 | 0.743 | Sequencing |
| Askari | 2015 | Iran | Asian | wet | 88 | 120 | HB | 47 | 30 | 11 | 12 | 66 | 42 | 0.576 | Sequencing |
| Weger | 2007 | Austria | Caucasian | wet | 242 | 157 | PB | 67 | 108 | 67 | 8 | 50 | 99 | 0.609 | TaqMan |
| Lu | 2007 | China | Asian | wet | 90 | 106 | HB | 53 | 34 | 3 | 15 | 63 | 28 | < 0.05 | PCR-RFLP |
| Mohamad | 2019 | Malaysia | Asian | wet | 145 | 145 | HB | 79 | 47 | 19 | 48 | 82 | 15 | < 0.05 | PCR-RFLP |
| Yang | 2010 | China | Asian | wet | 109 | 150 | HB | 31 | 45 | 33 | 30 | 50 | 70 | < 0.05 | PCR-RFLP |
| Chen | 2008 | USA | Caucasian | wet | 470 | 294 | HB | 76 | 245 | 149 | 10 | 128 | 156 | < 0.05 | Sequencing |
| Chen | 2008 | USA | Caucasian | dry | 306 | 294 | HB | 55 | 155 | 96 | 10 | 128 | 156 | < 0.05 | Sequencing |
| Zeng | 2011 | China | Caucasian | dry | 341 | 509 | PB | 60 | 166 | 115 | 21 | 181 | 307 | 0.374 | SNaPshot |
| Zeng | 2011 | China | Caucasian | wet | 994 | 509 | PB | 184 | 475 | 335 | 21 | 181 | 307 | 0.374 | SNaPshot |
| Matuskova | 2020 | Czech Republic | Caucasian | wet | 307 | 191 | HB | 69 | 148 | 90 | 9 | 66 | 116 | 0.921 | SNaPshot Multiplex-System |