First author | Year | Country | Racial/descent | Type | Genotyping | Case | Control | Genotype distribution | P for HWE | Source of controls | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Case | Control | ||||||||||||||
rs17576 G > A | G/G | G/A | A/A | G/G | G/A | A/A | |||||||||
Wang | 2006 | China | Asian | PACG | Applied Biosystems | 78 | 86 | 17 | 17 | 44 | 38 | 33 | 15 | 0.11 | Hospital-based |
Aung | 2008 | Singaporean | Asian | PACG | Applied Biosystems | 217 | 83 | 135 | 69 | 13 | 48 | 31 | 4 | 0.72 | Healthy-based |
Cong | 2009 | China | Asian | PACG | PCR-RFLP | 211 | 205 | 119 | 76 | 16 | 124 | 75 | 6 | 0.18 | Healthy-based |
Mossböck1 | 2010 | Austria | Caucasian | POAG | PCR-RFLP | 322 | 248 | 42 | 141 | 139 | 26 | 120 | 102 | 0.28 | Hospital-based |
Mossböck2 | 2010 | Austria | Caucasian | XGF | PCR-RFLP | 202 | 248 | 31 | 83 | 88 | 26 | 120 | 102 | 0.28 | Hospital-based |
Awadalla | 2011 | Australian | Caucasian | PACG | Sequenom | 104 | 268 | 18 | 49 | 37 | 27 | 109 | 132 | 0.52 | Population-based |
Shi | 2013 | China | Asian | PACG | Applied Biosystems | 231 | 306 | 133 | 78 | 20 | 164 | 113 | 29 | 0.15 | Population-based |
Micheal1 | 2013 | Pakistan | Asian | PACG | PCR-RFLP | 82 | 118 | 35 | 32 | 15 | 25 | 53 | 40 | 0.34 | Healthy-based |
Micheal2 | 2013 | Pakistan | Asian | POAG | PCR-RFLP | 112 | 118 | 38 | 48 | 26 | 25 | 53 | 40 | 0.34 | Healthy-based |
rs17577 G > A | G/G | G/A | A/A | G/G | G/A | A/A | |||||||||
Wang | 2006 | China | Asian | PACG | Applied Biosystems | 78 | 86 | 62 | 14 | 2 | 69 | 15 | 2 | 0.30 | Hospital-based |
Awadalla | 2011 | Australian | Caucasian | PACG | Sequenom | 106 | 268 | 73 | 29 | 4 | 213 | 51 | 4 | 0.64 | Population-based |
Gao | 2014 | China | Asian | PACG | PCR-RFLP | 214 | 224 | 166 | 44 | 4 | 178 | 43 | 3 | 0.83 | Hospital-based |
rs3918249 C > T | C/C | C/T | T/T | C/C | C/T | T/T | |||||||||
Awadalla | 2011 | Australian | Caucasian | PACG | Sequenom | 106 | 267 | 19 | 49 | 38 | 27 | 109 | 131 | 0.54 | Population-based |
Shi | 2013 | China | Asian | PACG | Applied Biosystems | 231 | 306 | 133 | 79 | 19 | 160 | 116 | 30 | 0.19 | Population-based |
Gao | 2014 | China | Asian | PACG | PCR-RFLP | 213 | 221 | 91 | 109 | 13 | 104 | 103 | 14 | 0.08 | Hospital-based |
rs3918242 C > T | C/C | C/T | T/T | C/C | C/T | T/T | |||||||||
Micheal1 | 2013 | Pakistan | Asian | PACG | PCR-RFLP | 82 | 118 | 56 | 25 | 1 | 74 | 37 | 7 | 0.42 | Healthy-based |
Micheal2 | 2013 | Pakistan | Asian | POAG | PCR-RFLP | 112 | 118 | 70 | 40 | 2 | 74 | 37 | 7 | 0.42 | Healthy-based |
Markiewicz | 2013 | Poland | Caucasian | POAG | PCR-RFLP | 255 | 256 | 166 | 83 | 6 | 195 | 56 | 5 | 0.68 | Hospital-based |
rs3918254 C > T | C/C | C/T | T/T | C/C | C/T | T/T | |||||||||
Awadalla | 2011 | Australian | Caucasian | PACG | Sequenom | 106 | 283 | 105 | 1 | 0 | 282 | 1 | 0 | 0.98 | Population-based |
Gao | 2014 | China | Asian | PACG | PCR-RFLP | 214 | 220 | 125 | 85 | 4 | 122 | 81 | 17 | 0.49 | Hospital-based |
rs3787268 G > A | G/G | G/A | A/A | G/G | G/A | A/A | |||||||||
Awadalla | 2011 | Australian | Caucasian | PACG | Sequenom | 106 | 267 | 64 | 35 | 7 | 174 | 84 | 9 | 0.77 | Population-based |
Gao | 2014 | China | Asian | PACG | PCR-RFLP | 207 | 220 | 82 | 112 | 13 | 89 | 108 | 23 | 0.24 | Hospital-based |