Table 1. Characteristics of studies included in the meta-analysis.
| First author | Year | Country | Ethnicity | Genotyping method | Number (case/control) | HWE (P value) |
|---|---|---|---|---|---|---|
| rs3746444 | ||||||
| Hu[9] | 2009 | China | Asian | PCR-RFLP | 1009/1093 | 0.057 |
| Catucci[10] | 2010 | Italy | Caucasian | Taqman | 756/1242 | 0.250 |
| Catucci[10] | 2010 | Germany | Caucasian | Taqman | 823/925 | 0.893 |
| Alshatwi[11] | 2012 | Saudi | Asian | Taqman | 100/100 | 0.227 |
| Bansal[12] | 2014 | India | Asian | PCR-RFLP | 121/164 | 0.261 |
| Omrani[13] | 2014 | Iran | Asian | TARMS-PCR | 236/203 | 0.241 |
| Qi[14] | 2015 | China | Asian | Taqman | 321/290 | 0.053 |
| He[15] | 2015 | China | Asian | MassARRAY | 450/450 | 0.143 |
| Dai[16] | 2016 | China | Asian | MassARRAY | 560/583 | 0.131 |
| rs11614913 | ||||||
| Hu[9] | 2009 | China | Asian | PCR-RFLP | 1009/1093 | 0.210 |
| Hoffman[17] | 2009 | USA | Caucasian | MassARRAY | 426/466 | 0.583 |
| Catucci[10] | 2010 | Italy | Caucasian | Taqman | 751/1243 | 0.315 |
| Catucci[10] | 2010 | Germany | Caucasian | Taqman | 1101/1496 | 0.711 |
| Jedlinski[18] | 2011 | Australia | Caucasian | PCR-RFLP | 187/171 | 0.830 |
| Alshatwi[11] | 2012 | Saudi | Asian | Taqman | 100/100 | 0.032 |
| Linhares[19] | 2012 | Brazil | Mixed | Taqman | 388/388 | 0.005 |
| Zhang[20] | 2012 | China | Asian | PCR-RFLP | 248/243 | 0.893 |
| Ma[21] | 2013 | China | Asian | MassARRAY | 190/187 | 0.037 |
| Bansal[12] | 2014 | India | Asian | PCR-RFLP | 121/165 | 0.042 |
| Omrani[13] | 2014 | Iran | Asian | TARMS-PCR | 236/203 | 0.000 |
| Qi[14] | 2015 | China | Asian | Taqman | 321/290 | 0.141 |
| He[15] | 2015 | China | Asian | MassARRAY | 450/450 | 0.990 |
| Zhang[22] | 2015 | China | Asian | MassARRAY | 379/187 | 0.037 |
| Dai[16] | 2016 | China | Asian | MassARRAY | 560/583 | 0.540 |
| Morales[23] | 2016 | Chile | Caucasian | Taqman | 440/807 | 0.121 |
| rs2910164 | ||||||
| Hu[13] | 2009 | China | Asian | PCR-RFLP | 1009/1093 | 0.221 |
| Catucci[10] | 2010 | Germany | Caucasian | Taqman | 805/904 | 0.753 |
| Catucci[10] | 2010 | Italy | Caucasian | Taqman | 754/1243 | 0.019 |
| Pastrello[24] | 2010 | Italy | Caucasian | Sequencing | 88/155 | 0.332 |
| Garcia[25] | 2011 | France | Caucasian | Taqman | 1130/596 | 0.150 |
| Alshatwi[11] | 2012 | Saudi | Asian | Taqman | 100/100 | 0.051 |
| Ma[21] | 2013 | China | Asian | MassARRAY | 192/191 | 0.983 |
| Bansal[12] | 2014 | India | Asian | PCR-RFLP | 121/164 | 0.130 |
| Omrani[13] | 2014 | Iran | Asian | TARMS-PCR | 236/203 | 0.000 |
| Qi[14] | 2015 | China | Asian | Taqman | 321/290 | 0.013 |
| He[15] | 2015 | China | Asian | MassARRAY | 450/490 | 0.478 |
| Zhang[22] | 2015 | China | Asian | MassARRAY | 382/191 | 0.983 |
| Upadhyaya[26] | 2015 | Australia | Caucasian | HRM | 546/246 | 0.091 |
Abbreviations: HWE: Hardy-Weinberg equilibrium for controls. PCR-RFLP: polymerase chain reaction-restriction fragment length polymorphism. TARMS-PCR: tetra-primer amplification refractory mutation system-polymerase chain reaction. HRM: High ResolutionMelting.