Table 1. Characteristics of the studies included in the meta-analysis.
| First author | Year | Country | Ethnicity | Source of controls | Genotyping medthod | Number(case/control) | HWE |
|---|---|---|---|---|---|---|---|
| rs2981582 (C>T) | |||||||
| Kawase [20] | 2009 | Japan | Asian | HB | TaqMan | 455/912 | 0.773315 |
| Hu [25] | 2011 | China | Asian | PB | PCR-RFLP | 203/200 | 0.758366 |
| Li [26] | 2011 | China | Asian | HB | MassArray | 401/441 | 0.219207 |
| Chen [27] | 2012 | China | Asian | PB | PCR-SSCP | 388/424 | 0.048991 |
| Butt [28] | 2012 | Swedish | Caucasian | PB | MassArray | 713/1399 | 0.816442 |
| Shan [29] | 2012 | Tunisian | African | PB | TaqMan | 600/358 | 0.060883 |
| Fu [30] | 2012 | China | Asian | HB | iPLEX | 118/104 | 0.474243 |
| Campa [31] | 2011 | Mixed | Mixed | PB | Taqman | 8313/11594 | 0.607558 |
| Slattery [32] | 2011 | American | Caucasian | PB | Taqman | 1734/2040 | 0.822253 |
| Han [33] | 2011 | Korean | Asian | PB | Taqman | 3232/3489 | 0.361342 |
| Tamimi [34] | 2010 | Swedish | Caucasian | PB | Taqman | 680/734 | 0.535243 |
| Gorodnova [35] | 2010 | Russian | Caucasian | NA | Taqman | 140/174 | 0.000621 |
| Ren [36] | 2010 | China | Asian | HB | Taqman | 956/471 | 0.024883 |
| McInerney [37] | 2009 | British | Caucasian | PB | KASPar | 941/997 | 0.83057 |
| Boyarskikh [38] | 2009 | Russia | Caucasian | PB | Taqman | 744/628 | 0.659988 |
| Garcia-Closas [39] | 2008 | Mixed | Mixed | PB, HB | Taqman | 16882/26058 | 0.892667 |
| Liang [9] | 2008 | China | Asian | HB | Taqman | 1026/1062 | 0.97418 |
| Antoniou [40] | 2008 | European | Mixed | NA | Taqman, MALDI-TOF | 4990/4301 | 0.596563 |
| Zhao [41] | 2010 | China | Asian | HB | PCR-RFLP | 956/471 | 0.024883 |
| Xi [42] | 2014 | China | Asian | HB | MALDI-TOF | 815/849 | 0.959015 |
| Campa [19] | 2015 | Mixed | Caucasian | PB | TaqMan | 1234/12231 | 0.779613 |
| Slattery [43] | 2013 | American | Caucasian | PB | multiplexed bead array | 3560/4138 | 0.364662 |
| Chan [44] | 2012 | China | Asian | HB | Taqman | 1168/1475 | 0.164674 |
| Dai [45] | 2012 | China | Asian | HB | TaqMan | 1768/1844 | 0.423521 |
| Jara [46] | 2013 | Chile | Caucasian | PB | TaqMan | 351/802 | 0.138274 |
| Liang [18] | 2015 | China | Asian | HB | MassARRAY | 607/856 | 0.298476 |
| Liu [47] | 2013 | China | Asian | HB | PCR-RFLP | 203/200 | 0.758366 |
| Murillo-Zamora [48] | 2013 | Mexico | Caucasian | PB | Multiplexed assays | 687/907 | 0.351295 |
| Ottini [49] | 2013 | Italy | Caucasian | PB | TaqMan | 413/745 | 0.76716 |
| Ozgoz [50] | 2013 | Turkey | Caucasian | PB | PCR-RFLP | 31/30 | 0.281979 |
| Siddiqui [51] | 2014 | India | Asian | HB | PCR-RFLP | 368/484 | 0.526174 |
| rs2420946 (C>T) | |||||||
| Raskin [8] | 2008 | USA | Caucasian | PB | TaqMan | 1480/1474 | 0.224235 |
| Kawase [20] | 2009 | Japan | Asian | HB | TaqMan | 453/912 | 0.519554 |
| Liu [10] | 2009 | China | Asian | PB | PCR-RFLP | 106/116 | 0.361602 |
| Hu [25] | 2011 | China | Asian | PB | PCR-RFLP | 203/200 | 0.325727 |
| Li [26] | 2011 | China | Asian | HB | MassArray | 391/432 | 0.703117 |
| Fu [30] | 2012 | China | Asian | HB | iPLEX | 118/104 | 0.505449 |
| Liang [9] | 2008 | China | Asian | HB | Taqman | 1020/1050 | 0.413194 |
| Hunter [52] | 2007 | USA | Caucasian | PB | Taqman | 2912/3212 | 0.293864 |
| Jara [46] | 2013 | Chile | Caucasian | PB | TaqMan | 351/802 | 0.292806 |
| Liang [18] | 2015 | China | Asian | HB | MassARRAY | 603/847 | 0.063645 |
| Liu [47] | 2013 | China | Asian | HB | PCR-RFLP | 203/200 | 0.325727 |
| rs2981578 (A>G) | |||||||
| Chen [27] | 2012 | China | Asian | PB | PCR-SSCP | 378/458 | 0.290218 |
| Lin [53] | 2012 | Taiwan | Asian | PB | PCR-RFLP | 87/70 | 0.724138 |
| Siddiqui [51] | 2014 | India | Asian | HB | PCR-RFLP | 368/484 | 0.278456 |
HWE: hardy-weinberg equilibrium; PB: population based; HB: hospital-based.