Table 1 Main characteristics of studies included in the meta-analysis
BsmI rs1544410 (G > A) | Publication year | Region | Genotyping methods | Osteoporosis | Control | ||
|---|---|---|---|---|---|---|---|
n | Age (year) mean ± SD | n | Age (year) mean ± SD | ||||
Marozik et al. [19] | 2018 | Belarus, Lithuania | PCR-RFLP | 149 | 61.40 ± 6.50 | 172 | 57.50 ± 7.30 |
Ahmad et al. [20] | 2018 | India | PCR-RFLP | 254 | 55.82 ± 6.91 | 254 | 54.76 ± 6.26 |
Techapatiphandee et al. [12] | 2018 | Thailand | PCR-RFLP | 105 | 73.10 ± 8.90 | 132 | 63.4 0 ± 8.70 |
Moran et al. [21] | 2015 | Spain | TaqMan | 150 | 60.24 ± 7.74 | 30 | 59.73 ± 9.28 |
Marozik et al. [22] | 2013 | Belarus | PCR-RFLP | 54 | 58.30 ± 6.20 | 77 | 56.70 ± 7.40 |
Gonzalez et al. [23] | 2013 | Mexico | TaqMan | 88 | 57.65 ± 5.58 | 88 | 56.34 ± 4.98 |
Efesoy et al. [24] | 2011 | Turkey | PCR-RDB | 40 | 65.75 ± 9.80 | 30 | 62.40 ± 8.70 |
Zhang et al. [13] | 2011 | China | PCR-RFLP | 120 | 60.12 ± 3.26 | 60 | 58.69 ± 2.48 |
Tanriover et al. [25] | 2010 | Turkey | PCR-RFLP | 50 | 58.30 ± 6.50 | 50 | 57.30 ± 6.60 |
Mansour et al. [26] | 2010 | Egypt | PCR-RFLP | 50 | 54.40 ± 5.10 | 20 | 53.50 ± 5.40 |
Musumeci et al. [27] | 2009 | Italy | PCR-RFLP | 100 | 49.91 ± 3.08 | 100 | 52.39 ± 4.38 |
Mencej et al. [28] | 2009 | Slovenia | PCR-RFLP | 240 | 64.50 ± 8.20 | 228 | 61.50 ± 8.30 |
Seremak et al. [29] | 2009 | Poland | PCR-RFLP | 163 | 64.27 ± 8.72 | 63 | 63.08 ± 7.24 |
Perez et al. [30] | 2008 | Argentina | PCR-RFLP | 64 | 62.70 ± 0.86 | 68 | 59.40 ± 0.85 |
Uysal et al. [31] | 2008 | Turkey | PCR-RFLP | 100 | --- | 146 | --- |
Quevedo et al. [32] | 2008 | Chile | PCR-RFLP | 67 | 77.00 ± 4.00 | 59 | 78.00 ± 9.00 |
Wengreen et al. [33] | 2006 | USA | PCR-RFLP | 819 | 76.70 ± 9.10 | 854 | 76.00 ± 9.40 |
Garnero et al. [34] | 2005 | France | PCR-RFLP | 120 | 61.77 ± 8.40 | 469 | 61.77 ± 8.40 |
Mitra et al. [35] | 2006 | India | PCR-RFLP | 119 | 54.10 ± 3.50 | 97 | 54.10 ± 3.50 |
Duman et al. [36] | 2004 | Turkey | PCR-RFLP | 75 | 53.16 ± 1.31 | 66 | 52.62 ± 1.69 |
Zhu et al. [47] | 2004 | China | PCR-RFLP | 40 | 57.55 ± 5.18 | 158 | 57.55 ± 5.18 |
Douroudis et al. [37] | 2003 | Greece | PCR-RFLP | 35 | 61.37 ± 0.96 | 44 | 58.68 ± 1.01 |
Chen et al. [48] | 2003 | China | PCR-RFLP | 40 | 54.72 ± 2.60 | 21 | 54.72 ± 2.60 |
Lisker et al. [38] | 2003 | Mexico | PCR-RFLP | 66 | 65.20 ± 6.80 | 57 | 56.50 ± 6.00 |
Borjas et al. [39] | 2003 | Venezuela | PCR-RFLP | 54 | --- | 55 | --- |
Leng et al. [49] | 2002 | China | PCR-RFLP | 22 | 51.67 ± 4.93 | 46 | 51.67 ± 4.93 |
A et al. [50] | 2002 | China | PCR-RFLP | 10 | 53.70 ± 7.11 | 13 | 53.70 ± 7.11 |
Zajickova et al. [40] | 2002 | Czech | PCR-RFLP | 65 | 63.60 ± 7.80 | 33 | 60.10 ± 10.30 |
Pollak et al. [41] | 2001 | Israel | PCR-RFLP | 75 | 49.57 ± 2.97 | 143 | 49.57 ± 2.97 |
Valimaki et al. [42] | 2001 | Finland | PCR-RFLP | 372 | --- | 111 | --- |
Aerssens et al. [43] | 2000 | Belgium | PCR-RFLP | 135 | 78.00 ± 9.00 | 239 | 76.00 ± 4.00 |
Garrofe et al. [44] | 2000 | Spain | PCR-RFLP | 75 | 58.30 ± 5.00 | 51 | 57.20 ± 4.50 |
Zhang et al. [51] | 2000 | China | PCR-RFLP | 34 | 66.70 ± 8.50 | 78 | 66.70 ± 8.50 |
Gomez et al. [45] | 1999 | Spain | PCR-RFLP | 37 | 66.30 ± 8.67 | 122 | 63.00 ± 8.67 |
Ramalho et al. [54] | 1998 | Brazil | PCR-RFLP | 56 | 78.50 ± 7.20 | 36 | 72.90 ± 5.20 |
Gennari et al. [46] | 1998 | Italy | Southern Blotting | 160 | 58.20 ± 0.60 | 144 | 57.10 ± 0.70 |
Zhang et al. [52] | 1998 | China | PCR-RFLP | 17 | 56.76 ± 2.80 | 162 | 58.78 ± 3.00 |
Vandevyver et al. [55] | 1997 | Belgium | PCR-RFLP | 75.50 ± 5.00 | 698 | 66.60 ± 8.40 | |
Houston et al. [56] | 1996 | UK | PCR-RFLP | 44 | 66.00 ± 0.85 | 44 | 65.30 ± 0.95 |
Berg et al. [11] | 1996 | Norway | PCR-RFLP | 19 | 63-65 | 30 | 63-65 |
Yanagi et al. [53] | 1996 | Japanese | PCR-RFLP | 46 | 65.00 ± 8.80 | 66 | 64.90 ± 6.30 |
Melhus et al. [1] | 1994 | Sweden | PCR-RFLP | 70 | 70.00 ± 8.00 | 76 | 69.00 ± 8.00 |