From: Association between apolipoprotein gene polymorphisms and hyperlipidemia: a meta-analysis
First author | Year | Area | Sample size | Age (y) | Source of control | Genotyping method | Cases | Â | Controls | NOS | HWE | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Case | Control | Case | Control | E2/E2 | E2/E3 | E2/E4 | E3/E3 | E3/E4 | E4/E4 |  | E2/E2 | E2/E3 | E2/E4 | E3/E3 | E3/E4 | E4/E4 | χ2 | P | ||||||
Liang JP [37] | 2008 | Beijing,China | 210 | 94 | 58.48 | NR | HB | PCR-RFLP | 2 | 19 | 2 | 155 | 32 | 0 | Â | 0 | 9 | 1 | 75 | 9 | 0 | 6 | 0.94 | 0.63 |
Wu XH [38] | 2007 | Xinjiang,China | 100 | 91 | 48.7 ± 10.5 | 43.1 ± 10.8 | HB | PCR-RFLP | 0 | 9 | 0 | 69 | 21 | 1 |  | 0 | 13 | 2 | 60 | 14 | 2 | 6 | 1.79 | 0.41 |
Zhao DD [11] | 2007 | Beijing,China | 172 | 80 | NR | HB | PCR-RFLP | 1 | 18 | 2 | 124 | 27 | 0 | Â | 0 | 13 | 0 | 58 | 9 | 0 | 7 | 2.03 | 0.36 | |
Hu HN [39] | 2007 | Hubei,China | 165 | 108 | 60.5 ± 8.3 | 63.8 ± 6.2 | HB | ARMS-PCR | 0 | 26 | 0 | 109 | 27 | 3 |  | 0 | 20 | 0 | 81 | 7 | 0 | 7 | 2.2 | 0.33 |
Zeng ZW [40] | 2001 | Guangdong,China | 163 | 87 | 56.4 ± 3.2 | 58.0 ± 2.4 | HB | PCR-RFLP | 0 | 22 | 5 | 104 | 32 | 0 |  | 0 | 12 | 2 | 61 | 12 | 0 | 6 | 1.82 | 0.4 |
Zeng WY [41] | 1996 | Beijing,China | 133 | 122 | 41–60 | PB | PCR | 5 | 17 | 4 | 88 | 18 | 1 |  | 1 | 14 | 2 | 97 | 8 | 0 | 7 | 2.87 | 0.24 | |
Wang R [42] | 2005 | Sichuan,China | 206 | 250 | 52 | 51 | HB | PCR-RFLP | 0 | 46 | 2 | 135 | 22 | 1 | Â | 2 | 28 | 1 | 182 | 35 | 2 | 7 | 1.9 | 0.39 |
Zhu CL [43] | 2005 | Hubei,China | 113 | 108 | 62.5 ± 7.2 | 63.8 ± 6.2 | HB | ARMS-PCR | 0 | 16 | 0 | 74 | 21 | 2 |  | 0 | 20 | 0 | 81 | 7 | 0 | 7 | 2.2 | 0.33 |
Tian Y [44] | 2005 | Sichuan,China | 103 | 146 | 56.9 ± 8.5 | 56.3 ± 9.8 | PB | PCR-RFLP | 2 | 23 | 1 | 64 | 12 | 1 |  | 1 | 15 | 1 | 102 | 27 | 0 | 8 | 2.53 | 0.28 |
Zhang YH [45] | 2004 | Beijing,China | 160 | 328 | 47.3 ± 13.8 | 40.1 ± 13.5 | PB | PCR-RFLP | 0 | 13 | 5 | 114 | 22 | 6 |  | 0 | 55 | 8 | 225 | 38 | 2 | 7 | 5.59 | 0.06 |
Jiang WM [46] | 2013 | Jiangsu,China | 102 | 100 | 48.4 ± 9.7 | 50.2 ± 15.1 | HB | DNA sequencing | 1 | 9 | 2 | 64 | 22 | 4 |  | 0 | 7 | 1 | 86 | 6 | 0 | 7 | 2.19 | 0.33 |
Qian J [47] | 2011 | Jiangsu,China | 212 | 100 | 54.6 ± 11.9 | 50.2 ± 15.1 | HB | DNA sequencing | 2 | 21 | 6 | 127 | 47 | 9 |  | 0 | 7 | 1 | 86 | 6 | 0 | 7 | 2.19 | 0.33 |
Liu YL [48] | 2006 | Shanxi,China | 72 | 95 | NR | HB | ARMS-PCR | 2 | 8 | 3 | 45 | 13 | 1 | Â | 0 | 16 | 3 | 61 | 15 | 0 | 7 | 2.66 | 0.26 | |
Zhan CY [49] | 2007 | Beijing,China | 96 | 95 | 60.0 ± 8.3 | NR | HB | PCR | 0 | 9 | 0 | 75 | 12 | 0 |  | 0 | 9 | 1 | 75 | 9 | 1 | 7 | 1.75 | 0.42 |
Luo R [50] | 2006 | Hubei,China | 164 | 156 | 58.3 ± 7.1 | 53.1 ± 4.7 | HB | PCR-RFLP | 1 | 27 | 1 | 101 | 28 | 6 |  | 1 | 21 | 3 | 116 | 13 | 2 | 6 | 5.04 | 0.08 |
Zhang XM [51] | 2001 | Sichuan,China | 74 | 230 | 56.8 ± 12.4 | 51.3 ± 10.3 | PB | PCR-RFLP | 0 | 10 | 2 | 56 | 6 | 0 |  | 2 | 26 | 1 | 165 | 35 | 1 | 7 | 2.27 | 0.32 |
Jiang WM [52] | 2013 | Jiangsu,China | 93 | 100 | 56.0 ± 11.85 | 50.2 ± 15.1 | HB | DNA sequencing | 1 | 7 | 2 | 57 | 22 | 4 |  | 0 | 7 | 1 | 86 | 6 | 0 | 6 | 2.19 | 0.33 |
Jiang WM [53] | 2012 | Jiangsu,China | 212 | 100 | 54.6 ± 11.85 | 50.2 ± 15.1 | HB | DNA sequencing | 2 | 21 | 6 | 127 | 47 | 9 |  | 0 | 7 | 1 | 86 | 6 | 0 | 6 | 2.19 | 0.33 |
Long SY [54] | 2004 | Sichuan,China | 112 | 73 | 58.2 ± 7.9 | 55.1 ± 9.7 | PB | PCR-RFLP | 1 | 21 | 4 | 68 | 17 | 1 |  | 1 | 8 | 0 | 48 | 16 | 0 | 7 | 3.89 | 0.14 |
Zhang XM [55] | 2001 | Sichuan,China | 225 | 230 | 53.0 ± 15.5 | 51.3 ± 10.3 | PB | PCR-RFLP | 1 | 37 | 5 | 156 | 23 | 3 |  | 2 | 26 | 1 | 165 | 35 | 1 | 7 | 2.27 | 0.32 |
ALBERT [56] | 2003 | Amsterdam, Netherlands | 450 | 2018 | 10.8 | NR | HB | PCR | 0 | 50 | 10 | 243 | 135 | 12 | Â | 13 | 261 | 45 | 1128 | 512 | 59 | 7 | 2.83 | 0.24 |
Turky H.A [57] | 2018 | Riyadh, Saudi Arabia | 104 | 100 | 57.8 ± 9.9 | 44.0 ± 6.3 | HB | TaqMan | 1 | 7 | 2 | 74 | 18 | 2 |  | 0 | 4 | 0 | 85 | 11 | 0 | 8 | 0.66 | 0.72 |
Corella [58] | 2000 | Valencia, Spain | 330 | 330 | 38.8 ± 9.1 | 37.6 ± 8.4 | PB | PCR | 0 | 17 | 5 | 237 | 69 | 2 |  | 3 | 50 | 1 | 252 | 23 | 1 | 7 | 1.28 | 0.53 |
Kobori [59] | 1988 | Kumamoto, Japan | 447 | 188 | 30–69 | HB | SRID | 9 | 49 | 7 | 323 | 47 | 12 |  | 0 | 12 | 1 | 143 | 30 | 2 | 7 | 0.39 | 0.82 | |
Cenarro [60] | 2016 | Zaragoza, Spain | 288 | 220 | 47.9 ± 11.5 | 44.8 ± 16.0 | HB | RT-PCR | 0 | 9 | 1 | 186 | 72 | 11 |  | 0 | 19 | 3 | 160 | 34 | 4 | 8 | 2.53 | 0.28 |
Kiran [61] | 2011 | New Delhi, India | 219 | 352 | 42.0 ± 7.9 | 35.2 ± 9.6 | HB | PCR-RFLP | 0 | 8 | 4 | 143 | 62 | 2 |  | 2 | 19 | 3 | 251 | 73 | 4 | 7 | 5.48 | 0.06 |
SolanasB [62] | 2012 | Zaragoza, Spain | 312 | 264 | 48.4 ± 9.7 | 43.5 ± 16.9 | HB | PCR | 11 | 25 | 5 | 189 | 65 | 8 |  | 1 | 27 | 4 | 183 | 45 | 4 | 8 | 0.46 | 0.79 |
N.Ferreira [63] | 2010 | Minas Gerais, Brasil | 109 | 107 | 48.4 ± 6.8 | 46.7 ± 6.6 | HB | PCR-RFLP | 0 | 10 | 0 | 77 | 18 | 4 |  | 0 | 9 | 0 | 72 | 25 | 1 | 7 | 2.26 | 0.32 |
FUMERON [64] | 1988 | Paris, France | 59 | 113 | NR | HB | PCR | 0 | 5 | 1 | 35 | 14 | 4 | Â | 1 | 13 | 1 | 79 | 16 | 3 | 6 | 3.96 | 0.14 | |
T Kuusi [65] | 1988 | Helsinki, Finland | 21 | 21 | 45.2 ± 0.8 | 46.7 ± 1.5 | HB | PCR | 0 | 1 | 3 | 2 | 8 | 7 |  | 0 | 1 | 0 | 11 | 8 | 1 | 6 | 0.44 | 0.8 |