You are viewing the site in preview mode

Skip to main content

Table 4 Principal characteristics of the studies of APOB included in the review

From: Association between apolipoprotein gene polymorphisms and hyperlipidemia: a meta-analysis

SNP First author Year Area Sample size Age (y) Source of control Genotyping method Cases   Controls NOS HWE
Case Control Case Control M-M−/TT/ AA M + M−/CT/ AG M + M+ /CC/ GG   M-M−/TT/ AA M + M−/CT/ AG M + M+ /CC/ GG χ2 P
APOB Msp Cao WJ [25] 2009 Xinjiang, China 100 90 46 ± 11 44 ± 11 HB PCR-RFLP 0 4 95   0 3 87 6 0.03 0.87
Chi YH [26] 2012 Xinjiang, China 247 221 48.7 ± 7.7 47.3 ± 6.2 HB PCR-RFLP 9 70 168   6 67 148 7 0.24 0.63
Huang G [20] 2011 Xinjiang, China 275 252 47.7 ± 7.9 48.2 ± 7.6 HB PCR-RFLP 25 68 182   22 69 161 8 3.43 0.06
Jin YN [27] 2015 Chongqing,China 157 180 48.1 ± 3.8 49.1 ± 4.2 HB DNA chips 0 26 131   0 35 145 7 2.09 0.15
Chi YH [21] 2012 Xinjiang, China 200 200 58.5 ± 11.8 58.3 ± 11.5 PB PCR-RFLP 6 66 128   12 64 124 7 0.91 0.34
Selma [28] 2000 Sao Paulo, Brazil 177 100 58 44 HB PCR 2 25 150   1 24 75 6 0.37 0.54
APOB XbaI Qian J [29] 2010 Yunnan, China 91 76 46.9 ± 11.4 47.5 ± 8.1 HB DNA chips 0 7 84   1 11 64 7 0.42 0.51
Feng JS [30] 1997 Guangdong, China 108 128 40–70 HB DNA probe 0 8 100   0 11 117 6 0.26 0.61
Ma ZZ [31] 2012 Guangdong, China 250 250 45.50 ± 13.20 PB PCR-RFLP 0 52 198   0 28 222 8 0.88 0.35
Chi YH [26] 2012 Xinjiang, China 247 221 48.7 ± 7.7 47.3 ± 6.2 HB PCR-RFLP 4 54 189   3 41 177 7 0.13 0.72
Xie YJ [22] 2011 Xinjiang, China 150 150 56.8 ± 10.8 58.1 ± 10.5 HB PCR-RFLP 2 29 119   0 12 138 7 0.26 0.61
Jin YN [27] 2015 Chongqing,China 157 180 48.1 ± 3.8 49.1 ± 4.2 HB DNA chips 0 28 129   0 35 145 7 2.09 0.15
Zhang PZ [32] 2015 Beijing,
China 		100 100 60.0 ± 5.0 HB PCR 0 20 80   0 5 95 8 0.07 0.8
Ou HJ [5] 2015 Xinjiang, China 241 246 49.1 ± 0.7 48.3 ± 0.8 HB MALDI-TOF 0 19 222   0 32 214 7 1.19 0.28
Selma [28] 2000 Sao Paulo, Brazil 177 100 58 44 HB PCR 30 94 53   13 55 32 6 1.99 0.16
Philippa [33] 1987 London, U.K. 133 62 NR HB PCR-RFLP 43 59 31   12 38 12 6 3.16 0.08
Gong LG [34] 2003 Liaoning, China 115 150 54.2 ± 11.7 52.5 ± 13.1 HB PCR-RFLP 1 29 85   0 12 138 6 0.26 0.61
CHOONG [35] 1999 Singapore 131 173 NR HB PCR-RFLP 0 25 106   0 21 152 6 0.72 0.4
APOB EcorI Qian J [29] 2010 Yunnan, China 91 76 46.9 ± 11.4 47.5 ± 8.06 HB DNA chips 0 13 78   0 3 73 7 0.03 0.86
Ma ZZ [31] 2012 Guangdong, China 250 250 45.5 ± 13.2 PB PCR-RFLP 0 41 209   0 28 222 8 0.88 0.35
Huang G [20] 2011 Xinjiang, China 275 252 47.7 ± 7.9 48.2 ± 7.6 HB PCR-RFLP 12 73 190   10 77 165 8 0.07 0.79
Xie YJ [22] 2011 Xinjiang, China 150 150 56.8 ± 10.8 58.1 ± 10.5 HB PCR-RFLP 1 55 94   0 19 131 7 0.69 0.41
Jin YN [27] 2015 Chongqing,China 157 180 48.1 ± 3.8 49.11 ± 4.2 HB DNA chips 0 12 145   0 20 160 7 0.62 0.43
Zhang PZ [32] 2015 Beijing,
China 		100 120 60.0 ± 5.0 HB PCR 1 19 80   1 11 108 8 1.33 0.25
Ou HJ [5] 2015 Xinjiang, China 241 246 49.1 ± 0.7 48.3 ± 0.8 HB MALDI-TOF 1 29 211   0 22 224 7 0.54 0.46
Chi YH [21] 2012 Xinjiang, China 200 200 58.5 ± 11.8 58.3 ± 11.5 PB PCR-RFLP 6 52 142   6 56 138 7 0.01 0.91
CHOONG [35] 1999 Singapore 131 173 NR HB PCR-RFLP 0 9 122   0 16 157 6 0.41 0.52
Timirci O [36] 2010 Capa-Istanbul, Turkey 38 39 11.5 ± 3.6 11.4 ± 3.2 HB PCR 0 4 34   0 4 35 7 0.11 0.74
  1. SNP single nucleotide polymorphism, PB population-based; HB: hospital-based, HWE Hardy-Weinberg equilibrium, NR not reported
Back to article page

BMC Genomic Data

ISSN: 2730-6844

Contact us

\