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