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

Zhao, Xiao-Ning; Sun, Quan; Cao, You-Qin; Ran, Xiao; Cao, Yu

doi:10.1186/s12863-021-00968-1

BMC Genomic Data

Table 1 Main characteristics of the studies of APOA 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
SNP	First author	Year	Area	Case	Control	Case	Control	Source of control	Genotyping method	TT/GG/CC	CT/GA/CT	CC/AA/TT	TT/GG/CC	CT/GA/CT	CC/AA/TT	NOS	χ²	P
APOA5–1131 T>C	Zhao DD [11]	2007	Beijing, China	172	80	NR	NR	HB	PCR-RFLP	63	86	23	39	36	5	7	0.77	0.37
	Niu ZB [12]	2016	Shanghai, China	156	262	NR	NR	PB	MALDI-TOF	68	68	20	153	94	15	9	0.01	0.91
	Huang M [13]	2008	Taiwan, China	76	240	59.57 ± 10.2	60.98 ± 13.58	PB	PCR-RFLP	15	41	20	99	111	30	8	0.02	0.9
	Long SY [14]	2013	Hunan, China	95	102	61 ± 12	62 ± 12	HB	PCR-RFLP	46	36	13	50	45	7	7	0.54	0.46
	Maria [15]	2014	Napoli, Italian	165	142	47.5 ± 12.2	43.9 ± 9.6	HB	TaqMan	111	49	5	117	23	2	7	0.49	0.48
	Cláudia [16]	2012	Minas Gerais, Brazil	108	107	48.4 ± 6.8	46.7 ± 6.6	PB	PCR-RFLP	52	52	4	71	33	3	7	0.13	72
	Brito [17]	2010	Belo Horizonte, Brazil	53	77	10.4 ± 2.7	11.2 ± 3.4	HB	PCR-RFLP	34	14	5	62	13	2	6	1.52	0.22
	ZK Liu [18]	2009	Hongkong, China	56	176	49.6 ± 12.3	50.1 ± 9.4	HB	PCR	9	27	20	101	61	11	7	0.19	0.66
	Peter H [19]	2008	Netherlands	254	240	NR	NR	HB	PCR	142	72	7	172	22	1	6	0.11	0.75
	Han Y [8]	2012	Hunan, China	109	117	60.3 ± 12.1	62.9 ± 12.0	HB	PCR-RFLP	52	43	14	59	50	8	7	0.36	0.55
APOA1-75 bp	Huang G [20]	2011	Xinjiang, China	275	252	47.7 ± 7.9	48.23 ± 7.6	HB	PCR-RFLP	135	102	38	136	95	21	8	0.57	0.49
	Feng DW [7]	2016	Xinjiang, China	365	370	46.8 ± 15.9	45.21 ± 16.4	PB	PCR	248	104	13	280	83	7	9	0.09	0.77
	Feng DW [7]	2016	Xinjiang, China	345	391	43.9 ± 14.3	41.5 ± 13.3	PB	PCR	250	87	7	299	86	5	9	0.18	0.67
	Chi YH [21]	2012	Xinjiang,China	200	200	58.5 ± 11.8	58.3 ± 11.5	PB	PCR-RFLP	116	82	2	124	73	5	7	2.31	1.29
	Bora K [2]	2017	Assam, India	100	100	43.1 ± 11.6	43.0 ± 11.6	PB	PCR-RFLP	62	35	3	60	33	7	8	0.68	0.41
APOA1+83 bp	Xie YJ [22]	2011	Xinjiang, China	150	150	56.8 ± 10.8	58.1 ± 10.5	HB	PCR-RFLP	126	24	0	130	20	0	7	0.77	0.38
	Ou HJ [5]	2015	Xinjiang, China	241	246	49.1 ± 0.7	48.3 ± 0.8	HB	MALDI-TOF	160	80	1	171	73	2	7	3.78	0.05
	Feng DW [7]	2016	Xinjiang, China	365	370	46.8 ± 15.9	45.2 ± 16.4	PB	PCR	317	48	0	304	63	3	9	0.02	0.89
	Feng DW [7]	2016	Xinjiang,China	345	391	43.91 ± 14.27	41.51 ± 13.28	PB	PCR	299	44	1	330	57	3	9	0.1	0.76
	Zhu H [23]	2001	Sichuan, China	134	255	54.7 ± 12.6	51.7 ± 10.9	PB	PCR	123	11	0	238	17	0	7	0.3	0.58
	Jia LQ [24]	2005	Sichuan, China	118	109	58.1 ± 8.9	54.5 ± 9.6	NR	PCR	105	13	0	99	10	0	6	0.25	0.62
	Bora K [2]	2017	Assam, India	100	100	43.12 ± 11.64	42.95 ± 11.60	PB	PCR-RFLP	89	11	0	87	13	0	8	0.48	0.49

SNP single nucleotide polymorphism, PB population-based; HB: hospital-based, HWE Hardy-Weinberg equilibrium, NR not reported

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