Table 2.

Effect of genetic predisposition score (GPS) on total, LDL and HDL cholesterol, triglycerides, apo A-I and apo B at baseline in three ethnicities and meta-analysed.

	White				S, SE-Asian				Black African				Meta-analysis
	Effect	SE	P	n	Effect	SE	P	n	Effect	SE	P	n	Effect	95%CI	95%CI	P	Heterogeneity
TC (mM)	0.09	0.04	0.03	394	0.13	0.12	0.28	46	−0.04	0.13	0.74	39	0.08	0.01	0.15	0.02	0.56
LDL-C (mM)	0.06	0.02	0.009	392	0.09	0.05	0.09	46	0.07	0.09	0.46	39	0.06	0.02	0.10	0.002	0.80
HDL-C (mM)	−0.03	0.01	0.00002	394	−0.06	0.01	0.00005	46	−0.04	0.02	0.10	39	−0.03	−0.04	−0.02	8.9×10−9	0.10
lnTG (mM)	0.04	0.01	0.004	393	0.03	0.03	0.43	46	0.04	0.04	0.26	39	0.04	0.02	0.06	0.001	0.92
apo A-I (g/L)	−0.02	0.01	0.001	375	−0.04	0.01	0.005	46	−0.02	0.02	0.40	37	−0.02	−0.03	−0.01	0.00003	0.40
apo B (g/L)	0.02	0.01	0.005	375	0.02	0.02	0.23	46	0.01	0.02	0.68	37	0.02	0.01	0.03	0.004	0.93

Data are the co-efficient of associations of genetic predisposition score (GPS) for each trait, presented as per allele effect size, standard error and P derived from linear regression models. The linear regression models were of GPS against trait at baseline adjusted for age, gender and BMI. The LDL-C GPS was used for apo B and the HDL-C GPS for apo A-I regression analysis. TG data was logged for the analysis and is presented as log-transformed data. Data are presented for each ethnic sub-group. The summary statistics were meta-analysed and the per allele effect size (ES), 95% confidence intervals (CI), P and measure of heterogeneity (P-value from test of heterogeneity) are shown. The number of participants (n) in each subgroup is indicated.