A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data

BMC Genomics

Table 4 An example of 20 pairs of variables that had both direct and indirect effects

Outcome	Causal	Direct effect	Indirect effect	Total effect	Marginal effect
BMI	ATP6V1G3	−0.5701	0.0107	−0.5594	−0.5360
BMI	C12orf77	−1.3704	−0.2745	−1.6449	−1.7371
BMI	EPHB2	−0.2627	0.0544	−0.2083	−0.2017
BMI	PIK3R5	0.0631	−0.0119	0.0512	0.0541
BMI	RPS21	0.7630	0.0123	0.7754	0.8282
DBP	CHUK	0.0553	−0.0355	0.0199	0.0213
FASTGLUCOSE	C11orf49	0.6186	0.0146	0.6332	0.5846
FASTGLUCOSE	C12orf77	−1.2863	−0.2366	−1.5228	−1.5121
FASTGLUCOSE	PIK3R5	0.0674	−0.0133	0.0541	0.0530
FASTGLUCOSE	TAF5L	0.2911	0.0196	0.3107	0.2942
FASTINSULIN	SFMBT2	0.2874	−0.0898	0.1975	0.1930
FIBRINOGEN	FAM120AOS	−0.1550	0.0033	−0.1516	−0.1597
HDL	CREBBP	0.1168	−0.0176	0.0992	0.1097
HDL	ITPR2	0.0946	−0.0542	0.0404	0.0434
LDL	TOTCHOL	0.9458	0.0161	0.9619	0.9398
SBP	AQPEP	−0.0425	0.0282	−0.0143	−0.0156
SBP	CHUK	−0.0595	0.0335	−0.0261	−0.0272
SBP	MET	−0.0596	0.0376	−0.0220	−0.0212

ISSN: 1471-2164