Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome

Table 2 Top 10 genetic markers associated with CFS based on weighted genetic variation (WGV) estimated by the Bayesian model

SNP ID	Proxy SNP	Gene symbol^a	SNP annotation^a	WGV	SE of WGV^b
rs2288831	rs3212227	IL12B	Intron (UTR-3)	3.95	0.0299
rs2071376		IL1A	intron	3.6	0.0296
rs2069718		IFNG	intron	3.34	0.0272
rs846906		HSD11B1	intron	3.29	0.0337
rs1923884		HTR2A	intron	3.16	0.0324
rs1799836		MAOB	Intron	2.56	0.0394
rs363236	rs3814230	SLC18A2 (PDZD8)	UTR-3 (synonymous codon)	2.31	0.0272
rs1396862	rs1218523	CRHR1 (IMP5)	Intron (missense codon)	2.31	0.0334
rs891512	rs743507	NOS3	Intron	2.18	0.0287
rs1124492	rs46220755	DRD2	Intron	2.02	0.0312

^aGene symbol and SNP annotation in parenthesis correspond to proxy SNPs, if different from the genotyped SNPs for the model
^bSE of WGV standard error of weighted genetic variation

ISSN: 1479-7364