Table 1. Variance explained by large region joint associations in HRS.

Trait	Variance Explained by Candidate SNPs 1	Variance explained by Candidate Windows (unadjusted 2 )		Variance explained by Candidate Windows (adjusted 3 )
		Variance Explained (95%CI)	p-value 4	Variance Explained (95%CI)	p-value 4
BMI	0.0146	0.0123	0.28	-0.0019	0.52
		(-0.0259–0.0522)		(-0.0477–0.0384)
CRP	0.0334	0.0615	<0.001	0.0376	0.01
		(0.0306–0.0901)		(0.0053–0.0663)
HDL-C	0.0459	0.0307	0.24	-0.0150	0.64
		(-0.0544–0.1100)		(-0.0966–0.0671)
Height	0.1292	0.3095	<0.001	0.1716	<0.001
		(0.2004–0.4070)		(0.0632–0.274)

¹ 28 SNPs from [18] were tested for BMI, 16 SNPs from [20] were tested for CRP, 67 SNPs from [19] were tested for HDLc, and 180 SNPs from [17] were tested for height.

² In the unadjusted analysis, traits were not adjusted for candidate SNPs.

³ In the adjusted analysis, traits were first adjusted for candidate SNPs associations.

⁴ P-values were obtained from 1,000 permutations.