Table 1.

Conditional logistic regression of CFH Y402H, CFH rs10737680 and CFHR1–3Δ

Logistic regression model	Y402H (rs10801555)			rs10737680			CFHR1–CFHR3 deletion
	OR	95% c.i.	P	OR	95% c.i.	P	OR	95% c.i.	P
Single marker model	0.39	0.34–0.46	1.2 × 10−35	0.38	0.33–0.45	1.6 × 10−32	0.37	0.30–0.45	6.5 × 10−21
Conditional on Y402H (rs10801555)	–	–	–	0.58	.47–0.71	1.1 × 10−7	0.58	0.46–0.72	2.3 × 10−6
Conditional on rs10737680	3.55	0.46–0.66	4.5 × 10−10	–	–	–	0.72	0.55–0.95	0.02
Conditional on CFHR1–3Δ	0.47	0.40–0.55	7.7 × 10−21	0.45	0.37–0.55	1.8 × 10−14	–	–	–

Measurement of whether each of the three biallelic markers has a significant additive effect on AMD risk. For each marker we present the additive odds ratio (OR), the 95% c.i and the statistical significance of that OR. The rs10737680 SNP is a perfect proxy for the previously associated rs1410996 intronic CFH SNP. The first row presents an unconditional univariate analysis for each marker. The next three rows present the effect sizes of each marker after conditioning on each of the markers.