. Author manuscript; available in PMC: 2017 Aug 1.

Published in final edited form as: Biogerontology. 2016 Mar 10;17(4):725–736. doi: 10.1007/s10522-016-9643-y

Table 4. Interaction between RMR and the UCP3 variant explains FI₃₄ in female nonagenarians.

	rs591758		rs675547		rs1626521

	b	se	b	se	b	se
RMR	2.4e-4	1.4e-4	1.4e-4	1.6e-4	-7.1e-5	1.5e-4
SNP	1.6e-2	0.11	-9.4e-2	0.12	-0.40 ^*	0.16
RMRxSNP	2.6e-5	1.1e-4	1.2e-4	1.2e-4	3.9e-4 ^*	1.6e-4

R²	0.32		0.24		0.25
P	0.0013		0.0066		0.0057

b = regression coefficient

p ≤ 0.05 and

^**

p ≤ 0.01);

se = standard error of b; RMR = resting metabolic rate; SNP = additive genetic model for each SNP; R²= adjusted R²; P = p value of the coefficient of determination (R²) obtained by application of the F-statistic in analysis of variance; sample size (n = 37)

Table 4. Interaction between RMR and the UCP3 variant explains FI34 in female nonagenarians.

Table 4. Interaction between RMR and the UCP3 variant explains FI₃₄ in female nonagenarians.