Table 4.

Multiple Linear Regression Analyses for Interleukin 1R2 (IL1R2) Haplotype A2 (HapA2) and Tumor Necrosis Factor Alpha (TNFA) rs1800629 to Predict Low to High State Anxiety (n=231)

Predictor of Low to High State Anxiety	β Coefficient	Standard Error	95% CI	t	p-value
IL1R2 HapA2 genotype	3.014	1.380	.294, 5.735	2.18	.030
Age	−.968	.314	−1.587, −.349	−3.08	.002
Functional status	−2.210	.573	−3.338, −1.081	−3.86	<.001
Overall model fit: F(9, 221) = 4.45, p <.0001 R2 = .1534
TNFA rs1800629	−3.679	1.462	−6.560, −.797	−2.52	.013
Age	−1.031	.312	−1.647, −.415	−3.30	.001
Functional status	−2.070	.574	−3.202, −.939	−3.61	<.001
Overall model fit: F(9, 221) = 4.65, p <.0001 R2 = .1592

For this model, the first three principle components identified from the analysis of ancestry informative markers as well as self-reported race/ethnicity (White, Asian/Pacific Islander, Black, Hispanic/Mixed Ethnic Background/Other) were retained to adjust for potential confounding due to race or ethnicity (data not shown). Predictors evaluated in the model included genotype (IL1R2 HapA2: composed of IL1R2 rs4141134 [rare “C” allele], rs11674595 [common “T” allele], and rs7570441 [common “G” allele]; and TNFA rs1800629: GG versus GA+AA), age (in 5-year increments), and functional status (Karnofsky Performance Status score, in 10-point increments).