response: bmi
covariates: age1 sex
SNP: MIA3_MG_454
Call:
lm(formula = response[notmissing] ~ allele[notmissing] + z[notmissing,
] + as.factor(ruaco[notmissing]))
Residuals:
Min 1Q Median 3Q Max
-11.3477 -2.7157 -0.3803 2.2850 25.3372
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 24.968601 0.972378 25.678 < 2e-16
allele[notmissing] 0.025164 0.181039 0.139 0.889467
z[notmissing, ]1 0.028156 0.013578 2.074 0.038237
z[notmissing, ]2 -0.003239 0.311678 -0.010 0.991710
as.factor(ruaco[notmissing])FIN-EAS_03 1.218195 0.372852 3.267 0.001104
as.factor(ruaco[notmissing])FIN-EAS_24 1.250624 0.327109 3.823 0.000136
as.factor(ruaco[notmissing])FIN-WES_03 1.052063 0.393117 2.676 0.007506
as.factor(ruaco[notmissing])FIN-WES_24 0.665923 0.380409 1.751 0.080175
as.factor(ruaco[notmissing])FRA-LIL_21 0.048283 0.639329 0.076 0.939808
as.factor(ruaco[notmissing])FRA-STR_21 1.268850 0.583466 2.175 0.029769
as.factor(ruaco[notmissing])FRA-TOU_21 -0.563443 0.620628 -0.908 0.364060
as.factor(ruaco[notmissing])SWE-NSW_02 -0.642796 0.535067 -1.201 0.229760
as.factor(ruaco[notmissing])SWE-NSW_03 0.488830 0.513060 0.953 0.340818
as.factor(ruaco[notmissing])UNK-BEL_21 -0.837899 0.404530 -2.071 0.038457
(Intercept) ***
allele[notmissing]
z[notmissing, ]1 *
z[notmissing, ]2
as.factor(ruaco[notmissing])FIN-EAS_03 **
as.factor(ruaco[notmissing])FIN-EAS_24 ***
as.factor(ruaco[notmissing])FIN-WES_03 **
as.factor(ruaco[notmissing])FIN-WES_24 .
as.factor(ruaco[notmissing])FRA-LIL_21
as.factor(ruaco[notmissing])FRA-STR_21 *
as.factor(ruaco[notmissing])FRA-TOU_21
as.factor(ruaco[notmissing])SWE-NSW_02
as.factor(ruaco[notmissing])SWE-NSW_03
as.factor(ruaco[notmissing])UNK-BEL_21 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 4.146 on 2039 degrees of freedom
Multiple R-squared: 0.02516, Adjusted R-squared: 0.01895
F-statistic: 4.048 on 13 and 2039 DF, p-value: 1.295e-06
Updated on 2008-06-04