response: diastm
covariates: age1 sex
SNP: SMAD3_MG_452
Call:
lm(formula = response[notmissing] ~ allele[notmissing] + z[notmissing,
] + as.factor(ruaco[notmissing]))
Residuals:
Min 1Q Median 3Q Max
-43.869 -6.763 -0.603 6.826 47.540
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 81.242878 2.626611 30.931 < 2e-16
allele[notmissing] -0.468703 0.425472 -1.102 0.270775
z[notmissing, ]1 -0.005097 0.036757 -0.139 0.889739
z[notmissing, ]2 3.404467 0.909639 3.743 0.000188
as.factor(ruaco[notmissing])FIN-EAS_03 0.330684 1.039164 0.318 0.750353
as.factor(ruaco[notmissing])FIN-EAS_24 -0.340458 0.940732 -0.362 0.717462
as.factor(ruaco[notmissing])FIN-WES_03 1.918400 1.107592 1.732 0.083432
as.factor(ruaco[notmissing])FIN-WES_24 2.931926 1.097542 2.671 0.007621
as.factor(ruaco[notmissing])FRA-LIL_21 -0.444179 1.990660 -0.223 0.823458
as.factor(ruaco[notmissing])FRA-STR_21 1.720768 1.599960 1.076 0.282288
as.factor(ruaco[notmissing])FRA-TOU_21 -6.680866 1.662730 -4.018 6.10e-05
as.factor(ruaco[notmissing])SWE-NSW_02 -0.735984 1.446521 -0.509 0.610956
as.factor(ruaco[notmissing])SWE-NSW_03 -1.865016 1.467532 -1.271 0.203941
as.factor(ruaco[notmissing])UNK-BEL_21 -4.385470 1.084642 -4.043 5.49e-05
(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: 10.78 on 1856 degrees of freedom
Multiple R-squared: 0.03454, Adjusted R-squared: 0.02778
F-statistic: 5.107 on 13 and 1856 DF, p-value: 5.51e-09
Updated on 2008-06-04