response: diastm
covariates: age1 sex
SNP: MTHFD1L_MG_449
Call:
lm(formula = response[notmissing] ~ allele[notmissing] + z[notmissing,
] + as.factor(ruaco[notmissing]))
Residuals:
Min 1Q Median 3Q Max
-43.6597 -6.5835 -0.5807 6.6707 47.9088
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 81.716756 2.834225 28.832 < 2e-16
allele[notmissing] 0.208534 1.173926 0.178 0.859027
z[notmissing, ]1 -0.004937 0.036721 -0.134 0.893059
z[notmissing, ]2 3.393594 0.909796 3.730 0.000197
as.factor(ruaco[notmissing])FIN-EAS_03 0.223557 1.036231 0.216 0.829214
as.factor(ruaco[notmissing])FIN-EAS_24 -0.325799 0.940995 -0.346 0.729210
as.factor(ruaco[notmissing])FIN-WES_03 1.917900 1.107705 1.731 0.083543
as.factor(ruaco[notmissing])FIN-WES_24 2.894706 1.098025 2.636 0.008452
as.factor(ruaco[notmissing])FRA-LIL_21 -0.637297 1.986062 -0.321 0.748334
as.factor(ruaco[notmissing])FRA-STR_21 1.683481 1.600494 1.052 0.293005
as.factor(ruaco[notmissing])FRA-TOU_21 -6.632828 1.662985 -3.989 6.91e-05
as.factor(ruaco[notmissing])SWE-NSW_02 -0.844419 1.445074 -0.584 0.559061
as.factor(ruaco[notmissing])SWE-NSW_03 -1.916519 1.467793 -1.306 0.191811
as.factor(ruaco[notmissing])UNK-BEL_21 -4.548330 1.077359 -4.222 2.54e-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: 10.79 on 1857 degrees of freedom
Multiple R-squared: 0.03381, Adjusted R-squared: 0.02704
F-statistic: 4.998 on 13 and 1857 DF, p-value: 9.789e-09
Updated on 2008-06-04