Research Article

Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study

Table 4

Best spatial autoregressive models fitting the data. The spatial autocorrelation left in the residuals () and the p value of the likelihood ratio test, comparing the residuals of the fitted model with the one with no spatial autocorrelation (i.e., ), are indicated for each model. In order to compare these four models, landscapes were created as the pixelwise difference between the observed and the predicted genetic landscape for each model ( (GER) − ()). Differences were computed in percentage to the maximal range of values of the (GER) landscape. Mean, standard deviation (SD), and maximal values (Max) of the differences are indicated.

Model valueMeanSDMax

40.768 + GER_P (0.014) + AGE40_54 (0.031) +  
EY8_11 (0.021)
0.2030.44917.014.970.6

48.903 + AGE25_39 (0.028) +
EY8_11 (−0.036) + BILD_MN (−0.802)
−0.3090.018 10.07.636.6

38.897 + GER_P (0.014) + EA55_74 (−0.013) +
EY_MN (0.881) + BILD_MN (−1.293)
0.1300.59013.28.438.4

52.457 + EA55_74 (−0.031) + AGE_MN (0.090) +
EY_MN (−0.811) + EY8_11 (−0.038)
−0.1590.45111.88.239.9