Table 2 Proportion of the phenotypic variance explained by genomic (G: genomic relationship matrix, K: kinship matrix) and environmental matrices (C: couple matrix, S: sibling matrix)

From: Regional variation in health is predominantly driven by lifestyle rather than genetics

Trait

Model

G

K

C

S

Height

Model F

0.481 (0.034)*

0.387 (0.043)*

0.125 (0.032)*

0.007 (0.018)

 

Model S+E

0.457 (0.034)*

0.415 (0.042)*

0.122 (0.032)*

0.006 (0.017)

Weight

Model F

0.274 (0.034)*

0.349 (0.046)*

0.200 (0.035)*

0.030 (0.021)

 

Model S+E

0.280 (0.034)*

0.333 (0.046)*

0.191 (0.035)*

0.027 (0.021)

BIA fat

Model F

0.274 (0.034)*

0.229 (0.047)*

0.207 (0.036)*

0.049 (0.023)*

 

Model S+E

0.248 (0.035)*

0.212 (0.048)*

0.179 (0.037)*

0.052 (0.023)*

Waist

Model F

0.198 (0.033)*

0.341 (0.047)*

0.241 (0.034)*

0.029 (0.022)

 

Model S+E

0.182 (0.034)*

0.320 (0.047)*

0.220 (0.035)*

0.029 (0.023)

Hips

Model F

0.192 (0.034)*

0.314 (0.047)*

0.211 (0.036)*

0.043 (0.023)

 

Model S+E

0.197 (0.034)*

0.297 (0.047)*

0.200 (0.036)*

0.039 (0.023)

WHR

Model F

0.152 (0.033)*

0.205 (0.046)*

0.120 (0.038)*

0.022 (0.024)

 

Model S+E

0.099 (0.034)*

0.217 (0.047)*

0.089 (0.038)*

0.022 (0.025)

BMI

Model F

0.276 (0.033)*

0.327 (0.046)*

0.255 (0.034)*

0.024 (0.021)

 

Model S+E

0.266 (0.034)*

0.294 (0.046)*

0.232 (0.035)*

0.026 (0.022)

ABSI

Model F

0.101 (0.032)*

0.223(0.045)*

0.051(0.037)

0.025(0.024)

 

Model S+E

0.080(0.033)*

0.245 (0.046)*

0.049(0.037)

0.021(0.024)

Creatinine

Model F

0.247(0.035)*

0.387 (0.046)*

0.141 (0.032)*

0.040 (0.022)

 

Model S+E

0.223 (0.035)*

0.393 (0.047)*

0.138 (0.032)*

0.050 (0.022)*

TC

Model F

0.205 (0.035)*

0.143 (0.048)*

0.045 (0.035)

0.081 (0.024)*

 

Model S+E

0.208 (0.035)*

0.131 (0.048)*

0.038 (0.036)

0.086 (0.024)*

HDL

Model F

0.311 (0.035)*

0.267 (0.046)*

0.093 (0.034)*

0.038 (0.022)

 

Model S+E

0.299 (0.035)*

0.238 (0.047)*

0.060 (0.035)

0.050 (0.022)*

  1. Columns three to six show the variance captured by each matrix when fitted together (Full Model). The two models used were the Family Model (F): with sex, age and clinic included as covariates; and the Structure and Environment Model (S+E): with gPCs, SELS, sex, age and clinic included as covariates. An asterisk marks the estimates that are significantly different from zero
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