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. Author manuscript; available in PMC: 2016 May 24.
Published in final edited form as: Am Sociol Rev. 2015 Aug;80(4):705–737. doi: 10.1177/0003122415590627

Appendix D.

Bivariate Genome-wide Covariance Estimates For BMI and SES Measures

Childhood SES Young Adulthood SES Late Adulthood SES Cumulative Advantage in SES SES Trajectory
Genetic variance
 BMI 5.49(1.86) 5.80(1.84) 5.89(1.84) 5.86(1.84) 5.92(1.84)
 SES .08(.03) .19(.04) .20(.04) .34(.08) .32(.11)
 Cov(BMI, SES) −.26(.18) −.31(.19) −.08(.21) −.32(.27) −.22(.32)
Residual varaince
 BMI 20.54(1.32) 20.33(1.31) 20.27(1.31) 20.29(1.30) 20.25(1.30)
 SES .39(.02) .39(.03) .44(.03) .64(.05) 1.03(.08)
 Cov(BMI, SES) −.03(.13) −.16(.14) −.44(.14) −.51(.19) −.57(.23)
Phenotypic variance
 BMI 26.03(.71) 26.13(.71) 26.16(.71) 26.15(.71) 26.17(.71)
 SES .47(.01) .58(.02) .64(.02) .98(.03) 1.35(.04)
Heritability
 BMI .21(.07) .22(.07) .23(.07) .22(.07) .23(.07)
 SES .17(.07) .32(.06) .32(.06) .35(.07) .23(.08)
rGE Test
 rG −.39(.30) −.30(.18) −.07(.18) −.22(.19) −.16(.23)
 df 1 1 1 1 1
 p-value .14 .10 .70 .22 .50

Note: To detect potential correlation between SES variables and genetic variants other than the 32 GWAS SNPs used to construct the GPS, we employed bivariate genome-wide-complex-trait-analysis (GCTA) model to assess rGE based on the whole genome (Lee et al. 2012). As a result, there is no significant evidence that SES and BMI are influenced by common variants from the whole genome.