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. 2022 Feb 8;71(5):1137–1148. doi: 10.2337/db21-0839

Table 5.

GREML-SC and GREML-LDMS estimates using the ACCORD genotype and imputed data, respectively

Phenotype Proportion of cases in the sample n V(G)/V(p) (SE)
GREML-SC GREML-LDMS
Retin1 0.084 4,318 0.139 (0.088) 0.288 (0.183)
Retin2 0.158 4,318 0.044 (0.083) 0.063 (0.169)
Retin3 0.360 4,318 0.002 (0.084) NA
Retin4 0.068 4,318 0.000 (0.089) 0.328 (0.174)
Neph1 0.591 4,318 0.123 (0.090) NA
Neph2 0.070 3,866 0.106 (0.101) 0.409 (0.201)
Neph3 0.028 4,318 0.000 (0.082) NA
Neph4 0.616 4,318 0.129 (0.091) NA
Neph5 0.241 2,912 0.160 (0.132) 0.596 (0.254)
Primary 0.106 4,318 0.248 (0.093) NA
Nonfatal MI 0.071 4,318 0.102 (0.090) 0.110 (0.192)
Major CHD 0.129 4,318 0.090 (0.089) 0.118 (0.181)
Total mortality 0.066 4,318 0.013 (0.088) NA
CVD mortality 0.028 4,318 0.094 (0.089) NA
Nonfatal stroke 0.015 4,318 0.112 (0.090) NA
Total stroke 0.018 4,318 0.179 (0.091) NA

NA under GREML-LDMS, the GREML analysis failed to run due to the small sample size; n, number of samples without missing phenotype; V(G)/V(p), proportion of phenotypic variance explained by genotypes (i.e., heritability, as observed in the study population).