Bivariate GCTA-GREML estimates of genetic correlation between samples from the USA and Europe for height and BMI.
| Trait . | Sample size (men versus women) . | h2g (USA) . | h2g (Europe) . | rg . | ||||
|---|---|---|---|---|---|---|---|---|
| Est. . | SE . | Est. . | Est. . | Est. . | SE . | P(rg = 1) . | ||
| Height | 21 006 versus 22 593 | 0.419 | 0.017 | 0.475 | 0.015 | 0.961 | 0.030 | 0.195 |
| BMI | 20 904 versus 22 462 | 0.240 | 0.017 | 0.248 | 0.016 | 0.894 | 0.058 | 0.068 |
| Trait . | Sample size (men versus women) . | h2g (USA) . | h2g (Europe) . | rg . | ||||
|---|---|---|---|---|---|---|---|---|
| Est. . | SE . | Est. . | Est. . | Est. . | SE . | P(rg = 1) . | ||
| Height | 21 006 versus 22 593 | 0.419 | 0.017 | 0.475 | 0.015 | 0.961 | 0.030 | 0.195 |
| BMI | 20 904 versus 22 462 | 0.240 | 0.017 | 0.248 | 0.016 | 0.894 | 0.058 | 0.068 |
h2g = proportion of phenotypic variance explained by all SNPs used in the analysis. P(rg = 1): Wald's test P-value against rg = 1.
Bivariate GCTA-GREML estimates of genetic correlation between samples from the USA and Europe for height and BMI.
| Trait . | Sample size (men versus women) . | h2g (USA) . | h2g (Europe) . | rg . | ||||
|---|---|---|---|---|---|---|---|---|
| Est. . | SE . | Est. . | Est. . | Est. . | SE . | P(rg = 1) . | ||
| Height | 21 006 versus 22 593 | 0.419 | 0.017 | 0.475 | 0.015 | 0.961 | 0.030 | 0.195 |
| BMI | 20 904 versus 22 462 | 0.240 | 0.017 | 0.248 | 0.016 | 0.894 | 0.058 | 0.068 |
| Trait . | Sample size (men versus women) . | h2g (USA) . | h2g (Europe) . | rg . | ||||
|---|---|---|---|---|---|---|---|---|
| Est. . | SE . | Est. . | Est. . | Est. . | SE . | P(rg = 1) . | ||
| Height | 21 006 versus 22 593 | 0.419 | 0.017 | 0.475 | 0.015 | 0.961 | 0.030 | 0.195 |
| BMI | 20 904 versus 22 462 | 0.240 | 0.017 | 0.248 | 0.016 | 0.894 | 0.058 | 0.068 |
h2g = proportion of phenotypic variance explained by all SNPs used in the analysis. P(rg = 1): Wald's test P-value against rg = 1.
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