Table 3. Heritability Estimates for Continuous BMI-related Traits.
Using Whole Population | Excluding related >0.025 | ||||||||
Phenotype | n analyzed | Estimate of h2 (a) | se | Estimate of hg 2 (b) | se | n analyzed | Estimate of hg 2 (c) | se | |
BMI | 5,343 | 0.833 | 0.056 | 0.619 | 0.047 | 2,125 | 0.466 | 0.165 | |
Male | 2,590 | 1.000 | 0.076 | 0.792 | 0.077 | 751 | 0.943 | 0.462 | |
Female | 2,753 | 0.653 | 0.141 | 0.588 | 0.097 | 1,374 | 0.602 | 0.259 | |
Height | 5,344 | 0.634 | 0.064 | 0.460 | 0.050 | 2,125 | 0.352 | 0.173 | |
Male | 2,590 | 1.000 | 0.059 | 0.901 | 0.071 | 751 | 0.786 | 0.459 | |
Female | 2,754 | 0.917 | 0.136 | 0.541 | 0.103 | 1,374 | 0.428 | 0.268 | |
Change in BMI | 4,983 | 0.142 | 0.077 | 0.141 | 0.053 | 1,981 | 0.042 | 0.176 | |
Male | 2,340 | 0.312 | 0.114 | 0.263 | 0.091 | 666 | 0.169 | 0.483 | |
Female | 2,643 | 0.149 | 0.159 | 0.086 | 0.102 | 1,315 | 0.000 | 0.265 |
se: standard error
(a) estimate of the full narrow sense heritability, calculated using GCTA, but replacing the full related matrix with a modified one that assumes zero relatedness between participants whose estimated relatedness is less than 0.05
(b) estimate of the amount of variance in the trait that was explained by the interrogated SNVs in a linear model, using the relatedness matrix calculated by GCTA, and using all participants
(c) estimate of the amount of variance in the trait that was explained by the interrogated SNVs in a linear model, using the relatedness matrix calculated by GCTA, and including only one participant of any pair where the estimated kinship coefficient was larger than 0.025 (2nd-3rd cousins).