Table 3 Meta-analysis of full-sib IBD regression results for height, body mass index (BMI) and educational attainment (EA).

From: Phenotypic covariance across the entire spectrum of relatedness for 86 billion pairs of individuals

Trait

Study

N.pair

\(\hat r_{FS}^{\mathrm{a}}\)

s.e.

\(\hat c_{FS}^2\)

s.e.

\(\hat h_{FS}^2\)

s.e.

Height

This paper

19,954

0.53

0.01

0.23

0.06

0.60

0.12

 

Young et al.12

64,847

0.41

0.01

0.07

0.05

0.68

0.10

 

Hemani et al.22

20,240

0.43

0.01

0.08

0.07

0.69

0.14

 

Meta-analysis

105,041

0.44

<0.01

0.12

0.03

0.66

0.07

BMI

This paper

19,885

0.27

0.01

−0.13

0.08

0.81

0.17

 

Young et al.12

56,461

0.27

0.01

0.08

0.06

0.39

0.12

 

Hemani et al.22

20,240

0.31

0.01

0.10

0.08

0.42

0.17

 

Meta-analysis

96,586

0.28

<0.01

0.03

0.04

0.50

0.08

EA

This paper

19,736

0.29

0.01

0.22

0.08

0.14

0.16

 

Young et al.12

32,542

0.36

0.01

0.16

0.07

0.40

0.15

 

Meta-analysis

52,278

0.34

<0.01

0.19

0.06

0.28

0.11

  1. Shown is the number of sib-pairs (N.pair) in each study, inferred full-sib correlation \((\hat r_{FS})\), common environmental effect (\(\hat c_{FS}^2\)) and heritability (\(\hat h_{FS}^2\)) with standard errors (s.e.).
  2. ain each study, we calculated the full-sib correlation from the given estimates of common environmental and genetic effects from full-sib regression as \(\hat c_{FS}^2 + \frac{1}{2}\hat h_{FS}^2\). Standard errors were estimated using the approximation \(\sqrt {(1 - \hat r_{FS}^2)/N}\), where N is the number of pairs.