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Table 3 Heritability and biometric modelling in males with knee OA

From: Sex differences in risk and heritability estimates on primary knee osteoarthritis leading to total knee arthroplasty: a nationwide population based follow up study in Danish twins

Model in males

MZ prevalence

DZ prevalence

MZ rho

DZ rho

MZ cwc

DZ cwc

H

Variance component estimates

Chi-square test statistics

 

A

D

C

E

LL

–2ln

df

p value

AIC

Sat

0.02 (0.01–0.02)

0.02 (0.01–0.02)

0.66 (0.03–0.92)

0.71 (0.39–0.87)

0.26 (0.05–0.70)

0.30 (0.13–0.55)

0 (0.00–0.89)

–3387.1

0.021

1

Compare CE, p = 0.65

6780.14

ACE

0.02 (0.01–0.02)

0.02 (0.01–0.02)

0.7 (0.42–0.85)

0.7 (0.42–0.85)

0.29 (0.14–0.51)

0.29 (0.14–0.51)

0

0

0.69 (0.48–0.90)

0.31 (0.1–0.52)

–3387.2

25.8

1

Compared AE, p <0.0001

6780.35

ADE

0.02 (0.01–0.02)

0.02 (0.01–0.02)

0.79 (0.45–0.93)

0.39 (0.28–0.50)

0.39 (0.18–0.66)

0.10 (0.07–0.16)

0.79 (0.57–1.0)

0.79 (0.57–1.0)

0

0.21 (0.0–0.43)

–3400.1

0

1

Compare DE, p = 1.0

6806.14

AE

0.02 (0.01–0.02)

0.02 (0.01–0.02)

0.79 (0.45–0.93)

0.39 (0.28–0.50)

0.39 (0.18–0.66)

0.10 (0.07–0.16)

0.79 (0.57–1.0)

0.79 (0.57–1.0)

0.21 (0.0–0.43)

–3400.1

25.8

1

Compare Sat, p <0.0001

6804.14

CE

0.02 (0.01–0.02)

0.02 (0.01–0.02)

0.69 (0.42–0.85)

0.69 (0.42–0.85)

0.29 (0.14–0.51)

0.29 (0.14–0.51)

_

0.69 (0.48–0.90)

0.31 (0.1–0.52)

–3387.2

0

1

Compare ACE, p= 1.0

6778.35

DE

0.02 (0.01–0.02)

0.02 (0.01–0.02)

0.76 (0.38–0.92)

0.19 (0.13–0.25)

0.36 (0.14–0.66)

0.04 (0.03–0.06)

0.76 (0.51–1.0)

0.76 (0.51–1.0)

0.24 (0.00–0.49)

–3414.6

29.1

1

Compare ADE, P <0.0001

6833.24

  1. A additive genetic, AIC Akaike’s Information Criterion, C common environment, cwc case-wise concordance rate, D dominant genetic, df degrees of freedom, DZ dizygotic, E unique environment, H broad sense heritability, LL = log likelihood of model, –2ln = Likelihood Ratio chi-square test, MZ monozygotic, rho tetrachoric correlation coefficient, Sat saturated model, OA osteoarthritis
  2. The CE model in bold displayes the best model fit by the AIC. Fixing the additive genetic component at zero produced no worse fit (p=1.0)