| Literature DB >> 26559855 |
Adam Domonkos Tarnoki1, David Laszlo Tarnoki1, Levente Littvay2, Zsolt Garami3, Kinga Karlinger1, Viktor Berczi1.
Abstract
BACKGROUND: Configuration of the abdominal aorta is related to healthy aging and a variety of disorders.Entities:
Mesh:
Year: 2015 PMID: 26559855 PMCID: PMC4728590 DOI: 10.5935/abc.20150140
Source DB: PubMed Journal: Arq Bras Cardiol ISSN: 0066-782X Impact factor: 2.000
Parameter estimates for additive hereditary (A), common environmental (C) and unique environmental (E) influences on aortic diameter by structural equation modeling
| Dependent variable | AIC | BIC | -2LL | Χ2 difference | df difference | p value | rMZ | rDZ | A | 95% CI | C | 95% CI | E | 95% CI | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.413 (0.201, 0.630) | 0.151 (-0.199, 0.436) | ||||||||||||||
|
| A-C-E | -57.544 | -41.127 | -69.54 | 0.40 | 0.14 - 0.67 | 0.00 | 0.00 - 0.38 | 0.60 | 0.36 - 0.80 | |||||
| A-E | -59.544 | -45.863 | -69.54 | 0 | 1 | 1 | 0.40 | 0.20 - 0.62 | 0.00 | 0.00 - 0.00 | 0.60 | 0.38 - 0.80 | |||
| C-E | -57.339 | -43.658 | -67.34 | 5.628 | 1 | 0.018 | 0.00 | 0.00 - 0.00 | 0.30 | 0.14 - 0.48 | 0.70 | 0.52 - 0.86 | |||
| 0.566 (0.366, 0.709) | 0.209 (-0.069, 0.570) | ||||||||||||||
|
| A-C-E | -79.736 | -63.371 | -91.736 | 0.55 | 0.29 - 0.72 | 0.02 | 0.00 - 0.56 | 0.45 | 0.29 - 0.64 | |||||
| A-E | -81.736 | -68.099 | -91.736 | 0 | 1 | 1 | 0.55 | 0.35 - 0.70 | 0.00 | 0.00 - 0.00 | 0.45 | 0.30 - 0.65 | |||
| C-E | -76.108 | -62.472 | -86.108 | 2.204 | 1 | 0.138 | 0.00 | 0.00 - 0.00 | 0.39 | 0.20 - 0.59 | 0.61 | 0.41 - 0.80 | |||
69 monozygotic, 45 dizygotic twin pairs;
68 monozygotic, 45 dizygotic twin pairs.
AIC: Akaike information criteria; BIC: Bayesian information criteria; LL: Log likelihood; Χ2: Chi-square test, based on model log likelihood comparative model fit test; rMZ: Saturated correlation between monozygotic twins; rDZ: Saturated correlation between dizygotic twin.
best fitting model
Co-twin correlations of MZ (rMZ) and DZ (rDZ) twins offer basic insight on the heritability levels. Higher MZ correlations (vs DZ correlations) indicate a genetic effect, while similar rMZ and rDZ indicate shared environmental influence. 95% confidence intervals (CIs) are presented in brackets for all estimates. Univariate analyses are presented in which all components (A - additive genetic effects, C - common environmental effects, E - unique environmental effects) are estimated. Multiplying the numbers by 100 gives the variance in percentage. CIs not including 0 indicate significant estimates. Additionally reduced models are also shown (A-E or C-E), where the absent component is fixed at 0. Then we assess if these reduced models fit significantly worse (see p-value) than the full ACE model using a nested chi-square test. AIC and BIC offer additional evidence on which model is the most acceptable.