Article

Genetic and environmental factors in febrile seizures: a Danish population-based twin study.

Department of Neurology, Odense University Hospital, Odense, Denmark.
Epilepsy Research (impact factor: 2.29). 10/2002; 51(1-2):167-77. pp.167-77
Source: PubMed

ABSTRACT The relative importance of genetic and environmental factors in the etiology of febrile seizures was estimated using a large, unselected population-based twin sample. A total of 34,076 twins (aged 12-41 years), recruited from the Danish Twin Registry, were screened for febrile seizures by questionnaire. Information was obtained from 11,872 complete pairs. Concordance rates, odds ratios and correlations were used to assess the degree of similarity in monozygotic (MZ) and dizygotic (DZ) twins. Model fitting and estimation of heritability (proportion of the population variance attributable to genetic variation) were performed using standard biometrical methods. Significantly higher probandwise concordance rates were found for MZ compared with DZ twins (0.36 and 0.12, P < 0.01). Odds ratios and correlations showed a similar pattern. An etiological model including additive genetic effects and individual-specific environmental factors provided the best fit to the data with a heritability for febrile seizures of 70% (95% CI: 61-77%). The remaining 30% of the variation could be attributed to individual-specific environmental factors. In conclusion, this study has confirmed a major impact of genetic factors in the etiology of febrile seizures. Future studies aimed at identifying the specific genetic factors and environmental exposures involved in determining febrile seizure risk are clearly warranted.

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Keywords

additive genetic effects
 
Concordance rates
 
Danish Twin Registry
 
DZ twins
 
environmental exposures
 
environmental factors
 
etiological model
 
febrile seizure risk
 
febrile seizures
 
Future studies
 
genetic factors
 
genetic variation
 
higher probandwise concordance rates
 
individual-specific environmental factors
 
Model fitting
 
population variance attributable
 
relative importance
 
similar pattern
 
specific genetic factors
 
unselected population-based twin sample