Abstract
AbstractEquine grass sickness (also known as dysautonomia) is a life-threatening polyneuropathic disease affecting horses with approx. 80% mortality. Since it’s first description over a hundred years ago, several factors including phenotypic, environmental, management, climate, and intestinal microbiome) have been associated with increased risk of dysautonomia. But despite the extensive research on dysautonomia, it’s causative factors have yet been identified. A retrospective pedigree and phenotype based genetic epidemiological study was performed to analyze the associations of disease occurrence and the kinship in a Hungarian large scale stud. The pedigree data set containing 1233 horses with 49 affected animals was used in the analysis. The first finding was that among the descendants of some stallions the proportion of affected animals are unexpectedly high, with a maximum of 25% of a stallions descendants affected. Animals with affected siblings have higher odds to be a case (OR: 1.27, 95% CI: 1.01-1.57, p=0.033). Among males in the affected population the odds of dysautonomia is higher than in females (OR: 1.76, 95% CI: 0.95-3.29, p=0.057). Significant familial clustering was observed among the affected animals (GIF p=0.001). Further subgroups were identified with significant (p<0.001) aggregation among close relatives using kinship-based methods. Our analysis of the data and the observed higher disease frequency in males suggests that dysautonomia may have X-linked recessive inheritance as a causal factor. This is the first study providing ancestry data and suggesting a genetic contribution to the likely multifactorial causes of the disease.
Publisher
Cold Spring Harbor Laboratory
Reference32 articles.
1. Agresti, A. (2007). Categorical data analysis. 2nd ed. New York, John Wiley & Sons.
2. Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions
3. The neurology and enterology of equine grass sickness: a review of basic mechanisms;Neurogastr. Motil.,1999
4. Dinya, E. , Solymosi, N. , 2016: Biometria a klinikumban 2. Feladatok megoldása R-környezetben. Budapest, Medicina Könyvkiadó Zrt. (in Hungarian)
5. A comparative study of normal equine populations and those with grass sickness (dysautonomia) in eastern Scotland;Eq. Vet. J,1991