NDLI: A genome-wide scan for tying-up syndrome in Japanese Thoroughbreds.

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A genome-wide scan for tying-up syndrome in Japanese Thoroughbreds.

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A genome-wide scan for tying-up syndrome in Japanese Thoroughbreds.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Tozaki, T. Hirota, K. Sugita, S. Ishida, N. Miyake, T. Oki, H. Hasegawa, T.
Description	Country affiliation: Japan Author Affiliation: Tozaki T ( Department of Molecular Genetics, Laboratory of Racing Chemistry, Utsunomiya, Tochigi, Japan. ttozaki@lrc.or.jp)
Abstract	Tying-up syndrome, also known as recurrent exertional rhabdomyolysis in Thoroughbreds, is a common muscle disorder for racehorses. In this study, we performed a multipoint linkage analysis using LOKI based on the Bayesian Markov chain Monte Carlo method using 5 half-sib families (51 affected and 277 nonaffected horses in total), and a genome-wide association study (GWAS) using microsatellites (144 affected and 144 nonaffected horses) to map candidate regions for tying-up syndrome in Japanese Thoroughbreds. The linkage analysis identified one strong L-score (82.45) between the loci UCDEQ411 and COR058 (24.9-27.9 Mb) on ECA12. The GWAS identified two suggestive genomic regions on ECA12 (24.9-27.8 Mb) and ECA20 (29.3-33.5 Mb). Based on both results, the genomic region between UCDEQ411 and TKY499 (24.9-27.8 Mb) on ECA12 was the most significant and was considered as a candidate region for tying-up syndrome in Japanese Thoroughbreds.
File Format	HTM / HTML
ISSN	02689146
Issue Number	Suppl 2
Volume Number	41
e-ISSN	13652052
Journal	Animal Genetics
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2010-12-01
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Genetics Discipline Zoology Chromosomes, Mammalian Genome-wide Association Study Horse Diseases Genetics Rhabdomyolysis Veterinary Animals Horses Markov Chains Microsatellite Repeats Monte Carlo Method Pedigree Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Genetics Medicine Animal Science and Zoology

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