Genome-wide association study for insect bite hypersensitivity susceptibility in horses revealed novel associated loci on chromosome 1.

M. Shrestha,M. Solé,B. Ducro,M. Sundquist,R. Thomas,A. Schurink,S. Eriksson,G. Lindgren

Published 2020 in Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie

ABSTRACT

Equine insect bite hypersensitivity (IBH) is a pruritic skin allergy caused primarily by biting midges, Culicoides spp. IBH susceptibility has polygenic inheritance and occurs at high frequencies in several horse breeds worldwide, causing increased costs and reduced welfare of affected horses. The aim of this study was to identify and validate single nucleotide polymorphisms (SNPs) associated with equine IBH susceptibility. After quality control, 33,523 SNPs were included in a Bayesian genome-wide association study on 177 affected and 178 unaffected Icelandic horses. We report associated regions in E. caballus (ECA) 1, 3, 15 and 18, overlapping with known IBH QTLs in horses, and novel regions containing several genes, together explaining 11.46% of the total genetic variance. For validation, three SNPs on ECA 1 and ECA X (explaining the largest percentage of genetic variance) within 1-mb genomic windows for IBH were genotyped in an independent population of 280 Exmoor ponies. The associated genomic region (152-153 mb) on ECA 1 was confirmed in Exmoor ponies and contains the AQR gene involved in splicing processes and a long non-coding RNA. This study confirms the polygenic nature of IBH susceptibility and suggests a role of transcriptional regulatory mechanisms (e.g., alternative splicing) for IBH predisposition in these horse breeds.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie

  • Publication date

    2020-03-01

  • Fields of study

    Biology, Medicine, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar, PubMed

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