Genome-wide association studies based on sequence-derived genotypes reveal new QTL associated with conformation and performance traits in the Franches-Montagnes horse breed

Frischknecht, M.; Signer-Hasler, Heidi; Leeb, T.; Rieder, S.; Neuditschko, M. (2016). Genome-wide association studies based on sequence-derived genotypes reveal new QTL associated with conformation and performance traits in the Franches-Montagnes horse breed Animal Genetics, 47(2), pp. 227-229. Wiley 10.1111/age.12406

Text Frischknecht_et_al-2016-Animal_Genetics.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (332kB) | Request a copy

To identify novel quantitative trait loci (QTL) within horses, we performed genome‐wide association studies (GWAS) based on sequence‐level genotypes for conformation and performance traits in the Franches–Montagnes (FM) horse breed. Sequence‐level genotypes of FM horses were derived by re‐sequencing 30 key founders and imputing 50K data of genotyped horses. In total, we included 1077 FM horses genotyped for ~4 million SNPs and their respective de‐regressed breeding values of the traits in the analysis. Based on this dataset, we identified a total of 14 QTL associated with 18 conformation traits and one performance trait. Therefore, our results suggest that the application of sequence‐derived genotypes increases the power to identify novel QTL which were not identified previously based on 50K SNP chip data.

Item Type:	Journal Article (Original Article)
Division/Institute:	School of Agricultural, Forest and Food Sciences HAFL > Resource-efficient agricultural production systems School of Agricultural, Forest and Food Sciences HAFL > Agriculture
Name:	Frischknecht, M.; Signer-Hasler, Heidi0000-0001-5193-5306; Leeb, T.; Rieder, S. and Neuditschko, M.
Subjects:	S Agriculture > SF Animal culture
ISSN:	02689146
Publisher:	Wiley
Language:	English
Submitter:	David Zimmer
Date Deposited:	17 Sep 2019 11:12
Last Modified:	18 Dec 2020 13:29
Publisher DOI:	10.1111/age.12406
Uncontrolled Keywords:	GWAS, imputation, NGS
ARBOR DOI:	10.24451/arbor.8202
URI:	https://arbor.bfh.ch/id/eprint/8202