An exome sequencing based approach for genome-wide association studies in the dog - Université de Rennes
Article Dans Une Revue Scientific Reports Année : 2017

An exome sequencing based approach for genome-wide association studies in the dog

Résumé

Genome-wide association studies (GWAS) are widely used to identify loci associated with phenotypic traits in the domestic dog that has emerged as a model for Mendelian and complex traits. However, a disadvantage of GWAS is that it always requires subsequent fine-mapping or sequencing to pinpoint causal mutations. Here, we performed whole exome sequencing (WES) and canine high-density (cHD) SNP genotyping of 28 dogs from 3 breeds to compare the SNP and linkage disequilibrium characteristics together with the power and mapping precision of exome-guided GWAS (EG-GWAS) versus cHD-based GWAS. Using simulated phenotypes, we showed that EG-GWAS has a higher power than cHD to detect associations within target regions and less power outside target regions, with power being influenced further by sample size and SNP density. We analyzed two real phenotypes (hair length and furnishing), that are fixed in certain breeds to characterize mapping precision of the known causal mutations. EG-GWAS identified the associated exonic and 3'UTR variants within the FGF5 and RSPO2 genes, respectively, with only a few samples per breed. In conclusion, we demonstrated that EG-GWAS can identify loci associated with Mendelian phenotypes both within and across breeds.
Fichier principal
Vignette du fichier
s41598-017-15947-9.pdf (1.65 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01659287 , version 1 (04-10-2018)

Identifiants

Citer

Bart J. G. Broeckx, Thomas Derrien, Stephanie Mottier, Valentin Wucher, Edouard Cadieu, et al.. An exome sequencing based approach for genome-wide association studies in the dog. Scientific Reports, 2017, 7 (1), pp.15680. ⟨10.1038/s41598-017-15947-9⟩. ⟨hal-01659287⟩
106 Consultations
118 Téléchargements

Altmetric

Partager

More