ArticleEcology and evolution2022
The impact of SNP density on quantitative genetic analyses of body size traits in a wild population of Soay sheep.
Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Genetic Parameters and Genome-Wide Association Studies for Fertility and Reproduction Traits in U.S. Katahdin Sheep Based on the Single-Step GBLUP Methodology.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Genomic dissection of hoof and leg conformation in Swiss dairy cattle populations reveals polygenic architecture and a recessive HYAL1 nonsense variant affecting longevity in Holstein cattle.Genetics, selection, evolution : GSE · 2026Article
- A genome-wide association study reveals additive and recessive alleles affecting male fertility in pigs.Journal of animal science and biotechnology · 2025Article
- Article
- Evaluating regional heritability mapping methods for identifying QTLs in a wild population of Soay sheep.Heredity · 2025Article
- Investigating pedigree- and SNP-associated components of heritability in a wild population of Soay sheep.Heredity · 2024Article
- The prediction accuracies of linear-type traits in Czech Holstein cattle when using ssGBLUP or wssGBLUP.Journal of animal science · 2022Article
- The impact of SNP density on quantitative genetic analyses of body size traits in a wild population of Soay sheep.Ecology and evolution · 2022Article
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4 authors.
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Abstract
Understanding the genetic architecture underpinning quantitative traits in wild populations is pivotal to understanding the processes behind trait evolution. The 'animal model' is a popular method for estimating quantitative genetic parameters such as heritability and genetic correlation and involves fitting an estimate of relatedness between individuals in the study population. Genotypes at genome-wide markers can be used to estimate relatedness; however, relatedness estimates vary with marker density, potentially affecting results. Increasing density of markers is also expected to increase the power to detect quantitative trait loci (QTL). In order to understand how the density of genetic markers affects the results of quantitative genetic analyses, we estimated heritability and performed genome-wide association studies (GWAS) on five body size traits in an unmanaged population of Soay sheep using two different SNP densities: a dataset of 37,037 genotyped SNPs and an imputed dataset of 417,373 SNPs. Heritability estimates did not differ between the two SNP densities, but the high-density imputed SNP dataset revealed four new SNP-trait associations that were not found with the lower density dataset, as well as confirming all previously-found QTL. We also demonstrated that fitting fixed and random effects in the same step as performing GWAS is a more powerful approach than pre-correcting for covariates in a separate model.
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