2010
DOI: 10.1371/journal.pbio.1000451
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A Simple Genetic Architecture Underlies Morphological Variation in Dogs

Abstract: The largest genetic study to date of morphology in domestic dogs identifies genes controlling nearly 100 morphological traits and identifies important trends in phenotypic variation within this species.

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Cited by 423 publications
(576 citation statements)
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“…Further, they assume positive selection that may increase the frequencies of many variants (i.e., polygenic selection) does not account for these patterns (6). However, polygenic selection does not appear to be the dominant force underlying phenotypic change in dogs, because association studies suggest that a small number of largeeffect alleles that have been subjected to artificial selection can account for much of the variance in traits (30,35,36). Finally, after filtering previously identified selective sweep regions, both the number of derived deleterious alleles and GERP score load remains significantly higher in dogs than wolves (P < 0.008), arguing that the genome-wide patterns are not driven by the artificially selected regions (SI Appendix, Fig.…”
Section: Significancementioning
confidence: 99%
“…Further, they assume positive selection that may increase the frequencies of many variants (i.e., polygenic selection) does not account for these patterns (6). However, polygenic selection does not appear to be the dominant force underlying phenotypic change in dogs, because association studies suggest that a small number of largeeffect alleles that have been subjected to artificial selection can account for much of the variance in traits (30,35,36). Finally, after filtering previously identified selective sweep regions, both the number of derived deleterious alleles and GERP score load remains significantly higher in dogs than wolves (P < 0.008), arguing that the genome-wide patterns are not driven by the artificially selected regions (SI Appendix, Fig.…”
Section: Significancementioning
confidence: 99%
“…This study utilized data derived from the CanMap project (Boyko et al, 2010;vonHoldt et al, 2010) that provided genome-wide SNP data from 912 domestic dogs and 337 wild canids, based on genotyping with an Affymetrix Canine SNP Genome Mapping Array (coordinates based on the CanFam2 assembly). Samples were genotyped at 60 584 high-quality autosomal SNPs (referred to as 61K) and 851 X chromosome SNP loci (Boyko et al, 2010;vonHoldt et al, 2010).…”
Section: Data Setmentioning
confidence: 99%
“…Samples were genotyped at 60 584 high-quality autosomal SNPs (referred to as 61K) and 851 X chromosome SNP loci (Boyko et al, 2010;vonHoldt et al, 2010). Here, we used a subset of the CanMap SNP data set that consisted of 103 grey wolves: 54 from Eastern Europe, 19 from Italy, 6 from the Iberian Peninsula, 7 from Asia and 17 from North America, plus 5 coyotes that served as an outgroup (see Supplementary Table 1).…”
Section: Data Setmentioning
confidence: 99%
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“…The LUPA database, already containing genotypes from 10,000 dogs, can be used to perform GWAS across breeds, with the aim to identify variants underlying traits shared by several breeds, as has already been documented in other studies (Jones et al, 2008;Cadieu et al, 2009;Akey et al, 2010;Bannasch et al, 2010;Boyko et al, 2010). An alternative approach searches for selective sweeps: regions with reduced heterozygosity associated with a specific trait within a single or within a group of breeds that share the same trait (A. Vaysse personal communication).…”
Section: Detecting Signatures Of Selectionmentioning
confidence: 99%