2018
DOI: 10.1534/genetics.118.300857
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A Simple Test Identifies Selection on Complex Traits

Abstract: Important traits in agricultural, natural, and human populations are increasingly being shown to be under the control of many genes that individually contribute only a small proportion of genetic variation. However, the majority of modern tools in quantitative and population genetics, including genome-wide association studies and selection-mapping protocols, are designed to identify individual genes with large effects. We have developed an approach to identify traits that have been under selection and are cont… Show more

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Cited by 22 publications
(69 citation statements)
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References 55 publications
(63 reference statements)
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“…We used LASSO SNPs as well as genome-wide quantile thresholds to conduct this analysis. We calculated a polygenic score [79, 80] by multiplying the clinal or seasonal effect size (including sign) by the GWAS effect size and sign and summing this product across all SNPs, all LASSO SNPs, the top 0.01% of the GWAS, or the top 0.1% of the GWAS (see S6 Table and Materials and Methods for details). In this test, we predict that concordant signal in the GWAS and the clinal/seasonal datasets should result in positive numbers that exceed permutations.…”
Section: Resultsmentioning
confidence: 99%
“…We used LASSO SNPs as well as genome-wide quantile thresholds to conduct this analysis. We calculated a polygenic score [79, 80] by multiplying the clinal or seasonal effect size (including sign) by the GWAS effect size and sign and summing this product across all SNPs, all LASSO SNPs, the top 0.01% of the GWAS, or the top 0.1% of the GWAS (see S6 Table and Materials and Methods for details). In this test, we predict that concordant signal in the GWAS and the clinal/seasonal datasets should result in positive numbers that exceed permutations.…”
Section: Resultsmentioning
confidence: 99%
“…In addition, this extension could allow the detection of adaptive changes in trait correlations. Second, these methods could be extended to take advantage of more sophisticated methods of genomic prediction than the additive model presented here (as in Beissinger et al 2018;Liu et al 2018). Pursuing this goal will require carefully addressing issues related to LD between marker loci.…”
Section: Discussionmentioning
confidence: 99%
“…The phenotypes of each individual were not included in most of the signatures of selection detection analysis, hence the functional explanation of significant signals was usually less conclusive. Although a new methodology for the detection of signature of selection for specific complex traits was recently proposed by Beissinger et al [46], the phenotypic values were not always available in such research. The reported QTLs could serve as a reference or potential clue to understand the identified signatures of selection.…”
Section: Discussionmentioning
confidence: 99%