IMB seminar Series - Professor Peter Visscher - Using GWAS data to estimate selection and adaptation on complex traits
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- 'Using GWAS data to estimate selection and adaptation on complex traits'
Genome-wide association studies (GWAS) have been spectacularly successful in finding robust replicable associations between DNA variants and ‘complex traits’ such as quantitative traits and common disease. Data on trait-SNP associations can be leveraged to address questions of human adaptation and selection on trait-associated loci. We have used datasets from GWAS to address questions of directional selection on loci associated with complex traits in Europe, on a global scale and in isolated populations. Our results suggest that natural selection has acted pervasively on loci associated with human complex traits, and that adaptation to extreme environments is driven by polygenic adaptation on standing variation in the ancestral population.
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