Guillaume Ramstein - Prediction of evolutionary constraint by genomic annotations
Traditional quantitative genetics analyses have successfully identified genomic regions responsible for genetic variability in traits of interest. However, they have generally lacked the resolution to detect the exact causal variants causing genetic differences among individuals under study in plants. In this study, we take an approach based on computational annotations to predict evolutionary constraint at single DNA sites from genomic annotations. Our results suggest that our proposed approach may effectively prioritize the polymorphisms most likely to impact important traits in maize. Such prioritizations could be useful to select markers for accurate genomic prediction, but they could also enable the selection of candidate causal variants for subsequent improvement by base editing.
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