ArticleMolecular ecology2022
Genomic prediction in the wild: A case study in Soay sheep.
Article in Molecular ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Individualised niches: an integrative conceptual framework across behaviour, ecology, and evolution.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Increased adaptive potential in novel environments can be predicted from genetic variance in development time expressed in native environments.Evolution letters · 2026Article
- A Flexible Method for Genomics-Based Quantitative Genetics in Wild Study Systems-A Case Study on a House Sparrow Meta-Population.Evolutionary applications · 2026Article
- No Pedigree, No Problem: Genomic Inbreeding Tracks Genetic Rescue With High Resolution.Evolutionary applications · 2026Article
- Evaluating regional heritability mapping methods for identifying QTLs in a wild population of Soay sheep.Heredity · 2025Article
- Caprine and Ovine Genomic Selection-Progress and Application.Animals : an open access journal from MDPI · 2024Review
- Microevolutionary change in wild stickleback: Using integrative time-series data to infer responses to selection.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Investigating pedigree- and SNP-associated components of heritability in a wild population of Soay sheep.Heredity · 2024Article
- A polygenic basis for birth weight in a wild population of red deer (Cervus elaphus).G3 (Bethesda, Md.) · 2023Article
- Taking quantitative genomics into the wild.Proceedings. Biological sciences · 2022Article
- The challenge of demonstrating contemporary natural selection on polygenic quantitative traits in the wild.Molecular ecology · 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
- Using genomic prediction to detect microevolutionary change of a quantitative trait.Proceedings. Biological sciences · 2022Article
- Genomic prediction of growth in a commercially, recreationally, and culturally important marine resource, the Australian snapper (Chrysophrys auratus).G3 (Bethesda, Md.) · 2022Article
- The utility of genomic prediction models in evolutionary genetics.Proceedings. Biological sciences · 2021Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Genomic prediction, the technique whereby an individual's genetic component of their phenotype is estimated from its genome, has revolutionised animal and plant breeding and medical genetics. However, despite being first introduced nearly two decades ago, it has hardly been adopted by the evolutionary genetics community studying wild organisms. Here, genomic prediction is performed on eight traits in a wild population of Soay sheep. The population has been the focus of a >30 year evolutionary ecology study and there is already considerable understanding of the genetic architecture of the focal Mendelian and quantitative traits. We show that the accuracy of genomic prediction is high for all traits, but especially those with loci of large effect segregating. Five different methods are compared, and the two methods that can accommodate zero-effect and large-effect loci in the same model tend to perform best. If the accuracy of genomic prediction is similar in other wild populations, then there is a real opportunity for pedigree-free molecular quantitative genetics research to be enabled in many more wild populations; currently the literature is dominated by studies that have required decades of field data collection to generate sufficiently deep pedigrees. Finally, some of the potential applications of genomic prediction in wild populations are discussed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.