ArticleMolecular biology and evolution2023
A Quantitative Theory for Genomic Offset Statistics.
Article in Molecular biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Insight Into the Genetic Architecture of Local (Mal)Adaptation in Wild and Feral Brassica rapa Populations.Molecular ecology · 2026Article
- Advancing Marine Mammal Conservation Through Omics Tools and Integration of Indigenous Ecological Knowledge.Molecular ecology · 2026Review
- Assessing Future Maladaptation Risk in the Keystone SpeciesEvolutionary applications · 2026Article
- Climate-Driven Niche Tracking and Genomic Resilience Shape Future Distribution of a Widespread Agricultural Weed.Molecular ecology · 2026Article
- Differential Demographic Trajectories and Polygenic Adaptation to Monsoon Seasonality in Sky Island Hercules Beetle Populations of the American Southwest.Molecular ecology · 2026Article
- Genomic forecasting for climate-resilient fruit trees.The New phytologist · 2026Review
- Genomic Offsets Predict Survival With Low Accuracy in a Marine Common Garden.Molecular ecology · 2026Article
- How Robust Are Genomic Offset Predictions to Methodological Choices? Insights From Perennial Ryegrass.Molecular ecology · 2026Article
- Genetically diverse populations hold the keys to climatic adaptation in the Western barn owl (Tyto alba).Communications biology · 2026Article
- Landscape Genomic Tools Can Inform Future Rootstock and Farmland Selection for an Agricultural Tree Nut From Its Wild Relatives.Molecular ecology · 2026Article
- Applying Both Landscape Genomic and Ecological Niche Model Predictions to Inform Conservation Strategies of a California Foundational Oak Species.Molecular ecology · 2026Article
- A Mosaic of Future Maladaptation Predicted for the Widespread TreeEvolutionary applications · 2026Article
- Adaptive Potential and Genomic Vulnerability of Keystone Forest Tree Species to Climate Change: A Case Study in Scots Pine.Evolutionary applications · 2025Article
- Local adaptation to climate has facilitated the global invasion of cheatgrass.Nature communications · 2025Article
- Population Genomics Informs Resilience and Vulnerability of Habitat-Building Coralline Algae.Evolutionary applications · 2025Article
- Applying Genomic Offsets to Breeding Programmes: Bridging Evolutionary Insights With Practical Applications.Evolutionary applications · 2025Article
- Genomic Vulnerability of a Sentinel Mammal Under Climate Change.Molecular ecology · 2025Article
- Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Mutational load and adaptive variation are shaped by climate and species range dynamics in Vitis arizonica.The New phytologist · 2025Article
- Local adaptation to climate facilitates a global invasion.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic offset statistics predict the maladaptation of populations to rapid habitat alteration based on association of genotypes with environmental variation. Despite substantial evidence for empirical validity, genomic offset statistics have well-identified limitations, and lack a theory that would facilitate interpretations of predicted values. Here, we clarified the theoretical relationships between genomic offset statistics and unobserved fitness traits controlled by environmentally selected loci and proposed a geometric measure to predict fitness after rapid change in local environment. The predictions of our theory were verified in computer simulations and in empirical data on African pearl millet (Cenchrus americanus) obtained from a common garden experiment. Our results proposed a unified perspective on genomic offset statistics and provided a theoretical foundation necessary when considering their potential application in conservation management in the face of environmental change.
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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.