ArticleGenetics2017
A Mixed Model Approach to Genome-Wide Association Studies for Selection Signatures, with Application to Mice Bred for Voluntary Exercise Behavior.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Large changes in detected selection signatures after a selection limit in mice bred for voluntary wheel-running behavior.PloS one · 2024Article
- Multiple solutions at the genomic level in response to selective breeding for high locomotor activity.Genetics · 2023Article
- DNA Methylation Analysis of Imprinted Genes in the Cortex and Hippocampus of Cross-Fostered Mice Selectively Bred for Increased Voluntary Wheel-Running.Behavior genetics · 2022Article
- Genetic Basis of Aerobically Supported Voluntary Exercise: Results from a Selection Experiment with House Mice.Genetics · 2020Article
- Article
- Statistical power in genome-wide association studies and quantitative trait locus mapping.Heredity · 2019Article
- Biological/Genetic Regulation of Physical Activity Level: Consensus from GenBioPAC.Medicine and science in sports and exercise · 2018Review
- Inter-individual variation in adaptations to endurance and resistance exercise training: genetic approaches towards understanding a complex phenotype.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Review
- Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior.PloS one · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Selection experiments and experimental evolution provide unique opportunities to study the genetics of adaptation because the target and intensity of selection are known relatively precisely. In contrast to natural selection, where populations are never strictly "replicated," experimental evolution routinely includes replicate lines so that selection signatures-genomic regions showing excessive differentiation between treatments-can be separated from possible founder effects, genetic drift, and multiple adaptive solutions. We developed a mouse model with four lines within a high running (HR) selection treatment and four nonselected controls (C). At generation 61, we sampled 10 mice of each line and used the Mega Mouse Universal Genotyping Array to obtain single nucleotide polymorphism (SNP) data for 25,318 SNPs for each individual. Using an advanced mixed model procedure developed in this study, we identified 152 markers that were significantly different in frequency between the two selection treatments. They occurred on all chromosomes except 1, 2, 8, 13, and 19, and showed a variety of patterns in terms of fixation (or the lack thereof) in the four HR and four C lines. Importantly, none were fixed for alternative alleles between the two selection treatments. The current state-of-the-art regularized
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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.