Identifying adaptive genetic divergence among populations from genome scans
University of Reading · Imperial College London
Abstract
The identification of signatures of natural selection in genomic surveys has become an area of intense research, stimulated by the increasing ease with which genetic markers can be typed. Loci identified as subject to selection may be functionally important, and hence (weak) candidates for involvement in disease causation. They can also be useful in determining the adaptive differentiation of populations, and exploring hypotheses about speciation. Adaptive differentiation has traditionally been identified from differences in allele frequencies among different populations, summarised by an estimate of FST. Low outliers relative to an appropriate neutral population-genetics model indicate loci subject to…
Citation impact
- FWCI
- 17.95
- Percentile
- 100%
- References
- 35
Authors
2Topics & keywords
- Biology
- Selection (genetic algorithm)
- Natural selection
- Population
- Outlier
- Markov chain Monte Carlo
- Evolutionary biology
- Directional selection