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A microsatellite-based multilocus screen for the identification of local selective sweeps
1Institut für Tierzucht und Genetik, Veterinärmedizinische Universität Wien, 1210 Wien, Austria. christian.schloetterer@vu-wien.ac.at
Genetics
|February 28, 2002
Summary
A new statistical method, ln RV, helps identify genomic regions under selection by analyzing microsatellite variability. This approach aids in understanding population genetics and evolutionary adaptation in humans.
Area of Science:
- Population Genetics
- Genomics
- Evolutionary Biology
Background:
- Completely sequenced genomes enable multilocus scans to detect natural and artificial selection.
- Identifying genomic regions under selection is crucial for understanding evolutionary processes.
Purpose of the Study:
- To introduce a novel multilocus test statistic, ln RV, for detecting selection.
- To assess the utility of ln RV in capturing demographic history and mutation variation.
Main Methods:
- Developed the ln RV test statistic based on the ratio of observed variances in microsatellite repeat numbers.
- Applied the ln RV statistic to a dataset of 94 microsatellite loci from human populations (eight non-African, two African).
Main Results:
- The ln RV distribution reflects demographic history and microsatellite mutation rates.
- Microsatellite loci under recent selective sweeps are expected to fall outside the neutral ln RV distribution.
Conclusions:
- The ln RV test statistic is a valuable tool for identifying genomic regions under selection.
- This method can help uncover signatures of selection in human populations.