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Effect of misoriented sites on neutrality tests with outgroup
Emmanuelle Baudry1, Frantz Depaulis
1Laboratoire d'Ecologie, Centre National de la Recherche Scientifique UMR 7625-EPHE, Université Pierre et Marie Curie, 75252 Paris 05, France.
Homoplasy can lead to incorrect ancestral state inference in population genetics. Our study shows misorientation rates significantly impact Fay and Wu
Area of Science:
- Population genetics
- Evolutionary biology
- Molecular evolution
Background:
- Neutrality tests are crucial for studying molecular evolution.
- Inferring ancestral and derived states relies on outgroup data.
- Homoplasy poses a challenge by causing misidentification of genetic variants.
Purpose of the Study:
- To investigate the impact of homoplasy on neutrality tests.
- To evaluate the influence of misorientation rates on Fay and Wu's H-test.
Main Methods:
- Utilizing polymorphism data and outgroup information.
- Empirically deriving rates of misorientation.
- Analyzing the performance of Fay and Wu's H-test under varying conditions.
Main Results:
- Homoplasy leads to incorrect inference of derived variants.
- Empirically derived misorientation rates significantly affect Fay and Wu's H-test.
- The influence of misorientation is amplified with larger sample sizes.
Conclusions:
- The accuracy of neutrality tests is sensitive to homoplasy.
- Fay and Wu's H-test requires careful consideration of misorientation rates.
- Future studies should account for misorientation to improve ancestral state inference.
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