FineMAV: prioritizing candidate genetic variants driving local adaptations in human populations

FineMAV: prioritizing candidate genetic variants driving local adaptations in human populations

Abstract We present a new method, Fine-Mapping of Adaptive Variation (FineMAV), which combines population differentiation, derived allele frequency, and molecular functionality to prioritize positively selected candidate variants for functional follow-up. We calibrate and test FineMAV using eight ex...

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Bibliographic Details
Main Authors: Michał Szpak, Massimo Mezzavilla, Qasim Ayub, Yuan Chen, Yali Xue, Chris Tyler-Smith
Format: Article
Language:English
Published: BMC 2018-01-01
Series:Genome Biology
Subjects:
Human evolution
Positive selection
Selective sweep
Local adaptation
FineMAV
Online Access:http://link.springer.com/article/10.1186/s13059-017-1380-2

Internet

http://link.springer.com/article/10.1186/s13059-017-1380-2

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