FineMAV: prioritizing candidate genetic variants driving local adaptations in human populations.
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ABSTRACT:
SUBMITTER: Szpak M
PROVIDER: S-EPMC5771147 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Publications
FineMAV: prioritizing candidate genetic variants driving local adaptations in human populations.
Szpak Michał M Mezzavilla Massimo M Ayub Qasim Q Chen Yuan Y Xue Yali Y Tyler-Smith Chris C
Genome biology 20180117 1
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 experimentally validated "gold standard" positively selected variants and simulations. FineMAV has good sensitivity and a low false discovery rate. Applying FineMAV to the 1000 Genomes Project Phase 3 SNP datase ...[more]
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