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• W2785202380 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 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 dataset, we report many novel selected variants, including ones in TGM3 and PRSS53 associated with hair phenotypes that we validate using available independent data. FineMAV is widely applicable to sequence data from both human and other species." @default.
• W2785202380 created "2018-02-02" @default.
• W2785202380 creator A5016296408 @default.
• W2785202380 creator A5047569261 @default.
• W2785202380 creator A5051813765 @default.
• W2785202380 creator A5052134746 @default.
• W2785202380 creator A5063511845 @default.
• W2785202380 creator A5066059203 @default.
• W2785202380 date "2018-01-17" @default.
• W2785202380 modified "2023-09-27" @default.
• W2785202380 title "FineMAV: prioritizing candidate genetic variants driving local adaptations in human populations" @default.
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