Genomic scans for selective sweeps using SNP data
Cornell University · University of Rochester
Abstract
Detecting selective sweeps from genomic SNP data is complicated by the intricate ascertainment schemes used to discover SNPs, and by the confounding influence of the underlying complex demographics and varying mutation and recombination rates. Current methods for detecting selective sweeps have little or no robustness to the demographic assumptions and varying recombination rates, and provide no method for correcting for ascertainment biases. Here, we present several new tests aimed at detecting selective sweeps from genomic SNP data. Using extensive simulations, we show that a new parametric test, based on composite likelihood, has a high power to detect selective sweeps and is surprisingly robust to…
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Authors
6Topics & keywords
- Biology
- International HapMap Project
- False discovery rate
- SNP
- Background selection
- Genetics
- Single-nucleotide polymorphism
- Imputation (statistics)