Not exact matches
Estimation of
allele frequency and association mapping
using next - generation sequencing
data.
Estimation of
allele frequency and association mapping
using next - generation sequencing
data Kim, S. Y., K. E. Lohmueller, A. Albrechtsen, Y. Li et al. 2011.
Using large - scale empirical and simulated
data sets, we found that the sample sizes
used in the HapMap project are sufficient to capture common variation, but that performance declines substantially for variants with minor
allele frequencies of < 5 %.
Therefore, we developed THE REAL McCOIL, Turning HEterozygous SNP
data into Robust Estimates of ALelle
frequency, via Markov chain Monte Carlo, and Complexity Of Infection
using Likelihood, to incorporate polygenomic samples and simultaneously estimate
allele frequency and COI.
Data were submitted to structure
using 34 markers with models specified as «admixture» and «
allele frequencies correlated» and 500,000 burn - in and 500,000 Markov chain Monte Carlo iterations (39).