Your English writing platform
Free sign upSuggestions(2)
Exact(2)
GenADA genotype data (after QC) were imputed using Mach (http://www.sph.umich.edu/csg/abecasis/mach/, [42] [43]) based on reference haplotypes from HapMap III phased data (release 2).
In terms of highest minimum quality score, imputation based on reference haplotypes for all races (Scenario 2) was the "best"; however in terms of concordance between the observed and imputed most likely genotype, imputation based on race specific reference haplotypes was "best" (Scenario 1).
Similar(58)
Redrawn based on reference [67].
Based on reference [ 35].
In Scenario 2, imputation was completed by race (as for Scenario 1), but imputation was based on all reference haplotypes for all three races.
The GenADA data was downloaded from dbGap and the data were imputed based on the reference haplotypes from Hapmap III using Mach [42] [43].
The dataset is based on references [107] [116].
We then used IMPUTE2 and Beagle to impute genotypes in the 1216 Gambians based on two reference panels: GMB (200 haplotypes) and GMB+GHN+HM3.afr (1222 haplotypes).
Genotype imputation is the process of inferring unobserved genotypes in a sample based on the haplotypes observed in a more densely genotyped reference sample.
Pairwise Fst statistics were also calculated based on chloroplast haplotypes built from sequence-based markers.
This shows that more individuals are poorly imputed based on such reference sets, likely because their haplotypes are not represented in the reference population.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com