Sentence examples for a set of reference haplotypes from inspiring English sources

IMPUTE explicitly specifies a set of reference haplotypes (e.g., haplotypes from the HapMap project), as the pool of hidden states of the Markov Chain, and infers haplotypes and missing genotypes in test samples according to these hidden states [5].

We have introduced a theoretical model of genotype imputation accuracy, employing the coalescent framework to model the ancestry of an imputation target haplotype and a set of reference haplotypes.

This observation agrees with other publications, which state that a more diverse set of reference haplotypes increases the accuracy in imputation [27].

In essence, the goal is to return a set of reference panel haplotypes that occupy the most central positions within clusters of the tree.

Whereas the original algorithm imputes genotypes from the full set of reference haplotypes, the new approximation imputes each study haplotype from a custom subset of reference haplotypes.

Lastly, in general, as the proportion (or number) of samples sequenced increased (i.e., larger set of reference haplotypes), the quality of the imputation increased.

One observation from Figure 1 is that the full set of reference haplotypes generated some of the highest accuracy levels in this experiment – the black curves almost always lie above the other curves.

Genotype imputation utilizes a set of reference samples that have been densely genotyped to identify segments of haplotypes that are shared with the study or 'target' population.

Judging from our experience in a variety of studies, we suggest the rule of thumb that k hap should be set to the number of reference haplotypes that have broadly similar ancestry to the study population.

Each configuration also used a special k hap value that was set to the total number of reference haplotypes in that experiment, since this value seldom fell on a grid point.

Our method can also use existing panels of reference haplotypes.