Sentence examples similar to imputation of power from inspiring English sources

Second, early GWAS arrays have substantially lower genome-wide coverage of common SNPs for African ancestry (28 49 %) compared to European ancestry populations (75 86 %) [ 44], leading to inefficient imputation and loss of power to detect association.

Finally, we approached the impact of missing data imputation on the power of association mapping in a simulation study.

To save space, we only studied the impact of imputation on the power for the CEU samples.

The effect of imputation on the power depended on the relative risks, disease susceptibility allele frequencies and disease models.

From these Figures we see that if the whole exon pilot dataset was used we observed no improvements of imputation on the power.

Because there is good consistency between γ and the apparent usefulness of imputation for increasing power, it would be helpful to identify the factors that allow the analyst to effectively predict γ and determine how likely imputation is to generate gains in power.

Despite gains in statistical power, imputation of the missing data did not alter our findings.

To maximize statistical power, imputation of genotypes in the NTR sample was based on two alternative reference panels: the 1000G Phase 1 project reference panel (Consortium 2012) and the reference panel generated by the Genome of the Netherlands (GoNL) project (Boomsma et al. 2014; The Genome of the Netherlands 2014).

For our main analysis we will impute baseline missing covariates using either mean or regression imputation to increase power and precision of the estimated treatment effect [ 36].

However, our results also show that high imputation accuracy cannot guarantee an improvement of power in regions with low LD level.

A recent simulation study found that association power and mean imputation R have a roughly linear relationship with a slope near 1.0 (Zheng et al. 2011), which suggests that using the HM3 panel in place of the GMB panel would cause only a small loss of power in an imputation-based association scan.