Sentence examples for power to associate from inspiring English sources

We found no significant association of strength with gene expression up to an FDR cut-off of 25%, possibly due to the small variation between older individuals after training, limiting our power to associate specific genes with specific improvements in strength.

Assuming that the resistant and sensitive lines had fixed allelic frequencies at loci associated with EMB resistance, the resulting F1 hybrids would all be heterozygous at those loci, thus reducing to zero the genotypic variability of that population together with the power to associate genotypes to phenotypes.

Power's reluctance to associate the U.S. government with a UN concept was understandable.

The local controllers assign the target power to each associated PCS, to control the power of each PCS according to transformer-unit-based sub-BESS.

Other simulation results found only a 50% level of power to detect associated variants with a 0.5% effect on the phenotypic variation based on 5000 individuals in genome-wide association studies [44].

Furthermore, many of the existing studies have a small sample size and low statistical power to analyze associated factors.

A recent study applied similar ideas to prioritize candidate disease genes and demonstrated a boost in the power to detect associated genes in GWAS [ 14].

This was likely due to the very small number of patients without CKD in our study (n = 60), which produced low statistical power to detect associated factors.

Currently, >30 genetic variants have been identified in large multicenter studies with sufficient power to be associated with an increased risk of type 2 diabetes (1– 3).

Unlike linkage studies, GWAS are not restricted to sibling pairs and families, and also have generally greater statistical power to detect associated loci of small to moderate effect sizes (Fig. 1) [26].

Recently, gene gene interaction evidence has been incorporated in the GWAS setting to identify epistatic effects on phenotype (Ma et al. 2013), suggesting that correlation-based testing may increase power to detect associated variants.