Sentence examples for multilocus association analyses from inspiring English sources

Third, we further examined the effects of multiple SNPs on YOH by two types of genome-wide multilocus association analyses: p-value combination analysis and haplotype analysis with sliding windows of 3, 5, 7 and 9 SNPs.

More specifically, suppose that in multilocus association analyses K SNPs within a functional gene are grouped into an SNP set.

To present the permutation-based LRT, we now give an example motivating from genetic statistics concerning multilocus association analyses in case control studies.

We first evaluated the type I error and power of the proposed LRT in the context of multilocus association analyses with different number of SNPs and various random effects variance component.

By using different methodological constructions, the multilocus association tests and interaction analyses were able to detect genes involved in joint and interactive models, respectively.

In our example analyses, we have considered the predictive performance of the Bayesian multilocus association model and the Bayesian G-BLUP per se and with the three different latent variable layers, with two different data sets.

Genotypes were carefully checked before association analyses.

Fourth, we performed genome-wide multilocus association tests using either the haplotype association test or p-value combination test.

Next, we verified the significant findings obtained from genome-wide multilocus association tests and the interaction tests.

Single-locus association tests, multilocus association tests and pair-wise gene-gene interaction tests were performed to identify young-onset hypertension susceptibility genes.

As described previously [8], the PDT statistic [33] functions within the framework of the MDR algorithm to evaluate multilocus association in pedigrees.