Sentence examples for variants can be studied from inspiring English sources

Common diseases may be attributed to combinations of variant alleles, but there are few model systems where the interactions among such variants can be studied in controlled genetic crosses.

However, such sequence-based efforts restrict the number of variants that can be studied, and inferences based on this approach can be misleading as function can be maintained despite sequence divergence.

The function of these regulatory variants can be further studied using in vitro and in vivo models, of which iPSC-based 'disease in a dish' models appear particularly promising [ 123].

Data from murine studies in particular indicate that although a large proportion of genetic variants can be identified by studies of BMD alone, significant additional information can be obtained with use of more informative bone imaging modalities, such as quantitative computed tomography scanning and magnetic resonance imaging.

Furthermore, our multi-faceted approach for examining the functional significance of non-coding variants can be readily generalized to study other loci important for myelin structure and function.

More common genetic variants can be employed to 'enrich' study samples (for example, the A4 study currently recruiting in North America).

Also PGx variants can be identified from GWAS studies or through candidate gene approaches in large retrospective cohorts.

Based on the confidence intervals for the true ORs, we are able to exclude true ORs of greater than 2.0 in the dominant and greater than 1.5 in the additive genetic model for seven out of the eight SNPs, which we view as an indicator that strong effects of the investigated variants can be excluded by our study.

These genes and genetic variants can be used now in case control studies comparing genetic variants, SNPs or CNVs.

Effect sizes of individual causal variants can be estimated from genetic association studies, and these effects can be summed over all of the known causal variants to obtain an estimate of the narrow-sense heritability that has been explained by these variants.

Likewise, combinations of genetic variants can be used to perform factorial MR studies to obtain unconfounded estimates of the effect of co-occurrence of the two risk factors for disease.