Sentence examples for variants that directly from inspiring English sources

Our data also provide strong evidence that these methylation differences between ethnicities are at least in part a result of genetic variants that directly disrupt CpG dinucleotides.

Our results are the first steps towards the identification of allelic variants that directly control the phenotypic variation observed for parasite resistance in adult Churra sheep.

However, there is currently no evidence that the variants used here additionally directly affect (or are in LD with variants that directly affect) our outcomes of interest or determinants thereof.

Thus, treatment individualization is likely to be dominated by associations involving genetic variants that directly affect protein function or expression that can be further investigated at the functional level.

It is a longstanding puzzle why non-coding variants in the complement factor H (CFH) gene are more strongly associated with age-related macular degeneration (AMD) than functional coding variants that directly influence the alternative complement pathway.

For example, (one of) our SNPs could be pleiotropic or in LD with another variant that directly affects IQ or cognition.

Hence, it is possible for one (or more) of the nine instruments used here to be pleiotropic or in LD with a variant that directly affects our outcome.

In this article, we provide a likelihood-based approach to testing rare variant associations that directly models sequencing reads without calling genotypes.

Several other rare imputed variants that do not directly correlate with the 15q25 variants identified in GWAS of European descendants (r < 0.05 and D′ = 1) showed association with lung cancer risk in the Han Chinese population (Supplementary Material, Fig. S6).

Genotype imputation (or in silico genotyping) is a statistical technique for predicting genotypes at variants that are not directly measured [ 65], and several methods are available for large-scale imputation of genotypes [ 66- 69].

In doing so it exposes four issues at the heart of this debate: first, concern that standard clinical assessments will be replaced by genetic information; second, lack of methods to assess risk; third, the lack of good visualization tools for graphically depicting disease risk; and fourth, insufficient knowledge on how to deal with variants that are not directly related to disease risk.