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The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.
In this sense, the vast data generated during the human genome project only provide a minimal help to establish the relationship between sequence variation and susceptibility to disease.
Genevar software was used to determine associations between sequence variation and gene expression (http://www.sanger.ac.uk/resources/software/genevar/) [ 7].
Summary: Genevar (GENe Expression VARiation) is a database and Java tool designed to integrate multiple datasets, and provides analysis and visualization of associations between sequence variation and gene expression.
However an inspection, review and interpretation of the output by an experienced and knowledgeable person is essential to understand the genomic context of these datasets and can be critical to make connections between sequence variation and biological phenomena.
Although we did not find any evidence for association between sequence variation and HTGW in our cohort, we identified three CpG sites whose DNA methylation levels were associated with HTGW, and these associations were largely independent of other metabolic syndrome phenotypes or DNA sequence variation.
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Further research is clearly needed to bridge the gap between sequence variations and their functional consequences in different Symbiodinium types.
Since there are apparent contradictions in the proposed roles of BrFLC1 and BrFLC2, we analyzed sequence variation of BrFLC1 and BrFLC2 in a large collection of B. rapa accessions, and the relationship between sequence variations and flowering time.
The causal link between sequence variation, gene expression, and phenotype arises because the polymorphism might be responsible for both a cis-eQTL and the QTL contributing to a quantitative phenotype, so called pQTL.
There is no report on the correlations between nucleotide sequence variation and rice palatability, between mRNA expression and rice palatability, between GBSS activity and rice palatability.
Epigenomic factors, including DNA methylation, histone modifications and non-coding RNAs, are an integral link between DNA sequence variation and subsequent transcriptional output modulation.
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between sequence variants and
between energy variation and
between sequence structure and
between torque variation and
between practice variation and
between sequence evolution and
between temperature variation and
between sequence depth and
between climate variation and
between treatment variation and
between case variation and
between growth variation and
between sequence conservation and
between sequence identity and
between sequence similarity and
between expression variation and
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