Sentence examples for mapping and eSNP from inspiring English sources

eQTL mapping and eSNP analysis are frequently used [ 15- 18].

The motivation for eQTL mapping and eSNP analysis is that genetic variation is more likely to impact a disease trait if it alters gene transcription.

For in vitro assays and ESNP characterization, cultures of ESNPs were grown in Permanox chamber slides (Thermo Scientific, Rochester, NY).

Various methods have been tried to identify biologic context for loci identified by GWAS, including (1) expression quantitative trait loci (eQTL) mapping and expression single nucleotide polymorphism (eSNP) analysis [ 10, 15- 18], (2) network analysis [ 19, 20], and (3) pathway analysis [ 18, 21- 23].

EQTL and eSNP were matched for expression probes located within the same exon and SNP proxies were generated and analyzed for all eSNPs.

Gene assignments using this approach were used for the pathway, network, and eSNP analyses below.

The integrated GWAS, coexpression network, and eSNP results therefore supported this coexpression module as an allergic rhinitis module.

Because complex traits such as allergic rhinitis are unlikely to be governed by single genes or loci, however, eQTL and eSNP analyses alone may provide insufficient context.

We have applied the approach of using several biological frameworks (gene, pathway, network, and eSNP) to reduce the relevant search space and make exhaustive pairwise searches tractable.

The Bonferroni method was used to correct for multiple hypothesis-testing separately for each of the gene, pathway, network, and eSNP levels.

We then examined the GWAS and eSNP results together to identify GWAS loci that were eSNPs, as genetic variation that is associated with both the trait and gene expression is more likely to be biologically relevant than variants that are associated with the trait only with no effect on gene expression.