English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Studies of the genetic loci that contribute to variation in gene expressionfrequently identify loci with broad effect on gene expression: expressionquantitative trait locus (eQTL) hotspots. We describe a set of exploratorygraphical methods as well as a formal likelihood-based test for assessingwhether a given hotspot is due to one or multiple polymorphisms. We first lookat the pattern of effects of the locus on the expression traits that map to thelocus: the direction of the effects, as well as the degree of dominance. Asecond technique is to focus on the individuals that exhibit no recombinationevent in the region, apply dimensionality reduction (such as with lineardiscriminant analysis) and compare the phenotype distribution in thenon-recombinants to that in the recombinant individuals: If the recombinantindividuals display a different expression pattern than the non-recombinants,this indicates the presence of multiple causal polymorphisms. In the formallikelihood-based test, we compare a two-locus model, with each expression traitaffected by one or the other locus, to a single-locus model. We apply ourmethods to a large mouse intercross with gene expression microarray data on sixtissues.

The dissection of expression quantitative trait locus hotspots