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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Expression quantitative trait loci (eQTL) analysis identifies genetic markersassociated with the expression of a gene. Most existing eQTL analyses andmethods investigate association in a single, readily available tissue, such asblood. Joint analysis of eQTL in multiple tissues has the potential to improve,and expand the scope of, single-tissue analyses. Large-scale collaborativeefforts such as the Genotype-Tissue Expression (GTEx) program are currentlygenerating high quality data in a large number of tissues. However,computational constraints limit genome-wide multi-tissue eQTL analysis. Wedevelop an integrative method under a hierarchical Bayesian framework for eQTLanalysis in a large number of tissues. The model fitting procedure is highlyscalable, and the computing time is a polynomial function of the number oftissues. Multi-tissue eQTLs are identified through a local false discovery rateapproach, which rigorously controls the false discovery rate. Using simulationand GTEx real data studies, we show that the proposed method has superiorperformance to existing methods in terms of computing time and the power ofeQTL discovery. We provide a scalable method for eQTL analysis in a largenumber of tissues. The method enables the identification of eQTL with differentconfigurations and facilitates the characterization of tissue specificity.

HT-eQTL: Integrative Expression Quantitative Trait Loci Analysis in a Large Number of Human Tissues