Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-range regulatory associations involving >20,000 GWAS variants and their target genes (i.e. eGenes). This figure shows clusters of phenotypes that share eGenes, which implies a common underlying molecular mechanism
The vast majority of genome-wide association study (GWAS) risk loci fall in non-coding regions of th...
A recent study by Cheung et A demonstrates how to identify expression quantitative trait loci (eQTLs...
Convex biclustering of shared eGenes among phenotypes resulted in several clusters (Supplementary Fi...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
International audienceGenome-wide association studies (GWASs) have uncovered a wealth of association...
GenomeWide Association Studies (GWAS) comprehensively compare common genetic variants in affected an...
The widely used pathway-based approach for interpreting Genome Wide Association Studies (GWAS), assu...
Background Genome-wide association studies (GWAS) uncovered a wealth of associations between common ...
<div><p>Genetic variants in cis-regulatory elements or trans-acting regulators frequently influence ...
Genetic variants in cis-regulatory elements or trans-acting regulators frequently influence the quan...
The rapid accumulation of Genome Wide Association Studies (GWAS) and association studies of intermed...
Poster Session: Complex Traits and Polygenic DisordersMore than 10,000 associations with over 600 hu...
The vast majority of genome-wide association study (GWAS) risk loci fall in non-coding regions of th...
A recent study by Cheung et A demonstrates how to identify expression quantitative trait loci (eQTLs...
Convex biclustering of shared eGenes among phenotypes resulted in several clusters (Supplementary Fi...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
International audienceGenome-wide association studies (GWASs) have uncovered a wealth of association...
GenomeWide Association Studies (GWAS) comprehensively compare common genetic variants in affected an...
The widely used pathway-based approach for interpreting Genome Wide Association Studies (GWAS), assu...
Background Genome-wide association studies (GWAS) uncovered a wealth of associations between common ...
<div><p>Genetic variants in cis-regulatory elements or trans-acting regulators frequently influence ...
Genetic variants in cis-regulatory elements or trans-acting regulators frequently influence the quan...
The rapid accumulation of Genome Wide Association Studies (GWAS) and association studies of intermed...
Poster Session: Complex Traits and Polygenic DisordersMore than 10,000 associations with over 600 hu...
The vast majority of genome-wide association study (GWAS) risk loci fall in non-coding regions of th...
A recent study by Cheung et A demonstrates how to identify expression quantitative trait loci (eQTLs...
Convex biclustering of shared eGenes among phenotypes resulted in several clusters (Supplementary Fi...
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