Convex biclustering of shared eGenes among phenotypes resulted in several clusters (Supplementary Figure 4). For each eGene in a cluster, an eGene score (i.e. the percentage of the phenotypes whose associated variants affect the expression of the eGene) is calculated. This data gives for each eGene, the eGene score, number of traits with which the eGene is associated, and its eQTL pairs in the clusters around poly-unsaturated fatty acid metabolism, lung disorders, immune disorders, and mood disorders.<br
Genome-wide association studies (GWAS) have become a very effective research tool to identify geneti...
The analysis of genetic diseases has classically been directed towards establishing direct links bet...
Genetic research into complex diseases is frequently hindered by a lack of clear biomarkers for phen...
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...
<p>X-axis presents phenotypes grouped by categories, while Y-axis represents what fraction of the co...
International audienceGenome-wide association studies (GWASs) have uncovered a wealth of association...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
For many psychiatric and other traits, diagnoses are based on a number of different criteria or phen...
Background Genome-wide association studies (GWAS) uncovered a wealth of associations between common ...
The number of identified genetic variants associated to complex disease cannot fully explain heritab...
Differences (Mann-Whitney test p-values) in association p-values between eQTLs and control variants ...
Genetic research into complex diseases is frequently hindered by a lack of clear biomarkers for phen...
In genome-wide association studies (GWAS) for thousands of phenotypes in biobanks, most binary pheno...
Genome-wide association studies (GWAS) have become a very effective research tool to identify geneti...
The analysis of genetic diseases has classically been directed towards establishing direct links bet...
Genetic research into complex diseases is frequently hindered by a lack of clear biomarkers for phen...
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...
<p>X-axis presents phenotypes grouped by categories, while Y-axis represents what fraction of the co...
International audienceGenome-wide association studies (GWASs) have uncovered a wealth of association...
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-rang...
For many psychiatric and other traits, diagnoses are based on a number of different criteria or phen...
Background Genome-wide association studies (GWAS) uncovered a wealth of associations between common ...
The number of identified genetic variants associated to complex disease cannot fully explain heritab...
Differences (Mann-Whitney test p-values) in association p-values between eQTLs and control variants ...
Genetic research into complex diseases is frequently hindered by a lack of clear biomarkers for phen...
In genome-wide association studies (GWAS) for thousands of phenotypes in biobanks, most binary pheno...
Genome-wide association studies (GWAS) have become a very effective research tool to identify geneti...
The analysis of genetic diseases has classically been directed towards establishing direct links bet...
Genetic research into complex diseases is frequently hindered by a lack of clear biomarkers for phen...