Transcriptome‐wide association studies accounting for colocalization using Egger regression

ABSTRACT Integrating genome‐wide association (GWAS) and expression quantitative trait locus (eQTL) data into transcriptome‐wide association studies (TWAS) based on predicted expression can boost power to detect novel disease loci or pinpoint the susceptibility gene at a known disease locus. However,...

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Veröffentlicht in:	Genetic epidemiology 2018-07, Vol.42 (5), p.418-433
Hauptverfasser:	Barfield, Richard, Feng, Helian, Gusev, Alexander, Wu, Lang, Zheng, Wei, Pasaniuc, Bogdan, Kraft, Peter
Format:	Artikel
Sprache:	eng
Schlagworte:	Associations Breast cancer Breast Neoplasms - genetics Computer Simulation Female Gene expression Genetic diversity Genetic Predisposition to Disease Genome-Wide Association Study Genomes Genotype & phenotype Humans Linkage disequilibrium Linkage Disequilibrium - genetics Mendelian randomization Models, Genetic Phenotypes Quantitative trait loci Quantitative Trait Loci - genetics Regression Analysis transciptome‐wide association study Transcriptome - genetics
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