Integrative eQTL analysis of tumor and host omics data in individuals with bladder cancer

Author:

Pineda Silvia12,Van Steen Kristel2,Malats Núria1

Affiliation:

1. Genetic and Molecular Epidemiology Group; Spanish National Cancer Research Centre (CNIO); Madrid Spain

2. Systems and Modeling Unit; Montefiore Institute, University of Liège; Liège Belgium

Funder

Obra Social Fundación “la Caixa”;

Red Temática de Investigación Cooperativa en Cáncer

Fondo de Investigaciones Sanitarias

Spanish Ministry of Economy and Competitiveness

COST Action EUPancreas

Belgian Science Policy Office Phase VII IAP network “Dynamical systems, control and optimization” (DYSCO II)

Instituto de Salud Carlos III

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Reference25 articles.

1. The control of the false discovery rate in multiple testing under dependency;Benjamini;Annals of Statistics,2001

2. Loss of power in two-stage residual-outcome regression analysis in genetic association studies;Che;Genetic Epidemiology,2012

3. Systematic genetic analysis identifies Cis-eQTL target genes associated with glioblastoma patient survival;Chen;PLoS One,2014

4. Bias due to two-stage residual-outcome regression analysis in genetic association studies;Demissie;Genetic Epidemiology,2011

5. Systematic analysis of noncoding somatic mutations and gene expression alterations across 14 tumor types;Fredriksson;Nature Genetics,2014

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