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CONQUER

Authors :: Arno R. van der Slik
Leen M 't Hart
Gerard A Bouland
Joline W. J. Beulens
Roderick C. Slieker
Arnaud Zaldumbide
Joey Nap
Epidemiology and Data Science
ACS - Diabetes & metabolism
ACS - Heart failure & arrhythmias
APH - Health Behaviors & Chronic Diseases
APH - Aging & Later Life
Source :: NAR Genomics and Bioinformatics, 2(4). Oxford University Press, Bouland, G A, Beulens, J W J, Nap, J, van der Slik, A R, Zaldumbide, A, t'Hart, L M & Slieker, R C 2020, ' CONQUER : An interactive toolbox to understand functional consequences of GWAS hits ', NAR Genomics and Bioinformatics, vol. 2, no. 4 . https://doi.org/10.1093/nargab/lqaa085, NAR Genomics and Bioinformatics
Publication Year :: 2020
Abstract: Numerous large genome-wide association studies have been performed to understand the influence of genetics on traits. Many identified risk loci are in non-coding and intergenic regions, which complicates understanding how genes and their downstream pathways are influenced. An integrative data approach is required to understand the mechanism and consequences of identified risk loci. Here, we developed the R-package CONQUER. Data for SNPs of interest are acquired from static- and dynamic repositories (build GRCh38/hg38), including GTExPortal, Epigenomics Project, 4D genome database and genome browsers. All visualizations are fully interactive so that the user can immediately access the underlying data. CONQUER is a user-friendly tool to perform an integrative approach on multiple SNPs where risk loci are not seen as individual risk factors but rather as a network of risk factors.