0000000000117843
AUTHOR
Matthias Heinig
Network reconstruction for trans acting genetic loci using multi-omics data and prior information.
Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…
A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk
Combined analyses of gene networks and DNA sequence variation can provide new insights into the aetiology of common diseases that may not be apparent from genome-wide association studies alone. Recent advances in rat genomics are facilitating systems-genetics approaches. Here we report the use of integrated genome-wide approaches across seven rat tissues to identify gene networks and the loci underlying their regulation. We defined an interferon regulatory factor 7 (IRF7)-driven inflammatory network (IDIN) enriched for viral response genes, which represents a molecular biomarker for macrophages and which was regulated in multiple tissues by a locus on rat chromosome 15q25. We show that Epst…
Additional file 1 of Network reconstruction for trans acting genetic loci using multi-omics data and prior information
Additional file 1 Supplementary material, supporting figures and tables.
Additional file 2 of Network reconstruction for trans acting genetic loci using multi-omics data and prior information
Additional file 2 Supplementary tables, large supporting tables with table titles as tabs.