PLoS GeneticsGenomicsPeer-reviewed journal article
Tensor Decomposition of Stimulated Monocyte and Macrophage Gene Expression Profiles Identifies Neurodegenerative Disease-specific Trans-eQTLs
Satesh Ramdhani, Elisa NavarroiD, Evan UdineiD, Anastasia G. EfthymiouiD, Brian M. SchilderiD, Madison ParksiD, Alison GoateiD, Towfique RajiD
Abstract
Recent human genetic studies suggest that cells of the innate immune system have a primary role in the pathogenesis of neurodegenerative diseases. However, the results from these studies often do not elucidate how the genetic variants affect the biology of these cells to modulate disease risk. Here, we applied a tensor decomposition method to uncover disease-associated gene networks linked to distal genetic variation in stimulated human monocytes and macrophages gene expression profiles. We report robust evidence that some disease-associated genetic variants affect the expression of multiple genes in trans. These include a Parkinsons disease locus influencing the expression of genes mediated by a protease that controls lysosomal function, and Alzheimers disease loci influencing the expression of genes involved in type 1 interferon signaling, myeloid phagocytosis, and complement cascade pathways. Overall, we uncover gene networks in induced innate immune cells linked to disease-associated genetic variants, which may help elucidate the underlying biology of disease.
- organism: human
- assay: bulk RNA-seq
- research focus: eQTL / molecular QTL mapping
- approach: statistical model
- Citations
- 28
- FWCI
- 2.20
- Field percentile
- top 13%
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