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The Cardiogenics study

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00010000446 Illumina Human-Ref-8 v3 beadchip 758
EGAD00010000448 Illumina Human-Ref-8 v3 beadchip 758
EGAD00010000450 Illumina Human Custom 1,2M and Human 610 Quad Custom arrays 758
Publications Citations
Four genetic loci influencing electrocardiographic indices of left ventricular hypertrophy.
Circ Cardiovasc Genet 4: 2011 626-635
Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans.
PLoS Genet 7: 2011 e1002367
Integration of disease association and eQTL data using a Bayesian colocalisation approach highlights six candidate causal genes in immune-mediated diseases.
Hum Mol Genet 24: 2015 3305-3313
Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.
Genome Biol 17: 2016 33
Preservation Analysis of Macrophage Gene Coexpression Between Human and Mouse Identifies PARK2 as a Genetically Controlled Master Regulator of Oxidative Phosphorylation in Humans.
G3 (Bethesda) 6: 2016 3361-3371
Prioritizing Parkinson's disease genes using population-scale transcriptomic data.
Nat Commun 10: 2019 994
Tensor decomposition of stimulated monocyte and macrophage gene expression profiles identifies neurodegenerative disease-specific trans-eQTLs.
PLoS Genet 16: 2020 e1008549
A framework for integrating directed and undirected annotations to build explanatory models of cis-eQTL data.
PLoS Comput Biol 16: 2020 e1007770
Integration of Alzheimer's disease genetics and myeloid genomics identifies disease risk regulatory elements and genes.
Nat Commun 12: 2021 1610
Defining functional variants associated with Alzheimer's disease in the induced immune response.
Brain Commun 3: 2021 fcab083