Chromatin interactions and expression quantitative trait loci reveal genetic drivers of multimorbidities

Tayaza Fadason, William Schierding, Thomas Lumley and Justin M. O’Sullivan ()
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Tayaza Fadason: The University of Auckland
William Schierding: The University of Auckland
Thomas Lumley: The University of Auckland
Justin M. O’Sullivan: The University of Auckland

Nature Communications, 2018, vol. 9, issue 1, 1-13

Abstract: Abstract Clinical studies of non-communicable diseases identify multimorbidities that suggest a common set of predisposing factors. Despite the fact that humans have ~24,000 genes, we do not understand the genetic pathways that contribute to the development of multimorbid non-communicable disease. Here we create a multimorbidity atlas of traits based on pleiotropy of spatially regulated genes. Using chromatin interaction and expression Quantitative Trait Loci (eQTL) data, we analyse 20,782 variants (p

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07692-y

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DOI: 10.1038/s41467-018-07692-y

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