Integrative approach to pain genetics identifies pain sensitivity loci across diseases

• Published in: PLoS computational biology Vol. 8; no. 6; p. e1002538
• Main Authors: Ruau, David, Dudley, Joel T, Chen, Rong, Phillips, Nicholas G, Swan, Gary E, Lazzeroni, Laura C, Clark, J David, Butte, Atul J, Angst, Martin S
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.06.2012; Public Library of Science (PLoS)
• Subjects: Biology; Candidates; Clinical trials; Cohort Studies; Cold; Cold Temperature - adverse effects; Computational Biology; Computer applications; Databases, Genetic; Disease; Disease - genetics; DNA microarrays; Female; Gene expression; Gene Expression Profiling; Genealogy; Genetic aspects; Genetics; Genome-Wide Association Study; Genomes; Health sciences; Human genetics; Humans; Integrative Medicine; LIM Domain Proteins - genetics; Male; Medicine; Methods; Models, Genetic; Neurocalcin - genetics; Pain; Pain - etiology; Pain - genetics; Pain perception; Physiological aspects; Studies; Systems Biology; United States; Cold Temperature; Genome-Wide Association Study; Disease; LIM Domain Proteins; Humans; Computational Biology; Databases, Genetic; Male; Gene Expression Profiling; Systems Biology; Pain; Integrative Medicine; Neurocalcin; Female; Models, Genetic; Cohort Studies

Identifying human genes relevant for the processing of pain requires difficult-to-conduct and expensive large-scale clinical trials. Here, we examine a novel integrative paradigm for data-driven discovery of pain gene candidates, taking advantage of the vast amount of existing disease-related clinic...