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Epigenetic outlier profiles in depression: A genome-wide DNA methylation analysis of monozygotic twins

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Epigenetic outlier profiles in depression: A genome-wide DNA methylation analysis of monozygotic twins

dc.contributor.author	Córdova Palomera, Aldo
dc.contributor.author	Palma Gudiel, Helena
dc.contributor.author	Forés Martos, Jaume
dc.contributor.author	Tabarés Seisdedos, Rafael
dc.contributor.author	Fañanás, Lourdes
dc.date.accessioned	2019-02-26T11:45:55Z
dc.date.available	2019-02-26T11:45:55Z
dc.date.issued	2018
dc.identifier.citation	Córdova Palomera, Aldo Palma Gudiel, Helena Forés Martos, Jaume Tabarés Seisdedos, Rafael Fañanás, Lourdes (2018). Epigenetic outlier profiles in depression: A genome-wide DNA methylation analysis of monozygotic twins. Plos One 13 11
dc.identifier.uri	http://hdl.handle.net/10550/69181
dc.description.abstract	Recent discoveries highlight the importance of stochastic epigenetic changes, as indexed by epigenetic outlier DNA methylation signatures, as a valuable tool to understand aberrant cell function and subsequent human pathology. There is evidence of such changes in different complex disorders as diverse as cancer, obesity and, to a lesser extent, depression. The current study was aimed at identifying outlying DNA methylation signatures of depressive psychopathology. Here, genome-wide DNA methylation levels were measured (by means of Illumina Infinium HumanMethylation450 Beadchip) in peripheral blood of thirty-four monozygotic twins informative for depressive psychopathology (lifetime DSM-IV diagnoses). This dataset was explored to identify outlying epigenetic signatures of depression, operationalized as extreme hyper- or hypo-methylation in affected co-twins from discordant pairs that is not observed across the rest of the study sample. After adjusting for blood cell count, there were thirteen CpG sites across which depressed co-twins from the discordant pairs exhibited outlying DNA methylation signatures. None of them exhibited a methylation outlier profile in the concordant and healthy pairs, and some of these loci spanned genes previously associated with neuropsychiatric phenotypes, such as GHSR and KCNQ1. This exploratory study provides preliminary proof-of-concept validation that epigenetic outlier profiles derived from genome-wide DNA methylation data may be related to depression risk.
dc.language.iso	eng
dc.relation.ispartof	Plos One, 2018, vol. 13, num. 11
dc.subject	genoma humà
dc.subject	malalties mentals
dc.title	Epigenetic outlier profiles in depression: A genome-wide DNA methylation analysis of monozygotic twins
dc.type	journal article	es_ES
dc.date.updated	2019-02-26T11:45:56Z
dc.identifier.doi	10.1371/journal.pone.0207754
dc.identifier.idgrec	130199
dc.rights.accessRights	open access	es_ES