High polygenic burden is associated with blood DNA methylation changes in individuals with suicidal behavior
Cabrera-Mendoza B, Martínez-Magaña JJ, Genis-Mendoza AD, Sarmiento E, Ruíz-Ramos D, Tovilla-Zárate CA, González-Castro TB, Juárez-Rojop IE, García-de la Cruz DD, López-Armenta M, Real F, García-Dolores F, Flores G, Vázquez-Roque RA, Lanzagorta N, Escamilla M, Saucedo-Uribe E, Rodríguez-Mayoral O, Jiménez-Genchi J, Castañeda-González C, Roche-Bergua A, Nicolini H. High polygenic burden is associated with blood DNA methylation changes in individuals with suicidal behavior. Journal Of Psychiatric Research 2020, 123: 62-71. PMID: 32036075, DOI: 10.1016/j.jpsychires.2020.01.008.Peer-Reviewed Original ResearchMeSH KeywordsDNA MethylationEpigenesis, GeneticHumansMultifactorial InheritanceSuicidal IdeationSuicide, AttemptedConceptsDNA methylation differencesMethylation differencesDiscovery samplePolygenic risk scoresDNA methylation changesSuicidal behaviorGenetic burdenPolygenic burdenPsychiatric Genomics ConsortiumEpigenetic variationATP bindingDNA methylationEnvironmental factorsMethylation changesEpigenetic changesGenomics ConsortiumPolygenic componentGenesGenetic variantsPRS analysesRisk scoreMexican individualsBurdenIntegration of approachesNeurodevelopmentA meta-study on transcription factor networks in the suicidal brain
Cabrera-Mendoza B, de Anda-Jáuregui G, Nicolini H, Fresno C. A meta-study on transcription factor networks in the suicidal brain. Journal Of Psychiatric Research 2021, 136: 23-31. PMID: 33548827, DOI: 10.1016/j.jpsychires.2021.01.037.Peer-Reviewed Original ResearchConceptsBipolar disorderSchizophrenia NetworkSuicidal brainDifferent mental disordersDisorders NetworkMajor depression disorderImmune response genesGene expression differencesHealthy controlsImmune responseDepression disorderDepression networkDisorder-specific characteristicsMental disordersPrefrontal cortexDisordersExpression differencesRegulatory mechanismsTranscription factor networkSuicideSocial stressBrainSuicide neurobiologyTranscriptional factorsFactor network