Featured Publications
The impact of assortative mating, participation bias and socioeconomic status on the polygenic risk of behavioural and psychiatric traits
Cabrera-Mendoza B, Wendt F, Pathak G, Yengo L, Polimanti R. The impact of assortative mating, participation bias and socioeconomic status on the polygenic risk of behavioural and psychiatric traits. Nature Human Behaviour 2024, 8: 976-987. PMID: 38366106, PMCID: PMC11161911, DOI: 10.1038/s41562-024-01828-5.Peer-Reviewed Original ResearchSocioeconomic statusParticipation biasPsychiatric traitsPolygenic riskFrequency of drinking alcoholDepressive disorderTourette syndromeImpact of assortative matingAlcohol-related traitsAlcohol use disorderAlcohol-related phenotypesInvestigate assortative matingSocioeconomic status conditionsHabitual alcohol intakeAssortative matingAlcohol intakeDrinking alcoholBipolar disorderQuestionnaire respondentsUse disorderMeta-analysisParticipantsGametic phase disequilibriumDisordersTouretteEstimating the direct effects of the genetic liabilities to bipolar disorder, schizophrenia, and behavioral traits on suicide attempt using a multivariable Mendelian randomization approach
Cabrera-Mendoza B, Aydin N, Fries G, Docherty A, Walss-Bass C, Polimanti R. Estimating the direct effects of the genetic liabilities to bipolar disorder, schizophrenia, and behavioral traits on suicide attempt using a multivariable Mendelian randomization approach. Neuropsychopharmacology 2024, 49: 1383-1391. PMID: 38396255, PMCID: PMC11250798, DOI: 10.1038/s41386-024-01833-2.Peer-Reviewed Original ResearchAssociated with higher oddsPsychiatric Genomics ConsortiumSubstance use disordersSocioeconomic factorsMendelian randomizationBipolar disorderGenetic liabilitySuicide attemptsHigher oddsTwo-sample Mendelian randomizationGenetic liability to bipolar disorderEffects of mental distressUK Biobank (UKBLiability to bipolar disorderMultivariable MR approachMendelian randomization approachComprehensive mental health assessmentGenome-wide association dataRisk of psychiatric disordersMental health assessmentBehavioral traitsAssociated with lonelinessHigh-risk individualsMental distressContext of SAA 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
2024
Blood epigenome-wide association studies of suicide attempt in adults with bipolar disorder
Mirza S, Lima C, Del Favero-Campbell A, Rubinstein A, Topolski N, Cabrera-Mendoza B, Kovács E, Blumberg H, Richards J, Williams A, Wemmie J, Magnotta V, Fiedorowicz J, Gaine M, Walss-Bass C, Quevedo J, Soares J, Fries G. Blood epigenome-wide association studies of suicide attempt in adults with bipolar disorder. Translational Psychiatry 2024, 14: 70. PMID: 38296944, PMCID: PMC10831084, DOI: 10.1038/s41398-024-02760-y.Peer-Reviewed Original ResearchConceptsEpigenome-wide association studiesDifferentially methylated regionsDifferentially methylated positionsAssociation studiesCo-methylation network analysisBipolar disorderDNA methylation patternsSuicide attemptsReplication cohortHistory of SAGene ontology analysisSignificant CpG sitesMethylation patternsDNA methylationCpG sitesOntology analysisImmune-related genesEnrichment analysisNon-psychiatric controlsCalcium signalingGenesDNAClinical interviewSA historyNetwork analysis