0000000000289308

AUTHOR

Ole A. Andreassen

showing 13 related works from this author

The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia

2020

Abstract Background Cognitive impairment is a clinically important feature of schizophrenia. Polygenic risk score (PRS) methods have demonstrated genetic overlap between schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), educational attainment (EA), and IQ, but very few studies have examined associations between these PRS and cognitive phenotypes within schizophrenia cases. Methods We combined genetic and cognitive data in 3034 schizophrenia cases from 11 samples using the general intelligence factor g as the primary measure of cognition. We used linear regression to examine the association between cognition and PRS for EA, IQ, schizophrenia, BD, and MDD. The results wer…

Multifactorial InheritanceBipolar DisorderDatasets as TopicINTELLIGENCEGenome-wide association study0302 clinical medicinegenetics [Schizophrenia]education.field_of_studyHERITABILITYCOMMON VARIANTSCognitionbioinformaticsintelligencepsychiatryABILITYPsychiatry and Mental healthSchizophreniaMajor depressive disorderEducational Statuspsychiatry genomics intelligence bioinformaticsClinical psychologyPopulationgenetics [Psychotic Disorders]behavioral disciplines and activities03 medical and health sciencesmental disordersgenomicsmedicineHumansBipolar disorderddc:610GENOME-WIDE ASSOCIATIONeducationSettore MED/25 - PsichiatriaMETAANALYSISGenetic associationDepressive Disorder MajorENDOPHENOTYPESbusiness.industryMEMORYCONSORTIUMgenetics [Depressive Disorder Major]PERFORMANCEmedicine.disease030227 psychiatryPsychotic Disordersgenetics [Intelligence]EndophenotypeSchizophreniabusiness030217 neurology & neurosurgerygenetics [Bipolar Disorder]Regular ArticlesGenome-Wide Association Study
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Dense genotyping of immune-related disease regions identifies nine new risk loci for primary sclerosing cholangitis

2013

To access publisher's full text version of this article click on the hyperlink at the bottom of the page Primary sclerosing cholangitis (PSC) is a severe liver disease of unknown etiology leading to fibrotic destruction of the bile ducts and ultimately to the need for liver transplantation. We compared 3,789 PSC cases of European ancestry to 25,079 population controls across 130,422 SNPs genotyped using the Immunochip. We identified 12 genome-wide significant associations outside the human leukocyte antigen (HLA) complex, 9 of which were new, increasing the number of known PSC risk loci to 16. Despite comorbidity with inflammatory bowel disease (IBD) in 72% of the cases, 6 of the 12 loci sh…

Linkage disequilibriumHISTONE DEACETYLASEGenotyping Techniquesendocrine system diseasesGenome-wide association studyDiseaseBioinformaticsLinkage Disequilibrium0302 clinical medicineGene FrequencyRisk FactorsOligonucleotide Array Sequence Analysis0303 health sciencesCrohn's diseaseeducation.field_of_studydigestive oral and skin physiologyCELIAC-DISEASEGenetic PleiotropyLifrarsjúkdómar3. Good healthFALSE DISCOVERY RATEULCERATIVE-COLITISgenetic association studydisease genetics030211 gastroenterology & hepatologySUSCEPTIBILITY LOCIPopulationCholangitis SclerosingSingle-nucleotide polymorphismHuman leukocyte antigenGENETIC RISKBiologyliverPolymorphism Single Nucleotidedigestive systemArticlePrimary sclerosing cholangitis03 medical and health sciencesFUNCTIONAL SIMILARITYGeneticsmedicineHumansGENOME-WIDE ASSOCIATIONeducation030304 developmental biologyNATURAL-HISTORYArfgengimedicine.diseasedigestive system diseasesimmunogeneticsGenetic LociCase-Control StudiesImmunologyGenome-Wide Association StudyINFLAMMATORY-BOWEL-DISEASE
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Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis

2013

© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

AdultMalemedicine.medical_specialtyBipolar DisorderBipolar disorderTrail Making TestReviewNeuropsychological TestsVerbal learning03 medical and health sciencesMental Processes0302 clinical medicineRisk FactorsmedicineMemory spanHumansMental CompetencyAffective SymptomsBipolar disorderAge of OnsetPsychiatryPsychiatric Status Rating ScalesPsychotropic DrugsNeuropsychologyConfounding Factors EpidemiologicMiddle Agedmedicine.disease030227 psychiatryAffectPsychiatry and Mental healthMoodCognitive impairmentSchizophreniaNeuropsychological testsFemaleVerbal memoryCognition DisordersPsychology030217 neurology & neurosurgeryClinical psychology
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The genetic structure of Norway

2020

AbstractThe aim of the present study was to describe the genetic structure of the Norwegian population using genotypes from 6369 unrelated individuals with detailed information about places of residence. Using standard single marker- and haplotype-based approaches, we report evidence of two regions with distinctive patterns of genetic variation, one in the far northeast, and another in the south of Norway, as indicated by fixation indices, haplotype sharing, homozygosity, and effective population size. We detect and quantify a component of Uralic Sami ancestry that is enriched in the North. On a finer scale, we find that rates of migration have been affected by topography like mountain ridg…

PopulationPopulationContext (language use)NorwegianArticleGene flowDanish03 medical and health sciencesEffective population sizeGenetic variationGeneticsHumansGenetic variationeducationGenetics (clinical)030304 developmental biology0303 health scienceseducation.field_of_studyPolymorphism GeneticNorwayEcology030305 genetics & hereditylanguage.human_languagePedigreeFixation (population genetics)GeographyHaplotypesGenetic structurelanguageGenetic markersVDP::Samfunnsvitenskap: 200
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Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

2019

Fronto-limbic white matter (WM) abnormalities are assumed to lie at the heart of the pathophysiology of bipolar disorder (BD); however, diffusion tensor imaging (DTI) studies have reported heterogeneous results and it is not clear how the clinical heterogeneity is related to the observed differences. This study aimed to identify WM abnormalities that differentiate patients with BD from healthy controls (HC) in the largest DTI dataset of patients with BD to date, collected via the ENIGMA network. We gathered individual tensor-derived regional metrics from 26 cohorts leading to a sample size of N = 3033 (1482 BD and 1551 HC). Mean fractional anisotropy (FA) from 43 regions of interest (ROI) a…

PharmacologyAdultMaleBipolar DisorderCorrectionBrainDiagnostic markersBiologyTranslational researchmedicine.diseaseMega-White MatterCorpus CallosumWhite matterPsychiatry and Mental healthmedicine.anatomical_structureDiffusion Tensor ImagingNeural PathwaysmedicineHumansFemaleBipolar disorderClinical psychologyNeuropsychopharmacology
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Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies

2020

AbstractEating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa (BN) and problem alcohol use (genetic correlation [rg], twin-based=0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge-eating, AN without binge-eating, and a BN factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], …

Netherlands Twin Register (NTR)Alcoholism/geneticsSchizophrenia/genetics[SDV]Life Sciences [q-bio][SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental healthMedizinMedicine (miscellaneous)Genome-wide association studyAlcohol use disorderAnorexia nervosaLinkage Disequilibriumddc:616.89[SCCO]Cognitive science0302 clinical medicineRisk FactorsTobacco Use Disorder/geneticsSubstance-Related Disorders/genetics0303 health sciences[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyFactors de risc en les malaltiesBulimia nervosaFeeding and Eating Disorders/geneticseating disorders; genetic correlation; substance useTobacco Use Disordergenetic correlation3. Good healthFenotip[SDV] Life Sciences [q-bio]Psychiatry and Mental healthAlcoholismEating disordersPhenotypeSchizophreniaDrinking of alcoholic beverageseating disorderConsum d'alcoholMajor depressive disorder/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingmedicine.symptomDepressive Disorder Major/geneticseating disorders genetic correlation substance useClinical psychologySubstance abuseRisk factors in diseasesSubstance-Related Disorderssubstance useeating disordersPolymorphism Single NucleotideArticleFeeding and Eating Disorders03 medical and health sciencesSDG 3 - Good Health and Well-beingmental disorders/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_GeneticsmedicineHumansTrastorns de la conducta alimentària030304 developmental biologyGenetic associationPharmacologyeating disorders ; genetic correlation ; substance useDepressive Disorder MajorBinge eatingbusiness.industry[SCCO.NEUR]Cognitive science/Neuroscience[SCCO.NEUR] Cognitive science/Neurosciencesubstance use.[SCCO] Cognitive sciencemedicine.diseaseComorbidityTwin study030227 psychiatryAbús de substàncies[SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental healthSchizophreniabusinessGenètica030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyGenome-Wide Association Study
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Higher vitamin B12 levels in neurodevelopmental disorders than in healthy controls and schizophrenia

2020

Recent studies suggest that both high and low levels of vitamin B12 (vitB12) may have negative health impacts. We measured VitB12 in patients with the Neurodevelopmental disorders (ND) (n = 222), comprised of Autism Spectrum Disorders, specific Developmental disorders, and Intellectual Disability (aged 2-53 years), schizophrenia (n = 401), and healthy controls (HC) (n = 483). Age-and gender-adjusted vitB12 z-scores were calculated by comparisons with a reference population (n = 76 148). We found higher vitB12 in ND (median 420 pmol/L, mean z-score: 0.30) than in HC (316 pmol/L, z-score: 0.06, P < .01) and schizophrenia (306 pmol/L, z-score: -0.02, P < .001), which was significant after adju…

AdultMale0301 basic medicinemedicine.medical_specialtyAdolescentRenal functionBiochemistryCobalaminHemoglobinsYoung Adult03 medical and health scienceschemistry.chemical_compoundFolic Acid0302 clinical medicineInternal medicineIntellectual disabilityLeukocytesGeneticsHumansMedicineIn patientVitamin B12ChildMolecular Biologybusiness.industryVitamin B 12 DeficiencyMiddle Agedmedicine.diseaseVitamin B 12030104 developmental biologyEndocrinologychemistryNeurodevelopmental DisordersSchizophreniaCase-Control StudiesChild PreschoolDietary SupplementsSchizophreniaAutismFemaleHemoglobinbusiness030217 neurology & neurosurgeryBiotechnologyThe FASEB Journal
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What we learn about bipolar disorder from large-scale neuroimaging

2020

Abstract MRI‐derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta‐Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis‐driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Workin…

mega-analysisStress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13]cortical surface areaReview Article0302 clinical medicineManic-depressive illnessMulticenter Studies as TopicSpectrum disorderReview Articlesbipolar disorderCerebral CortexTrastorn bipolarneuroimagingRadiological and Ultrasound Technology05 social sciencesENIGMAHUMAN BRAINMagnetic Resonance Imagingpsychiatry3. Good healthNeurologyMeta-analysisScale (social sciences)AnatomyPsychologyClinical risk factorClinical psychologyMRIMAJOR PSYCHIATRIC-DISORDERSSchizoaffective disorder050105 experimental psychology03 medical and health sciencesMagnetic resonance imagingNeuroimagingMeta-Analysis as TopicSDG 3 - Good Health and Well-beingImatges per ressonància magnèticamedicineHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingBipolar disorderHIPPOCAMPAL VOLUMESmega‐analysisGRAY-MATTER VOLUMESPECTRUM DISORDERvolumeDIABETES-MELLITUScortical thicknessCOGNITIVE IMPAIRMENTmedicine.diseaseMental illnessmeta-analysismeta‐analysisRC0321Neurology (clinical)SCHIZOAFFECTIVE DISORDERPSYCHOTIC FEATURES030217 neurology & neurosurgeryHuman Brain Mapping
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Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

2019

Fronto-limbic white matter (WM) abnormalities are assumed to lie at the heart of the pathophysiology of bipolar disorder (BD);\ud however, diffusion tensor imaging (DTI) studies have reported heterogeneous results and it is not clear how the clinical\ud heterogeneity is related to the observed differences. This study aimed to identify WM abnormalities that differentiate patients with\ud BD from healthy controls (HC) in the largest DTI dataset of patients with BD to date, collected via the ENIGMA network. We gathered\ud individual tensor-derived regional metrics from 26 cohorts leading to a sample size of N = 3033 (1482 BD and 1551 HC). Mean\ud fractional anisotropy (FA) from 43 regions of i…

Pathologymedicine.medical_specialtyCorpus callosumArticleWhite matter03 medical and health sciences0302 clinical medicineFractional anisotropyCingulum (brain)MedicineManic-depressive illnessBipolar disorderPharmacologyTrastorn bipolarbusiness.industryDiagnostic markersAnisotropiaTranslational researchmedicine.disease030227 psychiatryPsychiatry and Mental healthmedicine.anatomical_structureMeta-analysisAnisotropybusiness030217 neurology & neurosurgeryDiffusion MRITractography
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

2017

International audience; No abstract available

0301 basic medicineCerebellumComputer science[SDV]Life Sciences [q-bio]General Neurosciencelcsh:QP351-495Meeting Abstractslcsh:RC321-57103 medical and health sciencesCellular and Molecular Neurosciencelcsh:Neurophysiology and neuropsychology030104 developmental biologymedicine.anatomical_structuremedicineNeuronlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscienceComputingMilieux_MISCELLANEOUScomputational neuroscienceBMC Neuroscience
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Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

2015

G.B. and S.N. acknowledge funding support for this work from the National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. P.H.L. is supported by US National Institute of Mental Health (NIMH) grant K99MH101367. Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an an…

Netherlands Twin Register (NTR)Statistical methodsAutismMedizinLOCIGenome-wide association studyheritabilityGenome-wide association studiesHistonesGenètica mèdica0302 clinical medicineHistone methylationDatabases Genetic2.1 Biological and endogenous factorsPsychologyGWASAetiologyPsychiatric geneticsR2Cbipolar disorderPsychiatry0303 health sciencesDisordersLociDepressionGeneral NeuroscienceMental DisordersMedical geneticsMETHYLATIONBrain3rd-DASSerious Mental IllnessPsychiatric Disorders3. Good healthHistoneMental HealthSchizophreniaMental DisorderCognitive Sciences[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]PromotersBDCBURDENRC0321 Neuroscience. Biological psychiatry. NeuropsychiatryHumanSignal Transductionmedicine.medical_specialtyDISORDERSGenomicsNetwork and Pathway Analysis Subgroup of Psychiatric Genomics ConsortiumBurdenBiologyMethylationArticleBiological pathwayPROMOTERS03 medical and health sciencesDatabasesGeneticmedicineGenetics/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_HumansGenetic Predisposition to Diseasehistone methylationBipolar disorderPsiquiatriaAUTISMPsychiatry030304 developmental biologyGenetic associationNeurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7]Neurology & NeurosurgeryNeuroscience (all)Human GenomeNeurosciencesmedicine.diseaseBrain DisordersGood Health and Well BeingDE-NOVO MUTATIONSPerturbações do Desenvolvimento Infantil e Saúde MentalRC0321SchizophreniaGenome-wide Association StudiesDe-novo mutationsmajor depressionNeuroscience030217 neurology & neurosurgeryGenome-Wide Association Study
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Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

2018

Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generat…

Netherlands Twin Register (NTR)0301 basic medicineMajor Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics ConsortiumBipolar DisorderSAMPLEMedicine (miscellaneous)Pedigree chartDisease0302 clinical medicineSCHIZOPHRENIA2.1 Biological and endogenous factorsMedicineAetiologyANTICIPATIONlcsh:QH301-705.5Psychiatry0303 health sciencesDepressionASSOCIATIONSerious Mental IllnessPeer reviewMental HealthSchizophrenia/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingMajor depressive disorderGeneral Agricultural and Biological SciencesEngineering sciences. Technologymedicine.medical_specialtyContext (language use)ArticlePsykiatriGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesAGESDG 3 - Good Health and Well-beingddc:570Behavioral and Social Science/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_GeneticsPLINKGenetic TestingBipolar disorderPsychiatryBiology030304 developmental biologybusiness.industryPreventionHuman GenomeAssortative matingmedicine.diseaseBrain Disorders030104 developmental biologyMoodlcsh:Biology (General)Mood disordersAnticipation (genetics)ONSETHuman medicinebusiness030217 neurology & neurosurgery
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Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative

2019

Abstract Background Lithium is recommended as a first line treatment for bipolar disorders. However, only 30% of patients show an optimal outcome and variability in lithium response and tolerability is poorly understood. It remains difficult for clinicians to reliably predict which patients will benefit without recourse to a lengthy treatment trial. Greater precision in the early identification of individuals who are likely to respond to lithium is a significant unmet clinical need. Structure The H2020-funded Response to Lithium Network (R-LiNK; http://www.r-link.eu.com/) will undertake a prospective cohort study of over 300 individuals with bipolar-I-disorder who have agreed to commence a …

medicine.medical_specialtyLithium (medication)[SDV]Life Sciences [q-bio]Psychological interventionOmicsNeuroimagingReviewLithiumDigitallcsh:RC321-57103 medical and health sciences0302 clinical medicinemedicineProspective cohort studyIntensive care medicinelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryPersonalizationbusiness.industrylcsh:QP351-495ResponseActigraphyPrecisionOmicsActigraphy3. Good health030227 psychiatryPsychiatry and Mental healthlcsh:Neurophysiology and neuropsychologyPhenotypeMoodTolerabilityBipolarBiomarker (medicine)business030217 neurology & neurosurgerymedicine.drugInternational Journal of Bipolar Disorders
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