The iPSYCH2012 case-cohort sample: new directions for unravelling genetic and environmental architectures of severe mental disorders.
paper
Cited
Public
- Authors
- Pedersen, C B; Bybjerg-Grauholm, J; Pedersen, M G; Grove, J; Agerbo, E; Bækvad-Hansen, M; Poulsen, J B; Hansen, C S; McGrath, J J; Als, T D; Goldstein, J I; Neale, B M; Daly, M J; Hougaard, D M; Mors, O; Nordentoft, M; Børglum, A D; Werge, T; Mortensen, P B
- Year
- 2018
- Journal
- Molecular psychiatry
- PMID
- 28924187
- DOI
- 10.1038/mp.2017.196
- PMCID
- PMC5754466
The Integrative Psychiatric Research (iPSYCH) consortium has established a large Danish population-based Case-Cohort sample (iPSYCH2012) aimed at unravelling the genetic and environmental architecture of severe mental disorders. The iPSYCH2012 sample is nested within the entire Danish population born between 1981 and 2005, including 1 472 762 persons. This paper introduces the iPSYCH2012 sample and outlines key future research directions. Cases were identified as persons with schizophrenia (N=3540), autism (N=16 146), attention-deficit/hyperactivity disorder (N=18 726) and affective disorder (N=26 380), of which 1928 had bipolar affective disorder. Controls were randomly sampled individuals (N=30 000). Within the sample of 86 189 individuals, a total of 57 377 individuals had at least one major mental disorder. DNA was extracted from the neonatal dried blood spot samples obtained from the Danish Neonatal Screening Biobank and genotyped using the Illumina PsychChip. Genotyping was successful for 90% of the sample. The assessments of exome sequencing, methylation profiling, metabolome profiling, vitamin-D, inflammatory and neurotrophic factors are in progress. For each individual, the iPSYCH2012 sample also includes longitudinal information on health, prescribed medicine, social and socioeconomic information, and analogous information among relatives. To the best of our knowledge, the iPSYCH2012 sample is the largest and most comprehensive data source for the combined study of genetic and environmental aetiologies of severe mental disorders.
The selected samples were correlated with their DNSB identifiers and entered into an in-house developed selection database (Step 1 and 2). Sample identities were then validated and assigned a pseudonymized unique ID (Step 3) before cutting two discs of 3.2 mm of dried blood into a 96-well PCR plate (Step 4). Proteins were washed of the blood spots and stored at −80 °C before DNA was extracted using Extract-N-Amp Blood PCR Kit (Sigma-Aldrich, St Louis, MO, USA) (Step 5). DNA was amplified in triplicates using REPLI-g (Qiagen, Hilden, Germany) and combined to a single sample (Step 6). Finally, concentrations were quantified using Quant-iT picogreen (Invitrogen, Carlsbad, CA, USA) (Step 7) and a genetic fingerprint established using the iPLEX pro Sample ID panel (Agena Bioscience, Hamburg, Germany) (Step 8) before aliquoting a fraction of the sample for genotyping (Step 9).
Scatterplot of the first two principal components colored according to parental region of birth. Big circles indicate mean values for the given parental group. Crosses indicates both parent born abroad within the region indicated by the color. Absence of cross indicate one Danish born parent and one parent born in the region indicated by the color. Persons with unknown information on parental region of birth (N=1088) and mixed parentage are not shown (N=366).
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In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Association Between Maternal Genome-Wide Polygenic Scores for Psychiatric and Neurodevelopmental Disorders and Adverse Perinatal Events: A Danish Population-Based Study. | Ge F et al. | — | 2026 | → |
| Causal association between glucagon-like peptide-1 receptor agonists and mental disorders: insight from genetic and real-world evidence. | Ouyang C et al. | — | 2026 | → |
| Common and rare variant contributions to discontinuation of stimulant treatment in ADHD. | Thirstrup JP et al. | — | 2026 | → |
| Contrasting Risk Profiles for Suicide Attempt and Suicide Using Danish Registers and Genetic Data. | Ge F et al. | — | 2026 | → |
| Genetic and Phenotypic Associations With Sustained Antidepressant Use in Major Depressive Disorder. | Walker A et al. | — | 2026 | → |
| Genetic liability to mental disorders and being delivered via cesarean section. | Østergaard SD et al. | — | 2026 | → |
| Imputing Parental Genotypes Through Mendelian Imputation: Ethical and Legal Considerations. | van de Weijer MP et al. | — | 2026 | → |
| Neonatal gut Bifidobacterium associates with indole-3-lactic acid levels in blood and risk of ADHD at age 10. | Widdowson M et al. | — | 2026 | → |
| Neonatal vitamin D status and asthma risk after age 5 years: A Danish population-based cohort study. | Liu X et al. | — | 2026 | → |
| Rare genetic variants confer a high risk of ADHD and implicate neuronal biology. | Demontis D et al. | — | 2026 | → |
| Systematic Review: Convergence and Divergence Between Autism Spectrum Disorder and Obsessive-Compulsive Disorder: Genetic, Neuroimaging, and Cognitive Findings. | Pereira JA et al. | — | 2026 | → |
| The predicament of heritable confounders. | Cai N et al. | — | 2026 | → |
| The relationship between genotype- and phenotype-based estimates of genetic liability to psychiatric disorders, in practice and in theory. | Dybdahl Krebs M et al. | — | 2026 | → |
| Applying weighted Cox regression to genome-wide association studies of time-to-event phenotypes. | Li Y et al. | — | 2025 | → |
| Association between ambient temperature and emergency psychiatric consultations: A case-crossover study in a South American emergency setting (2021-2023). | Torales J et al. | — | 2025 | → |
| Autism common variants associated with white matter alterations at birth: cross-sectional fixel-based analyses of 221 European term-born neonates from the developing human connectome project. | Le H et al. | — | 2025 | → |
| Autism spectrum disorder common variants associated with regional lobe volume variations at birth: cross-sectional study in 273 European term neonates in developing human connectome project. | Le H et al. | — | 2025 | → |
| Blunted cortisol as a biomarker of depression based on the attenuation hypothesis: A Mendelian randomization analysis using depression as exposure. | Chan II | — | 2025 | → |
| Chronic stress in mice: how gut bacteria influence gene activity in key brain neurons. | Jiang W et al. | — | 2025 | → |
| Confounding by familial factors influences the associations between maternal health and autism. | — | — | 2025 | → |
| Convergent evidence linking neonatal vitamin D status and risk of neurodevelopmental disorders: a Danish case-cohort study. | Horsdal HT et al. | — | 2025 | → |
| Descriptives and Genetic Correlates of Eating Disorder Diagnostic Transitions and Presumed Remission in the Danish Registry. | Abdulkadir M et al. | — | 2025 | → |
| Genetic Confounding in the Association Between Traumatic Brain Injury and Mental Disorder or Suicide. | Østergaard SD et al. | — | 2025 | → |
| Genetic Confounding of the Association Between Age at First Hormonal Contraception and Depression. | Mundy J et al. | — | 2025 | → |
| Genetic liability to depression and cerebral small vessel disease: A mendelian randomization study. | Wang M et al. | — | 2025 | → |
| Genetic risk for adult obstructive lung function and its early life associations. | Pedersen CT et al. | — | 2025 | → |
| Genomic insights from a deeply phenotyped highly consanguineous neurodevelopmental disorders cohort. | Akter H et al. | — | 2025 | → |
| High level of immunoglobulin G targeting mycoplasma or cytomegalovirus in the newborn increases risk of ADHD. | Borbye-Lorenzen N et al. | — | 2025 | → |
| Identifying genetic differences between bipolar disorder and major depression through multiple genome-wide association analyses. | Panagiotaropoulou G et al. | — | 2025 | → |
| Integrative multi-omics data from early development to identify the genes and cell types underlying attention-deficit/hyperactivity disorder. | Jiao S et al. | — | 2025 | → |
| Investigation of brain structures and potential mechanisms associated with ADHD: Insights from Mendelian randomization and genetic analysis. | Hu X et al. | — | 2025 | → |
| Leveraging haplotype information in heritability estimation and polygenic prediction. | Meisner J et al. | — | 2025 | → |
| Long-term physical health conditions and youth anxiety and depression: Is there a causal link? | Shakeshaft A et al. | — | 2025 | → |
| Mental Disorders in Danish Hospital Registers: A Review of Content and Possibilities for Epidemiological Research. | Plana-Ripoll O et al. | — | 2025 | → |
| Moderate and severe depression increase the incidence of cholelithiasis: Results from Mendelian randomization study and the NHANES 2017-March 2020. | Ma M et al. | — | 2025 | → |
| NGS Approaches in Clinical Diagnostics: From Workflow to Disease-Specific Applications. | Brancato D et al. | — | 2025 | → |
| Polygenic scores for autism are associated with reduced neurite density in adults and children from the general population. | Gu Y et al. | — | 2025 | → |
| The role of co-occurring conditions and genetics in the associations of eating disorders with attention-deficit/hyperactivity disorder and autism spectrum disorder. | Christiansen GB et al. | — | 2025 | → |
| Toward Responsible and Sustainable Data Sharing in Large-scale Cohort-based Genomic Research. | Song 宋洁 J et al. | — | 2025 | → |
| T-Rx: A toolbox for reproducible processing of prescriptions (Rx) from electronic health records | Lo CWH et al. | — | 2025 | — |
| 100 ancient genomes show repeated population turnovers in Neolithic Denmark. | Allentoft ME et al. | — | 2024 | → |
| Analysis of exonic deletions in a large population study provides novel insights into NRXN1 pathology. | Montalbano S et al. | — | 2024 | → |
| Associations between ADHD and risk of six psychiatric disorders: a Mendelian randomization study. | Guo Y et al. | — | 2024 | → |
| Curation of causal interactions mediated by genes associated with autism accelerates the understanding of gene-phenotype relationships underlying neurodevelopmental disorders. | Iannuccelli M et al. | — | 2024 | → |
| Diagnosed eating disorders in Danish registers - incidence, prevalence, mortality, and polygenic risk. | Larsen JT et al. | — | 2024 | → |
| Exploring autism spectrum disorder and co-occurring trait associations to elucidate multivariate genetic mechanisms and insights. | Salenius K et al. | — | 2024 | → |
| Gene discovery and biological insights into anxiety disorders from a large-scale multi-ancestry genome-wide association study. | Friligkou E et al. | — | 2024 | → |
| Genetic liability estimated from large-scale family data improves genetic prediction, risk score profiling, and gene mapping for major depression. | Dybdahl Krebs M et al. | — | 2024 | → |
| Genetic predisposition to high BMI increases risk of early life respiratory infections and episodes of severe wheeze and asthma. | Jensen SK et al. | — | 2024 | → |
| Genome-wide Association Study of Susceptibility to Respiratory Syncytial Virus Hospitalization in Young Children <5 Years of age. | Egeskov-Cavling AM et al. | — | 2024 | → |
| Identification of women at high risk of postpartum psychiatric episodes: A population-based study quantifying relative and absolute risks following exposure to selected risk factors and genetic liability. | Johannsen BMW et al. | — | 2024 | → |
| Impact of genetic, sociodemographic, and clinical features on antidepressant treatment trajectories in the perinatal period. | Liu X et al. | — | 2024 | → |
| Interplay of polygenic liability with birth-related, somatic, and psychosocial factors in anorexia nervosa risk: a nationwide study. | Papini NM et al. | — | 2024 | → |
| Method for Testing Etiologic Heterogeneity Among Noncompeting Diagnoses, Applied to Impact of Perinatal Exposures on Autism and Attention Deficit Hyperactivity Disorder. | Kalkbrenner AE et al. | — | 2024 | → |
| Methods applied to neonatal dried blood spot samples for secondary research purposes: a scoping review. | Canning J et al. | — | 2024 | → |
| Perspectives on environment and health research in Denmark. | Horsdal HT et al. | — | 2024 | → |
| Phenomewide Association Study of Health Outcomes Associated With the Genetic Correlates of 25 Hydroxyvitamin D Concentration and Vitamin D Binding Protein Concentration. | Kresge HA et al. | — | 2024 | → |
| Polygenic Analyses Show Important Differences Between Major Depressive Disorder Symptoms Measured Using Various Instruments. | Huang L et al. | — | 2024 | → |
| Polygenic liabilities and treatment trajectories in early-onset depression: a Danish register-based study. | Mundy J et al. | — | 2024 | → |
| Polygenic profiles define aspects of clinical heterogeneity in attention deficit hyperactivity disorder. | LaBianca S et al. | — | 2024 | → |
| Polygenic Risk of Mental Disorders and Subject-Specific School Grades. | Jefsen OH et al. | — | 2024 | → |
| Polygenic scores stratify neurodevelopmental copy number variant carrier cognitive outcomes in the UK Biobank. | Dinneen TJ et al. | — | 2024 | → |
| Population-Based Risk of Psychiatric Disorders Associated With Recurrent Copy Number Variants. | Vaez M et al. | — | 2024 | → |
| Prenatal antidepressant exposure and the risk of decreased gestational age and lower birthweight: A polygenic score approach to investigate confounding by indication. | Rommel AS et al. | — | 2024 | → |
| Quantifying the relative importance of genetics and environment on the comorbidity between mental and cardiometabolic disorders using 17 million Scandinavians. | Meijsen J et al. | — | 2024 | → |
| Shared familial risk for type 2 diabetes mellitus and psychiatric disorders: a nationwide multigenerational genetics study. | Wimberley T et al. | — | 2024 | → |
| The genetic architecture of youth anxiety: a study protocol. | McAusland L et al. | — | 2024 | → |
| The Importance of Large-Scale Genomic Studies to Unravel Genetic Risk Factors for Autism. | Nóbrega IS et al. | — | 2024 | → |
| Towards more comprehensive nationwide familial aggregation studies in Denmark: The Danish Civil Registration System versus the lite Danish Multi-Generation Register. | Due JK et al. | — | 2024 | → |
| Unraveling the metabolomic architecture of autism in a large Danish population-based cohort. | Ottosson F et al. | — | 2024 | → |
| Using the phenotype differences model to identify genetic effects in samples of partially genotyped sibling pairs. | Trejo S et al. | — | 2024 | → |
| Accuracy of haplotype estimation and whole genome imputation affects complex trait analyses in complex biobanks. | Appadurai V et al. | — | 2023 | → |
| ADuLT: An efficient and robust time-to-event GWAS. | Pedersen EM et al. | — | 2023 | → |
| An immunogenetic investigation of 30 autoimmune and autoinflammatory diseases and their links to psychiatric disorders in a nationwide sample. | Nudel R et al. | — | 2023 | → |
| A Review of Major Danish Biobanks: Advantages and Possibilities of Health Research in Denmark. | Laugesen K et al. | — | 2023 | → |
| Associations of psychiatric disorders with sex chromosome aneuploidies in the Danish iPSYCH2015 dataset: a case-cohort study. | Sánchez XC et al. | — | 2023 | → |
| Bidirectional genetic overlap between autism spectrum disorder and cognitive traits. | Hope S et al. | — | 2023 | → |
| Circulating S100B levels at birth and risk of six major neuropsychiatric or neurological disorders: a two-sample Mendelian Randomization Study. | Pan M et al. | — | 2023 | → |
| Cohort-guided insights into gene-environment interactions in autism spectrum disorders. | Lipkin WI et al. | — | 2023 | → |
| DanMAC5: a browser of aggregated sequence variants from 8,671 whole genome sequenced Danish individuals. | Banasik K et al. | — | 2023 | → |
| Deep integrative models for large-scale human genomics. | Sigurdsson AI et al. | — | 2023 | → |
| Deep Learning for Cross-Diagnostic Prediction of Mental Disorder Diagnosis and Prognosis Using Danish Nationwide Register and Genetic Data. | Allesøe RL et al. | — | 2023 | → |
| Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses. | Als TD et al. | — | 2023 | → |
| Developmental language disorder - a comprehensive study of more than 46,000 individuals. | Nudel R et al. | — | 2023 | → |
| Exploring opportunities for drug repurposing and precision medicine in cannabis use disorder using genetics. | Greco LA et al. | — | 2023 | → |
| Genetic and epidemiological analyses of infection load and its relationship with psychiatric disorders. | Nudel R et al. | — | 2023 | → |
| Genetic correlates of vitamin D-binding protein and 25-hydroxyvitamin D in neonatal dried blood spots. | Albiñana C et al. | — | 2023 | → |
| Genetic liability to bipolar disorder and onset of postpartum mental disorders. | Munk-Olsen T et al. | — | 2023 | → |
| Genetic liability to posttraumatic stress disorder and its association with postpartum depression. | Bang Madsen K et al. | — | 2023 | → |
| Genome-wide analyses of ADHD identify 27 risk loci, refine the genetic architecture and implicate several cognitive domains. | Demontis D et al. | — | 2023 | → |
| Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth. | Beaumont RN et al. | — | 2023 | → |
| Is adjustment disorder genetically correlated with depression, anxiety, or risk-tolerant personality trait? | Ohi K et al. | — | 2023 | → |
| Multi-ancestry genome-wide association study of 4069 children with glioma identifies 9p21.3 risk locus. | Foss-Skiftesvik J et al. | — | 2023 | → |
| Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications. | Levey DF et al. | — | 2023 | → |
| Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals. | Zhou H et al. | — | 2023 | → |
| Multi-PGS enhances polygenic prediction by combining 937 polygenic scores. | Albiñana C et al. | — | 2023 | → |
| New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. | Andreassen OA et al. | — | 2023 | → |
| Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder. | Dahl A et al. | — | 2023 | → |
| Phenotypic effects of genetic variants associated with autism. | Rolland T et al. | — | 2023 | → |
| Polygenic liability, stressful life events and risk for secondary-treated depression in early life: a nationwide register-based case-cohort study. | Musliner KL et al. | — | 2023 | → |
| Postpartum and non-postpartum depression: a population-based matched case-control study comparing polygenic risk scores for severe mental disorders. | Munk-Olsen T et al. | — | 2023 | → |
| Risk factors for anorexia nervosa: A population-based investigation of sex differences in polygenic risk and early life exposures. | Chatwin H et al. | — | 2023 | → |
| School performance and genetic propensities for educational attainment and depression in the etiology of self-harm: a Danish population-based study. | Sørensen HJ et al. | — | 2023 | → |
| The correlates of neonatal complement component 3 and 4 protein concentrations with a focus on psychiatric and autoimmune disorders. | Borbye-Lorenzen N et al. | — | 2023 | → |
| The genetic background of hydrocephalus in a population-based cohort: implication of ciliary involvement. | Munch TN et al. | — | 2023 | → |
| The genetics of incontinence: A scoping review. | Breinbjerg A et al. | — | 2023 | → |
| Whole Person Modeling: a transdisciplinary approach to mental health research. | Felsky D et al. | — | 2023 | → |
| Accounting for age of onset and family history improves power in genome-wide association studies. | Pedersen EM et al. | — | 2022 | → |
| A method to correct for the influence of bovine serum albumin-associated vitamin D metabolites in protein extracts from neonatal dried blood spots. | Boelt SG et al. | — | 2022 | → |
| Clinical Impact of Functional CYP2C19 and CYP2D6 Gene Variants on Treatment with Antidepressants in Young People with Depression: A Danish Cohort Study. | Thiele LS et al. | — | 2022 | → |
| Comparing Copy Number Variations in a Danish Case Cohort of Individuals With Psychiatric Disorders. | Calle Sánchez X et al. | — | 2022 | → |
| Comprehensive genome-wide association study of different forms of hernia identifies more than 80 associated loci. | Fadista J et al. | — | 2022 | → |
| Deep learning-based integration of genetics with registry data for stratification of schizophrenia and depression. | Allesøe RL et al. | — | 2022 | → |
| Differences in the genetic architecture of common and rare variants in childhood, persistent and late-diagnosed attention-deficit hyperactivity disorder. | Rajagopal VM et al. | — | 2022 | → |
| Early-Life Injuries and the Development of Attention-Deficit/Hyperactivity Disorder. | Wimberley T et al. | — | 2022 | → |
| Evaluating the interrelations between the autism polygenic score and psychiatric family history in risk for autism. | Schendel D et al. | — | 2022 | → |
| Genetic and psychosocial influence on the association between early childhood infections and later psychiatric disorders. | Debost JPG et al. | — | 2022 | → |
| Genetic correlates of phenotypic heterogeneity in autism. | Warrier V et al. | — | 2022 | → |
| Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci. | Deak JD et al. | — | 2022 | → |
| Genome-wide association study of febrile seizures implicates fever response and neuronal excitability genes. | Skotte L et al. | — | 2022 | → |
| Genome-wide by Environment Interaction Study of Stressful Life Events and Hospital-Treated Depression in the iPSYCH2012 Sample. | Suppli NP et al. | — | 2022 | → |
| Genome-wide study of early and severe childhood asthma identifies interaction between CDHR3 and GSDMB. | Eliasen AU et al. | — | 2022 | → |
| How does genetic variation modify ND-CNV phenotypes? | Dinneen TJ et al. | — | 2022 | → |
| Identification of shared and differentiating genetic architecture for autism spectrum disorder, attention-deficit hyperactivity disorder and case subgroups. | Mattheisen M et al. | — | 2022 | → |
| Infection Polygenic Factors Account for a Small Proportion of the Relationship Between Infections and Mental Disorders. | Shorter JR et al. | — | 2022 | → |
| Life-time Actionable Pharmacogenetic Drug Use: A Population-based Cohort Study in 86 040 Young People With and Without Mental Disorders in Denmark. | Lunenburg CATC et al. | — | 2022 | → |
| Mapping, clustering, and analysis of research in psychiatric genomics. | Yadav S et al. | — | 2022 | → |
| Maternal pregnancy-related infections and autism spectrum disorder-the genetic perspective. | Nudel R et al. | — | 2022 | → |
| Maternal smoking during pregnancy and offspring intellectual disability: sibling analysis in an intergenerational Danish cohort. | Madley-Dowd P et al. | — | 2022 | → |
| Parental inflammatory bowel disease and autism in children. | Sadik A et al. | — | 2022 | → |
| Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort. | Privé F et al. | — | 2022 | → |
| Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders. | Blokland GAM et al. | — | 2022 | → |
| Structural basis of organic cation transporter-3 inhibition. | Khanppnavar B et al. | — | 2022 | → |
| The female protective effect against autism spectrum disorder. | Wigdor EM et al. | — | 2022 | → |
| A Comparison of Ten Polygenic Score Methods for Psychiatric Disorders Applied Across Multiple Cohorts. | Ni G et al. | — | 2021 | → |
| A large-scale investigation into the role of classical HLA loci in multiple types of severe infections, with a focus on overlaps with autoimmune and mental disorders. | Nudel R et al. | — | 2021 | → |
| Anorexia nervosa and inflammatory bowel diseases-Diagnostic and genetic associations. | Larsen JT et al. | — | 2021 | → |
| A polygenic resilience score moderates the genetic risk for schizophrenia. | Hess JL et al. | — | 2021 | → |
| Associations between patterns in comorbid diagnostic trajectories of individuals with schizophrenia and etiological factors. | Krebs MD et al. | — | 2021 | → |
| Causal links between major depressive disorder and insomnia: A Mendelian randomisation study. | Cai L et al. | — | 2021 | → |
| Childhood trauma, life-time self-harm, and suicidal behaviour and ideation are associated with polygenic scores for autism. | Warrier V et al. | — | 2021 | → |
| Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics. | Zhang Y et al. | — | 2021 | → |
| Co-occurring hydrocephalus in autism spectrum disorder: a Danish population-based cohort study. | Munch TN et al. | — | 2021 | → |
| Cooperative Studies Program (CSP) #572: A Study of Serious Mental Illness in Veterans as a Pathway to personalized medicine in Schizophrenia and Bipolar Illness. | Harvey PD et al. | — | 2021 | → |
| Could Polygenic Risk Scores Be Useful in Psychiatry?: A Review. | Murray GK et al. | — | 2021 | → |
| Discordant associations of educational attainment with ASD and ADHD implicate a polygenic form of pleiotropy. | Verhoef E et al. | — | 2021 | → |
| Dissecting polygenic signals from genome-wide association studies on human behaviour. | Abdellaoui A et al. | — | 2021 | → |
| Genetic analyses identify widespread sex-differential participation bias. | Pirastu N et al. | — | 2021 | → |
| Genetic, Clinical, and Sociodemographic Factors Associated With Stimulant Treatment Outcomes in ADHD. | Brikell I et al. | — | 2021 | → |
| Genetic factors underlying the bidirectional relationship between autoimmune and mental disorders - Findings from a Danish population-based study. | Liu X et al. | — | 2021 | → |
| Genetic predictors of educational attainment and intelligence test performance predict voter turnout. | Aarøe L et al. | — | 2021 | → |
| Genetics of substance use disorders in the era of big data. | Gelernter J et al. | — | 2021 | → |
| Genome-wide association study across pediatric central nervous system tumors implicates shared predisposition and points to 1q25.2 (PAPPA2) and 11p12 (LRRC4C) as novel candidate susceptibility loci. | Foss-Skiftesvik J et al. | — | 2021 | → |
| Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology. | Mullins N et al. | — | 2021 | → |
| How do established developmental risk-factors for schizophrenia change the way the brain develops? | Eyles DW | — | 2021 | → |
| Identification of genetic loci associated with nocturnal enuresis: a genome-wide association study. | Jørgensen CS et al. | — | 2021 | → |
| Identifying dominant-negative actions of a dopamine transporter variant in patients with parkinsonism and neuropsychiatric disease. | Herborg F et al. | — | 2021 | → |
| Induced Pluripotent Stem Cells (iPSCs) Technology: Potential Targets for Depression. | Colpo GD et al. | — | 2021 | → |
| Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction. | Albiñana C et al. | — | 2021 | → |
| No evidence of associations between genetic liability for schizophrenia and development of cannabis use disorder. | Hjorthøj C et al. | — | 2021 | → |
| Pharmacogenetic genotype and phenotype frequencies in a large Danish population-based case-cohort sample. | Lunenburg CATC et al. | — | 2021 | → |
| Pleiotropy between language impairment and broader behavioral disorders-an investigation of both common and rare genetic variants. | Nudel R et al. | — | 2021 | → |
| Polygenic Heterogeneity Across Obsessive-Compulsive Disorder Subgroups Defined by a Comorbid Diagnosis. | Strom NI et al. | — | 2021 | → |
| Polygenic Liability and Recurrence of Depression in Patients With First-Onset Depression Treated in Hospital-Based Settings. | Musliner KL et al. | — | 2021 | → |
| Risk of Early-Onset Depression Associated With Polygenic Liability, Parental Psychiatric History, and Socioeconomic Status. | Agerbo E et al. | — | 2021 | → |
| Risk variants and polygenic architecture of disruptive behavior disorders in the context of attention-deficit/hyperactivity disorder. | Demontis D et al. | — | 2021 | → |
| Studying Autism Using Untargeted Metabolomics in Newborn Screening Samples. | Courraud J et al. | — | 2021 | → |
| The Eating Disorders Genetics Initiative (EDGI): study protocol. | Bulik CM et al. | — | 2021 | → |
| The Evolution of Psychiatric Epidemiology: Where to Next? | Plana-Ripoll O et al. | — | 2021 | → |
| Towards Understanding the Genetic Nature of Vasovagal Syncope. | Matveeva N et al. | — | 2021 | → |
| Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder. | Huang K et al. | — | 2021 | → |
| Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction. | Sun J et al. | — | 2021 | → |
| Adolescent residential mobility, genetic liability and risk of schizophrenia, bipolar disorder and major depression. | Paksarian D et al. | — | 2020 | → |
| A large population-based investigation into the genetics of susceptibility to gastrointestinal infections and the link between gastrointestinal infections and mental illness. | Nudel R et al. | — | 2020 | → |
| A large-scale genome-wide association study meta-analysis of cannabis use disorder. | Johnson EC et al. | — | 2020 | → |
| A major role for common genetic variation in anxiety disorders. | Purves KL et al. | — | 2020 | → |
| Association Between Childhood Green Space, Genetic Liability, and the Incidence of Schizophrenia. | Engemann K et al. | — | 2020 | → |
| Autism spectrum disorder genomics: The progress and potential of genomic technologies. | Ní Ghrálaigh F et al. | — | 2020 | → |
| Beyond the looking glass: recent advances in understanding the impact of environmental exposures on neuropsychiatric disease. | Hollander JA et al. | — | 2020 | → |
| Cohort profile: Epidemiology and Genetics of Obsessive-compulsive disorder and chronic tic disorders in Sweden (EGOS). | Mahjani B et al. | — | 2020 | → |
| Families, Health Registers, and Biobanks: Making the Unmeasurable Measurable. | Albiñana CC et al. | — | 2020 | → |
| Genetic liability to ADHD and substance use disorders in individuals with ADHD. | Wimberley T et al. | — | 2020 | → |
| Genetic liability to major depression and risk of childhood asthma. | Liu X et al. | — | 2020 | → |
| Genetics of suicide attempts in individuals with and without mental disorders: a population-based genome-wide association study. | Erlangsen A et al. | — | 2020 | → |
| Genome-wide association study identifies 16 genomic regions associated with circulating cytokines at birth. | Wang Y et al. | — | 2020 | → |
| Genome-wide association study identifies locus at chromosome 2q32.1 associated with syncope and collapse. | Hadji-Turdeghal K et al. | — | 2020 | → |
| Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits. | Zhou H et al. | — | 2020 | → |
| Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism. | Satterstrom FK et al. | — | 2020 | → |
| Polygenic risk score for bipolar disorder and school grades. | Østergaard SD et al. | — | 2020 | → |
| Polygenic risk score, psychosocial environment and the risk of attention-deficit/hyperactivity disorder. | Østergaard SD et al. | — | 2020 | → |
| Population genomics of the Viking world. | Margaryan A et al. | — | 2020 | → |
| Regulatory mechanisms of major depressive disorder risk variants. | Li S et al. | — | 2020 | → |
| Schizophrenia around the time of pregnancy: leveraging population-based health data and electronic health record data to fill knowledge gaps. | Taylor CL et al. | — | 2020 | → |
| The Duffy-null genotype and risk of infection. | Legge SE et al. | — | 2020 | → |
| The effect of temperature on cause-specific mental disorders in three subtropical cities: A case-crossover study in China. | Zhang S et al. | — | 2020 | → |
| Utilization of archived neonatal dried blood spots for genome-wide genotyping. | Sok P et al. | — | 2020 | → |
| A framework for the investigation of rare genetic disorders in neuropsychiatry. | Sanders SJ et al. | — | 2019 | → |
| A genome-wide association study of shared risk across psychiatric disorders implicates gene regulation during fetal neurodevelopment. | Schork AJ et al. | — | 2019 | → |
| A large-scale genomic investigation of susceptibility to infection and its association with mental disorders in the Danish population. | Nudel R et al. | — | 2019 | → |
| Association of Childhood Exposure to Nitrogen Dioxide and Polygenic Risk Score for Schizophrenia With the Risk of Developing Schizophrenia. | Horsdal HT et al. | — | 2019 | → |
| Association of Polygenic Liabilities for Major Depression, Bipolar Disorder, and Schizophrenia With Risk for Depression in the Danish Population. | Musliner KL et al. | — | 2019 | → |
| Autism spectrum disorder and attention deficit hyperactivity disorder have a similar burden of rare protein-truncating variants. | Satterstrom FK et al. | — | 2019 | → |
| Disentangling polygenic associations between attention-deficit/hyperactivity disorder, educational attainment, literacy and language. | Verhoef E et al. | — | 2019 | → |
| Ethical concerns regarding Danish genetic research. | Kristiansen TB et al. | — | 2019 | → |
| Genetic risk scores for major psychiatric disorders and the risk of postpartum psychiatric disorders. | Bauer AE et al. | — | 2019 | → |
| Genetic Variants Associated With Anxiety and Stress-Related Disorders: A Genome-Wide Association Study and Mouse-Model Study. | Meier SM et al. | — | 2019 | → |
| Genome-wide association study implicates CHRNA2 in cannabis use disorder. | Demontis D et al. | — | 2019 | → |
| GWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores. | Mullins N et al. | — | 2019 | → |
| Identification of common genetic risk variants for autism spectrum disorder. | Grove J et al. | — | 2019 | → |
| Inhibition, shifting and updating in relation to psychometric intelligence across ability groups in the psychiatric population. | Biesmans KE et al. | — | 2019 | → |
| Integration of GWAS and brain eQTL identifies FLOT1 as a risk gene for major depressive disorder. | Zhong J et al. | — | 2019 | → |
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