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  1. Article ; Online: Using Genetics to Increase Specificity of Outcome Prediction in Psychiatric Disorders: Prospects for Progression.

    Holmans, Peter A

    The American journal of psychiatry

    2020  Volume 177, Issue 10, Page(s) 884–887

    MeSH term(s) Bipolar Disorder ; Depressive Disorder ; Humans ; Mental Disorders/genetics ; Multifactorial Inheritance ; Psychotic Disorders ; Sensitivity and Specificity
    Language English
    Publishing date 2020-09-30
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 280045-7
    ISSN 1535-7228 ; 0002-953X
    ISSN (online) 1535-7228
    ISSN 0002-953X
    DOI 10.1176/appi.ajp.2020.20081181
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  2. Article ; Online: The relationship between case-control differential gene expression from brain tissue and genetic associations in schizophrenia.

    Clifton, Nicholas E / Schulmann, Anton / Holmans, Peter A / O'Donovan, Michael C / Vawter, Marquis P

    American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics

    2023  Volume 192, Issue 5-6, Page(s) 85–92

    Abstract: Large numbers of genetic loci have been identified that are known to contain common risk alleles for schizophrenia, but linking associated alleles to specific risk genes remains challenging. Given that most alleles that influence liability to ... ...

    Abstract Large numbers of genetic loci have been identified that are known to contain common risk alleles for schizophrenia, but linking associated alleles to specific risk genes remains challenging. Given that most alleles that influence liability to schizophrenia are thought to do so by altered gene expression, intuitively, case-control differential gene expression studies should highlight genes with a higher probability of being associated with schizophrenia and could help identify the most likely causal genes within associated loci. Here, we test this hypothesis by comparing transcriptome analysis of the dorsolateral prefrontal cortex from 563 schizophrenia cases and 802 controls with genome-wide association study (GWAS) data from the third wave study of the Psychiatric Genomics Consortium. Genes differentially expressed in schizophrenia were not enriched for common allelic association statistics compared with other brain-expressed genes, nor were they enriched for genes within associated loci previously reported to be prioritized by genetic fine-mapping. Genes prioritized by Summary-based Mendelian Randomization were underexpressed in cases compared to other genes in the same GWAS loci. However, the overall strength and direction of expression change predicted by SMR were not related to that observed in the differential expression data. Overall, this study does not support the hypothesis that genes identified as differentially expressed from RNA sequencing of bulk brain tissue are enriched for those that show evidence for genetic associations. Such data have limited utility for prioritizing genes in currently associated loci in schizophrenia.
    MeSH term(s) Humans ; Schizophrenia/genetics ; Genome-Wide Association Study ; Genetic Predisposition to Disease ; Brain ; Gene Expression/genetics ; Polymorphism, Single Nucleotide/genetics
    Language English
    Publishing date 2023-01-18
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2108616-3
    ISSN 1552-485X ; 1552-4841 ; 0148-7299
    ISSN (online) 1552-485X
    ISSN 1552-4841 ; 0148-7299
    DOI 10.1002/ajmg.b.32931
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  3. Article ; Online: Genetic modifiers of Mendelian disease: Huntington's disease and the trinucleotide repeat disorders.

    Holmans, Peter A / Massey, Thomas H / Jones, Lesley

    Human molecular genetics

    2017  Volume 26, Issue R2, Page(s) R83–R90

    Abstract: In the decades since the genes and mutations associated with the commoner Mendelian disorders were first discovered, technological advances in genetic analysis have made finding genomic variation a much less onerous task. Recently, the global efforts to ... ...

    Abstract In the decades since the genes and mutations associated with the commoner Mendelian disorders were first discovered, technological advances in genetic analysis have made finding genomic variation a much less onerous task. Recently, the global efforts to collect subjects with Mendelian disorders, to better define the disorders and to empower appropriate clinical trials, along with improved genetic technologies, have allowed the identification of genetic variation that does not cause disease, but substantially modifies disease presentation. The advantage of this is it identifies biological pathways and molecules, that, if modified in people, might alter disease presentation. In Huntington's disease (HD), caused by an expanded CAG repeat tract in HTT, genetic variation has been uncovered that is associated with change in the onset or progression of disease. Some of this variation lies in genes that are part of the DNA damage response, previously suggested to be important in modulating expansion of the repeat tract in germline and somatic cells. The genetic evidence implicates a DNA damage response-related pathway in modulating the pathogenicity of the repeat tracts in HD, and possibly, in other trinucleotide repeat disorders. These findings offer new targets for drug development in these currently intractable disorders.
    MeSH term(s) Genes, Modifier ; Genetic Predisposition to Disease/genetics ; Genome-Wide Association Study/methods ; Humans ; Huntingtin Protein/genetics ; Huntingtin Protein/metabolism ; Huntington Disease/genetics ; Mutation/genetics ; Trinucleotide Repeat Expansion/genetics ; Trinucleotide Repeats/genetics
    Chemical Substances Huntingtin Protein
    Language English
    Publishing date 2017-10-04
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1108742-0
    ISSN 1460-2083 ; 0964-6906
    ISSN (online) 1460-2083
    ISSN 0964-6906
    DOI 10.1093/hmg/ddx261
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  4. Article ; Online: Specificity of polygenic signatures across symptom dimensions in bipolar disorder: an analysis of UK Bipolar Disorder Research Network data.

    Allardyce, Judith / Cardno, Alastair G / Gordon-Smith, Katherine / Jones, Lisa / Di Florio, Arianna / Walters, James T R / Holmans, Peter A / Craddock, Nicholas J / Jones, Ian / Owen, Michael J / Escott-Price, Valentina / O'Donovan, Michael C

    The lancet. Psychiatry

    2023  Volume 10, Issue 8, Page(s) 623–631

    Abstract: Background: Current definitions and clinical heterogeneity in bipolar disorder are major concerns as they obstruct aetiological research and impede drug development. Therefore, stratification of bipolar disorder is a high priority. To inform ... ...

    Abstract Background: Current definitions and clinical heterogeneity in bipolar disorder are major concerns as they obstruct aetiological research and impede drug development. Therefore, stratification of bipolar disorder is a high priority. To inform stratification, our analysis aimed to examine the patterns and relationships between polygenic liability for bipolar disorder, major depressive disorder (MDD), and schizophrenia with multidimensional symptom representations of bipolar disorder.
    Methods: In this analysis, data from the UK Bipolar Disorder Research Network (BDRN) were assessed with the Operational Checklist for Psychotic Disorders. Individuals with bipolar disorder as defined in DSM-IV, of European ancestry (self-reported), aged 18 years or older at time of interview, living in the UK, and registered with the BDRN were eligible for inclusion. Psychopathological variables obtained via interview by trained research psychologists or psychiatrists and psychiatric case notes were used to identify statistically distinct symptom dimensions, calibrated with exploratory factor analysis and validated with confirmatory factor analysis (CFA). CFA was extended to include three polygenic risk scores (PRSs) indexing liability for bipolar disorder, MDD, and schizophrenia in a multiple indicator multiple cause (MIMIC) structural equation model to estimate PRS relationships with symptom dimensions.
    Findings: Of 4198 individuals potentially eligible for inclusion, 4148 (2804 [67·6%] female individuals and 1344 [32·4%] male individuals) with a mean age at interview of 45 years (SD 12·03) were available for analysis. Three reliable dimensions (mania, depression, and psychosis) were identified. The MIMIC model fitted the data well (root mean square error of approximation 0·021, 90% CI 0·019-0·023; comparative fit index 0·99) and suggests statistically distinct symptom dimensions also have distinct polygenic profiles. The PRS for MDD was strongly associated with the depression dimension (standardised β 0·125, 95% CI 0·080-0·171) and the PRS for schizophrenia was strongly associated with the psychosis dimension (0·108, 0·082-0·175). For the mania dimension, the PRS for bipolar disorder was weakly associated (0·050, 0·002-0·097).
    Interpretation: Our findings support the hypothesis that genetic heterogeneity underpins clinical heterogeneity, suggesting that different symptom dimensions within bipolar disorder have partly distinct causes. Furthermore, our results suggest that a specific symptom dimension has a similar cause regardless of the primary psychiatric diagnosis, supporting the use of symptom dimensions in precision psychiatry.
    Funding: Wellcome Trust and UK Medical Research Council.
    MeSH term(s) Humans ; Male ; Female ; Middle Aged ; Bipolar Disorder/psychology ; Depressive Disorder, Major/diagnosis ; Depressive Disorder, Major/genetics ; Mania ; Psychotic Disorders/diagnosis ; United Kingdom ; Multifactorial Inheritance/genetics ; Genetic Predisposition to Disease/genetics
    Language English
    Publishing date 2023-07-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2215-0374
    ISSN (online) 2215-0374
    DOI 10.1016/S2215-0366(23)00186-4
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  5. Article ; Online: Developmental disruption to the cortical transcriptome and synaptosome in a model of SETD1A loss-of-function.

    Clifton, Nicholas E / Bosworth, Matthew L / Haan, Niels / Rees, Elliott / Holmans, Peter A / Wilkinson, Lawrence S / Isles, Anthony R / Collins, Mark O / Hall, Jeremy

    Human molecular genetics

    2022  Volume 31, Issue 18, Page(s) 3095–3106

    Abstract: Large-scale genomic studies of schizophrenia implicate genes involved in the epigenetic regulation of transcription by histone methylation and genes encoding components of the synapse. However, the interactions between these pathways in conferring risk ... ...

    Abstract Large-scale genomic studies of schizophrenia implicate genes involved in the epigenetic regulation of transcription by histone methylation and genes encoding components of the synapse. However, the interactions between these pathways in conferring risk to psychiatric illness are unknown. Loss-of-function (LoF) mutations in the gene encoding histone methyltransferase, SETD1A, confer substantial risk to schizophrenia. Among several roles, SETD1A is thought to be involved in the development and function of neuronal circuits. Here, we employed a multi-omics approach to study the effects of heterozygous Setd1a LoF on gene expression and synaptic composition in mouse cortex across five developmental timepoints from embryonic day 14 to postnatal day 70. Using RNA sequencing, we observed that Setd1a LoF resulted in the consistent downregulation of genes enriched for mitochondrial pathways. This effect extended to the synaptosome, in which we found age-specific disruption to both mitochondrial and synaptic proteins. Using large-scale patient genomics data, we observed no enrichment for genetic association with schizophrenia within differentially expressed transcripts or proteins, suggesting they derive from a distinct mechanism of risk from that implicated by genomic studies. This study highlights biological pathways through which SETD1A LOF may confer risk to schizophrenia. Further work is required to determine whether the effects observed in this model reflect human pathology.
    MeSH term(s) Animals ; Epigenesis, Genetic ; Histone Methyltransferases/genetics ; Histone-Lysine N-Methyltransferase/genetics ; Histone-Lysine N-Methyltransferase/metabolism ; Histones/metabolism ; Humans ; Mice ; Synaptosomes/metabolism ; Transcriptome/genetics
    Chemical Substances Histones ; Histone Methyltransferases (EC 2.1.1.-) ; Histone-Lysine N-Methyltransferase (EC 2.1.1.43) ; Setd1A protein, human (EC 2.1.1.43)
    Language English
    Publishing date 2022-04-21
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1108742-0
    ISSN 1460-2083 ; 0964-6906
    ISSN (online) 1460-2083
    ISSN 0964-6906
    DOI 10.1093/hmg/ddac105
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  6. Article ; Online: Genetic Liabilities Differentiating Bipolar Disorder, Schizophrenia, and Major Depressive Disorder, and Phenotypic Heterogeneity in Bipolar Disorder.

    Richards, Alexander L / Cardno, Alastair / Harold, Gordon / Craddock, Nicholas J / Di Florio, Arianna / Jones, Lisa / Gordon-Smith, Katherine / Jones, Ian / Sellers, Ruth / Walters, James T R / Holmans, Peter A / Owen, Michael J / O'Donovan, Michael C

    JAMA psychiatry

    2022  Volume 79, Issue 10, Page(s) 1032–1039

    Abstract: Importance: Understanding the origins of clinical heterogeneity in bipolar disorder (BD) will inform new approaches to stratification and studies of underlying mechanisms.: Objective: To identify components of genetic liability that are shared ... ...

    Abstract Importance: Understanding the origins of clinical heterogeneity in bipolar disorder (BD) will inform new approaches to stratification and studies of underlying mechanisms.
    Objective: To identify components of genetic liability that are shared between BD, schizophrenia, and major depressive disorder (MDD) and those that differentiate each disorder from the others and to examine associations between heterogeneity for key BD symptoms and each component.
    Design, setting, and participants: Using data from the Bipolar Disorder Research Network in the United Kingdom, components of liability were identified by applying genomic structural equation modeling to genome-wide association studies of schizophrenia, BD, and MDD. Polygenic risk scores (PRS) representing each component were tested for association with symptoms in an independent BD data set. Adults with DSM-IV BD or schizoaffective disorder, bipolar type, were included. Data were collected from January 2000 to December 2013, and data were analyzed from June 2020 to February 2022.
    Main outcomes and measures: PRS representing the components of liability were tested for association with mania and depression, psychosis, and mood incongruence of psychosis in participants with BD, measured using the Bipolar Affective Disorder Dimensional Scale.
    Results: Of 4429 included participants, 3012 (68.0%) were female, and the mean (SD) age was 46.2 (12.3) years. Mania and psychosis were associated with the shared liability component (mania β = 0.29; 95% CI, 0.23-0.34; P = 3.04 × 10-25; psychosis β = 0.05; 95% CI, 0.04-0.07; P = 2.33 × 10-13) and the components that differentiate each of schizophrenia (mania β = 0.08; 95% CI, 0.03-0.14; P = .002; psychosis β = 0.03; 95% CI, 0.01-0.04; P = 1.0 × 10-4) and BD (mania β = 0.14; 95% CI, 0.09-0.20; P = 1.99 × 10-7; psychosis β = 0.02; 95% CI, 0.01-0.03; P = .006) from the other disorders. The BD differentiating component was associated with mania independently of effects on psychosis (β = 0.14; 95% CI, 0.08-0.20; P = 4.32 × 10-6) but not with psychosis independently of mania. Conversely, the schizophrenia differentiating component was associated with psychosis independently of effects on mania (β = 0.01; 95% CI, 0.003-0.03; P = .02), but not with mania independently of psychosis. Mood incongruence of psychosis was associated only with the schizophrenia differentiating component (β = 0.03; 95% CI, 0.01-0.05; P = .005). Depression was associated with higher MDD differentiating component (β = 0.07; 95% CI, 0.01-0.12; P = .01) but lower BD differentiating component (β = -0.11; 95% CI, -0.17 to -0.06; P = 7.06 × 10-5).
    Conclusions and relevance: In this study of BD, clinical heterogeneity reflected the burden of liability to BD and the contribution of alleles that have differentiating effects on risk for other disorders; mania, psychosis, and depression were associated with the components of genetic liability differentiating BD, MDD, and schizophrenia, respectively. Understanding the basis of this etiological heterogeneity will be critical for identifying the different pathophysiological processes underlying BD, stratifying patients, and developing precision therapeutics.
    MeSH term(s) Adult ; Bipolar Disorder/diagnosis ; Bipolar Disorder/genetics ; Bipolar Disorder/psychology ; Depressive Disorder, Major/diagnosis ; Depressive Disorder, Major/genetics ; Female ; Genome-Wide Association Study ; Humans ; Male ; Mania ; Middle Aged ; Schizophrenia/diagnosis ; Schizophrenia/genetics
    Language English
    Publishing date 2022-08-31
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2701203-7
    ISSN 2168-6238 ; 2168-622X
    ISSN (online) 2168-6238
    ISSN 2168-622X
    DOI 10.1001/jamapsychiatry.2022.2594
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  7. Article ; Online: Genetic association of FMRP targets with psychiatric disorders.

    Clifton, Nicholas E / Rees, Elliott / Holmans, Peter A / Pardiñas, Antonio F / Harwood, Janet C / Di Florio, Arianna / Kirov, George / Walters, James T R / O'Donovan, Michael C / Owen, Michael J / Hall, Jeremy / Pocklington, Andrew J

    Molecular psychiatry

    2020  Volume 26, Issue 7, Page(s) 2977–2990

    Abstract: Genes encoding the mRNA targets of fragile X mental retardation protein (FMRP) are enriched for genetic association with psychiatric disorders. However, many FMRP targets possess functions that are themselves genetically associated with psychiatric ... ...

    Abstract Genes encoding the mRNA targets of fragile X mental retardation protein (FMRP) are enriched for genetic association with psychiatric disorders. However, many FMRP targets possess functions that are themselves genetically associated with psychiatric disorders, including synaptic transmission and plasticity, making it unclear whether the genetic risk is truly related to binding by FMRP or is alternatively mediated by the sampling of genes better characterised by another trait or functional annotation. Using published common variant, rare coding variant and copy number variant data, we examined the relationship between FMRP binding and genetic association with schizophrenia, major depressive disorder and bipolar disorder. High-confidence targets of FMRP, derived from studies of multiple tissue types, were enriched for common schizophrenia risk alleles, as well as rare loss-of-function and de novo nonsynonymous variants in schizophrenia cases. Similarly, through common variation, FMRP targets were associated with major depressive disorder, and we present novel evidence of association with bipolar disorder. These relationships could not be explained by other functional annotations known to be associated with psychiatric disorders, including those related to synaptic structure and function. This study reinforces the evidence that targeting by FMRP captures a subpopulation of genes enriched for genetic association with a range of psychiatric disorders.
    MeSH term(s) Bipolar Disorder/genetics ; Depressive Disorder, Major/genetics ; Fragile X Mental Retardation Protein/genetics ; Humans ; Mental Disorders/genetics ; Schizophrenia/genetics
    Chemical Substances Fragile X Mental Retardation Protein (139135-51-6)
    Language English
    Publishing date 2020-10-19
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1330655-8
    ISSN 1476-5578 ; 1359-4184
    ISSN (online) 1476-5578
    ISSN 1359-4184
    DOI 10.1038/s41380-020-00912-2
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  8. Article ; Online: A flexible model for association analysis in sibships with missing genotype data.

    Dudbridge, Frank / Holmans, Peter A / Wilson, Scott G

    Annals of human genetics

    2011  Volume 75, Issue 3, Page(s) 428–438

    Abstract: A common design in family-based association studies consists of siblings without parents. Several methods have been proposed for analysis of sibship data, but they mostly do not allow for missing data, such as haplotype phase or untyped markers. On the ... ...

    Abstract A common design in family-based association studies consists of siblings without parents. Several methods have been proposed for analysis of sibship data, but they mostly do not allow for missing data, such as haplotype phase or untyped markers. On the other hand, general methods for nuclear families with missing data are computationally intensive when applied to sibships, since every family has missing parents that could have many possible genotypes. We propose a computationally efficient model for sibships by conditioning on the sets of alleles transmitted into the sibship by each parent. This means that the likelihood can be written only in terms of transmitted alleles and we do not have to sum over all possible untransmitted alleles when they cannot be deduced from the siblings. The model naturally accommodates missing data and admits standard theory of estimation, testing, and inclusion of covariates. Our model is quite robust to population stratification and can test for association in the presence of linkage. We show that our model has similar power to FBAT for single marker analysis and improved power for haplotype analysis. Compared to summing over all possible untransmitted alleles, we achieve similar power with considerable reductions in computation time.
    MeSH term(s) Female ; Gene Frequency ; Genome-Wide Association Study/methods ; Genotype ; Humans ; Male ; Models, Genetic ; Models, Statistical ; Siblings
    Language English
    Publishing date 2011-01-17
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 333-5
    ISSN 1469-1809 ; 0003-4800
    ISSN (online) 1469-1809
    ISSN 0003-4800
    DOI 10.1111/j.1469-1809.2010.00636.x
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  9. Article ; Online: Developmental Profile of Psychiatric Risk Associated With Voltage-Gated Cation Channel Activity.

    Clifton, Nicholas E / Collado-Torres, Leonardo / Burke, Emily E / Pardiñas, Antonio F / Harwood, Janet C / Di Florio, Arianna / Walters, James T R / Owen, Michael J / O'Donovan, Michael C / Weinberger, Daniel R / Holmans, Peter A / Jaffe, Andrew E / Hall, Jeremy

    Biological psychiatry

    2021  Volume 90, Issue 6, Page(s) 399–408

    Abstract: Background: Recent breakthroughs in psychiatric genetics have implicated biological pathways onto which genetic risk for psychiatric disorders converges. However, these studies do not reveal the developmental time point(s) at which these pathways are ... ...

    Abstract Background: Recent breakthroughs in psychiatric genetics have implicated biological pathways onto which genetic risk for psychiatric disorders converges. However, these studies do not reveal the developmental time point(s) at which these pathways are relevant.
    Methods: We aimed to determine the relationship between psychiatric risk and developmental gene expression relating to discrete biological pathways. We used postmortem RNA sequencing data (BrainSeq and BrainSpan) from brain tissue at multiple prenatal and postnatal time points, with summary statistics from recent genome-wide association studies of schizophrenia, bipolar disorder, and major depressive disorder. We prioritized gene sets for overall enrichment of association with each disorder and then tested the relationship between the association of their constituent genes with their relative expression at each developmental stage.
    Results: We observed relationships between the expression of genes involved in voltage-gated cation channel activity during early midfetal, adolescence, and early adulthood time points and association with schizophrenia and bipolar disorder, such that genes more strongly associated with these disorders had relatively low expression during early midfetal development and higher expression during adolescence and early adulthood. The relationship with schizophrenia was strongest for the subset of genes related to calcium channel activity, while for bipolar disorder, the relationship was distributed between calcium and potassium channel activity genes.
    Conclusions: Our results indicate periods during development when biological pathways related to the activity of calcium and potassium channels may be most vulnerable to the effects of genetic variants conferring risk for psychiatric disorders. Furthermore, they indicate key time points and potential targets for disorder-specific therapeutic interventions.
    MeSH term(s) Adult ; Bipolar Disorder/genetics ; Cations ; Depressive Disorder, Major/genetics ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Humans ; Schizophrenia/genetics
    Chemical Substances Cations
    Language English
    Publishing date 2021-03-13
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 209434-4
    ISSN 1873-2402 ; 0006-3223
    ISSN (online) 1873-2402
    ISSN 0006-3223
    DOI 10.1016/j.biopsych.2021.03.009
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  10. Article ; Online: Dynamic expression of genes associated with schizophrenia and bipolar disorder across development.

    Clifton, Nicholas E / Hannon, Eilís / Harwood, Janet C / Di Florio, Arianna / Thomas, Kerrie L / Holmans, Peter A / Walters, James T R / O'Donovan, Michael C / Owen, Michael J / Pocklington, Andrew J / Hall, Jeremy

    Translational psychiatry

    2019  Volume 9, Issue 1, Page(s) 74

    Abstract: Common genetic variation contributes a substantial proportion of risk for both schizophrenia and bipolar disorder. Furthermore, there is evidence of significant, but not complete, overlap in genetic risk between the two disorders. It has been ... ...

    Abstract Common genetic variation contributes a substantial proportion of risk for both schizophrenia and bipolar disorder. Furthermore, there is evidence of significant, but not complete, overlap in genetic risk between the two disorders. It has been hypothesised that genetic variants conferring risk for these disorders do so by influencing brain development, leading to the later emergence of symptoms. The comparative profile of risk gene expression for schizophrenia and bipolar disorder across development over different brain regions however remains unclear. Using genotypes derived from genome-wide associations studies of the largest available cohorts of patients and control subjects, we investigated whether genes enriched for schizophrenia and bipolar disorder association show a bias for expression across any of 13 developmental stages in prefrontal cortical and subcortical brain regions. We show that genetic association with schizophrenia is positively correlated with expression in the prefrontal cortex during early midfetal development and early infancy, and negatively correlated with expression during late childhood, which stabilises in adolescence. In contrast, risk-associated genes for bipolar disorder did not exhibit a bias towards expression at any prenatal stage, although the pattern of postnatal expression was similar to that of schizophrenia. These results highlight the dynamic expression of genes harbouring risk for schizophrenia and bipolar disorder across prefrontal cortex development and support the hypothesis that prenatal neurodevelopmental events are more strongly associated with schizophrenia than bipolar disorder.
    MeSH term(s) Adolescent ; Adolescent Development/physiology ; Adult ; Bipolar Disorder/genetics ; Bipolar Disorder/metabolism ; Child ; Child Development/physiology ; Child, Preschool ; Fetal Development/physiology ; Gene Expression/genetics ; Gene Expression Profiling ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Humans ; Infant ; Prefrontal Cortex/growth & development ; Prefrontal Cortex/metabolism ; Schizophrenia/genetics ; Young Adult
    Language English
    Publishing date 2019-02-04
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2609311-X
    ISSN 2158-3188 ; 2158-3188
    ISSN (online) 2158-3188
    ISSN 2158-3188
    DOI 10.1038/s41398-019-0405-x
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