The left-liberal skew of Western media

We gathered survey data on journalists’ political views in 17 Western countries. We then matched these data to outcomes from national elections, and constructed metrics of journalists’ relative preference for different political parties. Compared to the general population of voters, journalists prefer parties that have more left-wing positions overall (r’s -.47 to -.53, depending on the metric used), and that are associated with certain ideologies, namely environmentalism, feminism, social liberalism, socialism, and support for the European Union. We used Bayesian model averaging to assess the validity of the predictors in multivariate models. We found that, of the ideology tags in our dataset, ‘conservative’ (negative), ‘nationalist’ (negative) and ‘green’ (positive) were the most consistent predictors with nontrivial effect sizes. We also computed estimates of the skew of journalists' political views in different countries. Overall, our results indicate that the Western media has a left-liberal skew

Identification of the BRD1 interaction network and its impact on mental disorder risk

BACKGROUND: The bromodomain containing 1 (BRD1) gene has been implicated with transcriptional regulation, brain development, and susceptibility to schizophrenia and bipolar disorder. To advance the understanding of BRD1 and its role in mental disorders, we characterized the protein and chromatin interactions of the BRD1 isoforms, BRD1-S and BRD1-L. METHODS: Stable human cell lines expressing epitope tagged BRD1-S and BRD1-L were generated and used as discovery systems for identifying protein and chromatin interactions. Protein-protein interactions were identified using co-immunoprecipitation followed by mass spectrometry and chromatin interactions were identified using chromatin immunoprecipitation followed by next generation sequencing. Gene expression profiles and differentially expressed genes were identified after upregulating and downregulating BRD1 expression using microarrays. The presented functional molecular data were integrated with human genomic and transcriptomic data using available GWAS, exome-sequencing datasets as well as spatiotemporal transcriptomic datasets from the human brain. RESULTS: We present several novel protein interactions of BRD1, including isoform-specific interactions as well as proteins previously implicated with mental disorders. By BRD1-S and BRD1-L chromatin immunoprecipitation followed by next generation sequencing we identified binding to promoter regions of 1540 and 823 genes, respectively, and showed correlation between BRD1-S and BRD1-L binding and regulation of gene expression. The identified BRD1 interaction network was found to be predominantly co-expressed with BRD1 mRNA in the human brain and enriched for pathways involved in gene expression and brain function. By interrogation of large datasets from genome-wide association studies, we further demonstrate that the BRD1 interaction network is enriched for schizophrenia risk. CONCLUSION: Our results show that BRD1 interacts with chromatin remodeling proteins, e.g. PBRM1, as well as histone modifiers, e.g. MYST2 and SUV420H1. We find that BRD1 primarily binds in close proximity to transcription start sites and regulates expression of numerous genes, many of which are involved with brain development and susceptibility to mental disorders. Our findings indicate that BRD1 acts as a regulatory hub in a comprehensive schizophrenia risk network which plays a role in many brain regions throughout life, implicating e.g. striatum, hippocampus, and amygdala at mid-fetal stages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-016-0308-x) contains supplementary material, which is available to authorized users

The schizophrenia associated BRD1 gene regulates behavior, neurotransmission, and expression of schizophrenia risk enriched gene sets in mice

BackgroundThe schizophrenia-associated BRD1 gene encodes a transcriptional regulator whose comprehensive chromatin interactome is enriched with schizophrenia risk genes. However, the biology underlying the disease association of BRD1 remains speculative.MethodsThis study assessed the transcriptional drive of a schizophrenia-associated BRD1 risk variant in vitro. Accordingly, to examine the effects of reduced Brd1 expression, we generated a genetically modified Brd1+/- mouse and subjected it to behavioral, electrophysiological, molecular, and integrative genomic analyses with focus on schizophrenia-relevant parameters.ResultsBrd1+/- mice displayed cerebral histone H3K14 hypo-acetylation and a broad range of behavioral changes with translational relevance to schizophrenia. These behaviors were accompanied by striatal dopamine/serotonin abnormalities and cortical excitation-inhibition imbalances involving loss of parvalbumin immunoreactive interneurons. RNAseq analyses of cortical and striatal micropunches from Brd1+/- and wild-type mice revealed differential expression of genes enriched for schizophrenia risk including several schizophrenia GWAS risk genes (e.g. calcium channel subunits (Cacna1c and Cacnb2), cholinergic muscarinic receptor 4 (Chrm4), dopamine receptor D2 (Drd2), and transcription factor 4 (Tcf4)). Integrative analyses further found differentially expressed genes to cluster in functional networks and canonical pathways associated with mental illness and molecular signaling processes (e.g. glutamatergic, monaminergic, calcium, cAMP, DARPP-32, and CREB signaling).ConclusionsOur study bridges the gap between genetic association and pathogenic effects and yields novel insights into the unfolding molecular changes in the brain of a new schizophrenia model that incorporates genetic risk at three levels: allelic, chromatin interactomic, and brain transcriptomic

Genome-wide association study of school grades identifies genetic overlap between language ability, psychopathology and creativity

Cognitive functions of individuals with psychiatric disorders differ from that of the general population. Such cognitive differences often manifest early in life as differential school performance and have a strong genetic basis. Here we measured genetic predictors of school performance in 30,982 individuals in English, Danish and mathematics via a genome-wide association study (GWAS) and studied their relationship with risk for six major psychiatric disorders. When decomposing the school performance into math and language-specific performances, we observed phenotypically and genetically a strong negative correlation between math performance and risk for most psychiatric disorders. But language performance correlated positively with risk for certain disorders, especially schizophrenia, which we replicate in an independent sample (n = 4547). We also found that the genetic variants relating to increased risk for schizophrenia and better language performance are overrepresented in individuals involved in creative professions (n = 2953) compared to the general population (n = 164,622). The findings together suggest that language ability, creativity and psychopathology might stem from overlapping genetic roots

A genetic investigation of sex bias in the prevalence of attention-deficit/hyperactivity disorder

Background Attention-deficit/hyperactivity disorder (ADHD) shows substantial heritability and is 2-7 times more common in males than females. We examined two putative genetic mechanisms underlying this sex bias: sex-specific heterogeneity and higher burden of risk in female cases. Methods We analyzed genome-wide autosomal common variants from the Psychiatric Genomics Consortium and iPSYCH Project (20,183 cases, 35,191 controls) and Swedish populationregister data (N=77,905 cases, N=1,874,637 population controls). Results Genetic correlation analyses using two methods suggested near complete sharing of common variant effects across sexes, with rg estimates close to 1. Analyses of population data, however, indicated that females with ADHD may be at especially high risk of certain comorbid developmental conditions (i.e. autism spectrum disorder and congenital malformations), potentially indicating some clinical and etiological heterogeneity. Polygenic risk score (PRS) analysis did not support a higher burden of ADHD common risk variants in female cases (OR=1.02 [0.98-1.06], p=0.28). In contrast, epidemiological sibling analyses revealed that the siblings of females with ADHD are at higher familial risk of ADHD than siblings of affected males (OR=1.14, [95% CI: 1.11-1.18], p=1.5E-15). Conclusions Overall, this study supports a greater familial burden of risk in females with ADHD and some clinical and etiological heterogeneity, based on epidemiological analyses. However, molecular genetic analyses suggest that autosomal common variants largely do not explain the sex bias in ADHD prevalence

Large-scale genomic data-mining implicates dysregulated nuclear receptor-mediated signaling in mental illness

Aim: Mental illness comprises a group of heterogeneous conditions attributable to a complex interplay between hereditary and environmental components. Acting at the interface between environmental stimuli and their genomic actions, nuclear receptors (NRs) appear uniquely suited to facilitate gene-environment interactions in the context of mental health. Genetic disruptions to the NR transcriptomic complex (NTC) give rise to neuropsychiatric pathologies, and epidemiological risks involving a steroid response are among the most replicated in psychiatry. Importantly, pharmacological targeting of NR-mediated signaling is clinically effective in the treatment of psychiatric disorders. Here, we systematically interrogated large-scale deposited data to provide a comprehensive evaluation of the genomic NTC risk burden in mental illness.Methods: Utilizing data from large, recent genome-, exome-, and methylome-wide association studies on psychiatric disorders, we assessed the representation of NTC genes among top associated loci and tested the gene set associations for NTC and NR target genes using GWAS summary statistics. Through data mining and transcriptomic profiling of NR-mediated signaling in the diseased and healthy human brain, we categorized psychiatry-relevant NTC gene networks.Results: We found that NTC genes are significantly overrepresented in genome-, methylome-, and exome-wide associated loci and that the NTC, as well as NR target gene sets, is overall associated with mental illness. Accordingly, we identified transcriptomic NTC signatures in patient brain samples. In line with a key role for orchestrated NR-mediated signaling in the developing brain, particularly NTC co-expression networks with prenatal peak expression are enriched with differentially methylated, sex-biased, and psychiatry-associated risk variants.Conclusion: Here, we provide multilevel evidence that supports genomic NR-mediated signaling as a common and core molecular mechanism in mental illness, and we highlight specific NR-signaling pathways with putative diagnostic and pharmacological intervention potential in psychiatry