Publications by authors named "Chris Cotsapas"

Objective: To assess whether children with febrile seizures and/or epilepsy were at increased risk of experiencing internalizing symptoms or psychotic-like experiences at age 11 years.

Methods: This cohort study includes 44 819 children from the 11-year follow up of the Danish National Birth Cohort. Information on childhood seizures was retrieved from the Danish National Patient Registry, whereas child psychiatric symptoms were assessed in a web-based questionnaire using the Adolescent Psychotic-like Symptom Screener and the Strength and Difficulties Questionnaire.

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  • Autoimmune and inflammatory diseases involve multiple genes and often share risk alleles, making it tough to pinpoint specific causes.
  • A study analyzing over 129,000 cases and controls found that about 40% of related genetic associations come from the same genetic variants across six different diseases.
  • By improving the resolution of genetic mapping, the researchers could identify more related gene expressions, suggesting that while there are common mechanisms between these diseases, there isn't just one universal cause for all autoimmune diseases.
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Childhood epilepsy has been linked to poor academic performance, but large-scale studies are lacking. In this nation-wide study of school-aged children, we examined the association between childhood epilepsy and school performance in standardized tests according to phenotypic and treatment-related characteristics. We performed a matched register-based cohort study of children born in Denmark (1997-2009) who participated in the Danish National School Test Programme between 2010 and 2019.

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  • IgA nephropathy (IgAN) is a serious kidney disease linked to IgA buildup, and a large study identified 30 genetic risk factors associated with it.
  • Fourteen new loci were discovered that suggest a connection between genetic influences and abnormal IgA levels.
  • The research highlights inflammation-related pathways and potential drug targets, revealing that higher genetic risk scores are tied to earlier kidney failure.
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The IMPACC cohort, composed of >1,000 hospitalized COVID-19 participants, contains five illness trajectory groups (TGs) during acute infection (first 28 days), ranging from milder (TG1-3) to more severe disease course (TG4) and death (TG5). Here, we report deep immunophenotyping, profiling of >15,000 longitudinal blood and nasal samples from 540 participants of the IMPACC cohort, using 14 distinct assays. These unbiased analyses identify cellular and molecular signatures present within 72 h of hospital admission that distinguish moderate from severe and fatal COVID-19 disease.

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International consortia, including ENCODE, Roadmap Epigenomics, Genomics of Gene Regulation and Blueprint Epigenome have made large-scale datasets of open chromatin regions publicly available. While these datasets are extremely useful for studying mechanisms of gene regulation in disease and cell development, they only identify open chromatin regions in individual samples. A uniform comparison of accessibility of the same regulatory sites across multiple samples is necessary to correlate open chromatin accessibility and expression of target genes across matched cell types.

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Identifying genetic risk factors for highly heterogeneous disorders like epilepsy remains challenging. Here, we present the largest whole-exome sequencing study of epilepsy to date, with >54,000 human exomes, comprising 20,979 deeply phenotyped patients from multiple genetic ancestry groups with diverse epilepsy subtypes and 33,444 controls, to investigate rare variants that confer disease risk. These analyses implicate seven individual genes, three gene sets, and four copy number variants at exome-wide significance.

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Genetic association studies of many heritable traits resulting from physiological testing often have modest sample sizes due to the cost and burden of the required phenotyping. This reduces statistical power and limits discovery of multiple genetic associations. We present a strategy to leverage pleiotropy between traits to both discover new loci and to provide mechanistic hypotheses of the underlying pathophysiology.

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  • The genetic basis of traits is mainly polygenic and influenced by non-coding alleles, which are thought to have minor regulatory roles in gene expression.
  • Despite having access to extensive gene expression and epigenomic data, few connections between genetic variants and gene activity have been established.
  • A study identified 220 gene-trait pairs influenced by protein-coding variants, revealing little evidence that typical gene expression explains associations with complex traits, indicating a need for improved models to understand these complexities.
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Large-scale mapping studies have identified 236 independent genetic variants associated with an increased risk of multiple sclerosis. However, none of these variants are found exclusively in patients with multiple sclerosis. They are located throughout the genome, including 32 independent variants in the MHC and one on the X chromosome.

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Introduction: Onset of febrile seizures varies with calendar season. However, it has not previously been assessed, how season of birth interacts with age and peak risk of febrile seizures, and whether season of birth correlates with the cumulative risk of febrile seizures at 5 years of age (i.e.

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Background: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk.

Methods: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH.

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The SARS-CoV-2 virus, which causes COVID-19, has been associated globally with substantial morbidity and mortality. Numerous reports over the past year have described the clinical and immunological profiles of COVID-19 patients, and while some trends have emerged for risk stratification, they do not provide a complete picture. Therefore, efforts are ongoing to identify genetic susceptibility factors of severe disease.

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Objective: Febrile seizure is a common childhood disorder that affects 2-5% of all children, and is associated with later development of epilepsy and psychiatric disorders. This study determines how the incidence of febrile seizures correlates with birth characteristics, age, sex and brain development.

Methods: This is a cohort study of all children born Denmark between 1977 and 2011 who were alive at 3 months of age (N = 2,103,232).

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Genetic mapping studies have identified thousands of associations between common variants and hundreds of human traits. Translating these associations into mechanisms is complicated by two factors: they fall into gene regulatory regions; and they are rarely mapped to one causal variant. One way around these limitations is to find groups of traits that share associations, using this genetic link to infer a biological connection.

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Objective: To assess whether the risk of epilepsy is higher in offspring of mothers with epilepsy than in offspring of fathers with epilepsy.

Methods: In a prospective population-based register study, we considered all singletons born in Denmark between 1981 and 2016 (N = 1,754,742). From the Danish National Patient Register since 1977, we identified epilepsy diagnoses in all study participants and their family members.

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  • Humans exhibit significant diversity in their immune responses, and a new web portal called ImmuneRegulation has been created to help researchers explore this complexity.
  • The platform offers access to a vast dataset, including information on 43,000 individuals, 51,000 experiments, and millions of gene expression and transcription factor data points.
  • ImmuneRegulation simplifies the process of understanding the relationships between genes and immune regulation, making it easier for researchers to apply these insights in biological research and clinical settings.
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Background: Paediatric seizures have been linked to psychiatric disorders in childhood, but there is a paucity of large-scale population-based studies of psychiatric comorbidity in later life. We aimed to examine the relation between childhood seizures and the risk of psychiatric disorders in adolescence and early adulthood.

Methods: We did a register-based cohort study of all individuals born in Denmark in 1978-2002.

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[This corrects the article DOI: 10.1002/cti2.1018.

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  • A study investigated the genetic overlap between 25 brain disorders using data from over 1.2 million individuals, finding that psychiatric disorders share more genetic risk compared to neurological disorders, which seem more distinct.
  • The research identified significant relationships between these disorders and various cognitive measures, suggesting shared underlying traits.
  • Simulations were conducted to understand how factors like sample size and diagnosis accuracy influence genetic correlations, emphasizing the role of common genetic variations in the risk of brain disorders.
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Large-scale genetic studies of multiple sclerosis have identified over 230 risk effects across the human genome, making it a prototypical common disease with complex genetic architecture. Here, after a brief historical background on the discovery and definition of the disease, we summarise the last fifteen years of genetic discoveries and map out the challenges that remain to translate these findings into an aetiological framework and actionable clinical understanding.

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Multiple sclerosis is a potentially progressive, autoimmune neurologic disorder of the central nervous system, resulting from an autoimmune attack on central nervous system white matter. It is a leading cause of neurologic symptoms in young adults, with no known cure. Emerging disease-modifying therapies aim to control symptoms, with increasingly sophisticated immune function modulation.

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  • The microbiome, which is made up of tiny living things in our body, can change how our immune system develops and works.
  • In a study with human-like mice, they found that using antibiotics changed the immune response, making some immune cells more active.
  • This means that changes in the microbiome can affect how well certain medicines work to control the immune system.
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Genome-wide association studies in autoimmune and inflammatory diseases (AID) have uncovered hundreds of loci mediating risk. These associations are preferentially located in non-coding DNA regions and in particular in tissue-specific DNase I hypersensitivity sites (DHSs). While these analyses clearly demonstrate the overall enrichment of disease risk alleles on gene regulatory regions, they are not designed to identify individual regulatory regions mediating risk or the genes under their control, and thus uncover the specific molecular events driving disease risk.

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Efforts to decipher the causal relationships between differences in gene regulation and corresponding differences in phenotype have been stymied by several basic technical challenges. Although detecting local, cis-eQTLs is now routine, trans-eQTLs, which are distant from the genes of origin, are far more difficult to find because millions of SNPs must currently be compared to thousands of transcripts. Here, we demonstrate an alternative approach: we looked for SNPs associated with the expression of many genes simultaneously and found that hundreds of trans-eQTLs each affect hundreds of transcripts in lymphoblastoid cell lines across three African populations.

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