Publications by authors named "Sophie Breunig"
Article Synopsis
- - The study investigates the genetic differences between Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), aiming to identify genetic factors that influence ASD independently of ADHD using advanced modeling techniques.
- - Results indicated that unique genetic aspects of ASD were positively correlated with cognitive outcomes and psychiatric traits, and specific gene expressions linked to ASD were identified, particularly in areas related to skin disorders.
- - Limitations included a narrow demographic focus on individuals of European ancestry and the challenge of understanding varied ASD traits due to reliance on general diagnoses.
Epidemiological literature has shown that there are extensive comorbidity patterns between psychiatric and physical illness. However, our understanding of the multivariate systems of relationships underlying these patterns is poorly understood. Using Genomic SEM and Genomic E-SEM, an extension for genomic exploratory factor analysis that we introduce and validate, we evaluate the extent to which latent genomic factors from eight domains, encompassing 76 physical outcomes across 1.
View Article and Find Full Text PDFImportance: Autoimmune and autoinflammatory diseases have been linked to psychiatric disorders in the phenotypic and genetic literature. However, a comprehensive model that investigates the association between a broad range of psychiatric disorders and immune-mediated disease in a multivariate framework is lacking.
Objective: This study aims to establish a factor structure based on the genetic correlations of immune-mediated diseases and investigate their genetic relationships with clusters of psychiatric disorders.
Article Synopsis
- Autism spectrum disorder (ASD) is a neurodevelopmental condition that often overlaps with ADHD, but researchers are exploring the distinct genetic risks that are specific to ASD.
- The study utilized advanced genetic modeling techniques to analyze the relationship between ASD and ADHD, breaking down their genetic signals and examining how they overlap with various other traits.
- Findings highlighted 83 unique genes linked to ASD, indicating that there are specific biological factors contributing to ASD that are independent of ADHD, underscoring the importance of tailored research in understanding these complex disorders.
Background: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with diagnostic criteria requiring symptoms to begin in childhood. We investigated whether individuals diagnosed as children differ from those diagnosed in adulthood with respect to shared and unique architecture at the genome-wide and gene expression level of analysis.
Methods: We used genomic structural equation modeling (SEM) to investigate differences in genetic correlations () of childhood-diagnosed ( = 14,878) and adulthood-diagnosed ( = 6961) ADHD with 98 behavioral, psychiatric, cognitive, and health outcomes.
Article Synopsis
- Bipolar disorder (BD) consists of two main types: BD I, which requires at least one manic episode, and BD II, which includes a hypomanic and a depressive episode; BD II is traditionally seen as less severe.
- A study utilized genomic structural equation modeling (Genomic SEM) to examine the genetic differences between BD subtypes using recent data, analyzing their genetic correlations with various external traits and exploring the influence of schizophrenia and major depression.
- Results indicated that BD II had a greater genetic overlap with non-psychiatric traits and major depression than BD I, suggesting a need for reevaluation of the severity distinction between the subtypes based on their genetic profiles.
Article Synopsis
- Bipolar Disorder (BD) is classified into two types: BD I, which includes at least one manic episode, and BD II, which involves both a hypomanic and a depressive episode, with BD II often viewed as less severe than BD I.
- This study utilized Genomic Structural Equation Modeling (Genomic SEM) to explore the genetic differences between these two subtypes, finding significant genetic associations with various traits and a more substantial link between BD II and major depression.
- The research concluded that while there are distinct genetic patterns for BD I and II, the expected severity difference between the subtypes is challenged by BD II's broader genetic connections to clinically relevant traits.
In the classical twin design, researchers compare trait resemblance in cohorts of identical and non-identical twins to understand how genetic and environmental factors correlate with resemblance in behaviour and other phenotypes. The twin design is also a valuable tool for studying causality, intergenerational transmission, and gene-environment correlation and interaction. Here we review recent developments in twin studies, recent results from twin studies of new phenotypes and recent insights into twinning.
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