28 Result(s)
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Edwin J. C. G. Van Den Oord
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Article
Open AccessInvestigating neonatal health risk variables through cell-type specific methylome-wide association studies
Adverse neonatal outcomes are a prevailing risk factor for both short- and long-term mortality and morbidity in infants. Given the importance of these outcomes, refining their assessment is paramount for impro...
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Article
Open AccessFine-grained cell-type specific association studies with human bulk brain data using a large single-nucleus RNA sequencing based reference panel
Brain disorders are leading causes of disability worldwide. Gene expression studies provide promising opportunities to better understand their etiology but it is critical that expression is studied on a cell-t...
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Article
Methylome-wide association study of anxiety disorders
Anxiety Disorders (ANX) such as panic disorder, generalized anxiety disorder, and phobias, are highly prevalent conditions that are moderately heritable. Evidence suggests that DNA methylation may play a role,...
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Article
Genes implicated by a methylome-wide schizophrenia study in neonatal blood show differential expression in adult brain samples
Schizophrenia is a disabling disorder involving genetic predisposition in combination with environmental influences that likely act via dynamic alterations of the epigenome and the transcriptome but its detail...
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Article
DNA methylation signatures of childhood trauma predict psychiatric disorders and other adverse outcomes 17 years after exposure
Childhood trauma is robustly linked to a broad range of adverse outcomes with consequences persisting far into adulthood. We conducted a prospective longitudinal study to predict psychiatric disorders and othe...
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Open AccessTranscriptome-wide association study for postpartum depression implicates altered B-cell activation and insulin resistance
Postpartum depression (PPD) affects 1 in 7 women and has negative mental health consequences for both mother and child. However, the precise biological mechanisms behind the disorder are unknown. Therefore, we...
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Article
Open AccessA targeted solution for estimating the cell-type composition of bulk samples
To avoid false-positive findings and detect cell-type specific associations in methylation and transcription investigations with bulk samples, it is critical to know the proportions of the major cell-types.
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Article
Methylome-wide association findings for major depressive disorder overlap in blood and brain and replicate in independent brain samples
We present the first large-scale methylome-wide association studies (MWAS) for major depressive disorder (MDD) to identify sites of potential importance for MDD etiology. Using a sequencing-based approach that...
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Article
A methylation study of long-term depression risk
Recurrent and chronic major depressive disorder (MDD) accounts for a substantial part of the disease burden because this course is most prevalent and typically requires long-term treatment. We associated blood...
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Article
Responding to a 100-Year-Old Challenge from Fisher: A Biometrical Analysis of Adult Height in the NLSY Data Using Only Cousin Pairs
In 1918, Fisher suggested that his research team had consistently found inflated cousin correlations. He also commented that because a cousin sample with minimal selection bias was not available the cause of t...
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Article
Open AccessConvergence of evidence from a methylome-wide CpG-SNP association study and GWAS of major depressive disorder
DNA methylation is an epigenetic modification that provides stability and diversity to the cellular phenotype. It is influenced by both genetic sequence variation and environmental factors, and can therefore p...
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Protocol
Methyl-CpG-Binding Domain Sequencing: MBD-seq
Detailed biological knowledge about the potential importance of the methylome is typically lacking for common diseases. Therefore, methylome-wide association studies (MWAS) are critical to detect disease relev...
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Article
Open AccessCorrecting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies
Based on an extensive simulation study, McGregor and colleagues recently recommended the use of surrogate variable analysis (SVA) to control for the confounding effects of cell-type heterogeneity in DNA methyl...
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Article
Open AccessHigh density methylation QTL analysis in human blood via next-generation sequencing of the methylated genomic DNA fraction
Genetic influence on DNA methylation is potentially an important mechanism affecting individual differences in humans. We use next-generation sequencing to assay blood DNA methylation at approximately 4.5 mill...
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Article
Refinement of schizophrenia GWAS loci using methylome-wide association data
Recent genome-wide association studies (GWAS) have made substantial progress in identifying disease loci. The next logical step is to design functional experiments to identify disease mechanisms. This step, ho...
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Article
Large-scale neurochemical metabolomics analysis identifies multiple compounds associated with methamphetamine exposure
Methamphetamine (MA) is an illegal stimulant drug of abuse with serious negative health consequences. The neurochemical effects of MA have been partially characterized, with a traditional focus on classical ne...
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Article
Genome-Wide Pharmacogenomic Study of Neurocognition As an Indicator of Antipsychotic Treatment Response in Schizophrenia
Neurocognitive deficits are a core feature of schizophrenia and, therefore, represent potentially critical outcome variables for assessing antipsychotic treatment response. We performed genome-wide association...
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Article
Estimating Effect Sizes in Genome-Wide Association Studies
Knowledge about the proportion of markers without effects (p 0 ) and the effect sizes in large scale genetic studies is important to understand the basic...
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Article
Modeling with Measured Genotypes: Effects of the Vitamin D Receptor Gene, Age, and Latent Genetic and Environmental Factors on Bone Mineral Density
We use empirical data to demonstrate a recently proposed framework for including measured genotypes in structural equation models (Van den Oord and Snieder, 2002). The sample consisted of 227 MZ pairs, 197 DZ ...
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Including Measured Genotypes in Statistical Models to Study the Interplay of Multiple Factors Affecting Complex Traits
The etiology of complex traits may perhaps best be conceptualized by an interplay of multiple factors that mediate the influence of the genes on the eventual outcome. The possibilities of studying aspects of t...
