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Edwin J. C. G. van den Oord

Researcher at Virginia Commonwealth University

Publications -  148
Citations -  12271

Edwin J. C. G. van den Oord is an academic researcher from Virginia Commonwealth University. The author has contributed to research in topics: Genome-wide association study & DNA methylation. The author has an hindex of 44, co-authored 144 publications receiving 11054 citations. Previous affiliations of Edwin J. C. G. van den Oord include VCU Medical Center & Utrecht University.

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Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

S. Hong Lee, +405 more
- 01 Sep 2013 - 
TL;DR: Empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
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Genome-wide association study identifies five new schizophrenia loci

Stephan Ripke, +210 more
- 01 Oct 2011 - 
TL;DR: The authors examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects.
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A mega-analysis of genome-wide association studies for major depressive disorder

Stephan Ripke, +115 more
- 01 Apr 2013 - 
TL;DR: This article conducted a genome-wide association studies (GWAS) mega-analysis for major depressive disorder (MDD) using more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18,759 independent and unrelated subjects of recent European ancestry.
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Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Colm O'Dushlaine, +404 more
- 19 Jan 2015 - 
TL;DR: It is indicated that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders.
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Genomewide association studies: history, rationale, and prospects for psychiatric disorders.

Sven Cichon, +123 more
TL;DR: GWAS methods have detected a remarkable number of robust genetic associations for dozens of common diseases and traits, leading to new pathophysiological hypotheses, although only small proportions of genetic variance have been explained thus far and therapeutic applications will require substantial further effort.