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Wouter J. Peyrot

Researcher at VU University Amsterdam

Publications -  63
Citations -  8086

Wouter J. Peyrot is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Genome-wide association study & Major depressive disorder. The author has an hindex of 28, co-authored 50 publications receiving 6249 citations. Previous affiliations of Wouter J. Peyrot include Broad Institute & Harvard University.

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Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Naomi R. Wray, +262 more
- 26 Apr 2018 - 
TL;DR: A genome-wide association meta-analysis of individuals with clinically assessed or self-reported depression identifies 44 independent and significant loci and finds important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia.
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Genome-wide association study identifies 74 loci associated with educational attainment

Aysu Okbay, +296 more
- 26 May 2016 - 
TL;DR: In this article, the results of a genome-wide association study (GWAS) for educational attainment were reported, showing that single-nucleotide polymorphisms associated with educational attainment disproportionately occur in genomic regions regulating gene expression in the fetal brain.

Genome-wide association study identifies 74 loci associated with educational attainment

Aysu Okbay, +254 more
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GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

Cornelius A. Rietveld, +230 more
- 21 Jun 2013 - 
TL;DR: In this article, a genome-wide association study of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490 individuals, and three independent SNPs are genome wide significant (rs9320913, rs11584700, rs4851266).
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Genome-wide physical activity interactions in adiposity. A meta-analysis of 200,452 adults

Mariaelisa Graff, +349 more
- 27 Apr 2017 - 
TL;DR: In additional genome-wide meta-analyses adjusting for PA and interaction with PA, 11 novel adiposity loci are identified, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.