Wouter J Peyrot
Overview
Explore the profile of Wouter J Peyrot including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
30
Citations
3225
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Cai N, Verhulst B, Andreassen O, Buitelaar J, Edenberg H, Hettema J, et al.
Mol Psychiatry
. 2025 Jan;
PMID: 39875590
No abstract available.
2.
Cai N, Verhulst B, Andreassen O, Buitelaar J, Edenberg H, Hettema J, et al.
Mol Psychiatry
. 2024 Dec;
PMID: 39730880
Psychiatric disorders are highly comorbid, heritable, and genetically correlated [1-4]. The primary objective of cross-disorder psychiatric genetics research is to identify and characterize both the shared genetic factors that contribute...
3.
Peyrot W, Panagiotaropoulou G, Olde Loohuis L, Adams M, Awasthi S, Ge T, et al.
medRxiv
. 2024 Feb;
PMID: 38352307
Despite great progress on methods for case-control polygenic prediction (e.g. schizophrenia vs. control), there remains an unmet need for a method that genetically distinguishes clinically related disorders (e.g. schizophrenia (SCZ)...
4.
Uffelmann E, Price A, Posthuma D, Peyrot W
medRxiv
. 2024 Jan;
PMID: 38260678
Polygenic Scores (PGSs) summarize an individual's genetic propensity for a given trait in a single value, based on SNP effect sizes derived from Genome-Wide Association Study (GWAS) results. Methods have...
5.
de Leeuw C, Werme J, Savage J, Peyrot W, Posthuma D
PLoS Genet
. 2023 Sep;
19(9):e1010921.
PMID: 37676898
Transcriptome-wide association studies (TWAS) aim to detect relationships between gene expression and a phenotype, and are commonly used for secondary analysis of genome-wide association study (GWAS) results. Results from TWAS...
6.
Habets P, Thomas R, Milaneschi Y, Jansen R, Pool R, Peyrot W, et al.
Biol Psychiatry
. 2023 Jun;
94(12):948-958.
PMID: 37330166
Background: The ability to predict the disease course of individuals with major depressive disorder (MDD) is essential for optimal treatment planning. Here, we used a data-driven machine learning approach to...
7.
Uffelmann E, Posthuma D, Peyrot W
Sci Rep
. 2023 Mar;
13(1):4219.
PMID: 36918594
No abstract available.
8.
Lin B, Pinzon-Espinosa J, Blouzard E, van der Horst M, Okhuijsen-Pfeifer C, van Eijk K, et al.
JAMA Psychiatry
. 2022 Dec;
80(2):181-185.
PMID: 36542388
Importance: Predictors consistently associated with psychosis liability and course of illness in schizophrenia (SCZ) spectrum disorders (SSD), including the need for clozapine treatment, are lacking. Longitudinally ascertained medication use may...
9.
Weissbrod O, Kanai M, Shi H, Gazal S, Peyrot W, Khera A, et al.
Nat Genet
. 2022 Apr;
54(4):450-458.
PMID: 35393596
Polygenic risk scores suffer reduced accuracy in non-European populations, exacerbating health disparities. We propose PolyPred, a method that improves cross-population polygenic risk scores by combining two predictors: a new predictor...
10.
Peyrot W, Price A
Nat Genet
. 2021 Mar;
53(4):445-454.
PMID: 33686288
Psychiatric disorders are highly genetically correlated, but little research has been conducted on the genetic differences between disorders. We developed a new method (case-case genome-wide association study; CC-GWAS) to test...