Leveraging correlations between variants in polygenic risk scores to detect heterogeneity in GWAS cohorts.
Evidence from both GWAS and clinical observation has suggested that certain psychiatric, metabolic, and autoimmune diseases are heterogeneous, comprising multiple subtypes with distinct genomic etiologies and Polygenic Risk Scores (PRS). However, the presence of subtypes within many phenotypes is fr...
Main Authors: | Jie Yuan, Henry Xing, Alexandre Louis Lamy, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Todd Lencz, Itsik Pe'er |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-09-01
|
Series: | PLoS Genetics |
Online Access: | https://doi.org/10.1371/journal.pgen.1009015 |
Similar Items
-
Correction: Leveraging correlations between variants in polygenic risk scores to detect heterogeneity in GWAS cohorts.
by: Jie Yuan, et al.
Published: (2020-10-01) -
Post‐GWAS Polygenic Risk Score: Utility and Challenges
by: Tuan V Nguyen, et al.
Published: (2020-11-01) -
Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia
by: The Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium
Published: (2017-05-01) -
PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics
by: Zijie Zhao, et al.
Published: (2021-09-01) -
Investigation of the genetic association between quantitative measures of psychosis and schizophrenia: a polygenic risk score analysis.
by: Eske M Derks, et al.
Published: (2012-01-01)