Challenges and opportunities for developing more generalizable polygenic risk scores
Polygenic risk scores (PRS) estimate an individual's genetic likelihood of complex traits and
diseases by aggregating information across multiple genetic variants identified from genome …
diseases by aggregating information across multiple genetic variants identified from genome …
Genetic prediction of complex traits with polygenic scores: a statistical review
Accurate genetic prediction of complex traits can facilitate disease screening, improve early
intervention, and aid in the development of personalized medicine. Genetic prediction of …
intervention, and aid in the development of personalized medicine. Genetic prediction of …
A generalized linear mixed model association tool for biobank-scale data
Compared with linear mixed model-based genome-wide association (GWA) methods,
generalized linear mixed model (GLMM)-based methods have better statistical properties …
generalized linear mixed model (GLMM)-based methods have better statistical properties …
Evaluation of polygenic prediction methodology within a reference-standardized framework
O Pain, KP Glanville, SP Hagenaars, S Selzam… - PLoS …, 2021 - journals.plos.org
The predictive utility of polygenic scores is increasing, and many polygenic scoring methods
are available, but it is unclear which method performs best. This study evaluates the …
are available, but it is unclear which method performs best. This study evaluates the …
Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts
Polygenic risk scores (PRSs) have been widely explored in precision medicine. However,
few studies have thoroughly investigated their best practices in global populations across …
few studies have thoroughly investigated their best practices in global populations across …
Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries
We develop a method, SBayesRC, that integrates genome-wide association study (GWAS)
summary statistics with functional genomic annotations to improve polygenic prediction of …
summary statistics with functional genomic annotations to improve polygenic prediction of …
Clinical utility of polygenic risk scores: a critical 2023 appraisal
S Koch, J Schmidtke, M Krawczak… - Journal of Community …, 2023 - Springer
Since their first appearance in the context of schizophrenia and bipolar disorder in 2009,
polygenic risk scores (PRSs) have been described for a large number of common complex …
polygenic risk scores (PRSs) have been described for a large number of common complex …
Research Review: A guide to computing and implementing polygenic scores in developmental research
AG Allegrini, JR Baldwin, W Barkhuizen… - Journal of Child …, 2022 - Wiley Online Library
The increasing availability of genotype data in longitudinal population‐and family‐based
samples provides opportunities for using polygenic scores (PGS) to study developmental …
samples provides opportunities for using polygenic scores (PGS) to study developmental …
Polygenic risk scores: An overview from bench to bedside for personalised medicine
B Cross, R Turner, M Pirmohamed - Frontiers in Genetics, 2022 - frontiersin.org
Since the first polygenic risk score (PRS) in 2007, research in this area has progressed
significantly. The increasing number of SNPs that have been identified by large scale GWAS …
significantly. The increasing number of SNPs that have been identified by large scale GWAS …
[HTML][HTML] Machine learning for prediction of schizophrenia using genetic and demographic factors in the UK biobank
Abstract Machine learning (ML) holds promise for precision psychiatry, but its predictive
performance is unclear. We assessed whether ML provided added value over logistic …
performance is unclear. We assessed whether ML provided added value over logistic …