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Polygenic risk score prediction accuracy convergence [PDF]
Summary: Polygenic risk scores (PRSs) models trained from genome-wide association study (GWAS) results are set to play a pivotal role in biomedical research addressing multifactorial human diseases.
Léo Henches +16 more
doaj +7 more sources
Polygenic Risk Score Prediction for Endometriosis [PDF]
Endometriosis is a major health care challenge because many young women with endometriosis go undetected for an extended period, which may lead to pain sensitization.
Kirstine Kloeve-Mogensen +15 more
doaj +8 more sources
Performance of polygenic scores for predicting phobic anxiety. [PDF]
Anxiety disorders are common, with a lifetime prevalence of 20% in the U.S., and are responsible for substantial burdens of disability, missed work days and health care utilization.
Stefan Walter +9 more
doaj +6 more sources
Polygenic risk score for type 2 diabetes shows context-dependent effects across populations [PDF]
Polygenic risk scores hold prognostic value for identifying individuals at higher risk of type 2 diabetes. However, further characterization is needed to understand the generalizability of type 2 diabetes polygenic risk scores in diverse populations ...
Boya Guo +72 more
doaj +2 more sources
ApplyPolygenicScore: An R package for applying polygenic risk score models [PDF]
Purpose: A polygenic score (PGS) predicts an individual’s genetic predisposition to a complex trait. A PGS is created by estimating the relative contributions of multiple common variants to the overall trait, creating a polygenic risk model (PGM).
Nicole Zeltser +5 more
doaj +2 more sources
Statistical genetics and polygenic risk score for precision medicine [PDF]
The prediction of disease risks is an essential part of personalized medicine, which includes early disease detection, prevention, and intervention. The polygenic risk score (PRS) has become the standard for quantifying genetic liability in predicting ...
Takahiro Konuma, Yukinori Okada
doaj +2 more sources
Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical Applications
The high prevalence of Alzheimer’s disease (AD) among the elderly population and its lack of effective treatments make this disease a critical threat to human health.
Xiaopu Zhou +9 more
doaj +1 more source
Development of risk prediction models for depression combining genetic and early life risk factors
BackgroundBoth genetic and early life risk factors play important roles in the pathogenesis and progression of adult depression. However, the interplay between these risk factors and their added value to risk prediction models have not been fully ...
Tianyuan Lu +6 more
doaj +1 more source
Calculating Polygenic Risk Scores (PRS) in UK Biobank: A Practical Guide for Epidemiologists
A polygenic risk score estimates the genetic risk of an individual for some disease or trait, calculated by aggregating the effect of many common variants associated with the condition.
Jennifer A. Collister +2 more
doaj +1 more source
Objective To clarify the performance of polygenic risk scores in population screening, individual risk prediction, and population risk stratification.Design Secondary analysis of data in the Polygenic Score Catalog.Setting Polygenic Score Catalog, April ...
Harry Hemingway +10 more
doaj +1 more source

