Exploring the predictive power of polygenic scores derived from genome-wide association studies: a study of 10 complex traits
Motivation It is hoped that advances in our knowledge in disease genomics will contribute to
personalized medicine such as individualized preventive strategies or early diagnoses of …
personalized medicine such as individualized preventive strategies or early diagnoses of …
SummaryAUC: a tool for evaluating the performance of polygenic risk prediction models in validation datasets with only summary level statistics
L Song, A Liu, J Shi… - …, 2019 - academic.oup.com
Motivation Polygenic risk score (PRS) methods based on genome-wide association studies
(GWAS) have a potential for predicting the risk of developing complex diseases and are …
(GWAS) have a potential for predicting the risk of developing complex diseases and are …
Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction
The accuracy of polygenic risk scores (PRSs) to predict complex diseases increases with the
training sample size. PRSs are generally derived based on summary statistics from large …
training sample size. PRSs are generally derived based on summary statistics from large …
Polygenic scores in biomedical research
Public health strategies aimed at disease prevention or early detection and intervention
have the potential to advance human health worldwide. However, their success depends on …
have the potential to advance human health worldwide. However, their success depends on …
Understanding polygenic models, their development and the potential application of polygenic scores in healthcare
CB de Villiers, M Kroese, S Moorthie - Journal of medical genetics, 2020 - jmg.bmj.com
The use of genomic information to better understand and prevent common complex
diseases has been an ongoing goal of genetic research. Over the past few years, research …
diseases has been an ongoing goal of genetic research. Over the past few years, research …
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 …
Winner's curse correction and variable thresholding improve performance of polygenic risk modeling based on genome-wide association study summary-level data
Recent heritability analyses have indicated that genome-wide association studies (GWAS)
have the potential to improve genetic risk prediction for complex diseases based on …
have the potential to improve genetic risk prediction for complex diseases based on …
XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis
Motivation As increasing sample sizes from genome-wide association studies (GWASs),
polygenic risk scores (PRSs) have shown great potential in personalized medicine with …
polygenic risk scores (PRSs) have shown great potential in personalized medicine with …
Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies
Genetic risk prediction is an important problem in human genetics, and accurate prediction
can facilitate disease prevention and treatment. Calculating polygenic risk score (PRS) has …
can facilitate disease prevention and treatment. Calculating polygenic risk score (PRS) has …
[HTML][HTML] Addressing the challenges of polygenic scores in human genetic research
The genotyping of millions of human samples has made it possible to evaluate variants
across the human genome for their possible association with risks for numerous diseases …
across the human genome for their possible association with risks for numerous diseases …