AUTHOR=St.-Pierre Julien , Zhang Xinyi , Lu Tianyuan , Jiang Lai , Loffree Xavier , Wang Linbo , Bhatnagar Sahir , Greenwood Celia M. T. ,  CANSSI team on Improving Robust High-Dimensional Causal Inference and Prediction Modelling 

TITLE=Considering strategies for SNP selection in genetic and polygenic risk scores

JOURNAL=Frontiers in Genetics

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.900595

DOI=10.3389/fgene.2022.900595

ISSN=1664-8021

ABSTRACT=Polygenic risk scores (PRS) are being increasingly discussed for clinical use, yet the best way to construct them is still actively debated. In this commentary, we present several case studies of the practical challenges associated with building PRS. We discuss ways of selecting single nucleotide polymorphisms (SNPs) for inclusion, and the potential for biased coefficients associated with these SNPs. By considering PRS from the point of view of a predictor that is measured with error, insight into its strengths and weaknesses may be obtained.