An alternative method of SNP inclusion to develop a generalized polygenic risk score analysis across Alzheimer's disease cohorts.

Journal: Frontiers in dementia
Published Date: Jul 31, 2023

Abstract

INTRODUCTION: Polygenic risk scores (PRSs) have great clinical potential for detecting late-onset diseases such as Alzheimer's disease (AD), allowing the identification of those most at risk years before the symptoms present. Although many studies use various and complicated machine learning algorithms to determine the best discriminatory values for PRSs, few studies look at the commonality of the Single Nucleotide Polymorphisms (SNPs) utilized in these models.

Authors

  • Keeley J Brookes
    Interdisciplinary Biomedical Research Centre, Biosciences, Clifton Campus, Nottingham Trent University, Nottingham, United Kingdom.
  • Tamar Guetta-Baranes
    Human Genetics, Life Sciences, University Park, University of Nottingham, Nottingham, United Kingdom.
  • Alan Thomas
    Brains for Dementia Research Coordinating Centre, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Kevin Morgan
    Human Genetics, Life Sciences, University Park, University of Nottingham, Nottingham, United Kingdom.

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