Article, 2024

Towards fair and clinically relevant polygenic predictions

Trends in Genetics, ISSN 0168-9525, 1362-4555, Volume 40, 5, Pages 379-380, 10.1016/j.tig.2024.04.002

Contributors

Vilhjálmsson, Bjarni Jóhann 0000-0003-2277-9249 (Corresponding author) [1] [2]

Affiliations

  1. [1] Aarhus University
  2. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Broad Institute
  4. [NORA names: United States; America, North; OECD]

Abstract

Lennon et al. recently proposed a clinical polygenic score (PGS) pipeline as part of the Electronic Medical Records and Genomics (eMERGE) network initiative. In this spotlight article we discuss the broader context for the use of PGS in preventive medicine and highlight key limitations and challenges facing their inclusion in prediction models.

Keywords

clinic, context, electron, electronic medical records, emergency, inclusion, initiation, limitations, medical records, medicine, model, network, network initialization, polygenic prediction, polygenic scores, prediction, prediction model, preventive medicine, records, scores

Funders

  • Danish Agency for Science and Higher Education
  • Lundbeck Foundation
  • Novo Nordisk Foundation

Data Provider: Digital Science