Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Pitfalls of predicting age related traits by polygenic risk scores

Escott-Price, Valentina ORCID: https://orcid.org/0000-0003-1784-5483 and Schmidt, Karl Michael ORCID: https://orcid.org/0000-0002-0227-3024 2023. Pitfalls of predicting age related traits by polygenic risk scores. Annals of Human Genetics 87 (5) , pp. 203-209. 10.1111/ahg.12520

[thumbnail of Annals of Human Genetics - 2023 - Escott‐Price - Pitfalls of predicting age‐related traits by polygenic risk scores.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (233kB) | Preview

Abstract

Polygenic risk scores (PRS) are a method increasingly used to capture the combined effect of genome-wide significant variants and those which individually do not show genome-wide significant association but are likely to contribute to the risk of developing diseases. However, their practical use incurs complications and inconsistencies that so far limit their clinical applicability. The aims of the present review are to discuss the PRS for age-related diseases and to highlight pitfalls and limitations of PRS prediction accuracy due to ageing and mortality effects. We argue that the PRS is widely used but the individual's PRS values differ substantially depending on the number of genetic variants included, the discovery GWAS and the method employed to generate them. Moreover, for neurodegenerative disorders, although an individual's genetics do not change with age, the actual score depends on the age of the sample used in the discovery GWAS and is likely to reflect the individual's disease risk at this particular age. Improvement of PRS prediction accuracy for neurodegenerative disorders will come from two sides, both the precision of clinical diagnoses, and a careful attention to the age distribution in the underlying samples and validation of the prediction in longitudinal studies.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Advanced Research Computing @ Cardiff (ARCCA)
MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Mathematics
Medicine
Publisher: Wiley
ISSN: 0003-4800
Date of First Compliant Deposit: 22 June 2023
Date of Acceptance: 21 June 2023
Last Modified: 10 Jun 2024 08:27
URI: https://orca.cardiff.ac.uk/id/eprint/160515

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics