Evidence map›Paper›PMID 37416935›Full record

ReviewAnnals of human genetics2023

Pitfalls of predicting age-related traits by polygenic risk scores.

Valentina Escott-Price, Karl Michael Schmidt

Open access · hybridAbstract readReview
In one paragraph

Review in Annals of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Genetic Burden andJournal of personalized medicine · 2026
    Article
  4. Age-dependent Genetic Risk in Pulmonary Fibrosis Patients and Relatives.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. PRS-ing Forward to Identify Genetic Risk in Idiopathic Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2023
    Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Valentina Escott-PriceCentre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-1784-5483
Karl Michael SchmidtSchool of Mathematics, Cardiff University, Cardiff, UK.ORCID 0000-0002-0227-3024
Cardiff University · GBUK Dementia Research Institute · GB

Funding

Medical Research Council MR/L010305/1Medical Research Council MR/L023784/2Medical Research Council MR/T033371/1Medical Research Council MR/T04604X/1Medical Research Council UKDRI-3003
6 · The paper itself

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.

Indexed as

Multifactorial InheritanceAgingAllergensGenome-Wide Association StudyHumansPhenotypeRisk FactorsAllergens

Identifiers

PMID37416935
PMCPMC10952323
OpenAlexW4383482212

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.