Evidence map›Paper›PMID 35896674›Full record

ArticleScientific reports2022

Assessing agreement between different polygenic risk scores in the UK Biobank.

Lei Clifton, Jennifer A Collister, Xiaonan Liu, Thomas J Littlejohns, David J Hunter

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.5field-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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  12. Polygenic scores in cancer.Nature reviews. Cancer · 2023
    Review
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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

5 authors at 2 institutions in 2 countries.

Lei CliftonNuffield Department of Population Health, University of Oxford, Oxford, UK. lei.clifton@ndph.ox.ac.uk.ORCID 0000-0001-5595-8468
Jennifer A CollisterNuffield Department of Population Health, University of Oxford, Oxford, UK.
Xiaonan LiuNuffield Department of Population Health, University of Oxford, Oxford, UK.
Thomas J LittlejohnsNuffield Department of Population Health, University of Oxford, Oxford, UK.
David J HunterNuffield Department of Population Health, University of Oxford, Oxford, UK.
University of Oxford · GBHarvard University · US

Funding

British Heart FoundationCancer Research UK 29186Cancer Research UK C16077/A29186Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Wellcome Trust
6 · The paper itself

Abstract

Polygenic risk scores (PRS) are proposed for use in clinical and research settings for risk stratification. However, there are limited investigations on how different PRS diverge from each other in risk prediction of individuals. We compared two recently published PRS for each of three conditions, breast cancer, hypertension and dementia, to assess the stability of using these algorithms for risk prediction in a single large population. We used imputed genotyping data from the UK Biobank prospective cohort, limited to the White British subset. We found that: (1) 20% or more of SNPs in the first PRS were not represented in the more recent PRS for all three diseases, by the same SNP or a surrogate with R

Indexed as

Genome-Wide Association StudyMultifactorial InheritanceBiological Specimen BanksGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideProspective StudiesRisk FactorsUnited Kingdom

Identifiers

PMID35896674
PMCPMC9329440
OpenAlexW4288751809

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.