Evidence map›Paper›PMID 36914805›Full record

ArticleNature human behaviour2023

Rank concordance of polygenic indices.

Dilnoza Muslimova, Rita Dias Pereira, Stephanie von Hinke, Hans van Kippersluis, Cornelius A Rietveld, S Fleur W Meddens

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. En route to conquer the silent killer "hypertension": Integration of polygenic risk score with non-genetic determinants.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    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

6 authors at 2 institutions in 2 countries.

Dilnoza MuslimovaErasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands. muslimova@ese.eur.nl.ORCID http://orcid.org/0000-0003-4917-1663
Rita Dias PereiraErasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Stephanie von HinkeTinbergen Institute, Amsterdam, the Netherlands.
Hans van KippersluisErasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Cornelius A RietveldErasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands.ORCID http://orcid.org/0000-0003-4053-1861
S Fleur W MeddensErasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Tinbergen Institute · NLCentraal Bureau voor de Statistiek · NL

Funding

Identifying gene-by-environment interplay in health behaviorR56AG058726 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GALAMA, TITUS JOHANNES · 2020 to 2020
$842k
NIA NIH HHS R56 AG058726
6 · The paper itself

Abstract

Polygenic indices (PGIs) are increasingly used to identify individuals at risk of developing disease and are advocated as screening tools for personalized medicine and education. Here we empirically assess rank concordance between PGIs created with different construction methods and discovery samples, focusing on cardiovascular disease and educational attainment. We find Spearman rank correlations between 0.17 and 0.93 for cardiovascular disease, and 0.40 and 0.83 for educational attainment, indicating highly unstable rankings across different PGIs for the same trait. Potential consequences for personalized medicine and gene-environment (G × E) interplay are illustrated using data from the UK Biobank. Simulations show how rank discordance mainly derives from a limited discovery sample size and reveal a tight link between the explained variance of a PGI and its ranking precision. We conclude that PGI-based ranking is highly dependent on PGI choice, such that current PGIs do not have the desired precision to be used routinely for personalized intervention.

Indexed as

Cardiovascular DiseasesMultifactorial InheritanceHumans

Identifiers

PMID36914805
OpenAlexW4324130414

What OpenQuestion holds

Textmetadata
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.