Evidence map›Paper›PMID 36013215›Full record

ArticleJournal of personalized medicine2022

The False Dawn of Polygenic Risk Scores for Human Disease Prediction.

Anthony F Herzig, Françoise Clerget-Darpoux, Emmanuelle Génin

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Polygenic risk scores: en route to clinical practice.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
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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

3 authors.

Anthony F HerzigInserm, Université de Brest, EFS, CHU Brest, UMR 1078, GGB, F-29200 Brest, France.
Françoise Clerget-DarpouxUniversité Paris Cité, Inserm, Institut Imagine, Laboratoire Embryologie et Génétique des Malformations, F-75015 Paris, France.
Emmanuelle GéninInserm, Université de Brest, EFS, CHU Brest, UMR 1078, GGB, F-29200 Brest, France.ORCID 0000-0003-4117-2813

Funding

French Ministry of Higher Education, Research and Innovation POPGEN PFMG2025Inserm GOLD cross-cutting project
6 · The paper itself

Abstract

Polygenic risk scores (PRSs) are being constructed for many diseases and are presented today as a promising avenue in the field of human genetics. These scores aim at predicting the risk of developing a disease by leveraging the many genome-wide association studies (GWAS) conducted during the two last decades. Important investments are being made to improve score estimates by increasing GWAS sample sizes, by developing more sophisticated methods, and by proposing different corrections for potential biases. PRSs have entered the market with direct-to-consumer companies proposing to compute them from saliva samples and even recently to help parents select the healthiest embryos. In this paper, we recall how PRSs arose and question the credit they are given by revisiting underlying assumptions in light of the history of human genetics and by comparing them with estimated breeding values (EBVs) used for selection in livestock.

Indexed as

associationcausationcorrelationpolygenic additive modelpolygenic risk score

Identifiers

PMID36013215
PMCPMC9409868

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.