Evidence map›Paper›PMID 42443945›Full record

ReviewGenome biology2026

Evidence standards for multi-ancestry polygenic prediction.

Blessing Oselu, Itunuoluwa Isewon, Jelili Oyelade, Conrad O Iyegbe

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Blessing OseluDepartment of Computer and Information Sciences, Covenant University, P.M.B 1023, Ota, Ogun State, Nigeria.
Itunuoluwa IsewonDepartment of Computer and Information Sciences, Covenant University, P.M.B 1023, Ota, Ogun State, Nigeria.
Jelili OyeladeDepartment of Computer and Information Sciences, Covenant University, P.M.B 1023, Ota, Ogun State, Nigeria.
Conrad O IyegbeDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai Hospital, New York, USA. conrad.iyegbe@mssm.edu.

Funding

BridgePRS: bridging the gap in polygenic risk scores between ancestries.R01HG012773 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Paul Francis O'Reilly · 2023 to 2026
$2.6M
3/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124839 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDREASSEN, OLE A, HUCKINS, LAURA MARIANNE · 2021 to 2025
$2.0M
NHGRI NIH HHS R01 HG012773NHGRI NIH HHS R01HG012773NIMH NIH HHS MH124839NIMH NIH HHS R01 MH124839
6 · The paper itself

Abstract

Polygenic scores (PGS) are prospective tools for health screening, prevention and trials, but most are trained in European genome-wide association studies and lose accuracy and calibration in non-European populations and those of mixed ancestral heritage. Multi-ancestry methods are proliferating, yet benchmarking standards lag. This review focuses on benchmark design for cross-population prediction. We show how ancestry assignment, linkage disequilibrium references, variant sets, tuning and trait architecture shape apparent performance. We propose a scorecard spanning discrimination, calibration, equity gaps and compute cost, plus stress tests in diverse cohorts and realistic simulations. Finally. we outline a future vision of living, auditable benchmarking frameworks.

Indexed as

Genome-Wide Association StudyMultifactorial InheritanceGenetic Risk ScoreHumansLinkage DisequilibriumPrediction Algorithms

Identifiers

PMID42443945
PMCPMC13644127

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.