Evidence map›Paper›PMID 42616641›Full record

ArticleSTAR protocols2026

Protocol for leveraging local ancestry and cross-ancestry genetic architecture to improve polygenic prediction in admixed populations.

Geyu Zhou, Israel Yolou, Yuhan Xie, Hongyu Zhao

Abstract read
In one paragraph

Article in STAR protocols, 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.

Geyu ZhouDepartment of Biostatistics, Yale University, New Haven, CT, USA; Department of Biological Sciences, Purdue University, West Lafayette, IN, USA; Department of Statistics, Purdue University, West Lafayette, IN, USA. Electronic address: zhou1633@purdue.edu.
Israel YolouDepartment of Biostatistics, Yale University, New Haven, CT, USA.
Yuhan XieDepartment of Biostatistics, Yale University, New Haven, CT, USA.
Hongyu ZhaoDepartment of Biostatistics, Yale University, New Haven, CT, USA. Electronic address: hongyu.zhao@yale.edu.

Funding

Statistical Methods for Genetic Risk Predictions across Diverse PopulationsR01HG012735 · NHGRI · YALE UNIVERSITY · PI ZHAO, HONGYU · 2022 to 2025
$2.4M
NHGRI NIH HHS R01 HG012735
6 · The paper itself

Abstract

Polygenic prediction is often less accurate in admixed populations due to limited representation in training data. Here, we present a protocol for building a polygenic prediction model using admixed populations from the All of Us program. We describe steps for variant extraction, phasing, local ancestry inference, and construction of polygenic risk score. This protocol may also serve as a useful reference for researchers aiming to conduct large-scale analysis in the All of Us Research Workbench cost-effectively. For complete details on the use and execution of the protocol, please refer to Zhou et al.

Indexed as

BioinformaticsGeneticsGenomicsSequence analysis

Identifiers

PMID42616641
PMCPMC13519633

What OpenQuestion holds

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Registered trials

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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.