Evidence map›Paper›PMID 37609230›Full record

ArticlemedRxiv : the preprint server for health sciences2023

A Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization.

Johanna L Smith, Catherine Tcheandjieu, Ozan Dikilitas, Kruthika Lyer, Kazuo Miyazawa, Austin Hilliard, Julie Lynch, Jerome I Rotter, Yii-Der Ida Chen, Wayne Huey-Herng Sheu and 9 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 8 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 12 institutions in 4 countries.

Johanna L SmithDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Catherine TcheandjieuDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Ozan DikilitasDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Kruthika LyerStanford University School of Medicine, Palo Alto, CA, USA.
Kazuo MiyazawaRiken Ctr. for Integrative Medical Sciences, Yokohama City, Japan.
Austin HilliardVA Palo Alto Health Care System, Palo Alto, CA, USA.
Julie LynchSalt Lake City VA Met CTR., Salt Lake City, UT, USA.
Jerome I RotterInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Yii-Der Ida ChenInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Wayne Huey-Herng SheuInstitute of Molecular and Genomic Medicine, National Health Research Institutes, Taiwan.
Kyong-Mi ChangCorporal Michael J Crescenz VA Medical Ctr. Philadelphia, PA, USA.
Stavroula KanoniQueen Mary University of London, Cambridge, UK.
Phil TsaoVA Palo Alto Health Care System, Palo Alto, CA, USA.
Kaoru ItoRiken Ctr. for Integrative Medical Sciences, Yokohama City, Japan.
Matthew KoselDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Shoa L ClarkeVA Palo Alto Health Care System, Palo Alto, CA, USA.
Daniel J SchaidDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Themistocles L AssimesStanford University, Stanford, CA, USA.
Iftikhar J KulloDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · USMayo Clinic in Florida · USPalo Alto University · USRIKEN Center for Integrative Medical Sciences · JPUCLA Medical Center · USVA Palo Alto Health Care System · USGladstone Institutes · USNational Health Research Institutes · TWPhiladelphia VA Medical Center · USQueen Mary University of London · GBStanford University · USVA Salt Lake City Healthcare System · US

Funding

The Clinical Genome Resource – Advancing genomic medicine through biocuration and expert assessment of genes and variants at scaleU24HG009650 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JONATHAN S BERG, Jessica Ezzell Hunter · 2021 to 2026
$30.0M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
The Clinical Genome Resource - Expert Curation and EHR IntegrationU41HG009650 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S · 2017 to 2020
$13.3M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Whole-genome sequencing analysis of coronary atherosclerosis and related traitsR01HL146860 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DE VRIES, PAUL STEFAN · 2020 to 2024
$3.9M
TOPMed Omics of Type 2 Diabetes and Quantitative TraitsUM1DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MANNING, ALISA KNODLE · 2021 to 2025
$3.8M
TOPMed Omics of Cardiovascular Disease in DiabetesR01HL151855 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2020 to 2023
$3.3M
Polygenic Risk of Disease in Populations of Diverse AncestryU01HG011710 · NHGRI · MAYO CLINIC ROCHESTER · PI SCHAID, DANIEL J. · 2021 to 2025
$3.2M
Quantitative Methods for Genetic EpidemiologyR35GM140487 · NIGMS · MAYO CLINIC ROCHESTER · PI SCHAID, DANIEL J. · 2021 to 2025
$1.9M
Patient-Oriented Research in Genomic Discovery and ImplementationK24HL137010 · NHLBI · MAYO CLINIC ROCHESTER · PI KULLO, IFTIKHAR J · 2017 to 2021
$590k
NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG011710NHGRI NIH HHS U24 HG009650NHGRI NIH HHS U41 HG009650NHLBI NIH HHS K24 HL137010NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL146860NHLBI NIH HHS R01 HL151855NIDDK NIH HHS UM1 DK078616NIGMS NIH HHS R35 GM140487
6 · The paper itself

Abstract

Background: Predictive performance of polygenic risk scores (PRS) varies across populations. To facilitate equitable clinical use, we developed PRS for coronary heart disease (PRS Methods: We derived ancestry-specific and multi-ancestry PRS Results: Multi-ancestry PRS Conclusions: Utilizing diverse summary statistics from a large multi-ancestry genome-wide meta-analysis led to improved performance of PRS

Identifiers

PMID37609230
PMCPMC10441485
OpenAlexW4379518429

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.