Evidence map›Paper›PMID 37214096›Full record

ArticlePeerJ2023

Assessment of multi-population polygenic risk scores for lipid traits in African Americans.

Domenica E Drouet, Shiying Liu, Dana C Crawford

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 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, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Domenica E DrouetDepartment of Medicine, Case Western Reserve University, Cleveland, OH, United States of America.
Shiying LiuPopulation and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America.
Dana C CrawfordPopulation and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America.
Case Western Reserve University · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)U01HG004798 · NHGRI · VANDERBILT UNIVERSITY · PI CRAWFORD, DANA C · 2008 to 2013
$8.8M
Short term heart, lung, blood research opportunitiesR25HL103152 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI MONTANO, MONICA · 2010 to 2024
$2.3M
NCATS NIH HHS UL1 TR000439NHGRI NIH HHS U01 HG004798NHLBI NIH HHS R25 HL103152
6 · The paper itself

Abstract

Polygenic risk scores (PRS) based on genome-wide discoveries are promising predictors or classifiers of disease development, severity, and/or progression for common clinical outcomes. A major limitation of most risk scores is the paucity of genome-wide discoveries in diverse populations, prompting an emphasis to generate these needed data for trans-population and population-specific PRS construction. Given diverse genome-wide discoveries are just now being completed, there has been little opportunity for PRS to be evaluated in diverse populations independent from the discovery efforts. To fill this gap, we leverage here summary data from a recent genome-wide discovery study of lipid traits (HDL-C, LDL-C, triglycerides, and total cholesterol) conducted in diverse populations represented by African Americans, Hispanics, Asians, Native Hawaiians, Native Americans, and others by the Population Architecture using Genomics and Epidemiology (PAGE) Study. We constructed lipid trait PRS using PAGE Study published genetic variants and weights in an independent African American adult patient population linked to de-identified electronic health records and genotypes from the Illumina Metabochip (

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2AdultBlack or African AmericanCholesterol, LDLGenome-Wide Association StudyHumansRisk FactorsCholesterol, LDLAfrican AmericansBiorepositoryElectronic health recordsGenetic risk scoresLipidsMetabochipPolygenic risk scores

Identifiers

PMID37214096
PMCPMC10198155
OpenAlexW4376644595

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.