Evidence map›Paper›PMID 33899735›Full record

ArticleeLife2021

A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease.

Qingyuan Zhao, Jingshu Wang, Zhen Miao, Nancy R Zhang, Sean Hennessy, Dylan S Small, Daniel J Rader

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
5.7field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Qingyuan ZhaoStatistical Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9902-2768
Jingshu WangDepartment of Statistics, University of Chicago, Chicago, United States.
Zhen MiaoPerelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0002-3255-9517
Nancy R ZhangDepartment of Statistics, University of Pennsylvania, Philadelphia, United States.
Sean HennessyPerelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Dylan S SmallDepartment of Statistics, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0003-4928-2646
Daniel J RaderPerelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
University of Pennsylvania · USUniversity of Cambridge · GBUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent genetic data can offer important insights into the roles of lipoprotein subfractions and particle sizes in preventing coronary artery disease (CAD), as previous observational studies have often reported conflicting results. We used the LD score regression to estimate the genetic correlation of 77 subfraction traits with traditional lipid profile and identified 27 traits that may represent distinct genetic mechanisms. We then used Mendelian randomization (MR) to estimate the causal effect of these traits on the risk of CAD. In univariable MR, the concentration and content of medium high-density lipoprotein (HDL) particles showed a protective effect against CAD. The effect was not attenuated in multivariable analyses. Multivariable MR analyses also found that small HDL particles and smaller mean HDL particle diameter may have a protective effect. We identified four genetic markers for HDL particle size and CAD. Further investigations are needed to fully understand the role of HDL particle size.

Indexed as

Polymorphism, Single NucleotideBiomarkersCoronary Artery DiseaseDatabases, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyHeart Disease Risk FactorsHumansLipoproteinsMendelian Randomization AnalysisParticle SizePhenotypeRisk AssessmentBiomarkersLipoproteinsbloodcardiocascular systemgeneticsgenomicshearthumanmedicine

Identifiers

PMID33899735
PMCPMC8163505
OpenAlexW3158565818

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.