Evidence map›Paper›PMID 38779854›Full record

ArticleArteriosclerosis, thrombosis, and vascular biology2024

Influence of Polygenic Background on the Clinical Presentation of Familial Hypercholesterolemia.

Mark Trinder, Lubomira Cermakova, Isabelle Ruel, Alexis Baass, Martine Paquette, Jian Wang, Brooke A Kennedy, Robert A Hegele, Jacques Genest, Liam R Brunham

Abstract read
In one paragraph

Article in Arteriosclerosis, thrombosis, and vascular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
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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

10 authors.

Mark TrinderCentre for Heart Lung Innovation, University of British Columbia and St. Paul's Hospital, Vancouver, Canada (M.T., L.C., L.R.B.).ORCID 0000-0001-8447-2897
Lubomira CermakovaCentre for Heart Lung Innovation, University of British Columbia and St. Paul's Hospital, Vancouver, Canada (M.T., L.C., L.R.B.).
Isabelle RuelResearch Institute of the McGill University Health Centre, Montreal, Canada (I.R., J.G.).ORCID 0000-0002-9491-8028
Alexis BaassMontreal Clinical Research Institute, Canada (A.B., M.P.).ORCID 0000-0001-9534-1657
Martine PaquetteMontreal Clinical Research Institute, Canada (A.B., M.P.).ORCID 0000-0002-7555-1275
Jian WangDepartments of Medicine and Biochemistry, Schulich School of Medicine and Robarts Research Institute, Western University, London, Canada (J.W., B.A.K., R.A.H.).ORCID 0000-0002-6759-0522
Brooke A KennedyDepartments of Medicine and Biochemistry, Schulich School of Medicine and Robarts Research Institute, Western University, London, Canada (J.W., B.A.K., R.A.H.).
Robert A HegeleDepartments of Medicine and Biochemistry, Schulich School of Medicine and Robarts Research Institute, Western University, London, Canada (J.W., B.A.K., R.A.H.).ORCID 0000-0003-2861-5325
Jacques GenestResearch Institute of the McGill University Health Centre, Montreal, Canada (I.R., J.G.).ORCID 0000-0003-2248-9663
Liam R BrunhamCentre for Heart Lung Innovation, University of British Columbia and St. Paul's Hospital, Vancouver, Canada (M.T., L.C., L.R.B.).ORCID 0000-0002-3686-3807

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeterozygous familial hypercholesterolemia (FH) is among the most common genetic conditions worldwide that affects ≈ 1 in 300 individuals. FH is characterized by increased levels of low-density lipoprotein cholesterol (LDL-C) and increased risk of coronary artery disease (CAD), but there is a wide spectrum of severity within the FH population. This variability in expression is incompletely explained by known risk factors. We hypothesized that genome-wide genetic influences, as represented by polygenic risk scores (PRSs) for cardiometabolic traits, would influence the phenotypic severity of FH.

methodsWe studied individuals with clinically diagnosed FH (n=1123) from the FH Canada National Registry, as well as individuals with genetically identified FH from the UK Biobank (n=723). For all individuals, we used genome-wide gene array data to calculate PRSs for CAD, LDL-C, lipoprotein(a), and other cardiometabolic traits. We compared the distribution of PRSs in individuals with clinically diagnosed FH, genetically diagnosed FH, and non-FH controls and examined the association of the PRSs with the risk of atherosclerotic cardiovascular disease.

resultsIndividuals with clinically diagnosed FH had higher levels of LDL-C, and the incidence of atherosclerotic cardiovascular disease was higher in individuals with clinically diagnosed compared with genetically identified FH. Individuals with clinically diagnosed FH displayed enrichment for higher PRSs for CAD, LDL-C, and lipoprotein(a) but not for other cardiometabolic risk factors. The CAD PRS was associated with a risk of atherosclerotic cardiovascular disease among individuals with an FH-causing genetic variant.

conclusionsGenetic background, as expressed by genome-wide PRSs for CAD, LDL-C, and lipoprotein(a), influences the phenotypic severity of FH, expanding our understanding of the determinants that contribute to the variable expressivity of FH. A PRS for CAD may aid in risk prediction among individuals with FH.

Indexed as

Cholesterol, LDLCoronary Artery DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHyperlipoproteinemia Type IILipoprotein(a)Multifactorial InheritancePhenotypeRegistriesAdultAgedBiomarkersCanadaCase-Control StudiesFemaleHumansBiomarkersCholesterol, LDLLipoprotein(a)LPA protein, humanbiological specimen bankscardiovascular diseasescholesterol, LDLcoronary artery diseasegenetic risk score

Identifiers

PMID38779854
PMCPMC11208056

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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.