Evidence map›Paper›PMID 28795686›Full record

ReviewNature reviews. Cardiology2018

HDL and atherosclerotic cardiovascular disease: genetic insights into complex biology.

Robert S Rosenson, H Bryan Brewer, Philip J Barter, Johan L M Björkegren, M John Chapman, Daniel Gaudet, Daniel Seung Kim, Eric Niesor, Kerry-Anne Rye, Frank M Sacks and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 5 pooled it
13.2field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 5 syntheses or guidelines pooled it, 144 citations in OpenAlex.

  1. Context-Dependent Associations of theInternational journal of molecular sciences · 2026
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  7. Journal of clinical medicine · 2026
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3 more citing papers are in PubMed but not listed here.

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

12 authors at 10 institutions in 4 countries.

Robert S RosensonCardiometabolics Unit, Icahn School of Medicine at Mount Sinai, Hospital Box 1030, One Gustave L. Levy Place, New York, New York 10029, USA.
H Bryan BrewerMedstar Heart and Vascular Institute, Washington Hospital Center, 110 Irving Street NW, Washington, DC 20010, USA.
Philip J BarterSchool of Medical Sciences, Faculty of Medicine, Level 4E, Wallace Wurth Building, University of New South Wales Sydney, 18 High Street, Sydney, Kensington New South Wales 2052, Australia.
Johan L M BjörkegrenDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, New York 10029, USA.
M John ChapmanNational Institute for Health and Medical Research (INSERM) and Endocrinology Metabolism Service, Pitie-Salpetriere University Hospital, 83 Boulevard de l'Hôpital, 75651 Paris, France.
Daniel GaudetLipidology Unit, Community Genomic Medicine Centre and ECOGENE-21, Department of Medicine, Université de Montréal, 930 Jacques-Cartier, Saguenay, Québec G7H 7K9, Canada.
Daniel Seung KimUniversity of Michigan School of Public Health, M4045 SPH II, 1415 Washington Heights, Ann Arbor, Michigan 48109-2029, USA.
Eric NiesorHartis-Pharma Sàrl, 13c Chemin de Bonmont, 1260 Nyon, Switzerland.
Kerry-Anne RyeSchool of Medical Sciences, Faculty of Medicine, Level 4E, Wallace Wurth Building, University of New South Wales Sydney, 18 High Street, Sydney, Kensington New South Wales 2052, Australia.
Frank M SacksNutrition Department, Harvard T. H. Chan School of Public Health, 665 Huntington Avenue, Boston, Massachusetts 02478, USA.
Jean-Claude TardifMontreal Heart Institute, Université de Montréal, 5000 Belanger Street, Montréal, Québec H1T 1C8, Canada.
Robert A HegeleDepartment of Medicine and Robarts Research Institute, Western University, 4288A-1151 Richmond Street North, London, Ontario N6A 5B7, Canada.
UNSW Sydney · AUHarvard University · USIcahn School of Medicine at Mount Sinai · USInserm · FRMedStar Washington Hospital Center · USMontreal Heart Institute · CAMount Sinai Hospital · USUniversité de Montréal · CAUniversity of Michigan · USWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasma levels of HDL cholesterol (HDL-C) predict the risk of cardiovascular disease at the epidemiological level, but a direct causal role for HDL in cardiovascular disease remains controversial. Studies in animal models and humans with rare monogenic disorders link only particular HDL-associated mechanisms with causality, including those mechanisms related to particle functionality rather than cholesterol content. Mendelian randomization studies indicate that most genetic variants that affect a range of pathways that increase plasma HDL-C levels are not usually associated with reduced risk of cardiovascular disease, with some exceptions, such as cholesteryl ester transfer protein variants. Furthermore, only a fraction of HDL-C variation has been explained by known loci from genome-wide association studies (GWAS), suggesting the existence of additional pathways and targets. Systems genetics can enhance our understanding of the spectrum of HDL pathways, particularly those pathways that involve new and non-obvious GWAS loci. Bioinformatic approaches can also define new molecular interactions inferred from both large-scale genotypic data and RNA sequencing data to reveal biologically meaningful gene modules and networks governing HDL metabolism with direct relevance to disease end points. Targeting these newly recognized causal networks might inform the development of novel therapeutic strategies to reduce the risk of cardiovascular disease.

Indexed as

Genetic Predisposition to DiseaseAnimalsCholesterol, HDLCoronary Artery DiseaseDisease Models, AnimalHumansCholesterol, HDL

Identifiers

PMID28795686
OpenAlexW2744658081

What Socratic holds

Textmetadata
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 Socratic graph.