Evidence map›Paper›PMID 35174364›Full record

ArticleEuropean heart journal open2022

Intersecting single-cell transcriptomics and genome-wide association studies identifies crucial cell populations and candidate genes for atherosclerosis.

Lotte Slenders, Lennart P L Landsmeer, Kai Cui, Marie A C Depuydt, Maarten Verwer, Joost Mekke, Nathalie Timmerman, Noortje A M van den Dungen, Johan Kuiper, Menno P J de Winther and 13 more

Abstract read
In one paragraph

Article in European heart journal open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

23 authors.

Lotte SlendersCentral Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-3794-7604
Lennart P L LandsmeerCentral Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-0010-7249
Kai CuiCentral Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-6460-284X
Marie A C DepuydtDivision of BioTherapeutics, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-7174-1952
Maarten VerwerDepartment of Vascular Surgery, University Medical Centre Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-3238-9706
Joost MekkeDepartment of Vascular Surgery, University Medical Centre Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-1833-4458
Nathalie TimmermanDepartment of Vascular Surgery, University Medical Centre Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.
Noortje A M van den DungenCentral Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.
Johan KuiperDepartment of Medical Biochemistry, Amsterdam University Medical Centers-Location AMC, University of Amsterdam, Experimental Vascular Biology, Amsterdam Cardiovascular Sciences, Meibergdreef 9, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-5834-690X
Menno P J de WintherDivision of BioTherapeutics, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.
Koen H M PrangeDepartment of Medical Biochemistry, Amsterdam University Medical Centers-Location AMC, University of Amsterdam, Experimental Vascular Biology, Amsterdam Cardiovascular Sciences, Meibergdreef 9, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9835-1735
Wei Feng MaMedical Scientist Training Program, University of Virginia, 200 Jeanette Lancaster Way, Charlottesville, VA 22908, USA.ORCID https://orcid.org/0000-0002-2177-1387
Clint L MillerCenter for Public Health Genomics, University of Virginia, West Complex, 1335 Lee St, Charlottesville, VA 22908, USA.ORCID https://orcid.org/0000-0003-4276-3607
Redouane AherrahrouCenter for Public Health Genomics, University of Virginia, West Complex, 1335 Lee St, Charlottesville, VA 22908, USA.ORCID https://orcid.org/0000-0001-8148-9554
Mete CivelekCenter for Public Health Genomics, University of Virginia, West Complex, 1335 Lee St, Charlottesville, VA 22908, USA.ORCID https://orcid.org/0000-0002-8141-0284
Gert J de BorstDepartment of Vascular Surgery, University Medical Centre Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.
Dominique P V de KleijnDepartment of Vascular Surgery, University Medical Centre Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.
Folkert W AsselbergsLaboratory of Experimental Cardiology, Department of Cardiology, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, Utrecht 3508 GA, The Netherlands.ORCID https://orcid.org/0000-0002-1692-8669
Hester M den RuijterLaboratory of Experimental Cardiology, Department of Cardiology, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, Utrecht 3508 GA, The Netherlands.ORCID https://orcid.org/0000-0001-9762-014X
Arjan BoltjesCentral Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-6338-051X
Gerard PasterkampCentral Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.ORCID https://orcid.org/0000-0001-5345-1022
Sander W van der LaanCentral Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.ORCID https://orcid.org/0000-0001-6888-1404
Michal MokryCentral Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-5298-4852

Funding

Multimodal genetic regulatory architecture of coronary artery diseaseR01HL148239 · NHLBI · UNIVERSITY OF VIRGINIA · PI Clint L Miller · 2019 to 2026
$4.2M
EPISTATIC REGULATORY MECHANISMS OF CORONARY HEART DISEASE RISKR00HL125912 · NHLBI · UNIVERSITY OF VIRGINIA · PI MILLER, CLINT L · 2017 to 2019
$747k
NHLBI NIH HHS R00 HL125912NHLBI NIH HHS R01 HL148239
6 · The paper itself

Abstract

aimsGenome-wide association studies (GWASs) have discovered hundreds of common genetic variants for atherosclerotic disease and cardiovascular risk factors. The translation of susceptibility loci into biological mechanisms and targets for drug discovery remains challenging. Intersecting genetic and gene expression data has led to the identification of candidate genes. However, previously studied tissues are often non-diseased and heterogeneous in cell composition, hindering accurate candidate prioritization. Therefore, we analysed single-cell transcriptomics from atherosclerotic plaques for cell-type-specific expression to identify atherosclerosis-associated candidate gene-cell pairs. METHODS AND

resultsWe applied gene-based analyses using GWAS summary statistics from 46 atherosclerotic and cardiovascular disease, risk factors, and other traits. We then intersected these candidates with single-cell RNA sequencing (scRNA-seq) data to identify genes specific for individual cell (sub)populations in atherosclerotic plaques. The coronary artery disease (CAD) loci demonstrated a prominent signal in plaque smooth muscle cells (SMCs) (

conclusionWe discovered novel and known gene-cell pairs pointing to new biological mechanisms of atherosclerotic disease. We highlight that loci associated with CAD reveal prominent association levels in mainly plaque SMC and EC populations. We present an intuitive single-cell transcriptomics-driven workflow rooted in human large-scale genetic studies to identify putative candidate genes and affected cells associated with cardiovascular traits. Collectively, our workflow allows for the identification of cell-specific targets relevant for atherosclerosis and can be universally applied to other complex genetic diseases and traits.

Indexed as

AtherosclerosisCardiovascular diseaseGenome-wide association studySingle-cell analysis

Identifiers

PMID35174364
PMCPMC8841481

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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.