Evidence map›Paper›PMID 38185688›Full record

ArticleGenome medicine2024

Rare copy-number variants as modulators of common disease susceptibility.

Chiara Auwerx, Maarja Jõeloo, Marie C Sadler, Nicolò Tesio, Sven Ojavee, Charlie J Clark, Reedik Mägi, Estonian Biobank Research Team, Alexandre Reymond, Zoltán Kutalik

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
30.3field-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

35 citing papers in PubMed, 48 citations in OpenAlex.

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  15. Copy Number Variant Duplications Associated with Essential Tremor.Tremor and other hyperkinetic movements (New York, N.Y.) · 2026
    Article
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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 at 3 institutions in 2 countries.

Chiara AuwerxCenter for Integrative Genomics, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland. chiara.auwerx@unil.ch.ORCID 0000-0003-3613-8450
Maarja JõelooInstitute of Molecular and Cell Biology, University of Tartu, 51010, Tartu, Estonia.ORCID 0000-0002-4619-3229
Marie C SadlerDepartment of Computational Biology, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland.ORCID 0000-0002-2599-9207
Nicolò TesioCenter for Integrative Genomics, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland.ORCID 0000-0002-5359-1292
Sven OjaveeDepartment of Computational Biology, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland.ORCID 0000-0002-7433-7787
Charlie J ClarkCenter for Integrative Genomics, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland.ORCID 0000-0002-3989-9039
Reedik MägiEstonian Genome Centre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia.ORCID 0000-0002-2964-6011
Estonian Biobank Research Team
Alexandre Reymond *Center for Integrative Genomics, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland. alexandre.reymond@unil.ch.ORCID 0000-0003-1030-8327
Zoltán Kutalik *Department of Computational Biology, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland. zoltan.kutalik@unil.ch.ORCID 0000-0001-8285-7523
SIB Swiss Institute of Bioinformatics · CHUniversity of Lausanne · CHUniversity of Tartu · EE

Funding

Swiss National Science Foundation 310030_189147Swiss National Science Foundation 31003A_182632
6 · The paper itself

Abstract

backgroundCopy-number variations (CNVs) have been associated with rare and debilitating genomic disorders (GDs) but their impact on health later in life in the general population remains poorly described.

methodsAssessing four modes of CNV action, we performed genome-wide association scans (GWASs) between the copy-number of CNV-proxy probes and 60 curated ICD-10 based clinical diagnoses in 331,522 unrelated white British UK Biobank (UKBB) participants with replication in the Estonian Biobank.

resultsWe identified 73 signals involving 40 diseases, all of which indicating that CNVs increased disease risk and caused earlier onset. We estimated that 16% of these associations are indirect, acting by increasing body mass index (BMI). Signals mapped to 45 unique, non-overlapping regions, nine of which being linked to known GDs. Number and identity of genes affected by CNVs modulated their pathogenicity, with many associations being supported by colocalization with both common and rare single-nucleotide variant association signals. Dissection of association signals provided insights into the epidemiology of known gene-disease pairs (e.g., deletions in BRCA1 and LDLR increased risk for ovarian cancer and ischemic heart disease, respectively), clarified dosage mechanisms of action (e.g., both increased and decreased dosage of 17q12 impacted renal health), and identified putative causal genes (e.g., ABCC6 for kidney stones). Characterization of the pleiotropic pathological consequences of recurrent CNVs at 15q13, 16p13.11, 16p12.2, and 22q11.2 in adulthood indicated variable expressivity of these regions and the involvement of multiple genes. Finally, we show that while the total burden of rare CNVs-and especially deletions-strongly associated with disease risk, it only accounted for ~ 0.02% of the UKBB disease burden. These associations are mainly driven by CNVs at known GD CNV regions, whose pleiotropic effect on common diseases was broader than anticipated by our CNV-GWAS.

conclusionsOur results shed light on the prominent role of rare CNVs in determining common disease susceptibility within the general population and provide actionable insights for anticipating later-onset comorbidities in carriers of recurrent CNVs.

Indexed as

Genome-Wide Association StudyGenomicsBody Mass IndexDisease SusceptibilityHumans16p11.216p13.11CNVCommon diseasesGenomic disordersGWASPleiotropyStructural variationTime-to-event analysis

Identifiers

PMID38185688
PMCPMC10773105
OpenAlexW4390655821

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LicenceCC BY
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Registered trials

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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.