Evidence map›Paper›PMID 36706759›Full record

ArticleAmerican journal of human genetics2023

The impact of 22q11.2 copy-number variants on human traits in the general population.

Malú Zamariolli, Chiara Auwerx, Marie C Sadler, Adriaan van der Graaf, Kaido Lepik, Tabea Schoeler, Mariana Moysés-Oliveira, Anelisa G Dantas, Maria Isabel Melaragno, Zoltán Kutalik

Open access · hybridAbstract read
In one paragraph

Article in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Malú ZamariolliGenetics Division, Universidade Federal de São Paulo, São Paulo, Brazil; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Chiara AuwerxDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland; Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Marie C SadlerDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Adriaan van der GraafDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Kaido LepikDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Tabea SchoelerDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland; Department of Clinical, Educational and Health Psychology, University College London, London, UK.
Mariana Moysés-OliveiraSleep Institute, São Paulo, Brazil.
Anelisa G DantasGenetics Division, Universidade Federal de São Paulo, São Paulo, Brazil.
Maria Isabel MelaragnoGenetics Division, Universidade Federal de São Paulo, São Paulo, Brazil.
Zoltán KutalikDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland. Electronic address: zoltan.kutalik@unil.ch.
SIB Swiss Institute of Bioinformatics · CHUniversidade Federal de São Paulo · BRUniversity of Lausanne · CHUniversity College London · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

While extensively studied in clinical cohorts, the phenotypic consequences of 22q11.2 copy-number variants (CNVs) in the general population remain understudied. To address this gap, we performed a phenome-wide association scan in 405,324 unrelated UK Biobank (UKBB) participants by using CNV calls from genotyping array. We mapped 236 Human Phenotype Ontology terms linked to any of the 90 genes encompassed by the region to 170 UKBB traits and assessed the association between these traits and the copy-number state of 504 genotyping array probes in the region. We found significant associations for eight continuous and nine binary traits associated under different models (duplication-only, deletion-only, U-shape, and mirror models). The causal effect of the expression level of 22q11.2 genes on associated traits was assessed through transcriptome-wide Mendelian randomization (TWMR), revealing that increased expression of ARVCF increased BMI. Similarly, increased DGCR6 expression causally reduced mean platelet volume, in line with the corresponding CNV effect. Furthermore, cross-trait multivariable Mendelian randomization (MVMR) suggested a predominant role of genuine (horizontal) pleiotropy in the CNV region. Our findings show that within the general population, 22q11.2 CNVs are associated with traits previously linked to genes in the region, and duplications and deletions act upon traits in different fashions. We also showed that gain or loss of distinct segments within 22q11.2 may impact a trait under different association models. Our results have provided new insights to help further the understanding of the complex 22q11.2 region.

Indexed as

DNA Copy Number VariationsPhenomicsChromosomes, Human, Pair 22HumansPhenotype22q11.2CNVdeletionduplicationHPOMendelian randomizationpleiotropypopulation cohortstructural variantUK Biobank

Identifiers

PMID36706759
PMCPMC9943723
OpenAlexW4318391532

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.