Evidence map›Paper›PMID 35597955›Full record

ArticleBMC medical genomics2022

Exome-wide analysis of copy number variation shows association of the human leukocyte antigen region with asthma in UK Biobank.

Katherine A Fawcett, German Demidov, Nick Shrine, Megan L Paynton, Stephan Ossowski, Ian Sayers, Louise V Wain, Edward J Hollox

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. The Multifaceted Roles ofNon-coding RNA · 2025
    Review
  4. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    Review
  5. Copy Number Variation in Asthma: An Integrative Review.Clinical reviews in allergy & immunology · 2025
    Review
  6. Asthma-Genomic Advances Toward Risk Prediction.Clinics in chest medicine · 2024
    Review
  7. Article
  8. Article
  9. Article
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

8 authors at 3 institutions in 2 countries.

Katherine A FawcettDepartment of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK. kaf19@leicester.ac.uk.ORCID 0000-0002-6675-2112
German DemidovInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Nick ShrineDepartment of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.
Megan L PayntonDepartment of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.
Stephan OssowskiInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Ian SayersTranslational Medical Sciences, NIHR Respiratory Biomedical Research Centre, School of Medicine, Biodiscovery Institute, University of Nottingham, University Park, Nottingham, UK.
Louise V WainDepartment of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.
Edward J HolloxDepartment of Genetics and Genome Biology, University of Leicester, Leicester, UK.
University of Leicester · GBUniversity of Tübingen · DEUniversity of Nottingham · GB

Funding

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

Abstract

backgroundThe role of copy number variants (CNVs) in susceptibility to asthma is not well understood. This is, in part, due to the difficulty of accurately measuring CNVs in large enough sample sizes to detect associations. The recent availability of whole-exome sequencing (WES) in large biobank studies provides an unprecedented opportunity to study the role of CNVs in asthma.

methodsWe called common CNVs in 49,953 individuals in the first release of UK Biobank WES using ClinCNV software. CNVs were tested for association with asthma in a stage 1 analysis comprising 7098 asthma cases and 36,578 controls from the first release of sequencing data. Nominally-associated CNVs were then meta-analysed in stage 2 with an additional 17,280 asthma cases and 115,562 controls from the second release of UK Biobank exome sequencing, followed by validation and fine-mapping.

resultsFive of 189 CNVs were associated with asthma in stage 2, including a deletion overlapping the HLA-DQA1 and HLA-DQB1 genes, a duplication of CHROMR/PRKRA, deletions within MUC22 and TAP2, and a duplication in FBRSL1. The HLA-DQA1, HLA-DQB1, MUC22 and TAP2 genes all reside within the human leukocyte antigen (HLA) region on chromosome 6. In silico analyses demonstrated that the deletion overlapping HLA-DQA1 and HLA-DQB1 is likely to be an artefact arising from under-mapping of reads from non-reference HLA haplotypes, and that the CHROMR/PRKRA and FBRSL1 duplications represent presence/absence of pseudogenes within the HLA region. Bayesian fine-mapping of the HLA region suggested that there are two independent asthma association signals. The variants with the largest posterior inclusion probability in the two credible sets were an amino acid change in HLA-DQB1 (glutamine to histidine at residue 253) and a multi-allelic amino acid change in HLA-DRB1 (presence/absence of serine, glycine or leucine at residue 11).

conclusionsAt least two independent loci characterised by amino acid changes in the HLA-DQA1, HLA-DQB1 and HLA-DRB1 genes are likely to account for association of SNPs and CNVs in this region with asthma. The high divergence of haplotypes in the HLA can give rise to spurious CNVs, providing an important, cautionary tale for future large-scale analyses of sequencing data.

Indexed as

AsthmaDNA Copy Number VariationsAllelesAmino AcidsBayes TheoremBiological Specimen BanksExomeExome SequencingGenetic Predisposition to DiseaseHaplotypesHistocompatibility Antigens Class IHLA-DQ AntigensHLA-DRB1 ChainsHumansUnited KingdomAmino AcidsHistocompatibility Antigens Class IHLA-DQ AntigensHLA-DRB1 ChainsAsthmaCopy number variantsExome sequencingFine-mappingGenetic associationHuman leukocyte antigenUK Biobank

Identifiers

PMID35597955
PMCPMC9124406
OpenAlexW4281263655

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.