Evidence map›Paper›PMID 29547969›Full record

ArticleHuman molecular genetics2018

A genome-wide association study of IgM antibody against phosphorylcholine: shared genetics and phenotypic relationship to chronic lymphocytic leukemia.

Xu Chen, Stefan Gustafsson, Thomas Whitington, Yan Borné, Erik Lorentzen, Jitong Sun, Peter Almgren, Jun Su, Robert Karlsson, Jie Song and 19 more

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

29 authors at 9 institutions in 4 countries.

Xu ChenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Stefan GustafssonDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Thomas WhitingtonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Yan BornéDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Erik LorentzenDepartment of Bioinformatics, Gothenburg University, Gothenburg, Sweden.
Jitong SunInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Peter AlmgrenDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Jun SuInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Robert KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Jie SongDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Yi LuDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Yiqiang ZhanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Sara HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Per SvenssonDepartment of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.
Karin E SmedbyDepartment of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.
Susan L SlagerDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Erik IngelssonDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Cecilia M LindgrenWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Andrew P MorrisWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Olle MelanderDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Thomas KarlssonHealth Metrics, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Ulf de FaireInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Kenneth CaidahlDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Gunnar EngströmDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Lars LindDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden.
Mikael C I KarlssonDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Johan FrostegårdInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Patrik K E MagnussonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SELund University · SEUppsala University · SEBroad Institute · USCentre for Human Genetics · GBKarolinska University Hospital · SEMayo Clinic in Florida · USQIMR Berghofer Medical Research Institute · AUUniversity of Gothenburg · SE

Funding

Wellcome Trust 086596
6 · The paper itself

Abstract

Phosphorylcholine (PC) is an epitope on oxidized low-density lipoprotein (oxLDL), apoptotic cells and several pathogens like Streptococcus pneumoniae. Immunoglobulin M against PC (IgM anti-PC) has the ability to inhibit uptake of oxLDL by macrophages and increase clearance of apoptotic cells. From our genome-wide association studies (GWASs) in four European-ancestry cohorts, six single nucleotide polymorphisms (SNPs) in 11q24.1 were discovered (in 3002 individuals) and replicated (in 646 individuals) to be associated with serum level of IgM anti-PC (the leading SNP rs35923643-G, combined β = 0.19, 95% confidence interval 0.13-0.24, P = 4.3 × 10-11). The haplotype tagged by rs35923643-G (or its proxy SNP rs735665-A) is also known as the top risk allele for chronic lymphocytic leukemia (CLL), and a main increasing allele for general IgM. By using summary GWAS results of IgM anti-PC and CLL in the polygenic risk score (PRS) analysis, PRS on the basis of IgM anti-PC risk alleles positively associated with CLL risk (explained 0.6% of CLL variance, P = 1.2 × 10-15). Functional prediction suggested that rs35923643-G might impede the binding of Runt-related transcription factor 3, a tumor suppressor playing a central role in the immune regulation of cancers. Contrary to the expectations from the shared genetics between IgM anti-PC and CLL, an inverse relationship at the phenotypic level was found in a nested case-control study (30 CLL cases with 90 age- and sex-matched controls), potentially reflecting reverse causation. The suggested function of the top variant as well as the phenotypic association between IgM anti-PC and CLL risk needs replication and motivates further studies.

Indexed as

AdultAgedAntibodiesApoptosisCore Binding Factor Alpha 3 SubunitEpitopesFemaleGenome-Wide Association StudyHaplotypesHumansImmunoglobulin MLeukemia, Lymphocytic, Chronic, B-CellLipoproteins, LDLMacrophagesMaleMiddle AgedAntibodiesCore Binding Factor Alpha 3 SubunitEpitopesImmunoglobulin MLipoproteins, LDLoxidized low density lipoproteinPhosphorylcholineRunx3 protein, human

Identifiers

PMID29547969
PMCPMC7116597
OpenAlexW2790194900

What OpenQuestion holds

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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.