Evidence map›Paper›PMID 24465950›Full record

ArticlePloS one2014

Investigation of complement component C4 copy number variation in human longevity.

Friederike Flachsbart, Amke Caliebe, Femke-Anouska Heinsen, Tom Hemming-Karlsen, Stefan Schreiber, Andre Franke, Almut Nebel

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

7 authors.

Friederike FlachsbartInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Amke CaliebeInstitute of Medical Informatics and Statistics, Christian-Albrechts-University of Kiel, Kiel, Germany.
Femke-Anouska HeinsenInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Tom Hemming-KarlsenNorwegian PSC Research Center, Division of Cancer, Surgery and Transplantation, Oslo University Hospital, Rikshospitalet, Oslo, Norway ; Research Institute for Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway ; Section of Gastroenterology, Department of Transplantation Medicine, Division of Cancer, Surgery and Transplantation, Oslo University Hospital, Rikshospitalet, Oslo, Norway ; Division of Gastroenterology, Institute of Medicine, University of Bergen, Bergen, Norway.
Stefan SchreiberInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany ; Department of General Medicine, University Hospital Schleswig-Holstein, Kiel, Germany ; Popgen Biobank, Christian-Albrechts-University, Kiel, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Almut NebelInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic factors have been estimated to account for about 25% of the variation in an adult's life span. The complement component C4 with the isotypes C4A and C4B is an effector protein of the immune system, and differences in the overall C4 copy number or gene size (long C4L; short C4S) may influence the strength of the immune response and disease susceptibilities. Previously, an association between C4B copy number and life span was reported for Hungarians and Icelanders, where the C4B*Q0 genotype, which is defined by C4B gene deficiency, showed a decrease in frequency with age. Additionally, one of the studies indicated that a low C4B copy number might be a genetic trait that is manifested only in the presence of the environmental risk factor "smoking". These observations prompted us to investigate the role of the C4 alleles in our large German longevity sample (∼ 700 cases; 94-110 years and ∼ 900 younger controls). No significant differences in the number of C4A, C4B and C4S were detected. Besides, the C4B*Q0 carrier state did not decrease with age, irrespective of smoking as an interacting variable. However, for C4L*Q0 a significantly different carrier frequency was observed in the cases compared with controls (cases: 5.08%; controls: 9.12%; p = 0.003). In a replication sample of 714 German cases (91-108 years) and 890 controls this result was not replicated (p = 0.14) although a similar trend of decreased C4L*Q0 carrier frequency in cases was visible (cases: 7.84%; controls: 10.00%).

Indexed as

DNA Copy Number VariationsAdultAgedAged, 80 and overAllelesComplement C4FemaleGene FrequencyGenotypeGermanyHumansLongevityMaleMiddle AgedRisk FactorsYoung AdultComplement C4

Identifiers

PMID24465950
PMCPMC3899116

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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.