Evidence map›Paper›PMID 27107962›Full record

ArticleBMC genomics2016

Absolute quantification reveals the stable transmission of a high copy number variant linked to autoinflammatory disease.

M Olsson, M Kierczak, Å Karlsson, J Jabłońska, P Leegwater, M Koltookian, J Abadie, C Dufaure De Citres, A Thomas, Å Hedhammar and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Droplet digital PCR (ddPCR) for enhanced detection and quantification of bovine viral diarrhea virus (BVDV): A promising tool for disease control.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  2. Article
  3. Article
  4. 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

13 authors.

M OlssonDepartment of Medicine, Rheumatology Unit, Karolinska Institute, Stockholm, Sweden.
M KierczakDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Å KarlssonDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
J JabłońskaDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
P LeegwaterDepartment of Clinical Sciences of Companion Animals, Utrecht University, Utrecht, Netherlands.
M KoltookianBroad Institute of MIT and Harvard, Boston, MA, USA.
J AbadieLUNAM University, Oniris, AMaROC Unit, Nantes, F-44307, France.
C Dufaure De CitresANTAGENE Animal Genetics Laboratory, La Tour de Salvagny, Lyon, 69, France.
A ThomasANTAGENE Animal Genetics Laboratory, La Tour de Salvagny, Lyon, 69, France.
Å HedhammarDepartment of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
L TintleWurtsboro Veterinary Clinic, Wurtsboro, New York, USA.
K Lindblad-TohDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
J R S MeadowsDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. jennifer.meadows@imbim.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDissecting the role copy number variants (CNVs) play in disease pathogenesis is directly reliant on accurate methods for quantification. The Shar-Pei dog breed is predisposed to a complex autoinflammatory disease with numerous clinical manifestations. One such sign, recurrent fever, was previously shown to be significantly associated with a novel, but unstable CNV (CNV_16.1). Droplet digital PCR (ddPCR) offers a new mechanism for CNV detection via absolute quantification with the promise of added precision and reliability. The aim of this study was to evaluate ddPCR in relation to quantitative PCR (qPCR) and to assess the suitability of the favoured method as a genetic test for Shar-Pei Autoinflammatory Disease (SPAID).

resultsOne hundred and ninety-six individuals were assayed using both PCR methods at two CNV positions (CNV_14.3 and CNV_16.1). The digital method revealed a striking result. The CNVs did not follow a continuum of alleles as previously reported, rather the alleles were stable and pedigree analysis showed they adhered to Mendelian segregation. Subsequent analysis of ddPCR case/control data confirmed that both CNVs remained significantly associated with the subphenotype of fever, but also to the encompassing SPAID complex (p < 0.001). In addition, harbouring CNV_16.1 allele five (CNV_16.1|5) resulted in a four-fold increase in the odds for SPAID (p < 0.001). The inclusion of a genetic marker for CNV_16.1 in a genome-wide association test revealed that this variant explained 9.7 % of genetic variance and 25.8 % of the additive genetic heritability of this autoinflammatory disease.

conclusionsThis data shows the utility of the ddPCR method to resolve cryptic copy number inheritance patterns and so open avenues of genetic testing. In its current form, the ddPCR test presented here could be used in canine breeding to reduce the number of homozygote CNV_16.1|5 individuals and thereby to reduce the prevalence of disease in this breed.

Indexed as

DNA Copy Number VariationsAllelesAnimalsAutoimmune DiseasesDog DiseasesDogsGenetic VariationGenome-Wide Association StudyGenotyping TechniquesHomozygotePedigreePolymerase Chain ReactionReproducibility of ResultsAutoinflammationCopy number variationDroplet digital PCRQuantitative PCR

Identifiers

PMID27107962
PMCPMC4841964

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.