Evidence map›Paper›PMID 19143032›Full record

ArticleHuman mutation2009

An integrated approach for measuring copy number variation at the FCGR3 (CD16) locus.

Edward J Hollox, Jan-Christoph Detering, Tushna Dehnugara

Open access · greenAbstract read
In one paragraph

Article in Human mutation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Pitfalls When Determining HNA-1 Genotypes and Finding Novel Alleles.International journal of molecular sciences · 2024
    Article
  4. Article
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  6. Frontiers in immunology · 2021
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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

3 authors at 1 institution in 1 country.

Edward J HolloxDepartment of Genetics, University of Leicester, Leicester, United Kingdom. ejh33@le.ac.uk
Jan-Christoph Detering
Tushna Dehnugara
University of Leicester · GB

Funding

Wellcome Trust 087663
6 · The paper itself

Abstract

Copy number variation (CNV) is an important source of genomic diversity in humans, and influences disease susceptibility. The immunoglobulin-receptor genes FCGR3A and FCGR3B on chromosome 1q23.3 show CNV, and CNV of the FCGR3B gene is associated with glomerulonephritis in systemic lupus erythematosus and organ-specific autoimmunity. Large-scale case-control association studies of CNV require technologies that are amenable to high-throughput analysis with low error rates. Here we propose an integrated suite of five assays, four of them duplexed to reduce DNA usage, that assays for CNV at FCGR3A and FCGR3B, and genotype the polymorphic neutrophil antigen HNA1. We show how a maximum-likelihood (ML) approach to combining the results from these five assays allows estimation of statistical confidence for each individual copy number, and therefore an appropriate significance threshold to be set, controlling the error rate. This approach results in a high-throughput copy number genotyping system, with demonstrable precision and accuracy, that can be applied to large case-control cohort studies. We demonstrate Mendelian inheritance of this CNV, variation in frequency between Europeans and East Asians, and a lack of strong association between the CNV and flanking SNP genotypes, with important consequences for genome-wide association studies.

Indexed as

Gene DosageAsian PeopleBase SequenceBlotting, SouthernComparative Genomic HybridizationElectrophoresis, Gel, Pulsed-FieldGene FrequencyGenetics, PopulationGenetic VariationGenotypeGPI-Linked ProteinsHumansIsoantigensMolecular Sequence DataPolymorphism, Single NucleotideReceptors, IgGFCGR3A protein, humanFCGR3B protein, humanGPI-Linked ProteinsIsoantigensneutrophil-specific antigen NA1, humanReceptors, IgG

Identifiers

PMID19143032
PMCPMC3600569
OpenAlexW1978308076

What OpenQuestion holds

Textmetadata
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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.