Evidence map›Paper›PMID 35553639›Full record

ArticleClinical and experimental immunology2022

Droplet digital PCR for identifying copy number variations in patients with primary immunodeficiency disorders.

See-Tarn Woon, Julia Mayes, Alexander Quach, Hilary Longhurst, Antonio Ferrante, Rohan Ameratunga

Abstract read
In one paragraph

Article in Clinical and experimental immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Droplet Digital PCR Improves Detection ofInternational journal of molecular sciences · 2025
    Article
  2. Review
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

6 authors.

See-Tarn WoonDepartment of Virology and Immunology, LabPLUS, Auckland City Hospital, Grafton, Auckland, New Zealand.
Julia MayesDepartment of Virology and Immunology, LabPLUS, Auckland City Hospital, Grafton, Auckland, New Zealand.
Alexander QuachSA Pathology at the Women's & Children's Hospital, Immunopathology Department, North Adelaide, South Australia, Australia.
Hilary LonghurstDepartment of Clinical Immunology, Auckland City Hospital, Grafton, Auckland, New Zealand.
Antonio FerranteSA Pathology at the Women's & Children's Hospital, Immunopathology Department, North Adelaide, South Australia, Australia.
Rohan AmeratungaDepartment of Virology and Immunology, LabPLUS, Auckland City Hospital, Grafton, Auckland, New Zealand.ORCID 0000-0002-3011-8654

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary immunodeficiency disorders comprise a rare group of mostly monogenic disorders caused by inborn errors of immunity. The majority can be identified by either Sanger sequencing or next generation sequencing. Some disorders result from large insertions or deletions leading to copy number variations (CNVs). Sanger sequencing may not identify these mutations. Here we present droplet digital PCR as an alternative cost-effective diagnostic method to identify CNV in these genes. The data from patients with large deletions of NFKB1, SERPING1, and SH2D1A are presented.

Indexed as

DNA Copy Number VariationsPrimary Immunodeficiency DiseasesHigh-Throughput Nucleotide SequencingHumansPolymerase Chain ReactionCNVddPCRHAEMLPAprimary immunodeficiency disordersXLP

Identifiers

PMID35553639
PMCPMC9113119

What OpenQuestion holds

Textmetadata
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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.