Evidence map›Paper›PMID 28867604›Full record

ArticleThe Journal of molecular diagnostics : JMD2017

Characterization and Genomic Localization of a SMAD4 Processed Pseudogene.

Christopher M Watson, Nick Camm, Laura A Crinnion, Agne Antanaviciute, Julian Adlard, Alexander F Markham, Ian M Carr, Ruth Charlton, David T Bonthron

Open access · greenAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2017. 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
0.4field-weighted citation impact, top 37% 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, 5 citations in OpenAlex.

  1. Article
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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

9 authors at 2 institutions in 1 country.

Christopher M WatsonYorkshire Regional Genetics Service, St. James's University Hospital, Leeds, United Kingdom; MRC Medical Bioinformatics Centre, Leeds Institute for Data Analytics, St. James's University Hospital, Leeds, United Kingdom; MRC Single Cell Functional Genomics Centre, University of Leeds, St. James's University Hospital, Leeds, United Kingdom. Electronic address: c.m.watson@leeds.ac.uk.
Nick CammYorkshire Regional Genetics Service, St. James's University Hospital, Leeds, United Kingdom.
Laura A CrinnionYorkshire Regional Genetics Service, St. James's University Hospital, Leeds, United Kingdom; MRC Medical Bioinformatics Centre, Leeds Institute for Data Analytics, St. James's University Hospital, Leeds, United Kingdom; MRC Single Cell Functional Genomics Centre, University of Leeds, St. James's University Hospital, Leeds, United Kingdom.
Agne AntanaviciuteMRC Medical Bioinformatics Centre, Leeds Institute for Data Analytics, St. James's University Hospital, Leeds, United Kingdom.
Julian AdlardYorkshire Regional Genetics Service, St. James's University Hospital, Leeds, United Kingdom.
Alexander F MarkhamMRC Medical Bioinformatics Centre, Leeds Institute for Data Analytics, St. James's University Hospital, Leeds, United Kingdom.
Ian M CarrMRC Medical Bioinformatics Centre, Leeds Institute for Data Analytics, St. James's University Hospital, Leeds, United Kingdom; MRC Single Cell Functional Genomics Centre, University of Leeds, St. James's University Hospital, Leeds, United Kingdom.
Ruth CharltonYorkshire Regional Genetics Service, St. James's University Hospital, Leeds, United Kingdom.
David T BonthronYorkshire Regional Genetics Service, St. James's University Hospital, Leeds, United Kingdom; MRC Medical Bioinformatics Centre, Leeds Institute for Data Analytics, St. James's University Hospital, Leeds, United Kingdom; MRC Single Cell Functional Genomics Centre, University of Leeds, St. James's University Hospital, Leeds, United Kingdom.
St James's University Hospital · GBUniversity of Leeds · GB

Funding

Medical Research Council MR/L01629X/1Medical Research Council MR/M009084/1
6 · The paper itself

Abstract

Like many clinical diagnostic laboratories, the Yorkshire Regional Genetics Service undertakes routine investigation of cancer-predisposed individuals by high-throughput sequencing of patient DNA that has been target-enriched for genes associated with hereditary cancer. Accurate diagnosis using such reagents requires alertness regarding rare nonpathogenic variants that may interfere with variant calling. In a cohort of 2042 such cases, we identified 5 that initially appeared to be carriers of a 95-bp deletion of SMAD4 intron 6. More detailed analysis indicated that these individuals all carried one copy of a SMAD4 processed gene. Because of its interference with diagnostic analysis, we characterized this processed gene in detail. Whole-genome sequencing and confirmatory Sanger sequencing of junction PCR products were used to show that in each of the 5 cases, the SMAD4 processed gene was integrated at the same position on chromosome 9, located within the last intron of the SCAI gene. This rare polymorphic processed gene therefore reflects the occurrence of a single ancestral retrotransposition event. Compared to the reference SMAD4 mRNA sequence NM_005359.5 (https://www.ncbi.nlm.nih.gov/nucleotide), the 5' and 3' untranslated regions of the processed gene are both truncated, but its open reading frame is unaltered. Our experience leads us to advocate the use of an RNA-seq aligner as part of diagnostic assay quality assurance, since this allows recognition of processed pseudogenes in a comparatively facile automated fashion.

Indexed as

Chromosome MappingChromosomes, Human, Pair 9GenomicsHeterozygoteHigh-Throughput Nucleotide SequencingHumansIntronsNeoplasmsPathology, MolecularPseudogenesSmad4 ProteinTranscription FactorsWhole Genome SequencingSCAI protein, humanSmad4 ProteinSMAD4 protein, humanTranscription Factors

Identifiers

PMID28867604
PMCPMC12178324
OpenAlexW2752907504

What OpenQuestion holds

Textmetadata
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.