Evidence map›Paper›PMID 38141875›Full record

ArticleEuropean journal of medical genetics2024

Deep intronic variant causes aberrant splicing of ATP7A in a family with a variable occipital horn syndrome phenotype.

J Robert Harkness, Huw B Thomas, Jill E Urquhart, Peter Jamieson, Genomics England Research Consortium, Raymond T O'Keefe, Helen M Kingston, Charulata Deshpande, William G Newman

Open access · hybridAbstract read
In one paragraph

Article in European journal of medical genetics, 2024. 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
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. NovelGenes · 2025
    Review
  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

9 authors at 3 institutions in 1 country.

J Robert HarknessManchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health Sciences, University of Manchester, Manchester, UK.
Huw B ThomasDivision of Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health Sciences, University of Manchester, Manchester, UK.
Jill E UrquhartManchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health Sciences, University of Manchester, Manchester, UK.
Peter JamiesonManchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK.
Genomics England Research Consortium
Raymond T O'KeefeDivision of Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health Sciences, University of Manchester, Manchester, UK.
Helen M KingstonManchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK.
Charulata DeshpandeManchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK.
William G NewmanManchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health Sciences, University of Manchester, Manchester, UK. Electronic address: william.newman@manchester.ac.uk.
Manchester Academic Health Science Centre · GBManchester University NHS Foundation Trust · GBUniversity of Manchester · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Genetic variants in ATP7A are associated with a spectrum of X-linked disorders. In descending order of severity, these are Menkes disease, occipital horn syndrome, and X-linked distal spinal muscular atrophy. After 30 years of diagnostic investigation, we identified a deep intronic ATP7A variant in four males from a family affected to variable degrees by a predominantly skeletal phenotype, featuring bowing of long bones, elbow joints with restricted mobility which dislocate frequently, coarse curly hair, chronic diarrhoea, and motor coordination difficulties. Analysis of whole genome sequencing data from the Genomics England 100,000 Genomes Project following clinical re-evaluation identified a deep intronic ATP7A variant, which was predicted by SpliceAI to have a modest splicing effect. Using a mini-gene splicing assay, we determined that the intronic variant results in aberrant splicing. Sanger sequencing of patient cDNA revealed ATP7A transcripts with exon 5 skipping, or inclusion of a novel intron 4 pseudoexon. In both instances, frameshift leading to premature termination are predicted. Quantification of ATP7A mRNA transcripts using a qPCR assay indicated that the majority of transcripts (86.1 %) have non-canonical splicing, with 68.0 % featuring exon 5 skipping, and 18.1 % featuring the novel pseudoexon. We suggest that the variability of the phenotypes within the affected males results from the stochastic effects of splicing. This deep intronic variant, resulting in aberrant ATP7A splicing, expands the understanding of intronic variation on the ATP7A-related disease spectrum.

Indexed as

Cutis LaxaEhlers-Danlos SyndromeCopper-Transporting ATPasesHumansMaleMutationPeptide FragmentsPhenotypeATP7A protein, humanCopper-Transporting ATPasesPeptide FragmentsATP7ADeep intronic variantGenomeMenkes diseaseNon-codingOccipital horn syndromeRare diseaseSplicing

Identifiers

PMID38141875
PMCPMC10918460
OpenAlexW4390047538

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.