Evidence map›Paper›PMID 42393335›Full record

ArticleEuropean journal of human genetics : EJHG2026

Characterisation of the SMN1/2 locus using a highly specific variant caller on whole-genome sequence data from 500,000 individuals.

Timothy S Hall, Robin N Beaumont, James Fasham, Emma L Baple, Leigh Jackson, Michael N Weedon, Caroline F Wright

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Article in European journal of human genetics : EJHG, 2026. 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. 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

7 authors.

Timothy S HallDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.ORCID http://orcid.org/0009-0003-8548-447X
Robin N BeaumontDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0003-0750-8248
James FashamDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-7614-9202
Emma L BapleDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-6637-3411
Leigh JacksonDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-0260-5295
Michael N WeedonDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
Caroline F WrightDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK. caroline.wright@exeter.ac.uk.ORCID http://orcid.org/0000-0003-2958-5076

Funding

RCUK | Medical Research Council (MRC) MR/X021351/1
6 · The paper itself

Abstract

Spinal muscular atrophy (SMA) is a rare autosomal recessive condition caused by biallelic loss of the SMN1 gene that results in severe lower motor neuron degeneration in childhood. Targeted pre-symptomatic treatments have been shown to dramatically improve outcomes, supporting the inclusion of SMA in newborn screening programmes. However, ~95% of infantile-onset cases are caused by homozygous deletions of exon 7-8 of the SMN1 gene, which is challenging to detect using short-read next-generation DNA sequencing technology due to the high sequence similarity between SMN1 and its nearby paralog SMN2. Here, we evaluate the performance of an SMN-specific variant caller in ~490,000 adults with whole-genome sequence data in UK Biobank. We also perform a phenome-wide association study (PheWAS) of 4782 diseases and traits for SMN1 deletion carriers. We show that the SMNCopyNumberCaller performs extremely well, identifying 8856 (1.8%) heterozygous carriers and just two (0.0004%) individuals with homozygous SMN1 deletions, of whom one had been diagnosed with SMN1-SMA. From the PheWAS, we found novel associations between SMN1/2 copy number and the level of several circulating proteins encoded or regulated by genes near the SMN locus, further validating the accuracy of the caller. Our results suggest that using a specialist variant caller can accurately determine SMN1/2 copy number from short-read DNA sequencing technology, achieving a very high specificity (~100%) for homozygous SMN1 deletions. The number of false positive results for SMN1-SMA is therefore likely to be extremely low when using short-read whole-genome sequencing at a population level.

Identifiers

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Registered trials

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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 Socratic graph.