Evidence map›Paper›PMID 40617178›Full record

ArticleCancer genetics2025

Evaluating the consistency of SMARCB1 variant classification and assertions of genotype-phenotype relationships in ClinVar.

Samarth Satish, Matan Bone, Deborah Ritter, Sharon E Plon

Abstract read
In one paragraph

Article in Cancer genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Samarth SatishUniversity of Manchester, Oxford Road, Manchester, M13 9PL, USA. Electronic address: samarth292@gmail.com.
Matan BoneUniversity of Manchester, Oxford Road, Manchester, M13 9PL, USA. Electronic address: matanbone@gmail.com.
Deborah RitterBaylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA. Electronic address: dritter@bcm.edu.
Sharon E PlonBaylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA. Electronic address: splon@bcm.edu.

Funding

Baylor College of Medicine/Stanford University Clinical Genome Resource (CLINGEN)U24HG009649 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI TERI Ellen KLEIN, Aleksandar Milosavljevic · 2021 to 2026
$31.5M
NHGRI NIH HHS U24 HG009649
6 · The paper itself

Abstract

Pathogenic SMARCB1 variants are associated with multiple Mendelian syndromes: Schwannomatosis (SM), Rhabdoid Tumour Predisposition Syndrome (RTPS1), and/or Coffin-Siris Syndrome (CSS). Although some data suggests genotype/phenotype relationships based on mutation type and location, this is not used consistently potentially due to inconsistent or absent phenotypic data. We used ClinVar, the largest public platform of variant classifications, to evaluate variant-specific data from clinical laboratories and cited publications to assess reporting consistency and genotype-phenotype relationships. When available, we extracted the mutation type, HGVS nomenclature, submitters, publications, and disease conditions. We compared the disease assertions made by laboratory submissions with those made in cited publications. Across 59 SMARCB1 pathogenic variants, we identified 91 laboratory submissions (38 single and 20 multiple laboratories) and 40 cited articles. Of 91 submissions, 40 did not provide any disease assertion. Nonsense RTPS1 variants (n = 23) were mostly located in exon 2, with some in exons 1, 4 and 5, and other variant types were limited to frameshifts and large deletions/duplications. SM variants (n = 10) were found throughout SMARCB1 with diverse variant types. CSS variants (n = 6) were single amino-acid deletions, missense and frameshift variants limited to exons 8 and 9. Although ClinVar is a rich source of variant data and extensively used during variant classification, the frequent absence of disease assertions and inconsistent reporting impedes implementation of clear genotype-phenotype relationships for SMARCB1. Given the significant clinical impact of these diagnoses a more standardized way of reporting pathogenic variants for diseases associated with multiple Mendelian disorders is needed.

Indexed as

Abnormalities, MultipleFaceGenetic Association StudiesHand Deformities, CongenitalIntellectual DisabilityMicrognathismNeckNeoplasms, Connective and Soft TissueNeurilemmomaRhabdoid TumorSkin NeoplasmsSMARCB1 ProteinGenotypeGrowth DisordersHumansMutationSMARCB1 ProteinSMARCB1 protein, humanCoffin-Siris syndromeMolecular diagnosisRhabdoid tumorsSchwannomatosisSMARCB1

Identifiers

PMID40617178
PMCPMC13180426

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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 OpenQuestion graph.