Samarth Satish , Matan Bone , Deborah Ritter , Sharon E. Plon
{"title":"评估ClinVar中SMARCB1变异分类的一致性和基因型-表型关系的断言","authors":"Samarth Satish , Matan Bone , Deborah Ritter , Sharon E. Plon","doi":"10.1016/j.cancergen.2025.06.005","DOIUrl":null,"url":null,"abstract":"<div><div>Pathogenic <em>SMARCB1</em> 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 <em>SMARCB1</em> 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 (<em>n</em> = 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 (<em>n</em> = 10) were found throughout <em>SMARCB1</em> with diverse variant types. CSS variants (<em>n</em> = 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 <em>SMARCB1</em>. 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.</div></div>","PeriodicalId":49225,"journal":{"name":"Cancer Genetics","volume":"296 ","pages":"Pages 84-87"},"PeriodicalIF":1.4000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the consistency of SMARCB1 variant classification and assertions of genotype-phenotype relationships in ClinVar\",\"authors\":\"Samarth Satish , Matan Bone , Deborah Ritter , Sharon E. Plon\",\"doi\":\"10.1016/j.cancergen.2025.06.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Pathogenic <em>SMARCB1</em> 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 <em>SMARCB1</em> 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 (<em>n</em> = 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 (<em>n</em> = 10) were found throughout <em>SMARCB1</em> with diverse variant types. CSS variants (<em>n</em> = 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 <em>SMARCB1</em>. 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.</div></div>\",\"PeriodicalId\":49225,\"journal\":{\"name\":\"Cancer Genetics\",\"volume\":\"296 \",\"pages\":\"Pages 84-87\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Genetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210776225000730\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Genetics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210776225000730","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Evaluating the consistency of SMARCB1 variant classification and assertions of genotype-phenotype relationships in ClinVar
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.
期刊介绍:
The aim of Cancer Genetics is to publish high quality scientific papers on the cellular, genetic and molecular aspects of cancer, including cancer predisposition and clinical diagnostic applications. Specific areas of interest include descriptions of new chromosomal, molecular or epigenetic alterations in benign and malignant diseases; novel laboratory approaches for identification and characterization of chromosomal rearrangements or genomic alterations in cancer cells; correlation of genetic changes with pathology and clinical presentation; and the molecular genetics of cancer predisposition. To reach a basic science and clinical multidisciplinary audience, we welcome original full-length articles, reviews, meeting summaries, brief reports, and letters to the editor.