Runjun D Kumar, Sarah A Paolucci, Brittany Williams, Daniel W Serber, Claire L Wittowski, Ankita Jhuraney, Dru F Leistritz, Jillian G Buchan
{"title":"使用gnomAD 4.1.0和AllofUs人口参考数据集对报告不确定显著性变异的实际影响。","authors":"Runjun D Kumar, Sarah A Paolucci, Brittany Williams, Daniel W Serber, Claire L Wittowski, Ankita Jhuraney, Dru F Leistritz, Jillian G Buchan","doi":"10.1016/j.gim.2025.101593","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Clinical testing of rare genetic variants relies on population genomic datasets as a source of evidence. New datasets from the Genome Aggregation Database (gnomAD) and AllofUs Research Program are many-fold larger than prior datasets, and the latter includes highly detailed phenotype data. The effect of these datasets on variant classification and reporting for highly-penetrant pediatric-onset disease is not well characterized, but one likely effect is to reduce reporting of variants of uncertain significance (VUS).</p><p><strong>Methods: </strong>We retrospectively identified VUS previously reported by our CAP/CLIA certified laboratory and evaluated whether they are still reportable provided new reference datasets.</p><p><strong>Results: </strong>By examining allele counts in new datasets, we identified 24 variants that are likely no longer reportable. Additionally, the AllofUs phenotype data suggest an additional 10 VUS are no longer reportable. Overall, we find that nearly one fifth of VUS (34/173, 19.6%) are no longer reportable.</p><p><strong>Conclusion: </strong>We conclude that the use of these new datasets is likely to reduce reported VUS for highly-penetrant pediatric-onset disease. This may be further augmented through updated gene-specific thresholds and improved accessibility of AllofUs phenotype data.</p>","PeriodicalId":12717,"journal":{"name":"Genetics in Medicine","volume":" ","pages":"101593"},"PeriodicalIF":6.2000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-world effects of using gnomAD 4.1.0 and AllofUs population reference datasets on reporting of variants of uncertain significance.\",\"authors\":\"Runjun D Kumar, Sarah A Paolucci, Brittany Williams, Daniel W Serber, Claire L Wittowski, Ankita Jhuraney, Dru F Leistritz, Jillian G Buchan\",\"doi\":\"10.1016/j.gim.2025.101593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Clinical testing of rare genetic variants relies on population genomic datasets as a source of evidence. New datasets from the Genome Aggregation Database (gnomAD) and AllofUs Research Program are many-fold larger than prior datasets, and the latter includes highly detailed phenotype data. The effect of these datasets on variant classification and reporting for highly-penetrant pediatric-onset disease is not well characterized, but one likely effect is to reduce reporting of variants of uncertain significance (VUS).</p><p><strong>Methods: </strong>We retrospectively identified VUS previously reported by our CAP/CLIA certified laboratory and evaluated whether they are still reportable provided new reference datasets.</p><p><strong>Results: </strong>By examining allele counts in new datasets, we identified 24 variants that are likely no longer reportable. Additionally, the AllofUs phenotype data suggest an additional 10 VUS are no longer reportable. Overall, we find that nearly one fifth of VUS (34/173, 19.6%) are no longer reportable.</p><p><strong>Conclusion: </strong>We conclude that the use of these new datasets is likely to reduce reported VUS for highly-penetrant pediatric-onset disease. This may be further augmented through updated gene-specific thresholds and improved accessibility of AllofUs phenotype data.</p>\",\"PeriodicalId\":12717,\"journal\":{\"name\":\"Genetics in Medicine\",\"volume\":\" \",\"pages\":\"101593\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genetics in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.gim.2025.101593\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetics in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.gim.2025.101593","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Real-world effects of using gnomAD 4.1.0 and AllofUs population reference datasets on reporting of variants of uncertain significance.
Purpose: Clinical testing of rare genetic variants relies on population genomic datasets as a source of evidence. New datasets from the Genome Aggregation Database (gnomAD) and AllofUs Research Program are many-fold larger than prior datasets, and the latter includes highly detailed phenotype data. The effect of these datasets on variant classification and reporting for highly-penetrant pediatric-onset disease is not well characterized, but one likely effect is to reduce reporting of variants of uncertain significance (VUS).
Methods: We retrospectively identified VUS previously reported by our CAP/CLIA certified laboratory and evaluated whether they are still reportable provided new reference datasets.
Results: By examining allele counts in new datasets, we identified 24 variants that are likely no longer reportable. Additionally, the AllofUs phenotype data suggest an additional 10 VUS are no longer reportable. Overall, we find that nearly one fifth of VUS (34/173, 19.6%) are no longer reportable.
Conclusion: We conclude that the use of these new datasets is likely to reduce reported VUS for highly-penetrant pediatric-onset disease. This may be further augmented through updated gene-specific thresholds and improved accessibility of AllofUs phenotype data.
期刊介绍:
Genetics in Medicine (GIM) is the official journal of the American College of Medical Genetics and Genomics. The journal''s mission is to enhance the knowledge, understanding, and practice of medical genetics and genomics through publications in clinical and laboratory genetics and genomics, including ethical, legal, and social issues as well as public health.
GIM encourages research that combats racism, includes diverse populations and is written by authors from diverse and underrepresented backgrounds.