{"title":"Improved diagnosis of patients with rare diseases through the application of constrained coding region annotation and de novo status","authors":"Chris Odhams , Hywel J. Williams","doi":"10.1016/j.gim.2025.101447","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>Identifying the pathogenic variant in a patient with rare disease (RD) is the first step in ending their diagnostic odyssey. De novo (Dn) variants affecting protein-coding DNA are a well-established cause of Mendelian disorders in patients with RD. Constrained coding regions (CCRs) are specific segments of coding DNA that are devoid of functional variants in healthy individuals.</div></div><div><h3>Methods</h3><div>We evaluated the diagnostic utility of incorporating combined Dn/CCR status into the variant prioritization cascade for patients with RD that have undergone genomic sequencing. Using the Genomics England 100,000 Genomes Project v12, we selected 3090 trios that have undergone diagnostic evaluation and been analyzed with an advanced Dn identification pipeline.</div></div><div><h3>Results</h3><div>Our analysis shows that the diagnostic rate increased from 71% in the full cohort to 87% for Dn/CCR variants. Of note, manual evaluation of the Dn/CCR variants from undiagnosed patients with clinical follow-up revealed a diagnosis for 13 further patients. This outcome increases the diagnostic rate for Dn/CCR variants to 91% and suggests that the application of this metric can prioritize diagnostic variants in undiagnosed patients.</div></div><div><h3>Conclusion</h3><div>We demonstrate the potential clinical utility of performing bespoke Dn analyses of patients with RD and for incorporating CCR information into the filtering cascade to prioritize pathogenic variants.</div></div>","PeriodicalId":12717,"journal":{"name":"Genetics in Medicine","volume":"27 7","pages":"Article 101447"},"PeriodicalIF":6.6000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetics in Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1098360025000942","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
Identifying the pathogenic variant in a patient with rare disease (RD) is the first step in ending their diagnostic odyssey. De novo (Dn) variants affecting protein-coding DNA are a well-established cause of Mendelian disorders in patients with RD. Constrained coding regions (CCRs) are specific segments of coding DNA that are devoid of functional variants in healthy individuals.
Methods
We evaluated the diagnostic utility of incorporating combined Dn/CCR status into the variant prioritization cascade for patients with RD that have undergone genomic sequencing. Using the Genomics England 100,000 Genomes Project v12, we selected 3090 trios that have undergone diagnostic evaluation and been analyzed with an advanced Dn identification pipeline.
Results
Our analysis shows that the diagnostic rate increased from 71% in the full cohort to 87% for Dn/CCR variants. Of note, manual evaluation of the Dn/CCR variants from undiagnosed patients with clinical follow-up revealed a diagnosis for 13 further patients. This outcome increases the diagnostic rate for Dn/CCR variants to 91% and suggests that the application of this metric can prioritize diagnostic variants in undiagnosed patients.
Conclusion
We demonstrate the potential clinical utility of performing bespoke Dn analyses of patients with RD and for incorporating CCR information into the filtering cascade to prioritize pathogenic variants.
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.