Article ; Online: Genomic Diagnosis of Rare Pediatric Disease in the United Kingdom and Ireland.
The New England journal of medicine
2023 Volume 388, Issue 17, Page(s) 1559–1571
Abstract: Background: Pediatric disorders include a range of highly penetrant, genetically heterogeneous conditions amenable to genomewide diagnostic approaches. Finding a molecular diagnosis is challenging but can have profound lifelong benefits.: Methods: We ...
Abstract | Background: Pediatric disorders include a range of highly penetrant, genetically heterogeneous conditions amenable to genomewide diagnostic approaches. Finding a molecular diagnosis is challenging but can have profound lifelong benefits. Methods: We conducted a large-scale sequencing study involving more than 13,500 families with probands with severe, probably monogenic, difficult-to-diagnose developmental disorders from 24 regional genetics services in the United Kingdom and Ireland. Standardized phenotypic data were collected, and exome sequencing and microarray analyses were performed to investigate novel genetic causes. We developed an iterative variant analysis pipeline and reported candidate variants to clinical teams for validation and diagnostic interpretation to inform communication with families. Multiple regression analyses were performed to evaluate factors affecting the probability of diagnosis. Results: A total of 13,449 probands were included in the analyses. On average, we reported 1.0 candidate variant per parent-offspring trio and 2.5 variants per singleton proband. Using clinical and computational approaches to variant classification, we made a diagnosis in approximately 41% of probands (5502 of 13,449). Of 3599 probands in trios who received a diagnosis by clinical assertion, approximately 76% had a pathogenic de novo variant. Another 22% of probands (2997 of 13,449) had variants of uncertain significance in genes that were strongly linked to monogenic developmental disorders. Recruitment in a parent-offspring trio had the largest effect on the probability of diagnosis (odds ratio, 4.70; 95% confidence interval [CI], 4.16 to 5.31). Probands were less likely to receive a diagnosis if they were born extremely prematurely (i.e., 22 to 27 weeks' gestation; odds ratio, 0.39; 95% CI, 0.22 to 0.68), had in utero exposure to antiepileptic medications (odds ratio, 0.44; 95% CI, 0.29 to 0.67), had mothers with diabetes (odds ratio, 0.52; 95% CI, 0.41 to 0.67), or were of African ancestry (odds ratio, 0.51; 95% CI, 0.31 to 0.78). Conclusions: Among probands with severe, probably monogenic, difficult-to-diagnose developmental disorders, multimodal analysis of genomewide data had good diagnostic power, even after previous attempts at diagnosis. (Funded by the Health Innovation Challenge Fund and Wellcome Sanger Institute.). |
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MeSH term(s) | Child ; Humans ; Exome ; Genomics ; Ireland/epidemiology ; United Kingdom/epidemiology ; Rare Diseases/diagnosis ; Rare Diseases/epidemiology ; Rare Diseases/genetics ; Oligonucleotide Array Sequence Analysis ; Genetic Association Studies ; Neurodevelopmental Disorders/diagnosis ; Neurodevelopmental Disorders/genetics ; Congenital Abnormalities/diagnosis ; Congenital Abnormalities/genetics ; Growth Disorders/diagnosis ; Growth Disorders/genetics ; Facies ; Child Behavior Disorders/diagnosis ; Child Behavior Disorders/genetics ; Genetic Diseases, Inborn/diagnosis ; Genetic Diseases, Inborn/genetics |
Language | English |
Publishing date | 2023-04-12 |
Publishing country | United States |
Document type | Journal Article ; Multicenter Study |
ZDB-ID | 207154-x |
ISSN | 1533-4406 ; 0028-4793 |
ISSN (online) | 1533-4406 |
ISSN | 0028-4793 |
DOI | 10.1056/NEJMoa2209046 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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