Genomic Diagnosis of Rare Pediatric Disease in the United Kingdom and Ireland

Caroline F Wright, Patrick Campbell, Ruth Y. Eberhardt, Stuart Aitken, Daniel Perrett, Simon Brent, Petr Danecek, Eugene J. Gardner, V Kartik Chundru, Sarah J Lindsay, Katrina A Andrews, Juliet Hampstead, Joanna Kaplanis, Kaitlin E. Samocha, Anna Middleton, Julia Foreman, Rachel J. Hobson, Michael Parker, Hilary C Martin, David R FitzPatrickMatthew E Hurles, Helen V. Firth

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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. With the use of clinical and computational approaches to variant classification, a diagnosis was made in approximately 41% of probands (5502 of 13,449), of whom 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.)
Original languageEnglish
JournalNew England Journal of Medicine
Early online date12 Apr 2023
DOIs
Publication statusE-pub ahead of print - 12 Apr 2023

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