Diagnostic Utility of Exome Sequencing for Kidney Disease.
Journal
The New England journal of medicine
ISSN: 1533-4406
Titre abrégé: N Engl J Med
Pays: United States
ID NLM: 0255562
Informations de publication
Date de publication:
10 01 2019
10 01 2019
Historique:
pubmed:
27
12
2018
medline:
17
1
2019
entrez:
27
12
2018
Statut:
ppublish
Résumé
Exome sequencing is emerging as a first-line diagnostic method in some clinical disciplines, but its usefulness has yet to be examined for most constitutional disorders in adults, including chronic kidney disease, which affects more than 1 in 10 persons globally. We conducted exome sequencing and diagnostic analysis in two cohorts totaling 3315 patients with chronic kidney disease. We assessed the diagnostic yield and, among the patients for whom detailed clinical data were available, the clinical implications of diagnostic and other medically relevant findings. In all, 3037 patients (91.6%) were over 21 years of age, and 1179 (35.6%) were of self-identified non-European ancestry. We detected diagnostic variants in 307 of the 3315 patients (9.3%), encompassing 66 different monogenic disorders. Of the disorders detected, 39 (59%) were found in only a single patient. Diagnostic variants were detected across all clinically defined categories, including congenital or cystic renal disease (127 of 531 patients [23.9%]) and nephropathy of unknown origin (48 of 281 patients [17.1%]). Of the 2187 patients assessed, 34 (1.6%) had genetic findings for medically actionable disorders that, although unrelated to their nephropathy, would also lead to subspecialty referral and inform renal management. Exome sequencing in a combined cohort of more than 3000 patients with chronic kidney disease yielded a genetic diagnosis in just under 10% of cases. (Funded by the National Institutes of Health and others.).
Sections du résumé
BACKGROUND
Exome sequencing is emerging as a first-line diagnostic method in some clinical disciplines, but its usefulness has yet to be examined for most constitutional disorders in adults, including chronic kidney disease, which affects more than 1 in 10 persons globally.
METHODS
We conducted exome sequencing and diagnostic analysis in two cohorts totaling 3315 patients with chronic kidney disease. We assessed the diagnostic yield and, among the patients for whom detailed clinical data were available, the clinical implications of diagnostic and other medically relevant findings.
RESULTS
In all, 3037 patients (91.6%) were over 21 years of age, and 1179 (35.6%) were of self-identified non-European ancestry. We detected diagnostic variants in 307 of the 3315 patients (9.3%), encompassing 66 different monogenic disorders. Of the disorders detected, 39 (59%) were found in only a single patient. Diagnostic variants were detected across all clinically defined categories, including congenital or cystic renal disease (127 of 531 patients [23.9%]) and nephropathy of unknown origin (48 of 281 patients [17.1%]). Of the 2187 patients assessed, 34 (1.6%) had genetic findings for medically actionable disorders that, although unrelated to their nephropathy, would also lead to subspecialty referral and inform renal management.
CONCLUSIONS
Exome sequencing in a combined cohort of more than 3000 patients with chronic kidney disease yielded a genetic diagnosis in just under 10% of cases. (Funded by the National Institutes of Health and others.).
Identifiants
pubmed: 30586318
doi: 10.1056/NEJMoa1806891
pmc: PMC6510541
mid: NIHMS1523736
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
142-151Subventions
Organisme : NIDDK NIH HHS
ID : F30 DK116473
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK103184
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK115574
Pays : United States
Organisme : NIDDK NIH HHS
ID : T32 DK108741
Pays : United States
Commentaires et corrections
Type : CommentIn
Type : CommentIn
Type : CommentIn
Type : CommentIn
Type : CommentIn
Type : CommentIn
Type : CommentIn
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