ID
45465
Descrizione
Principal Investigator: Stephen Kingsmore, MB, ChB, BAO, DSc, FRCPath, Children's Mercy Hospital, Kansas City, MO, USA MeSH: Congenital, Hereditary, and Neonatal Diseases and Abnormalities,Developmental Disabilities,Cerebellar Ataxia,Epidermolysis Bullosa,Epilepsy,Heterotaxy Syndrome,Mitochondrial Diseases,Growth and Development,Malformations of Cortical Development,Macrocephaly,Menkes Kinky Hair Syndrome,Microcephaly,Myotonia,Seizures,Tay-Sachs Disease https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000564 Monogenic diseases are frequent causes of neonatal morbidity and mortality, and disease presentations are often undifferentiated at birth. More than 3,500 monogenic diseases have been characterized, but clinical testing is available for only some of them and many feature clinical and genetic heterogeneity. As such, an immense unmet need exists for improved molecular diagnosis in infants. Because disease progression is extremely rapid, albeit heterogeneous, in newborns, molecular diagnoses must occur quickly to be relevant for clinical decision-making. We describe 50-hour differential diagnosis of genetic disorders by whole-genome sequencing (WGS) that features automated bioinformatic analysis and is intended to be a prototype for use in neonatal intensive care units. Retrospective 50-hour WGS identified known molecular diagnoses in two children. Prospective WGS disclosed potential molecular diagnosis of a severe *GJB2*-related skin disease in one neonate; *BRAT1*-related lethal neonatal rigidity and multifocal seizure syndrome in another infant, identified *BCL9L* as a novel, recessive visceral heterotaxy gene (*HTX6*) in a pedigree, and ruled out known candidate genes in one infants. Sequencing of parents or affected siblings expedited the identification of disease gene in prospective cases. Thus, rapid WGS can potentially broaden and foreshorten differential diagnosis, resulting in fewer empirical treatments and faster progression to genetic and prognostic counseling. Reprinted from Saunders et. al, Rapid Whole-Genome Sequencing for Genetic Disease Diagnosis in Neonatal Intensive Care Units. Sci. Transl. Med. 4, 154ra135 (2012; PMID: 23035047) with permission from AAAS.
collegamento
Keywords
versioni (2)
- 2022-10-27 2022-10-27 - Simon Heim
- 2022-12-13 2022-12-13 - Kristina Keller
Titolare del copyright
Stephen Kingsmore, MB, ChB, BAO, DSc, FRCPath, Children's Mercy Hospital, Kansas City, MO, USA
Caricato su
13 december 2022
DOI
Per favore, per richiedere un accesso.
Licenza
Creative Commons BY 4.0
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dbGaP phs000564 Rapid Whole Genome Sequencing for Genetic Disease Diagnosis in the NICU
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status Information
- Pedigree Information
- Subject - Sample Mapping
- The dataset provides information about participants' age, gender and symptoms observed. Compared to study version 1, data of n=270 additional subjects are available.
- Sample - Attribute Information
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status Information
- Pedigree Information
- Subject - Sample Mapping
- The dataset provides information about participants' age, gender and symptoms observed. Compared to study version 1, data of n=270 additional subjects are available.
- Sample - Attribute Information
C1516048 (UMLS CUI [1,2])
C3640076 (UMLS CUI [1,3])
C1514923 (UMLS CUI [1,4])
C0021270 (UMLS CUI [1,5])
C1513388 (UMLS CUI [1,6])
C5236074 (UMLS CUI [1,7])
C1516634 (UMLS CUI [1,8])
C1519941 (UMLS CUI [2,1])
C0150098 (UMLS CUI [2,2])
C1513388 (UMLS CUI [2,3])
C0019247 (UMLS CUI [2,4])
C3245505 (UMLS CUI [1,2])
C0430022 (UMLS CUI [1,3])
C3640076 (UMLS CUI [1,4])
C0033522 (UMLS CUI [1,5])
C0021289 (UMLS CUI [1,6])
C2708283 (UMLS CUI [1,7])
C0019247 (UMLS CUI [1,8])
C0037047 (UMLS CUI [1,9])
C0392760 (UMLS CUI [1,10])
C2986417 (UMLS CUI [1,11])
C0030551 (UMLS CUI [1,12])
C0021289 (UMLS CUI [2,1])
C0332288 (UMLS CUI [2,2])
C1513388 (UMLS CUI [2,3])
C3640077 (UMLS CUI [2,4])
C3640076 (UMLS CUI [2,5])