Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA178615 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Rapid Whole Genome Sequencing for Genetic Disease Diagnosis in Neonatal Intensive Care Units
| PRJNA178616 | ENA
Project description:<p>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 <i>GJB2</i>-related skin disease in one neonate; <i>BRAT1</i>-related lethal neonatal rigidity and multifocal seizure syndrome in another infant, identified <i>BCL9L</i> as a novel, recessive visceral heterotaxy gene (<i>HTX6</i>) 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.</p> <p>Reprinted from Saunders et. al, Rapid Whole-Genome Sequencing for Genetic Disease Diagnosis in Neonatal Intensive Care Units. Sci. Transl. Med. 4, 154ra135 (2012; <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=Rapid%20Whole-Genome%20Sequencing%20for%20Genetic%20Disease%20Diagnosis%20in%20Neonatal%20Intensive%20Care%20Units">PMID: 23035047</a>) with permission from AAAS.</p>
| phs000564 | dbGaP
Project description:Whole genome sequencing of sick children in neonatal and paediatric intensive care units, aligned to reference assembly GRCh38.
| EGAD00001007868 | EGA
Project description:Whole genome sequencing of sick children in neonatal and paediatric intensive care units, aligned to reference assembly GRCh37.
| EGAD00001007780 | EGA
Project description:<p>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 <i>GJB2</i>-related skin disease in one neonate; <i>BRAT1</i>-related lethal neonatal rigidity and multifocal seizure syndrome in another infant, identified <i>BCL9L</i> as a novel, recessive visceral heterotaxy gene (<i>HTX6</i>) 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.</p> <p>Reprinted from Saunders et. al, Rapid Whole-Genome Sequencing for Genetic Disease Diagnosis in Neonatal Intensive Care Units. Sci. Transl. Med. 4, 154ra135 (2012; <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=Rapid%20Whole-Genome%20Sequencing%20for%20Genetic%20Disease%20Diagnosis%20in%20Neonatal%20Intensive%20Care%20Units">PMID: 23035047 </a>) with permission from AAAS.</p>
| phs000564.v1.p1 | EGA
Project description:Whole genome sequencing of sick children in neonatal and paediatric intensive care units. Datasets EGAD00001007780 (GRCh37) and EGAD00001007868 (GRCh38) are extentions of this dataset.
| EGAD00001004357 | EGA
Project description:With growing evidence that rare single gene disorders present in the neonatal period, there is a need for rapid, systematic, and comprehensive genomic diagnoses in ICUs to assist acute and long-term clinical decisions. This study aimed to identify genetic conditions in neonatal (NICU) and paediatric (PICU) intensive care populations. Whole genome sequencing data.
| EGAS00001003002 | EGA
Project description:Carbapenemase and ESBL-producing Klebsiella pneumoniae in neonatal intensive care units in Ghana
| PRJEB37523 | ENA
Project description:The host response in critically ill patients with sepsis, septic shock remains poorly defined. Considerable research has been conducted to accurately distinguish patients with sepsis from those with non-infectious causes of disease. Technological innovations have positioned systems biology at the forefront of biomarker discovery. Analysis of the whole-blood leukocyte transcriptome enables the assessment of thousands of molecular signals beyond simply measuring several proteins in plasma, which for use as biomarkers is important since combinations of biomarkers likely provide more diagnostic accuracy than the measurement of single ones or a few. Evidence suggests that genome-wide transcriptional profiling of blood leukocytes can assist in differentiating between infection and non-infectious causes of severe disease. Of importance, RNA biomarkers have the potential advantage that they can be measured reliably in rapid quantitative reverse transcriptase polymerase chain reaction (qRT-PCR)-based point of care tests. PAXgene blood RNA was isolated at intensive-care unit (ICU) admission and throughout ICU length-of-stay. Through the use of genome-wide microarrays we aimed to identify molecular features that enbale the adequate discrimination of infectious and non-infectious sources of critical illness. Moreover, biological pathway analysis was used to tease out the most relevant biological units in sepsis and septic shock.
2015-07-06 | E-GEOD-65682 | biostudies-arrayexpress