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Updated: May 25, 2025

FISH for Pre-implantation Genetic Diagnosis
Published on: February 23, 2011
SeqFirst: Building equity access to a precise genetic diagnosis in critically ill newborns
Tara L Wenger1, Abbey Scott2, Lukas Kruidenier2
1Department of Pediatrics, University of Washington, Seattle, WA 98195, USA; Seattle Children's Hospital, Seattle, WA 98105, USA.
A new SeqFirst-neo program using simple criteria for rapid genome sequencing (rGS) significantly increased precise genetic diagnoses (PrGD) in critically ill newborns. This approach improved equity and reduced missed diagnoses, offering a 9-fold higher chance of PrGD.
Area of Science:
- Genetics and Genomics
- Neonatal Intensive Care
- Clinical Diagnostics
Background:
- Access to precise genetic diagnosis (PrGD) for critically ill newborns is limited and inequitable due to complex eligibility criteria.
- Existing criteria often exclude high-risk infants, leading to missed diagnoses and delayed treatment.
Purpose of the Study:
- To evaluate the SeqFirst-neo program, a genotype-driven workflow using broad exclusion criteria for rapid genome sequencing (rGS) in critically ill newborns.
- To determine if this simplified approach increases access to PrGD and improves equity in neonatal intensive care units (NICUs).
Main Methods:
- A total of 408 newborns in a NICU were assessed; 240 were eligible.
- 126 infants received rGS (intervention group [IG]), compared to 114 receiving conventional care (conventional care group [CCG]).
- Eligibility was determined using simple, broad exclusion criteria for the IG.
Main Results:
- A PrGD was achieved in 49.2% of IG neonates versus 9.7% of CCG infants, a ~9-fold increase.
- Improved access equity was observed, with significantly higher PrGD rates in non-White and Black infants in the IG.
- A PrGD would have been missed in 42% of diagnosed infants without the standardized workflow.
Conclusions:
- Simple, broad exclusion criteria for rGS significantly increase access to PrGD in critically ill newborns.
- The SeqFirst-neo workflow improves diagnostic equity across racial and ethnic groups.
- This approach reduces missed diagnoses and enhances the effectiveness of genetic testing in neonatal care.
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