San Diego — Feb. 9, 2023 – In a study appearing today in JAMA Network Open , Rady Children’s Institute for Genomic Medicine ® (RCIGM) researchers found that the contribution of genetic diseases to infant deaths was higher than previously recognized. Of 112 infant deaths evaluated, single-locus (Mendelian) genetic diseases were found to be the most common antecedent of infant mortality and associated with 41 percent of the deaths. Researchers also found that treatments predicted to positively impact outcomes were available for 30 percent of these genetic diseases. The implication of the study is that strategies for neonatal diagnosis have substantial potential to decrease mortality during the first year of life.
“At least 500 genetic diseases have effective treatments that can improve outcomes, and it seems that undiagnosed genetic diseases are a frequent cause of preventable deaths,” said Stephen Kingsmore, MD, President & CEO of RCIGM. “Broad use of genomic sequencing during the first year of life could have much greater impact on infant mortality than was recognized hitherto.”
The cohort study was conducted at Rady Children’s Hospital in San Diego and included 546 infants (112 infant deaths [20.5%] and 434 infants [79.5%] with acute illness who survived) who underwent diagnostic whole-genome sequencing (WGS) between Jan. 2015 and Dec. 2020. Infants underwent WGS either premortem or postmortem with semiautomated phenotyping and diagnostic interpretation.
Among the findings:
“Prior etiologic studies of infant mortality are generally retrospective, based on electronic health record and death certificate review, and without genome information, leading to underdiagnosis of genetic diseases. In fact, prior studies show at least 30 percent of death certificates have inaccuracies,” said Christina Chambers, PhD, MPH, who co-led the study. “By implementing broad use of genome sequencing in newborns we might substantially reduce infant mortality.”
To that end, in June 2022, RCIGM announced a novel program to advance and evaluate scalability of a diagnostic and precision medicine guidance tool called BeginNGS™ (pronounced “beginnings”) to screen newborns for approximately 500 genetic diseases that have known treatment options using rapid Whole Genome Sequencing (rWGS®). BeginNGS uses rWGS to diagnose and identify treatment options for genetic conditions before symptoms begin, an advancement over current pediatric uses of rWGS that focus mainly on children who are already critically ill. Once a diagnosis is made, BeginNGS uses Genome-to-Treatment (GTRx™), a tool that provides immediate treatment guidelines for physicians to help them understand genetic conditions and their available treatment options, which may include therapeutics, dietary changes, surgery, medical devices or other interventions.
Co-authors include : Mallory J. Owen, Meredith S. Wright, Sergey Batalov, Yonghyun Kwon, Yan Ding, Kevin Chau, Shimul Chowdhury, Nathaly Sweeney, Elizabeth Kiernan, Andrew Richardson, Emily Batton, Rebecca Baer, Gretchen Bandoli, Joseph Gleeson, Matthew Bainbridge, Christina D. Chambers.
Funding for this research came from : Ernest and Evelyn Rady, Rady Children’s Hospital, the J. Willard and Alice S. Marriott Foundation, and grants HD101540 and HL145175 from the NIH.
About Rady Children’s Institute for Genomic Medicine:
We are transforming pediatric critical care by advancing disease-specific healthcare for infants and children with rare disease. Discoveries at the Institute are enabling rapid diagnosis and targeted treatment of critically ill newborns and pediatric patients at Rady Children’s Hospital-San Diego and a growing network of more than 90 children’s hospitals nationwide. The vision is to expand delivery of this life-changing technology to enable the practice of Rapid Precision Medicine™ at children’s hospitals across the nation and the world. RCIGM is a non-profit, research institute embedded within Rady Children’s Hospital and Health Center. Learn more at RadyGenomics.org . Follow us on Twitter and LinkedIn .
JAMA Network Open
10.1001/jamanetworkopen.2022.54069
Data/statistical analysis
People
Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing
9-Feb-2023