Medical Evaluation of Unanticipated Monogenic Disease Risks Identified through Newborn Genomic Screening: Findings from the BabySeq Project
Robert C. GreeniD, Nidhi D ShahiD, Casie A. GenettiiD, Timothy W. YuiD, Bethany ZettleriD, Talia S. SchwartziD, Melissa Kurtz UvegesiD, Ozge Ceyhan‐BirsoyiD, Matthew S. LeboiD, Stacey PereiraiD, Pankaj B. AgrawaliD, Richard B. ParadiD, Amy L. McGuireiD, Kurt Derek ChristenseniD, Heidi L. RehmiD, Ingrid A. HolmiD, Alan H. BeggsiD, the BabySeq Project
Abstract
Genomic sequencing of healthy newborns to screen for medically important genetic information has long been anticipated but data around downstream medical consequences are lacking. Among 159 infants randomized to the sequencing arm in the BabySeq Project, an unanticipated monogenic disease risk (uMDR) was discovered in 18 (11.3%). We assessed uMDR actionability by visualizing scores from a modified ClinGen Actionability SemiQuantitative Metric and tracked medical outcomes in these infants for 3-5 years. All uMDRs scored as highly actionable (mean 9, range: 7-11 on a 0-12 scale) and had readily available clinical interventions. In 4 cases, uMDRs revealed unsuspected genetic etiologies for existing phenotypes, and in the remaining 14 cases provided risk stratification for future surveillance. In 8 cases, uMDRs prompted screening for multiple at-risk family members. These results suggest that actionable uMDRs are more common than previously thought and support ongoing efforts to evaluate population-based newborn genomic screening.
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