Selection of Genetic Conditions for Multi-State Genomic Newborn Screening in BEACONS-NBS
Gold, N. B.; Johnson, B. A.; Somanchi, H.; Minten, T.; Coury, S. A.; Blout Zawatsky, C.; Begtrup, A.; Butler, E.; Langley, K. G.; Zimmerman, R.; McLaughlin, H. M.; Ellefson, T.; Kern, A.; Rehm, H. L.; Bick, D.; Brenner, S. E.; Kasperaviciute, D.; Abraham, R. S.; Aksentijevich, I.; Babinski, M.; Billington, C. J.; Butte, M. J.; Canna, S. W.; Caron, M.; Chan, Y.-M.; Chandrakasan, S.; Chiang, S. C. C.; Delmonte, O. M.; Diller, L. R.; Downie, L.; Fleischer, J.; Fulton, A.; Ganetzky, R. D.; Gold, J.; Goldbach-Mansky, R.; Grunebaum, E.; Hale, R. C.; Hamosh, A.; Hildebrandt, F.; Holtz, A. M.; Jacobse
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Introduction: BEACONS-NBS (Building Evidence and Collaboration for GenOmics in Nationwide Newborn Screening) is the first research study to integrate whole genome sequencing into newborn screening (NBS) across multiple U.S. states and territorial public health laboratory programs (PHLPs). We developed a list of conditions for screening. Methods: We designed inclusion criteria and assembled an initial condition list from published resources. The list was revised by clinical experts, molecular geneticists, genetic counselors, PHLPs, rare disease advocacy organizations, the BEACONS-NBS Community Advisory Board, and project leadership from the National Institutes of Health. For each condition, we provided a rationale for early detection, diagnostic signs or biomarkers, and treatments or surveillance strategies. Results: The BEACONS-NBS condition list includes 777 conditions associated with 743 genes, one copy number variant, and two aneuploidies and is larger than those used in other genomic NBS research studies in the U.S. and United Kingdom. Most conditions are inborn errors of immunity (37.2%), inherited metabolic disorders (18.7%), or endocrine conditions (18.1%). Nearly all conditions (93.3%) can be confirmed using a non-genetic test. Discussion: BEACONS-NBS has established a condition list for implementation across multiple state and territorial PHLPs, enabling the prospective evaluation of feasibility of population-wide genomic NBS.
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