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Genomic Answers For Children: Dynamic Analyses Of >1000 Pediatric Rare Disease Genomes., Ana S A Cohen, Emily G. Farrow, Ahmed Abdelmoity, Joseph Alaimo, Shivarajan Manickavasagam Amudhavalli, John Anderson, Lalit R. Bansal, Lauren E. Bartik, Primo Baybayan, Bradley Belden, Courtney D. Berrios, Rebecca L. Biswell, Pawel Buczkowicz, Orion Buske, Shreyasee Chakraborty, Warren A. Cheung, Keith A. Coffman, Ashley M. Cooper, Laura A. Cross, Tom Curran, Thuy Tien T. Dang, Mary M. Elfrink, Kendra Engleman, Erin Day Fecske, Cynthia Fieser, Keely M. Fitzgerald, Emily Fleming, Randi N. Gadea, Jennifer L. Gannon, Rose N. Gelineau-Morel, Margaret Gibson, Jeffrey Goldstein, Elin Grundberg, Kelsee Halpin, Brian S. Harvey, Bryce Heese, Wendy Hein, Suzanne M. Herd, Susan Starling Hughes, Mohammed Ilyas, Jill Jacobson, Janda L. Jenkins, Shao Jiang, Jeffrey J. Johnston, Kathryn Keeler, Jonas Korlach, Jennifer Kussman, Christine Lambert, Caitlin E. Lawson, Jean-Baptist Lepichon, J Steven Leeder, Vicki C. Little, Daniel A. Louiselle, Michael Lypka, Brittany D. Mcdonald, Neil Miller, Ann Modrcin, Annapoorna Nair, Shelby H. Neal, Christopher M. Oermann, Donna M. Pacicca, Kailash Pawar, Nyshele L. Posey, Nigel Price, Laura M B Puckett, Julio Quezada, Nikita Raje, William J. Rowell, Eric T. Rush, Venkatesh Sampath, Carol J. Saunders, Caitlin Schwager, Richard M. Schwend, Elizabeth Shaffer, Craig Smail, Sarah E. Soden, Meghan Strenk, Bonnie Sullivan, Brooke Sweeney, Jade B. Tam-Williams, Adam Walter, Holly Welsh, Aaron M. Wenger, Laurel K. Willig, Yun Yan, Scott T. Younger, Dihong Zhou, Tricia N. Zion, Isabelle Thiffault, Tomi Pastinen

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PURPOSE: This study aimed to provide comprehensive diagnostic and candidate analyses in a pediatric rare disease cohort through the Genomic Answers for Kids program.

METHODS: Extensive analyses of 960 families with suspected genetic disorders included short-read exome sequencing and short-read genome sequencing (srGS); PacBio HiFi long-read genome sequencing (HiFi-GS); variant calling for single nucleotide variants (SNV), structural variant (SV), and repeat variants; and machine-learning variant prioritization. Structured phenotypes, prioritized variants, and pedigrees were stored in PhenoTips database, with data sharing through controlled access the database of Genotypes and Phenotypes.

RESULTS: Diagnostic rates ranged from 11% in patients with prior negative …