1. Genomic answers for children: Dynamic analyses of >1000 pediatric rare disease genomes
- Author
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Ana S.A. Cohen, Emily G. Farrow, Ahmed T. Abdelmoity, Joseph T. Alaimo, Shivarajan M. Amudhavalli, John T. Anderson, Lalit Bansal, Lauren 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 L. Engleman, Erin D. Fecske, Cynthia Fieser, Keely Fitzgerald, Emily A. Fleming, Randi N. Gadea, Jennifer L. Gannon, Rose N. Gelineau-Morel, Margaret Gibson, Jeffrey Goldstein, Elin Grundberg, Kelsee Halpin, Brian S. Harvey, Bryce A. Heese, Wendy Hein, Suzanne M. Herd, Susan S. Hughes, Mohammed Ilyas, Jill Jacobson, Janda L. Jenkins, Shao Jiang, Jeffrey J. Johnston, Kathryn Keeler, Jonas Korlach, Jennifer Kussmann, Christine Lambert, Caitlin Lawson, Jean-Baptiste Le Pichon, James 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 F. Quezada, Nikita Raje, William J. Rowell, Eric T. Rush, Venkatesh Sampath, Carol J. Saunders, Caitlin Schwager, Richard M. Schwend, Elizabeth Shaffer, Craig Smail, Sarah Soden, Meghan E. Strenk, Bonnie R. Sullivan, Brooke R. Sweeney, Jade B. Tam-Williams, Adam M. Walter, Holly Welsh, Aaron M. Wenger, Laurel K. Willig, Yun Yan, Scott T. Younger, Dihong Zhou, Tricia N. Zion, Isabelle Thiffault, and Tomi Pastinen
- Subjects
Genome ,Rare Diseases ,High-Throughput Nucleotide Sequencing ,Humans ,Genomics ,Sequence Analysis, DNA ,Child ,Genetics (clinical) ,Pedigree - Abstract
This study aimed to provide comprehensive diagnostic and candidate analyses in a pediatric rare disease cohort through the Genomic Answers for Kids program.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.Diagnostic rates ranged from 11% in patients with prior negative genetic testing to 34.5% in naive patients. Incorporating SVs from genome sequencing added up to 13% of new diagnoses in previously unsolved cases. HiFi-GS yielded increased discovery rate with4-fold more rare coding SVs compared with srGS. Variants and genes of unknown significance remain the most common finding (58% of nondiagnostic cases).Computational prioritization is efficient for diagnostic SNVs. Thorough identification of non-SNVs remains challenging and is partly mitigated using HiFi-GS sequencing. Importantly, community research is supported by sharing real-time data to accelerate gene validation and by providing HiFi variant (SNV/SV) resources from1000 human alleles to facilitate implementation of new sequencing platforms for rare disease diagnoses.
- Published
- 2022
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