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      Integrated multi-omics for rapid rare disease diagnosis on a national scale

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      Nature Medicine
      Nature Publishing Group US
      Diseases, Genetics research, Translational research

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          Abstract

          Critically ill infants and children with rare diseases need equitable access to rapid and accurate diagnosis to direct clinical management. Over 2 years, the Acute Care Genomics program provided whole-genome sequencing to 290 families whose critically ill infants and children were admitted to hospitals throughout Australia with suspected genetic conditions. The average time to result was 2.9 d and diagnostic yield was 47%. We performed additional bioinformatic analyses and transcriptome sequencing in all patients who remained undiagnosed. Long-read sequencing and functional assays, ranging from clinically accredited enzyme analysis to bespoke quantitative proteomics, were deployed in selected cases. This resulted in an additional 19 diagnoses and an overall diagnostic yield of 54%. Diagnostic variants ranged from structural chromosomal abnormalities through to an intronic retrotransposon, disrupting splicing. Critical care management changed in 120 diagnosed patients (77%). This included major impacts, such as informing precision treatments, surgical and transplant decisions and palliation, in 94 patients (60%). Our results provide preliminary evidence of the clinical utility of integrating multi-omic approaches into mainstream diagnostic practice to fully realize the potential of rare disease genomic testing in a timely manner.

          Abstract

          A report from the Australian Acute Care Genomics programme shows that the integration of rapid whole-genome sequencing and multi-omic analyses informs diagnoses and treatment decisions in a prospective cohort of 290 critically ill infants and children.

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          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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                Author and article information

                Contributors
                zornitza.stark@vcgs.org.au
                Journal
                Nat Med
                Nat Med
                Nature Medicine
                Nature Publishing Group US (New York )
                1078-8956
                1546-170X
                8 June 2023
                8 June 2023
                2023
                : 29
                : 7
                : 1681-1691
                Affiliations
                [1 ]GRID grid.1058.c, ISNI 0000 0000 9442 535X, Victorian Clinical Genetics Services, , Murdoch Children’s Research Institute, ; Melbourne, Victoria Australia
                [2 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Medicine, Dentistry and Health Sciences, University of Melbourne, ; Melbourne, Victoria Australia
                [3 ]Australian Genomics, Melbourne, Victoria Australia
                [4 ]GRID grid.416100.2, ISNI 0000 0001 0688 4634, Genetic Health Queensland, Royal Brisbane and Women’s Hospital, ; Brisbane, Queensland Australia
                [5 ]GRID grid.430417.5, ISNI 0000 0004 0640 6474, Sydney Children’s Hospitals Network – Westmead, ; Sydney, New South Wales Australia
                [6 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Children’s Hospital Westmead Clinical School, University of Sydney, ; Sydney, New South Wales Australia
                [7 ]GRID grid.430417.5, ISNI 0000 0004 0640 6474, Sydney Children’s Hospitals Network – Randwick, ; Sydney, New South Wales Australia
                [8 ]GRID grid.1005.4, ISNI 0000 0004 4902 0432, Medicine and Health, University of New South Wales, ; Sydney, New South Wales Australia
                [9 ]GRID grid.419789.a, ISNI 0000 0000 9295 3933, Monash Genetics, Monash Health, ; Melbourne, Victoria Australia
                [10 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Department of Paediatrics, , Monash University, ; Melbourne, Victoria Australia
                [11 ]GRID grid.1694.a, Paediatric and Reproductive Genetics Unit, , Women’s and Children’s Hospital, ; North Adelaide, South Australia Australia
                [12 ]GRID grid.414733.6, ISNI 0000 0001 2294 430X, Department of Genetics and Molecular Pathology, , SA Pathology, ; Adelaide, South Australia Australia
                [13 ]GRID grid.1010.0, ISNI 0000 0004 1936 7304, Adelaide Medical School, , The University of Adelaide, ; Adelaide, South Australia Australia
                [14 ]Tasmanian Clinical Genetics Service, Tasmanian Health Service, Hobart, Tasmania Australia
                [15 ]GRID grid.1009.8, ISNI 0000 0004 1936 826X, School of Medicine and Menzies Institute for Medical Research, , University of Tasmania, ; Hobart, Tasmania Australia
                [16 ]GRID grid.413880.6, ISNI 0000 0004 0453 2856, Genetic Services of Western Australia, ; Perth, Western Australia Australia
                [17 ]GRID grid.413314.0, ISNI 0000 0000 9984 5644, Department of Clinical Genetics, , The Canberra Hospital, ; Canberra, Australian Capital Territory Australia
                [18 ]GRID grid.1026.5, ISNI 0000 0000 8994 5086, Centre for Cancer Biology, , An alliance between SA Pathology and the University of South Australia, ; Adelaide, South Australia
                [19 ]GRID grid.1026.5, ISNI 0000 0000 8994 5086, UniSA Clinical and Health Sciences, , University of South Australia, ; Adelaide, South Australia Australia
                [20 ]GRID grid.1058.c, ISNI 0000 0000 9442 535X, Murdoch Children’s Research Institute, ; Melbourne, Victoria Australia
                Author information
                http://orcid.org/0000-0002-7168-0723
                http://orcid.org/0000-0002-4749-4883
                http://orcid.org/0000-0003-2305-2033
                http://orcid.org/0000-0001-8455-7778
                http://orcid.org/0000-0002-6257-4304
                http://orcid.org/0000-0002-1662-3355
                http://orcid.org/0000-0002-4408-2613
                http://orcid.org/0000-0002-6742-6239
                http://orcid.org/0000-0002-5813-631X
                http://orcid.org/0000-0003-0133-7994
                http://orcid.org/0000-0002-2304-3834
                http://orcid.org/0000-0003-3966-5109
                http://orcid.org/0000-0001-5248-4121
                http://orcid.org/0000-0002-7445-9207
                http://orcid.org/0000-0002-2725-7055
                http://orcid.org/0000-0002-7725-9470
                http://orcid.org/0000-0002-8431-0641
                http://orcid.org/0000-0001-8640-1371
                Article
                2401
                10.1038/s41591-023-02401-9
                10353936
                37291213
                d6bf8aa5-1a9b-4d86-83d4-1c3fd46f7b20
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 December 2022
                : 12 May 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000925, Department of Health | National Health and Medical Research Council (NHMRC);
                Award ID: GNT2009732
                Award ID: GNT1164479
                Award Recipient :
                Funded by: Medical Research Futures Fund, GHFM76747;Royal Children’s Hospital Foundation 2020-1259; Queensland Genomics
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                © Springer Nature America, Inc. 2023

                Medicine
                diseases,genetics research,translational research
                Medicine
                diseases, genetics research, translational research

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