1
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Chad L, Anderson J, Cagliero D, Hayeems RZ, Ly LG, Szuto A. Rapid Genetic Testing in Pediatric and Neonatal Critical Care: A Scoping Review of Emerging Ethical Issues. Hosp Pediatr 2022; 12:e347-e359. [PMID: 36161483 DOI: 10.1542/hpeds.2022-006654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Rapid genome-wide sequencing (rGWS) is being increasingly used to aid in prognostication and decision-making for critically ill newborns and children. Although its feasibility in this fast-paced setting has been described, this new paradigm of inpatient genetic care raises new ethical challenges. OBJECTIVE A scoping review was performed to (1) identify salient ethical issues in this area of practice; and (2) bring attention to gaps and ethical tensions that warrant more deliberate exploration. METHODS Data sources, Ovid Medline and Cochrane Central Register of Controlled Trials, were searched up to November 2021. Articles included were those in English relating to rGWS deployed rapidly in a critical care setting. Publications were examined for ethical themes and were further characterized as including a superficial or in-depth discussion of that theme. New themes were inductively identified as they emerged. RESULTS Ninety-nine studies, published in 2012 or thereafter, met inclusion criteria. Themes identified elaborated upon established ethical principles related to beneficence and nonmaleficence (ie, clinical utility, medical uncertainty, impact on family, and data security) autonomy (ie, informed consent), and justice (ie, resource allocation and disability rights). Many themes were only narrowly discussed. CONCLUSIONS The application of rGWS in neonatal and pediatric acute care is inherently tied to ethically charged issues, some of which are reported here. Attention to the ethical costs and benefits of rGWS is not always discussed, with important gaps and unanswered questions that call for ongoing focus on these ethical considerations in this next application of acute care genomics.
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Affiliation(s)
- Lauren Chad
- Divisions of Clinical and Metabolic Genetics.,Departments of Bioethics.,Departments of Paediatrics
| | | | | | - Robin Z Hayeems
- Child Health Evaluative Sciences, Hospital for Sick Children Research Institute,Toronto, Ontario, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto,Toronto, Ontario, Canada
| | - Linh G Ly
- Neonatology.,Departments of Paediatrics
| | - Anna Szuto
- Genetic Counselling, Hospital for Sick Children,Toronto, Ontario, Canada.,Molecular Genetics
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2
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De La Vega FM, Chowdhury S, Moore B, Frise E, McCarthy J, Hernandez EJ, Wong T, James K, Guidugli L, Agrawal PB, Genetti CA, Brownstein CA, Beggs AH, Löscher BS, Franke A, Boone B, Levy SE, Õunap K, Pajusalu S, Huentelman M, Ramsey K, Naymik M, Narayanan V, Veeraraghavan N, Billings P, Reese MG, Yandell M, Kingsmore SF. Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases. Genome Med 2021; 13:153. [PMID: 34645491 PMCID: PMC8515723 DOI: 10.1186/s13073-021-00965-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 08/27/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Clinical interpretation of genetic variants in the context of the patient's phenotype is becoming the largest component of cost and time expenditure for genome-based diagnosis of rare genetic diseases. Artificial intelligence (AI) holds promise to greatly simplify and speed genome interpretation by integrating predictive methods with the growing knowledge of genetic disease. Here we assess the diagnostic performance of Fabric GEM, a new, AI-based, clinical decision support tool for expediting genome interpretation. METHODS We benchmarked GEM in a retrospective cohort of 119 probands, mostly NICU infants, diagnosed with rare genetic diseases, who received whole-genome or whole-exome sequencing (WGS, WES). We replicated our analyses in a separate cohort of 60 cases collected from five academic medical centers. For comparison, we also analyzed these cases with current state-of-the-art variant prioritization tools. Included in the comparisons were trio, duo, and singleton cases. Variants underpinning diagnoses spanned diverse modes of inheritance and types, including structural variants (SVs). Patient phenotypes were extracted from clinical notes by two means: manually and using an automated clinical natural language processing (CNLP) tool. Finally, 14 previously unsolved cases were reanalyzed. RESULTS GEM ranked over 90% of the causal genes among the top or second candidate and prioritized for review a median of 3 candidate genes per case, using either manually curated or CNLP-derived phenotype descriptions. Ranking of trios and duos was unchanged when analyzed as singletons. In 17 of 20 cases with diagnostic SVs, GEM identified the causal SVs as the top candidate and in 19/20 within the top five, irrespective of whether SV calls were provided or inferred ab initio by GEM using its own internal SV detection algorithm. GEM showed similar performance in absence of parental genotypes. Analysis of 14 previously unsolved cases resulted in a novel finding for one case, candidates ultimately not advanced upon manual review for 3 cases, and no new findings for 10 cases. CONCLUSIONS GEM enabled diagnostic interpretation inclusive of all variant types through automated nomination of a very short list of candidate genes and disorders for final review and reporting. In combination with deep phenotyping by CNLP, GEM enables substantial automation of genetic disease diagnosis, potentially decreasing cost and expediting case review.
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Affiliation(s)
- Francisco M. De La Vega
- Fabric Genomics Inc., Oakland, CA USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA USA
- Current Address: Tempus Labs Inc., Redwood City, CA 94065 USA
| | - Shimul Chowdhury
- Rady Children’s Institute for Genomic Medicine, San Diego, CA USA
| | - Barry Moore
- Department of Human Genetics, Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT USA
| | | | | | - Edgar Javier Hernandez
- Department of Human Genetics, Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT USA
| | - Terence Wong
- Rady Children’s Institute for Genomic Medicine, San Diego, CA USA
| | - Kiely James
- Rady Children’s Institute for Genomic Medicine, San Diego, CA USA
| | - Lucia Guidugli
- Rady Children’s Institute for Genomic Medicine, San Diego, CA USA
| | - Pankaj B. Agrawal
- Division of Genetics and Genomics, The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA USA
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA USA
| | - Casie A. Genetti
- Division of Genetics and Genomics, The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA USA
| | - Catherine A. Brownstein
- Division of Genetics and Genomics, The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA USA
| | - Alan H. Beggs
- Division of Genetics and Genomics, The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA USA
| | - Britt-Sabina Löscher
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel & University Hospital Schleswig-Holstein, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel & University Hospital Schleswig-Holstein, Kiel, Germany
| | - Braden Boone
- HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Shawn E. Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Katrin Õunap
- Department of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Sander Pajusalu
- Department of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Matt Huentelman
- Center for Rare Childhood Disorders, Translational Genomics Research Institute, Phoenix, AZ USA
| | - Keri Ramsey
- Center for Rare Childhood Disorders, Translational Genomics Research Institute, Phoenix, AZ USA
| | - Marcus Naymik
- Center for Rare Childhood Disorders, Translational Genomics Research Institute, Phoenix, AZ USA
| | - Vinodh Narayanan
- Center for Rare Childhood Disorders, Translational Genomics Research Institute, Phoenix, AZ USA
| | | | | | | | - Mark Yandell
- Fabric Genomics Inc., Oakland, CA USA
- Department of Human Genetics, Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT USA
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3
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Kingsmore SF, Henderson A, Owen MJ, Clark MM, Hansen C, Dimmock D, Chambers CD, Jeliffe-Pawlowski LL, Hobbs C. Measurement of genetic diseases as a cause of mortality in infants receiving whole genome sequencing. NPJ Genom Med 2020; 5:49. [PMID: 33154820 PMCID: PMC7608690 DOI: 10.1038/s41525-020-00155-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 10/02/2020] [Indexed: 12/19/2022] Open
Abstract
Understanding causes of infant mortality shapes public health policy and prioritizes diseases for investments in surveillance, intervention and medical research. Rapid genomic sequencing has created a novel opportunity to decrease infant mortality associated with treatable genetic diseases. Herein, we sought to measure the contribution of genetic diseases to mortality among infants by secondary analysis of babies enrolled in two clinical studies and a systematic literature review. Among 312 infants who had been admitted to an ICU at Rady Children's Hospital between November 2015 and September 2018 and received rapid genomic sequencing, 30 (10%) died in infancy. Ten (33%) of the infants who died were diagnosed with 11 genetic diseases. The San Diego Study of Outcomes in Mothers and Infants platform identified differences between in-hospital and out-of-hospital causes of infant death. Similarly, in six published studies, 195 (21%) of 918 infant deaths were associated with genetic diseases by genomic sequencing. In 195 infant deaths associated with genetic diseases, locus heterogeneity was 70%. Treatment guidelines existed for 70% of the genetic diseases diagnosed, suggesting that rapid genomic sequencing has substantial potential to decrease infant mortality among infants in ICUs. Further studies are needed in larger, comprehensive, unbiased patient sets to determine the generalizability of these findings.
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Affiliation(s)
| | - Audrey Henderson
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - Mallory J. Owen
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - Michelle M. Clark
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - Christian Hansen
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - David Dimmock
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | | | - Laura L. Jeliffe-Pawlowski
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA USA
| | - Charlotte Hobbs
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
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4
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Mukhina AA, Kuzmenko NB, Rodina YA, Kondratenko IV, Bologov AA, Latysheva TV, Prodeus AP, Pampura AN, Balashov DN, Ilyina NI, Latysheva EA, Deordieva EA, Shvets OA, Deripapa EV, Abramova IN, Pashenko OE, Vahlyarskaya SS, Zinovyeva NV, Zimin SB, Skorobogatova EV, Machneva EB, Fomina DS, Ipatova MG, Barycheva LY, Khachirova LS, Tuzankina IA, Bolkov MA, Shakhova NV, Kamaltynova EM, Sibgatullina FI, Guseva MN, Kuznetsova RN, Milichkina AM, Totolian AA, Kalinina NM, Goltsman EA, Sulima EI, Kutlyanceva AY, Moiseeva AA, Khoreva AL, Nesterenko Z, Tymofeeva EV, Ermakova A, Proligina DD, Kalmetieva LR, Davletbaieva GA, Mirsayapova IA, Richkova OA, Kuzmicheva KP, Grakhova MA, Yudina NB, Orlova EA, Selezneva OS, Piskunova SG, Samofalova TV, Bukina TV, Pechkurova AD, Migacheva N, Zhestkov A, Barmina EV, Parfenova NA, Isakova SN, Averina EV, Sazonova IV, Starikova SY, Shilova TV, Asekretova TV, Suprun RN, Kleshchenko EI, Lebedev VV, Demikhova EV, Demikhov VG, Kalinkina VA, Gorenkova AV, Duryagina SN, Pavlova TB, Shinkareva VM, Smoleva IV, Aleksandrova TP, Bambaeva ZV, Philippova MA, Gracheva EM, Tcyvkina GI, Efremenkov AV, Mashkovskaya D, Yarovaya IV, Alekseenko VA, Fisyun IV, Molokova GV, Troitskya EV, Piatkina LI, Vlasova EV, Ukhanova O, Chernishova EG, Vasilieva M, Laba OM, Volodina E, Safonova EV, Voronin KA, Gurkina MV, Rumyantsev AG, Novichkova GA, Shcherbina AY. Primary Immunodeficiencies in Russia: Data From the National Registry. Front Immunol 2020; 11:1491. [PMID: 32849507 PMCID: PMC7424007 DOI: 10.3389/fimmu.2020.01491] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 06/08/2020] [Indexed: 11/13/2022] Open
Abstract
Introduction: Primary immunodeficiencies (PID) are a group of rare genetic disorders with a multitude of clinical symptoms. Characterization of epidemiological and clinical data via national registries has proven to be a valuable tool of studying these diseases. Materials and Methods: The Russian PID registry was set up in 2017, by the National Association of Experts in PID (NAEPID). It is a secure, internet-based database that includes detailed clinical, laboratory, and therapeutic data on PID patients of all ages. Results: The registry contained information on 2,728 patients (60% males, 40% females), from all Federal Districts of the Russian Federation. 1,851/2,728 (68%) were alive, 1,426/1,851 (77%) were children and 425/1,851 (23%) were adults. PID was diagnosed before the age of 18 in 2,192 patients (88%). Antibody defects (699; 26%) and syndromic PID (591; 22%) were the most common groups of PID. The minimum overall PID prevalence in the Russian population was 1.3:100,000 people; the estimated PID birth rate is 5.7 per 100,000 live births. The number of newly diagnosed patients per year increased dramatically, reaching the maximum of 331 patients in 2018. The overall mortality rate was 9.8%. Genetic testing has been performed in 1,740 patients and genetic defects were identified in 1,344 of them (77.2%). The median diagnostic delay was 2 years; this varied from 4 months to 11 years, depending on the PID category. The shortest time to diagnosis was noted in the combined PIDs-in WAS, DGS, and CGD. The longest delay was observed in AT, NBS, and in the most prevalent adult PID: HAE and CVID. Of the patients, 1,622 had symptomatic treatment information: 843 (52%) received IG treatment, mainly IVIG (96%), and 414 (25%) patients were treated with biological drugs. HSCT has been performed in 342/2,728 (16%) patients, of whom 67% are currently alive, 17% deceased, and 16% lost to follow-up. Three patients underwent gene therapy for WAS; all are currently alive. Conclusions: Here, we describe our first analysis of the epidemiological features of PID in Russia, allowing us to highlight the main challenges around PID diagnosis and treatment.
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Affiliation(s)
- Anna A Mukhina
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Natalya B Kuzmenko
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Yulia A Rodina
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Irina V Kondratenko
- Russian Children's Clinical Hospital of the N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia, Moscow, Russia
| | - Andrei A Bologov
- Russian Children's Clinical Hospital of the N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia, Moscow, Russia
| | - Tatiana V Latysheva
- National Research Center Institute of Immunology, Federal Biomedical Agency of Russia, Moscow, Russia
| | - Andrei P Prodeus
- Speransky Children's Municipal Clinical Hospital #9, Moscow, Russia
| | - Alexander N Pampura
- Research and Clinical Institute for Pediatrics named After Academician Yuri Veltischev of the Pirogov Russian National Research Medical University of the Russian Ministry of Health, Moscow, Russia
| | - Dmitrii N Balashov
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Natalya I Ilyina
- National Research Center Institute of Immunology, Federal Biomedical Agency of Russia, Moscow, Russia
| | - Elena A Latysheva
- National Research Center Institute of Immunology, Federal Biomedical Agency of Russia, Moscow, Russia
| | - Ekaterina A Deordieva
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Oksana A Shvets
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Elena V Deripapa
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Irina N Abramova
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Olga E Pashenko
- Russian Children's Clinical Hospital of the N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia, Moscow, Russia
| | - Svetlana S Vahlyarskaya
- Russian Children's Clinical Hospital of the N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia, Moscow, Russia
| | | | - Sergei B Zimin
- Speransky Children's Municipal Clinical Hospital #9, Moscow, Russia
| | - Elena V Skorobogatova
- Russian Children's Clinical Hospital of the N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia, Moscow, Russia
| | - Elena B Machneva
- Russian Children's Clinical Hospital of the N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia, Moscow, Russia
| | - Daria S Fomina
- Allergy and Immunology Centre, Clinical Hospital, Moscow, Russia.,Sechenov First Moscow State Medical University, Moscow, Russia
| | - Maria G Ipatova
- Filatov Children's Municipal Clinical Hospital, Moscow, Russia
| | - Ludmila Yu Barycheva
- Stavropol State Medical University, Stavropol, Russia.,Regional Pediatric Clinical Hospital, Stavropol, Russia
| | | | - Irina A Tuzankina
- Institute of Immunology and Physiology-Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia
| | - Michail A Bolkov
- Institute of Immunology and Physiology-Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia
| | | | - Elena M Kamaltynova
- Department of Health of Tomsk Region, Tomsk, Russia.,Regional Children's Hospital, Tomsk, Russia.,Siberian State Medical University, Tomsk, Russia
| | | | - Marina N Guseva
- Saint-Petersburg Pasteur Institute, Saint-Petersburg, Russia.,Saint-Petersburg State Pediatric Medical University, Saint-Petersburg, Russia
| | | | | | - Areg A Totolian
- Saint-Petersburg Pasteur Institute, Saint-Petersburg, Russia
| | | | - Evgenia A Goltsman
- Saint-Petersburg State Pediatric Medical University, Saint-Petersburg, Russia
| | | | - Anastasia Yu Kutlyanceva
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Anna A Moiseeva
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Anna L Khoreva
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Zoya Nesterenko
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | | | - A Ermakova
- Regional Pediatric Clinical Hospital, Nizhny Novgorod, Russia
| | - Dilyara D Proligina
- Republican Children's Clinical Hospital, Republic of Bashkortostan, Ufa, Russia
| | - Linara R Kalmetieva
- Republican Children's Clinical Hospital, Republic of Bashkortostan, Ufa, Russia
| | | | - Irina A Mirsayapova
- Republican Children's Clinical Hospital, Republic of Bashkortostan, Ufa, Russia
| | | | | | | | | | | | - Olga S Selezneva
- Rostov-na-Donu Regional Pediatric Clinical Hospital, Rostov-na-Donu, Russia
| | | | | | | | | | - N Migacheva
- Samara State Medical University, Samara, Russia
| | - A Zhestkov
- Samara State Medical University, Samara, Russia
| | | | | | - Svetlana N Isakova
- Federal State Budgetary Scientific Research Institute of Fundamental and Clinical Immunology, Novosibirsk, Russia
| | | | | | | | - Tatiana V Shilova
- Federal State Budgetary Educational Institution of Higher Education "South-Ural State Medical University" of the Ministry of Healthcare of the Russian Federation, Chelyabinsk, Russia
| | | | | | | | | | | | | | - Veronica A Kalinkina
- Department of Health of Khanty-Mansi Autonomous Region-Yugra, Khanty-Mansi, Russia
| | | | | | - Tatiana B Pavlova
- Irkutsk Regional Pediatric Hospital, Allergy and Immunology, Irkutsk, Russia
| | - Vera M Shinkareva
- Irkutsk Regional Pediatric Hospital, Allergy and Immunology, Irkutsk, Russia
| | | | | | - Zema V Bambaeva
- Children's Republican Clinical Hospital of Buryatiya, Ulan-Ude, Russia
| | | | | | - Galina I Tcyvkina
- Regional Clinical Allergy and Immunology Center, Vladivostok, Russia
| | | | | | | | | | | | | | | | | | | | - O Ukhanova
- Regional Clinical Hospital, Stavropol, Russia.,Regional Pediatric Hospital, Tula, Russia
| | | | - M Vasilieva
- Center of Allergy and Clinical Immunology, Regional Clinical Hospital named after Professor S.I. Sergeev, Khabarovsk, Russia
| | - Olga M Laba
- Regional Pediatric Hospital, Yaroslavl, Russia
| | | | - Ekaterina V Safonova
- Regional Clinical Center of Maternity and Childhood Protection, Krasnoyarsk, Russia
| | - Kirill A Voronin
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Maria V Gurkina
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Alexander G Rumyantsev
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Galina A Novichkova
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Anna Yu Shcherbina
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
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5
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Zhao M, Havrilla JM, Fang L, Chen Y, Peng J, Liu C, Wu C, Sarmady M, Botas P, Isla J, Lyon GJ, Weng C, Wang K. Phen2Gene: rapid phenotype-driven gene prioritization for rare diseases. NAR Genom Bioinform 2020; 2:lqaa032. [PMID: 32500119 PMCID: PMC7252576 DOI: 10.1093/nargab/lqaa032] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/10/2020] [Accepted: 04/28/2020] [Indexed: 02/07/2023] Open
Abstract
Human Phenotype Ontology (HPO) terms are increasingly used in diagnostic settings to aid in the characterization of patient phenotypes. The HPO annotation database is updated frequently and can provide detailed phenotype knowledge on various human diseases, and many HPO terms are now mapped to candidate causal genes with binary relationships. To further improve the genetic diagnosis of rare diseases, we incorporated these HPO annotations, gene-disease databases and gene-gene databases in a probabilistic model to build a novel HPO-driven gene prioritization tool, Phen2Gene. Phen2Gene accesses a database built upon this information called the HPO2Gene Knowledgebase (H2GKB), which provides weighted and ranked gene lists for every HPO term. Phen2Gene is then able to access the H2GKB for patient-specific lists of HPO terms or PhenoPacket descriptions supported by GA4GH (http://phenopackets.org/), calculate a prioritized gene list based on a probabilistic model and output gene-disease relationships with great accuracy. Phen2Gene outperforms existing gene prioritization tools in speed and acts as a real-time phenotype-driven gene prioritization tool to aid the clinical diagnosis of rare undiagnosed diseases. In addition to a command line tool released under the MIT license (https://github.com/WGLab/Phen2Gene), we also developed a web server and web service (https://phen2gene.wglab.org/) for running the tool via web interface or RESTful API queries. Finally, we have curated a large amount of benchmarking data for phenotype-to-gene tools involving 197 patients across 76 scientific articles and 85 patients' de-identified HPO term data from the Children's Hospital of Philadelphia.
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Affiliation(s)
- Mengge Zhao
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - James M Havrilla
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Li Fang
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Ying Chen
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jacqueline Peng
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Cong Liu
- Department of Biomedical Informatics, Columbia University Medical Center, New York, NY 10032, USA
| | - Chao Wu
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Mahdi Sarmady
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Pablo Botas
- Foundation 29, Pozuelo de Alarcon, 28223 Madrid, Spain
| | - Julián Isla
- Foundation 29, Pozuelo de Alarcon, 28223 Madrid, Spain.,Dravet Syndrome European Federation, 29200 Brest, France
| | - Gholson J Lyon
- Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY 10314, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University Medical Center, New York, NY 10032, USA
| | - Kai Wang
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
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6
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Clark MM, Hildreth A, Batalov S, Ding Y, Chowdhury S, Watkins K, Ellsworth K, Camp B, Kint CI, Yacoubian C, Farnaes L, Bainbridge MN, Beebe C, Braun JJA, Bray M, Carroll J, Cakici JA, Caylor SA, Clarke C, Creed MP, Friedman J, Frith A, Gain R, Gaughran M, George S, Gilmer S, Gleeson J, Gore J, Grunenwald H, Hovey RL, Janes ML, Lin K, McDonagh PD, McBride K, Mulrooney P, Nahas S, Oh D, Oriol A, Puckett L, Rady Z, Reese MG, Ryu J, Salz L, Sanford E, Stewart L, Sweeney N, Tokita M, Van Der Kraan L, White S, Wigby K, Williams B, Wong T, Wright MS, Yamada C, Schols P, Reynders J, Hall K, Dimmock D, Veeraraghavan N, Defay T, Kingsmore SF. Diagnosis of genetic diseases in seriously ill children by rapid whole-genome sequencing and automated phenotyping and interpretation. Sci Transl Med 2020; 11:11/489/eaat6177. [PMID: 31019026 DOI: 10.1126/scitranslmed.aat6177] [Citation(s) in RCA: 156] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Revised: 10/24/2018] [Accepted: 04/01/2019] [Indexed: 12/19/2022]
Abstract
By informing timely targeted treatments, rapid whole-genome sequencing can improve the outcomes of seriously ill children with genetic diseases, particularly infants in neonatal and pediatric intensive care units (ICUs). The need for highly qualified professionals to decipher results, however, precludes widespread implementation. We describe a platform for population-scale, provisional diagnosis of genetic diseases with automated phenotyping and interpretation. Genome sequencing was expedited by bead-based genome library preparation directly from blood samples and sequencing of paired 100-nt reads in 15.5 hours. Clinical natural language processing (CNLP) automatically extracted children's deep phenomes from electronic health records with 80% precision and 93% recall. In 101 children with 105 genetic diseases, a mean of 4.3 CNLP-extracted phenotypic features matched the expected phenotypic features of those diseases, compared with a match of 0.9 phenotypic features used in manual interpretation. We automated provisional diagnosis by combining the ranking of the similarity of a patient's CNLP phenome with respect to the expected phenotypic features of all genetic diseases, together with the ranking of the pathogenicity of all of the patient's genomic variants. Automated, retrospective diagnoses concurred well with expert manual interpretation (97% recall and 99% precision in 95 children with 97 genetic diseases). Prospectively, our platform correctly diagnosed three of seven seriously ill ICU infants (100% precision and recall) with a mean time saving of 22:19 hours. In each case, the diagnosis affected treatment. Genome sequencing with automated phenotyping and interpretation in a median of 20:10 hours may increase adoption in ICUs and, thereby, timely implementation of precise treatments.
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Affiliation(s)
- Michelle M Clark
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Amber Hildreth
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA.,Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Sergey Batalov
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Yan Ding
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Shimul Chowdhury
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Kelly Watkins
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Brandon Camp
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | | | - Lauge Farnaes
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Matthew N Bainbridge
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Codified Genomics, LLC, Houston, TX 77033, USA
| | - Curtis Beebe
- Rady Children's Hospital, San Diego, CA 92123, USA
| | - Joshua J A Braun
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Margaret Bray
- Alexion Pharmaceuticals Inc., New Haven, CT 06510, USA
| | - Jeanne Carroll
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Julie A Cakici
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Sara A Caylor
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Christina Clarke
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Mitchell P Creed
- University of Kansas School of Medicine, Kansas City, MO 66160, USA
| | - Jennifer Friedman
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Neurosciences, University of California San Diego, San Diego, CA 92093, USA
| | | | | | - Mary Gaughran
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | | | - Joseph Gleeson
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Neurosciences, University of California San Diego, San Diego, CA 92093, USA
| | | | | | - Raymond L Hovey
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Marie L Janes
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Kejia Lin
- Rady Children's Hospital, San Diego, CA 92123, USA
| | | | - Kyle McBride
- Rady Children's Hospital, San Diego, CA 92123, USA
| | - Patrick Mulrooney
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Shareef Nahas
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Daeheon Oh
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Albert Oriol
- Rady Children's Hospital, San Diego, CA 92123, USA
| | - Laura Puckett
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Zia Rady
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Julie Ryu
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Lisa Salz
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Erica Sanford
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | | | - Nathaly Sweeney
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Mari Tokita
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Luca Van Der Kraan
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Sarah White
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Kristen Wigby
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | | | - Terence Wong
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Meredith S Wright
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Catherine Yamada
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - John Reynders
- Alexion Pharmaceuticals Inc., New Haven, CT 06510, USA
| | | | - David Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Thomas Defay
- Alexion Pharmaceuticals Inc., New Haven, CT 06510, USA
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7
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Kingsmore SF, Cakici JA, Clark MM, Gaughran M, Feddock M, Batalov S, Bainbridge MN, Carroll J, Caylor SA, Clarke C, Ding Y, Ellsworth K, Farnaes L, Hildreth A, Hobbs C, James K, Kint CI, Lenberg J, Nahas S, Prince L, Reyes I, Salz L, Sanford E, Schols P, Sweeney N, Tokita M, Veeraraghavan N, Watkins K, Wigby K, Wong T, Chowdhury S, Wright MS, Dimmock D, Bezares Z, Bloss C, Braun JJ, Diaz C, Mashburn D, Tamang D, Orendain D, Friedman J, Gleeson J, Barea J, Chiang G, Cohenmeyer C, Coufal NG, Evans M, Honold J, Hovey RL, Kimball A, Lane B, Le C, Le J, Leibel S, Moyer L, Mulrooney P, Oh D, Ordonez P, Oriol A, Ortiz-Arechiga M, Puckett L, Speziale M, Suttner D, Van Der Kraan L, Knight G, Sauer C, Song R, White S, Wise A, Yamada C. A Randomized, Controlled Trial of the Analytic and Diagnostic Performance of Singleton and Trio, Rapid Genome and Exome Sequencing in Ill Infants. Am J Hum Genet 2019; 105:719-733. [PMID: 31564432 DOI: 10.1016/j.ajhg.2019.08.009] [Citation(s) in RCA: 214] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 08/23/2019] [Indexed: 12/21/2022] Open
Abstract
The second Newborn Sequencing in Genomic Medicine and Public Health study was a randomized, controlled trial of the effectiveness of rapid whole-genome or -exome sequencing (rWGS or rWES, respectively) in seriously ill infants with diseases of unknown etiology. Here we report comparisons of analytic and diagnostic performance. Of 1,248 ill inpatient infants, 578 (46%) had diseases of unknown etiology. 213 infants (37% of those eligible) were enrolled within 96 h of admission. 24 infants (11%) were very ill and received ultra-rapid whole-genome sequencing (urWGS). The remaining infants were randomized, 95 to rWES and 94 to rWGS. The analytic performance of rWGS was superior to rWES, including variants likely to affect protein function, and ClinVar pathogenic/likely pathogenic variants (p < 0.0001). The diagnostic performance of rWGS and rWES were similar (18 diagnoses in 94 infants [19%] versus 19 diagnoses in 95 infants [20%], respectively), as was time to result (median 11.0 versus 11.2 days, respectively). However, the proportion diagnosed by urWGS (11 of 24 [46%]) was higher than rWES/rWGS (p = 0.004) and time to result was less (median 4.6 days, p < 0.0001). The incremental diagnostic yield of reflexing to trio after negative proband analysis was 0.7% (1 of 147). In conclusion, rapid genomic sequencing can be performed as a first-tier diagnostic test in inpatient infants. urWGS had the shortest time to result, which was important in unstable infants, and those in whom a genetic diagnosis was likely to impact immediate management. Further comparison of urWGS and rWES is warranted because genomic technologies and knowledge of variant pathogenicity are evolving rapidly.
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8
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Elamami AH, Elmehdwi N, Younis EZ, Zwawi H, Elsahli R, Latiwesh OB, Hussain A. Pernicious Anemia Presented with Isolated Nominal Dysphasia in Type Ill Polyglandular Failure Female Patient. Cureus 2018; 10:e3306. [PMID: 30519517 PMCID: PMC6277171 DOI: 10.7759/cureus.3306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Pernicious anemia (also known as Biermer's disease) is an autoimmune atrophic gastritis which predominantly affects the fundus of the stomach. It results in a deficiency of vitamin B12 (cobalamin) as it affects the normal process of absorption in the ileum. The pernicious anemia is characterized by a wide range of hematological and neurological features. Neurological features can present without hematological manifestations. One of the early neurological features of this anemia is nominal dysphasia (word-finding difficulties), which was usually not reported before as an isolated finding. We present a case of pernicious anemia with isolated nominal dysphasia responding dramatically to parenteral vitamin B12 therapy.
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Affiliation(s)
| | | | - Eman Z Younis
- Laboratory Medicine, University of Benghazi, Benghazi, LBY
| | - Hamid Zwawi
- Internal Medicine, University of Benghazi, Benghazi, LBY
| | - Rabha Elsahli
- Internal Medicine, University of Benghazi, Benghazi, LBY
| | - Omar B Latiwesh
- Medical Laboratory, Higher Institute of Medical Professions, Benghazi, LBY
| | - Azhar Hussain
- Medicine, Xavier University School of Medicine, Oranjestad, ABW
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