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Solomon BD, Adam MP, Fong CT, Girisha KM, Hall JG, Hurst AC, Krawitz PM, Moosa S, Phadke SR, Tekendo-Ngongang C, Wenger TL. Perspectives on the future of dysmorphology. Am J Med Genet A 2023; 191:659-671. [PMID: 36484420 PMCID: PMC9928773 DOI: 10.1002/ajmg.a.63060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 08/30/2022] [Accepted: 11/12/2022] [Indexed: 12/13/2022]
Abstract
The field of clinical genetics and genomics continues to evolve. In the past few decades, milestones like the initial sequencing of the human genome, dramatic changes in sequencing technologies, and the introduction of artificial intelligence, have upended the field and offered fascinating new insights. Though difficult to predict the precise paths the field will follow, rapid change may continue to be inevitable. Within genetics, the practice of dysmorphology, as defined by pioneering geneticist David W. Smith in the 1960s as "the study of, or general subject of abnormal development of tissue form" has also been affected by technological advances as well as more general trends in biomedicine. To address possibilities, potential, and perils regarding the future of dysmorphology, a group of clinical geneticists, representing different career stages, areas of focus, and geographic regions, have contributed to this piece by providing insights about how the practice of dysmorphology will develop over the next several decades.
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Affiliation(s)
- Benjamin D. Solomon
- Medical Genetics Branch, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Margaret P. Adam
- Department of Pediatrics, University of Washington, Seattle, Washington, United States of America
| | - Chin-To Fong
- Department of Genetics, University of Rochester, Rochester, New York, United States of America
| | - Katta M. Girisha
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Judith G. Hall
- University of British Columbia and Children’s and Women’s Health Centre of British Columbia, Canada
- Department of Pediatrics and Medical Genetics, British Columbia Children’s Hospital, Vancouver, British Columbia, Canada
| | - Anna C.E. Hurst
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Peter M. Krawitz
- Institute for Genomic Statistics and Bioinformatics, University of Bonn, Bonn, Germany
| | - Shahida Moosa
- Division of Molecular Biology and Human Genetics, Stellenbosch University
- Medical Genetics, Tygerberg Hospital, Tygerberg, South Africa
| | - Shubha R. Phadke
- Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Cedrik Tekendo-Ngongang
- Medical Genetics Branch, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Tara L. Wenger
- Division of Genetic Medicine, University of Washington, Seattle, Washington, United States of America
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Solomon BD. Can artificial intelligence save medical genetics? Am J Med Genet A 2021; 188:397-399. [PMID: 34633139 DOI: 10.1002/ajmg.a.62538] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 09/25/2021] [Indexed: 12/29/2022]
Affiliation(s)
- Benjamin D Solomon
- Medical Genomics Unit, National Human Genome Research Institute, Bethesda, Maryland, USA
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