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Genotype first: Clinical genomics research through a reverse phenotyping approach.
Wilczewski, Caralynn M; Obasohan, Justice; Paschall, Justin E; Zhang, Suiyuan; Singh, Sumeeta; Maxwell, George L; Similuk, Morgan; Wolfsberg, Tyra G; Turner, Clesson; Biesecker, Leslie G; Katz, Alexander E.
Afiliação
  • Wilczewski CM; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
  • Obasohan J; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
  • Paschall JE; Bioinformatics and Scientific Programming Core, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
  • Zhang S; Bioinformatics and Scientific Programming Core, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
  • Singh S; Bioinformatics and Scientific Programming Core, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
  • Maxwell GL; Women's Health Integrated Research Center, Inova Health System, Falls Church, VA 22042, USA.
  • Similuk M; National Institute for Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20814, USA.
  • Wolfsberg TG; Bioinformatics and Scientific Programming Core, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
  • Turner C; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
  • Biesecker LG; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA. Electronic address: lesb@mail.nih.gov.
  • Katz AE; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
Am J Hum Genet ; 110(1): 3-12, 2023 01 05.
Article em En | MEDLINE | ID: mdl-36608682
Although genomic research has predominantly relied on phenotypic ascertainment of individuals affected with heritable disease, the falling costs of sequencing allow consideration of genomic ascertainment and reverse phenotyping (the ascertainment of individuals with specific genomic variants and subsequent evaluation of physical characteristics). In this research modality, the scientific question is inverted: investigators gather individuals with a genomic variant and test the hypothesis that there is an associated phenotype via targeted phenotypic evaluations. Genomic ascertainment research is thus a model of predictive genomic medicine and genomic screening. Here, we provide our experience implementing this research method. We describe the infrastructure we developed to perform reverse phenotyping studies, including aggregating a super-cohort of sequenced individuals who consented to recontact for genomic ascertainment research. We assessed 13 studies completed at the National Institutes of Health (NIH) that piloted our reverse phenotyping approach. The studies can be broadly categorized as (1) facilitating novel genotype-disease associations, (2) expanding the phenotypic spectra, or (3) demonstrating ex vivo functional mechanisms of disease. We highlight three examples of reverse phenotyping studies in detail and describe how using a targeted reverse phenotyping approach (as opposed to phenotypic ascertainment or clinical informatics approaches) was crucial to the conclusions reached. Finally, we propose a framework and address challenges to building collaborative genomic ascertainment research programs at other institutions. Our goal is for more researchers to take advantage of this approach, which will expand our understanding of the predictive capability of genomic medicine and increase the opportunity to mitigate genomic disease.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Informática Médica / Genoma Tipo de estudo: Prognostic_studies Idioma: En Revista: Am J Hum Genet Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Informática Médica / Genoma Tipo de estudo: Prognostic_studies Idioma: En Revista: Am J Hum Genet Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos