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Single-cell genomics meets human genetics.
Cuomo, Anna S E; Nathan, Aparna; Raychaudhuri, Soumya; MacArthur, Daniel G; Powell, Joseph E.
Afiliação
  • Cuomo ASE; Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia. a.cuomo@garvan.org.au.
  • Nathan A; Centre for Population Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia. a.cuomo@garvan.org.au.
  • Raychaudhuri S; Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia. a.cuomo@garvan.org.au.
  • MacArthur DG; Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Powell JE; Divisions of Rheumatology and Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Nat Rev Genet ; 24(8): 535-549, 2023 08.
Article em En | MEDLINE | ID: mdl-37085594
ABSTRACT
Single-cell genomic technologies are revealing the cellular composition, identities and states in tissues at unprecedented resolution. They have now scaled to the point that it is possible to query samples at the population level, across thousands of individuals. Combining single-cell information with genotype data at this scale provides opportunities to link genetic variation to the cellular processes underpinning key aspects of human biology and disease. This strategy has potential implications for disease diagnosis, risk prediction and development of therapeutic solutions. But, effectively integrating large-scale single-cell genomic data, genetic variation and additional phenotypic data will require advances in data generation and analysis methods. As single-cell genetics begins to emerge as a field in its own right, we review its current state and the challenges and opportunities ahead.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article