Your browser doesn't support javascript.
loading
Common Disease Is More Complex Than Implied by the Core Gene Omnigenic Model.
Wray, Naomi R; Wijmenga, Cisca; Sullivan, Patrick F; Yang, Jian; Visscher, Peter M.
Afiliación
  • Wray NR; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, Australia. Electronic address: naomi.wray@uq.edu.au.
  • Wijmenga C; University of Groningen, University Medical Center Groningen, Department of Genetics, P.O. Box 30001, 9700 RB Groningen, Netherlands.
  • Sullivan PF; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Yang J; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
  • Visscher PM; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
Cell ; 173(7): 1573-1580, 2018 06 14.
Article en En | MEDLINE | ID: mdl-29906445
The evidence that most adult-onset common diseases have a polygenic genetic architecture fully consistent with robust biological systems supported by multiple back-up mechanisms is now overwhelming. In this context, we consider the recent "omnigenic" or "core genes" model. A key assumption of the model is that there is a relatively small number of core genes relevant to any disease. While intuitively appealing, this model may underestimate the biological complexity of common disease, and therefore, the goal to discover core genes should not guide experimental design. We consider other implications of polygenicity, concluding that a focus on patient stratification is needed to achieve the goals of precision medicine.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad / Modelos Genéticos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Cell Año: 2018 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad / Modelos Genéticos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Cell Año: 2018 Tipo del documento: Article