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The support of human genetic evidence for approved drug indications.
Nelson, Matthew R; Tipney, Hannah; Painter, Jeffery L; Shen, Judong; Nicoletti, Paola; Shen, Yufeng; Floratos, Aris; Sham, Pak Chung; Li, Mulin Jun; Wang, Junwen; Cardon, Lon R; Whittaker, John C; Sanseau, Philippe.
Afiliação
  • Nelson MR; Quantitative Sciences, GlaxoSmithKline, Research Triangle Park, North Carolina, USA.
  • Tipney H; Quantitative Sciences, GlaxoSmithKline, Stevenage, UK.
  • Painter JL; Quantitative Sciences, GlaxoSmithKline, Research Triangle Park, North Carolina, USA.
  • Shen J; Quantitative Sciences, GlaxoSmithKline, Research Triangle Park, North Carolina, USA.
  • Nicoletti P; Department of Systems Biology, Columbia University, New York, New York, USA.
  • Shen Y; 1] Department of Systems Biology, Columbia University, New York, New York, USA. [2] Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Floratos A; 1] Department of Systems Biology, Columbia University, New York, New York, USA. [2] Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Sham PC; 1] State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, SAR, China. [2] Centre for Genomics Sciences, Li Ka Shing (LKS) Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.
  • Li MJ; 1] Centre for Genomics Sciences, Li Ka Shing (LKS) Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China. [2] Department of Biochemistry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.
  • Wang J; 1] Centre for Genomics Sciences, Li Ka Shing (LKS) Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China. [2] Department of Biochemistry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.
  • Cardon LR; Alternative Discovery and Development, GlaxoSmithKline, Upper Merion, Pennsylvania, USA.
  • Whittaker JC; Quantitative Sciences, GlaxoSmithKline, Stevenage, UK.
  • Sanseau P; Quantitative Sciences, GlaxoSmithKline, Stevenage, UK.
Nat Genet ; 47(8): 856-60, 2015 Aug.
Article em En | MEDLINE | ID: mdl-26121088
ABSTRACT
Over a quarter of drugs that enter clinical development fail because they are ineffective. Growing insight into genes that influence human disease may affect how drug targets and indications are selected. However, there is little guidance about how much weight should be given to genetic evidence in making these key decisions. To answer this question, we investigated how well the current archive of genetic evidence predicts drug mechanisms. We found that, among well-studied indications, the proportion of drug mechanisms with direct genetic support increases significantly across the drug development pipeline, from 2.0% at the preclinical stage to 8.2% among mechanisms for approved drugs, and varies dramatically among disease areas. We estimate that selecting genetically supported targets could double the success rate in clinical development. Therefore, using the growing wealth of human genetic data to select the best targets and indications should have a measurable impact on the successful development of new drugs.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprovação de Drogas / Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Nat Genet Assunto da revista: GENETICA MEDICA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprovação de Drogas / Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Nat Genet Assunto da revista: GENETICA MEDICA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA