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Phen-Gen: combining phenotype and genotype to analyze rare disorders.
Javed, Asif; Agrawal, Saloni; Ng, Pauline C.
Afiliação
  • Javed A; Computational and Systems Biology Group, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore.
  • Agrawal S; Computational and Systems Biology Group, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore.
  • Ng PC; Computational and Systems Biology Group, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore.
Nat Methods ; 11(9): 935-7, 2014 Sep.
Article em En | MEDLINE | ID: mdl-25086502
We introduce Phen-Gen, a method that combines patients' disease symptoms and sequencing data with prior domain knowledge to identify the causative genes for rare disorders. Simulations revealed that the causal variant was ranked first in 88% of cases when it was a coding variant-a 52% advantage over a genotype-only approach-and Phen-Gen outperformed other existing prediction methods by 13-58%. If disease etiology was unknown, the causal variant was assigned the top rank in 71% of simulations. Phen-Gen is available at http://phen-gen.org/.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Humano / Testes Genéticos / Mapeamento Cromossômico / Predisposição Genética para Doença / Bases de Dados Genéticas / Doenças Raras Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Humano / Testes Genéticos / Mapeamento Cromossômico / Predisposição Genética para Doença / Bases de Dados Genéticas / Doenças Raras Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article