Cross-phenotype association analysis of gastric cancer: in-silico functional annotation based on the disease-gene network.

Lee, Sangjun; Yang, Han-Kwang; Lee, Hyuk-Joon; Park, Do Joong; Kong, Seong-Ho; Park, Sue K

Lee, Sangjun; Yang, Han-Kwang; Lee, Hyuk-Joon; Park, Do Joong; Kong, Seong-Ho; Park, Sue K.

Afiliación

Lee S; Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-Ro, Jongro-Gu, Seoul, 03080, Korea.
Yang HK; Cancer Research Institute, Seoul National University, Seoul, Korea.
Lee HJ; Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.
Park DJ; Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Kong SH; Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Park SK; Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.

Gastric Cancer ; 26(4): 517-527, 2023 07.

Article en En | MEDLINE | ID: mdl-36995485

Asunto(s)

Predisposición Genética a la Enfermedad; Neoplasias Gástricas; Humanos; Estudio de Asociación del Genoma Completo; Neoplasias Gástricas/genética; Redes Reguladoras de Genes; Fenotipo; Polimorfismo de Nucleótido Simple

Palabras clave

Gastric cancer; Gene-based analysis; Genome-wide association studies; Meta-analysis; Single-nucleotide polymorphism

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Predisposición Genética a la Enfermedad Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Gastric Cancer Asunto de la revista: GASTROENTEROLOGIA / NEOPLASIAS Año: 2023 Tipo del documento: Article

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