Molecular pathological epidemiology: new developing frontiers of big data science to study etiologies and pathogenesis

Journal of Gastroenterology

Volumn 52, Issue 3, 2017, Pages 265-275

  Hamada, Tsuyoshi ^a   Keum, NaNa ^b   Nishihara, Reiko ^a,b   Ogino, Shuji ^a,b,c  

^a DANA FARBER CANCER INSTITUTE   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Colorectal neoplasms; Drug therapy; Immunology; Microbiology; Personalized therapy

Indexed keywords

CONCEPTUAL FRAMEWORK; HEALTH SCIENCE; HUMAN; IMMUNOLOGY; MEDICAL RESEARCH; MICROBIOLOGY; MOLECULAR EPIDEMIOLOGY; MOLECULAR PATHOLOGICAL EPIDEMIOLOGY; MOLECULAR PATHOLOGY; PERSONALIZED MEDICINE; PHARMACOEPIDEMIOLOGY; PRIORITY JOURNAL; REVIEW; COLORECTAL TUMOR; DISEASES; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE ENVIRONMENT INTERACTION; IMMUNITY; PROCEDURES; TRENDS;

COLORECTAL NEOPLASMS; DISEASE; EPIDEMIOLOGY; GENE-ENVIRONMENT INTERACTION; GENOME-WIDE ASSOCIATION STUDY; HUMANS; IMMUNITY; MICROBIOLOGY; PATHOLOGY, MOLECULAR; PHARMACOEPIDEMIOLOGY; PRECISION MEDICINE;

EID: 84991056295     PISSN: 09441174     EISSN: 14355922     Source Type: Journal    
DOI: 10.1007/s00535-016-1272-3     Document Type: Review

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