We aimed to review the epidemiologic literature examining lifestyle and metabolic risk factors, and bloodâbased biomarkers including multiâomics (genomics, proteomics, and metabolomics) and to discuss how these predictive markers can inform early diagnosis of pancreatic ductal adenocarcinoma (PDAC). A search of the PubMed database was conducted in June 2018 to review epidemiologic studies of (i) lifestyle and metabolic risk factors for PDAC, genomeâwide association studies, and risk prediction models incorporating these factors and (ii) bloodâbased biomarkers for PDAC (conventional diagnostic markers, metabolomics, and proteomics). Prospective cohort studies have reported at least 20 possible risk factors for PDAC, including smoking, heavy alcohol drinking, adiposity, diabetes, and pancreatitis, but the relative risks and population attributable fractions of individual risk factors are small (mostly <Â 10%). Highâthroughput technologies have continued to yield promising genetic, metabolic, and protein biomarkers in addition to conventional biomarkers such as carbohydrate antigen 19â9. Nonetheless, most studies have utilized a hospitalâbased caseâcontrol design, and the diagnostic accuracy is low in studies that collected preâdiagnostic samples. Risk prediction models incorporating lifestyle and metabolic factors as well as other clinical parameters have shown good discrimination and calibration. Combination of traditional risk factors, genomics, and bloodâbased biomarkers can help identify highârisk populations and inform clinical decisions. Multiâomics investigations can provide valuable insights into disease etiology, but prospective cohort studies that collect preâdiagnostic samples and validation in independent studies are warranted.