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Cohort Research in “Omics” and Preventive Medicine

  • Yi Shen
  • Sheng Zhang
  • Jie Zhou
  • Jiajia ChenEmail author
Chapter
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 1005)

Abstract

Cohort studies are observational studies in which the investigator determines the exposure status of subjects and then follows them for subsequent outcomes. The incidence of outcomes is observed in the exposed group and compared with that in a nonexposed group. Recently, new epidemiologic strategies have encouraged cohort research information exchange and cooperation to improve the cognition of disease etiology, such as case-cohort design and nested case-control study, which is available for “omics” data. Meanwhile, large-scale cohort studies using a prospective multiple design and long follow-ups have explored some of the challenges in preventive medicine. Cohort study can bridge the gap between the micro and macro research.

This chapter is divided into three parts:
  1. 1.

    Basic knowledge of cohort study, which included the definition of cohort study and different types of cohort study, how to design the cohort study, data analysis for the cohort study, sources of bias in cohort studies, tools and software for cohort studies, and strengths and limitations of cohort study

     
  2. 2.

    Cohort study for “omics” data analysis, which introduced three related methodologically distinct study designs, case-cohort design for genomic cohort study, nested case-control design for transcriptomics cohort data, and population-based design for integrative “omics” cohort

     
  3. 3.

    Perspectives on cohort study including data-driven medicine and cohort research, cohort research for healthcare medicine, and cohort research for preventive medicine

     

Keywords

Cohort study “Omics” data preventive medicine 

Notes

Acknowledgment

This work was supported by the National Natural Science Foundation of China grants (31400712) and Technology R&D Program of Suzhou (SYN201409).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Department of Epidemiology and Medical StatisticsNantong UniversityNantongChina
  2. 2.School of Chemistry, Biology and Materials EngineeringSuzhou University of Science and TechnologySuzhouChina

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