Literature DB >> 1930939

The changing face of the epidemiology of insulin-dependent diabetes mellitus (IDDM): research designs and models of disease causation.

M Rewers1.   

Abstract

Epidemiology can be broadly defined as the study of the cause and distribution of diseases in human populations. This review is concerned with the role of epidemiology in elucidating the cause of insulin-dependent diabetes mellitus (IDDM). Methodological aspects of epidemiologic studies are discussed including study designs and their limitations. Markers of genetic susceptibility to IDDM are examined in terms of their potential value for selecting high risk individuals for prospective follow-up studies of IDDM etiology. Models of disease causation pertinent to IDDM are presented with a primary focus on the recently developed epigenesis theory. Finally, a framework is provided that integrates approaches of infectious disease, chronic disease and genetic epidemiology, to link epidemiologic data with information from other disciplines, such as genetics, microbiology or immunology.

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Year:  1991        PMID: 1930939     DOI: 10.3109/07853899109148085

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  3 in total

1.  Genes mediating environment interactions in type 1 diabetes.

Authors:  Erik Biros; Margaret A Jordan; Alan G Baxter
Journal:  Rev Diabet Stud       Date:  2006-02-10

2.  Quantitative assay using recombinant human islet glutamic acid decarboxylase (GAD65) shows that 64K autoantibody positivity at onset predicts diabetes type.

Authors:  W A Hagopian; A E Karlsen; A Gottsäter; M Landin-Olsson; C E Grubin; G Sundkvist; J S Petersen; E Boel; T Dyrberg; A Lernmark
Journal:  J Clin Invest       Date:  1993-01       Impact factor: 14.808

3.  A genome-wide assessment of the role of untagged copy number variants in type 1 diabetes.

Authors:  Manuela Zanda; Suna Onengut-Gumuscu; Neil Walker; Corina Shtir; Daniel Gallo; Chris Wallace; Deborah Smyth; John A Todd; Matthew E Hurles; Vincent Plagnol; Stephen S Rich
Journal:  PLoS Genet       Date:  2014-05-29       Impact factor: 5.917

  3 in total

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