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The Importance of Gene—Environment Interaction

Author

Listed:
  • Kari E. North

    (University of North Carolina at Chapel Hill, kari_north@unc.edu)

  • Lisa J. Martin

    (Cincinnati Children's Medical Hospital and the University of Cincinnati School of Medicine, Ohio)

Abstract

Given recent genetic advances, it is not surprising that genetics information is increasingly being used to improve health care. Thousands of conditions caused by single genes (Mendelian diseases) have been identified over the last century. However, Mendelian diseases are rare; thus, few individuals directly benefit from gene identification. In contrast, common complex diseases, such as obesity, breast cancer, and depression, directly affect many more individuals. Common complex diseases are caused by multiple genes, environmental factors, and/or interaction of genetic and environmental factors. This article provides a framework for the successful conduct of gene—environment studies. To accomplish this goal, the basic study designs and procedures of implementation for gene—environment interaction are described. Next, examples of gene—environment interaction in obesity epidemiology are reviewed. Last, the authors review reasons why epidemiological studies that incorporate gene—environment interaction have been unable to demonstrate statistically significant interactions and why conflicting results are reported.

Suggested Citation

  • Kari E. North & Lisa J. Martin, 2008. "The Importance of Gene—Environment Interaction," Sociological Methods & Research, , vol. 37(2), pages 164-200, November.
    • Handle: RePEc:sae:somere:v:37:y:2008:i:2:p:164-200
    DOI: 10.1177/0049124108323538
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    References listed on IDEAS

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    1. Neil J. Risch, 2000. "Searching for genetic determinants in the new millennium," Nature, Nature, vol. 405(6788), pages 847-856, June.
    2. Elisabeth Dawson & Gonçalo R. Abecasis & Suzannah Bumpstead & Yuan Chen & Sarah Hunt & David M. Beare & Jagjit Pabial & Thomas Dibling & Emma Tinsley & Susan Kirby & David Carter & Marianna Papaspyrid, 2002. "A first-generation linkage disequilibrium map of human chromosome 22," Nature, Nature, vol. 418(6897), pages 544-548, August.
    3. Maria Eriksson & W. Ted Brown & Leslie B. Gordon & Michael W. Glynn & Joel Singer & Laura Scott & Michael R. Erdos & Christiane M. Robbins & Tracy Y. Moses & Peter Berglund & Amalia Dutra & Evgenia Pa, 2003. "Recurrent de novo point mutations in lamin A cause Hutchinson–Gilford progeria syndrome," Nature, Nature, vol. 423(6937), pages 293-298, May.
    4. David E. Reich & Michele Cargill & Stacey Bolk & James Ireland & Pardis C. Sabeti & Daniel J. Richter & Thomas Lavery & Rose Kouyoumjian & Shelli F. Farhadian & Ryk Ward & Eric S. Lander, 2001. "Linkage disequilibrium in the human genome," Nature, Nature, vol. 411(6834), pages 199-204, May.
    5. Shostak, Sara, 2003. "Locating gene-environment interaction: at the intersections of genetics and public health," Social Science & Medicine, Elsevier, vol. 56(11), pages 2327-2342, June.
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