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Activity Number:
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525
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Type:
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Invited
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Date/Time:
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Thursday, August 10, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #307643 |
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Title:
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Gene-Environment Interaction: Implications for Public Health and Methodological Challenges
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Author(s):
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Ramal Moonesinghe*+ and Muin Khoury
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Companies:
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Centers for Disease Control and Prevention and Centers for Disease Control and Prevention
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Address:
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Office of Genomics and Disease Prevention Coordinating Center for Health Promotion, Atlanta, GA, 30341-3717,
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Keywords:
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Abstract:
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Concerns have been raised about the value of genomic research for disease prevention and public health, especially involving complex diseases with risk factors amenable to environmental modification. The identification and characterization of genes influencing the risk of multifactorial disease through interactions with other genes and environmental factors remains a challenge. Multifactor dimensionality reduction was developed to detect high-order interactions among genetic and environmental variables associated with disease susceptibility. Neural network methods have been used to improve the identification of gene combinations associated with disease risk. These applied methods are important because they could help stratify disease risks, target interventions to achieve overall population health benefits, and help identify new environmental risk factors for disease.
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