Document Detail

Gene-environment interactions and the complexity of human genetic diseases.
MedLine Citation:
PMID:  15104029     Owner:  NLM     Status:  MEDLINE    
In the assessment of mortality and morbidity risk, the ability of family history and genetic test results to predict the age of occurrence, severity, and long-term prognosis of 'genetic' diseases is important. An increasing number of gene-gene and gene-environment interactions have been demonstrated in a number of monogenic Mendelian diseases. These interactions can significantly modify the clinical presentation (disease phenotype) of diseases previously regarded purely as 'genetic.' As a result, 'genetic' diseases can be positioned in a continuum between classic Mendelian and complex disease where the extremes, pure genetic or solely non-genetic, do not exist. The position of any given disease in this continuum is defined by three components: the major gene(s) contributing to the phenotype, the variability added by modifier genes and the significance of environmental factors influencing the phenotype. As the predictive value of genetic test results can be significantly influenced by additional genetic and environmental risk factors, a better understanding of these factors may influence the quantification of mortality and morbidity risk.
Christoph E Nabholz; Jan von Overbeck
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Journal of insurance medicine (New York, N.Y.)     Volume:  36     ISSN:  0743-6661     ISO Abbreviation:  J Insur Med     Publication Date:  2004  
Date Detail:
Created Date:  2004-04-23     Completed Date:  2004-06-29     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  8401468     Medline TA:  J Insur Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  47-53     Citation Subset:  T    
Swiss Reinsurance Company, Mythenquai 50/60, 8022 Zurich, Switzerland.
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MeSH Terms
Cystic Fibrosis / etiology,  genetics
Genes, BRCA1
Genes, BRCA2
Genetic Predisposition to Disease*
Genetic Testing / economics
Risk Assessment

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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