Abstract
Information from the Human Genome Project will be vital for defining the genetic and environmental factors that contribute to health and disease. Well-designed case–control studies of people with and without a particular disease are essential for this, but rigorous and unbiased conclusions about the causes of diseases and their population-wide impact will require a representative population to be monitored over time (a prospective cohort study). The time is right for the United States to consider such a project.
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References
International Human Genome Sequencing Consortium. Initial sequencing and analysis of the human genome. Nature 409, 860–921 (2001).
Venter, J. C. et al. The sequence of the human genome. Science 291, 1304–1351 (2001).
The International HapMap Consortium. The International HapMap Project. Nature 426, 789–796 (2003).
Shi, M. M. Technologies for individual genotyping: detection of genetic polymorphisms in drug targets and disease genes. Am. J. Pharmacogenomics 2, 197–205 (2002).
Weaver, V. M., Buckley, T. J. & Groopman, J. D. Approaches to environmental exposure assessment in children. Environ. Health Perspect. 106 (suppl. 3), 827–832 (1998).
Chakravarti, A. & Little, P. Nature, nurture and human disease. Nature 421, 412–414 (2003).
van den Oord, E. Method to detect genotype–environment interactions for quantitative trait loci in association studies. Am. J. Epidemiol. 150, 1179–1187 (1999).
Gordis, L. Epidemiology 2nd edn (W. B. Saunders & Co., Philadelphia, 2000).
Pritchard, J. K., Stephens, M., Rosenberg, N. A. & Donnelly, P. Association mapping in structured populations. Am. J. Hum. Genet. 67, 170–181 (2000).
Guo, S. W. Inflation of sibling recurrence-risk ratio, due to ascertainment bias and/or overreporting. Am. J. Hum. Genet. 63, 252–258 (1998).
Feinstein, A. R. Experimental requirements and scientific principles in case-control studies. J. Chronic Dis. 38, 127–133 (1985).
Silberberg, J. S., Wlodarczyk, J., Fryer, J., Ray, C. D. & Hensley, M. J. Correction for biases in a population-based study of family history and coronary heart disease. The Newcastle Family History Study I. Am. J. Epidemiol. 147, 1123–1132 (1998).
Clayton, D. & McKeigue, P. M. Epidemiological methods for studying genes and environmental factors in complex diseases. Lancet 358, 1356–1360 (2001).
Hill, A. B. The environment and disease: association or causation? Proc. R. Soc. Med. 58, 295–300 (1965).
Acknowledgements
Appreciation is expressed for comments on the manuscript from J. Bailey-Wilson, W. Burke, M. Boehnke, B. Foxman, A. Guttmacher, E. Lander, T. Manolio, A. Wilson and E. Zerhouni. The opinions expressed in this Commentary are those of the author, and do not represent an official position of the National Human Genome Research Institute, the National Institutes of Health or the Department of Health and Human Services.
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Collins, F. The case for a US prospective cohort study of genes and environment. Nature 429, 475–477 (2004). https://doi.org/10.1038/nature02628
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DOI: https://doi.org/10.1038/nature02628
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