Most common diseases arise from interaction between multiple genetic variations and factors such as diet. Studies of such diseases that exploit the rich data on variation in the human genome are just beginning.
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Notes
This article and the paper concerned1 were published online on 11 February 2007.
References
Sladek, R. et al. Nature 445, 881–885 (2007).
Grant, S. F. A. et al. Nature Genet. 38, 320–323 (2006).
Kubo, M. et al. Nature Genet. 39, 212–217 (2007).
Hampe, J. et al. Nature Genet. 39, 207–211 (2007).
Klein, R. J. et al. Science 308, 385–389 (2005).
Maraganore, D. M. et al. Am. J. Hum. Genet. 77, 685–693 (2005).
DeWan, A. et al. Science 314, 989–992 (2006).
Duerr, R. H. et al. Science 314, 1461–1463 (2006).
The International HapMap Consortium Nature 437, 1299–1320 (2005).
Cardon, L. R. Science 314, 1403–1405 (2006).
Service, S. K. et al. Nature Genet. 38, 556–560 (2006).
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Freimer, N., Sabatti, C. Variants in common diseases. Nature 445, 828–829 (2007). https://doi.org/10.1038/nature05568
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DOI: https://doi.org/10.1038/nature05568
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