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本帖最后由 drjiangbo 于 2011-3-30 13:29 编辑
Abstract
Genome-wide association studies (GWAS) have now identified at least 2,000 common variants that appear associated with
common diseases or related traits (http://www.genome.gov/gwastudies), hundreds of which have been convincingly
replicated. It is generally thought that the associated markers reflect the effect of a nearby common (minor allele frequency
.0.05) causal site, which is associated with the marker, leading to extensive resequencing efforts to find causal sites. We
propose as an alternative explanation that variants much less common than the associated one may create ‘‘synthetic
associations’’ by occurring, stochastically, more often in association with one of the alleles at the common site versus the
other allele. Although synthetic associations are an obvious theoretical possibility, they have never been systematically
explored as a possible explanation for GWAS findings. Here, we use simple computer simulations to show the conditions
under which such synthetic associations will arise and how they may be recognized. We show that they are not only
possible, but inevitable, and that under simple but reasonable genetic models, they are likely to account for or contribute to
many of the recently identified signals reported in genome-wide association studies. We also illustrate the behavior of
synthetic associations in real datasets by showing that rare causal mutations responsible for both hearing loss and sickle cell
anemia create genome-wide significant synthetic associations, in the latter case extending over a 2.5-Mb interval
encompassing scores of ‘‘blocks’’ of associated variants. In conclusion, uncommon or rare genetic variants can easily create
synthetic associations that are credited to common variants, and this possibility requires careful consideration in the
interpretation and follow up of GWAS signals.
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