Prospects for identifying functional variation across the genome.
Prospects for identifying functional variation across the genome.
复制标题
识别整个基因组功能变异的前景。
DOI:
10.1073/pnas.0501990102
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发表时间:
2005
影响因子:
11.1
通讯作者:
Long,AnthonyD
中科院分区:
文献类型:
--
作者:
Macdonald,StuartJ;Long,AnthonyD
The genetic factors contributing to complex trait variation may reside in regulatory, rather than protein-coding portions of the genome. Within noncoding regions, SNPs in regulatory elements are more likely to contribute to phenotypic variation than those in nonregulatory regions. Thus, it is important to be able to identify and annotate noncoding regulatory elements. DNA conservation among diverged species successfully identifies noncoding regulatory regions. However, because rapidly evolving regulatory regions will not generally be conserved across species, these will not detected by using purely conservation-based methods. Here we describe additional approaches that can be used to identify putative regulatory elements via signatures of nonneutral evolution. An examination of the pattern of polymorphism both within and between populations ofDrosophila melanogaster, as well as divergence with its sibling speciesDrosophila simulans, across 24.2 kb of noncoding DNA identifies several nonneutrally evolving regions not identified by conservation. Because different methods tag different regions, it appears that the methods are complementary. Patterns of variation at different elements are consistent with the action of selective sweeps, balancing selection, or population differentiation. Together with regions conserved betweenD. melanogasterandDrosophila pseudoobscura, we tag 5.3 kb of noncoding DNA as potentially regulatory. Ninety-seven of the 408 common noncoding SNPs surveyed are within putatively regulatory regions. If these methods collectively identify the majority of functional noncoding polymorphisms, genotyping only these SNPs in an association mapping framework would reduce genotyping effort for noncoding regions 4-fold.