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The Genom of Homo sapiens.pdf

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430 ANTONARAKIS ET AL.POPULATION VARIATION IN GENEEXPRESSION<strong>The</strong> allele-specific gene-dosage effect mainly relies onthe hypothesis that there are allelic differences in normalgene expression. Some initial studies confirmed that (1)there are differences in the allelic expression <strong>of</strong> genes indifferent mouse strains and humans (Schadt et al. 2003),and (2) there are differences in allelic gene expression inlymphoblastoid cell lines from individuals <strong>of</strong> the CEPHfamilies (Cheung et al. 2003). Both studies furthershowed that some <strong>of</strong> this variation is genetically determined.However, these studies used oligonucleotide microarrayanalysis, which is not ideal to detect small differencesfrom genes producing less than ~5 RNA copiesper cell. Real-time quantitative PCR (RT-qPCR) is moresensitive than microarray hybridization, and the dynamicrange <strong>of</strong> gene expression detection is much larger. <strong>The</strong>refore,RT-qPCR can reveal subtle differences in gene expressionthat cannot be detected with microarrays, butcould still be causative for phenotypic variation. In a preliminaryanalysis, we used RT-qPCR to determinewhether there is natural variation in gene expression. Wetested 15 genes in lymphoblastoid cell lines from 8 differentnormal individuals. Each measurement was donein 12 replicates. Figure 5 shows an example <strong>of</strong> the RTqPCRconfirming the accuracy and reproducibility <strong>of</strong> theassay. Figure 6 shows the normalized relative expressionlevels <strong>of</strong> all the genes tested in all individuals. <strong>The</strong>re is indeedwide variation <strong>of</strong> transcript amount among these individuals;this variation was statistically significant in 10(66%) <strong>of</strong> these genes (Table 1).<strong>The</strong>se results may serve as a basis for association andlinkage studies between genomic variation cis or transand gene expression variation. Thus, the genomic variationthat controls transcript variation could be identified.This in turn may lead to a better understanding <strong>of</strong> genomicvariation that confirms susceptibility to commondisorders, to the identification <strong>of</strong> a plethora <strong>of</strong> regulatoryelements, and to the characterization <strong>of</strong> genes and allelesthat contribute to the different phenotypes <strong>of</strong> Down syndrome.Table 1. Variation <strong>of</strong> Transcript Amounts among GenesGenep value aABCG1

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