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The Genom of Homo sapiens.pdf

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Genetic Variation and the Control <strong>of</strong> TranscriptionC. COTSAPAS, E. CHAN, M. KIRK, M. TANAKA, AND P. LITTLESchool <strong>of</strong> Biotechnology and Biomolecular Sciences, University <strong>of</strong> New South Wales,Sydney, New South Wales 2052, AustraliaIdentifying and understanding genetic variation is akey driver <strong>of</strong> agricultural, biotechnological, and biomedicalresearch and commercialization; the major focus <strong>of</strong>genetic variation research has until now been on changesto protein-coding sequences because these are computationallyand experimentally accessible. In contrast, thecontribution <strong>of</strong> genetic variation to the temporal or spatialcontrol <strong>of</strong> transcription is not well understood, in part becausewe have no simple technologies to identify functionalvariants in control regions, nor do we, for the majority<strong>of</strong> genes, have a comprehensive understanding <strong>of</strong>the proteins that control gene expression.Only relatively recently (Jin et al. 2001; Schadt et al.2003) has it become apparent that levels <strong>of</strong> mRNA in acell are influenced by genetic variation (for review, seeCheung and Spielman 2002). Such quantitative variationin mRNA levels has two distinct origins, which we defineas cis- or trans-acting (Fig. 1).•Cis-acting variants: <strong>The</strong> underlying sequencechange(s) is in DNA that controls expression <strong>of</strong> anearby gene, including promoter/enhancers, splicedeterminants, poly(A) addition sequences, mRNAstability, and transport signals.•Trans-acting variants: <strong>The</strong>se are located in geneswhose products, protein or RNA, in the broadestsense, control mRNA levels <strong>of</strong> genes. Thus, variationin a distant gene is responsible for alteration inthe transcript levels <strong>of</strong> a target gene—hence the description<strong>of</strong> “trans” variation. <strong>The</strong> most obvious candidatesfor trans-acting effectors are transcriptionfactors.Figure 1. Two types <strong>of</strong> genetic variation influencing amounts <strong>of</strong>mRNA in a cell or tissue (shown by large filled arrows). Sites <strong>of</strong>variations are marked by a star: those within the gene are actingin cis, those within effector proteins <strong>of</strong> any type are in trans.Cis-acting variation: Variation in mRNA levels hasbeen studied in a genetic context by Yan et al. (2002), whodemonstrated that allelic variation in expression <strong>of</strong> 6 humangenes was cis-acting and this was “relatively commonamong normal individuals.” Sandberg et al. (2000) usedcDNA microarrays to show that 24 genes were expressedat differing levels in the brains <strong>of</strong> 129SVEv and C57BL/6mice, and there have been reports <strong>of</strong> interstrain differencesin mRNA levels <strong>of</strong> individual genes, including Gas5(Muller et al. 1998). In humans, variations near the INSand IGF2 genes contribute to alteration in mRNA levels,and these are associated with susceptibility to type 1 diabetes(Bennett et al. 1995), and variations in the promoterregion <strong>of</strong> the presenilin 1 gene are associated with an increasedrisk <strong>of</strong> early-onset Alzheimer’s disease (<strong>The</strong>uns etal. 2000). More generally, Cargill et al. (1999) andHalushka et al. (1999) estimated the frequency <strong>of</strong> singlenucleotidepolymorphisms (SNPs) near, but not within,coding sequences—and consequently candidates for promoterpolymorphisms—as 1/354 bp, and Yamada et al.(2000) found a value <strong>of</strong> 1/562 bases. <strong>The</strong>se data show thatquantitative variation is relatively common and contributesto significant differences in phenotype.Trans-acting effects on transcript levels: This class <strong>of</strong>quantitative variation is not well studied. Hustert et al.(2001) showed that variations in the pregnane X receptor,a transcription factor (TF) for the CYP3A4 gene, influencedexpression <strong>of</strong> the target gene. Schadt et al. (2003)used a mouse backcross approach to study the extent towhich variation occurred with two inbred strains <strong>of</strong>mouse, and showed that 33% <strong>of</strong> all genes exhibited alterationsin the level <strong>of</strong> mRNA in at least 10% <strong>of</strong> the backcrossmice analyzed; they treated mRNA levels as classicquantitative trait loci and showed that 34–71% <strong>of</strong> thoseinfluences were in cis. <strong>The</strong>se limited data suggest that intrans genetic variation occurs and is <strong>of</strong> significant physiologicalconsequence.For the sake <strong>of</strong> inclusiveness, we will refer to TFs,splice components, and stability determinant proteins assimply mRNA level “effectors,” since all might contributeto quantitative variation. We suggest that geneticvariation <strong>of</strong> trans-acting control <strong>of</strong> gene expression potentiallymay have more pr<strong>of</strong>ound effects on cells thanvariations in other proteins, simply because such effectorsinfluence multiple genes and whole pathways, suggestinga potentially important role in evolution and in thegeneration <strong>of</strong> species diversity. For example, Enard et al.(2002) have suggested that amounts <strong>of</strong> mRNA expressedwithin the cells <strong>of</strong> the human and chimpanzee are alteredmore significantly in the brain than in the liver and arguedCold Spring Harbor Symposia on Quantitative Biology, Volume LXVIII. © 2003 Cold Spring Harbor Laboratory Press 0-87969-709-1/04. 109

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