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authorBonface2024-02-15 06:09:54 -0600
committerMunyoki Kilyungi2024-08-09 13:30:43 +0300
commite34e7da50fc0ff5ed41e8bdaf2b1d41c9e9cf534 (patch)
tree67c6bdeb413af7d1dd6c4d02f37b206850a78531 /general/datasets/OXUKHS_ILMLiver_RI0510/summary.rtf
parentb2feda451ccfbeaed02dce9088d6dd228cf15861 (diff)
downloadgn-docs-e34e7da50fc0ff5ed41e8bdaf2b1d41c9e9cf534.tar.gz
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-<p>A proportion of the genetic variants underlying complex phenotypes do so through their effects on gene expression, so an important challenge in complex trait analysis is to discover the genetic basis for the variation in transcript abundance. So far, the potential of mapping both quantitative trait loci (QTLs) and expression quantitative trait loci (eQTLs) in rodents has been limited by the low mapping resolution inherent in crosses between inbred strains. We provide a megabase resolution map of thousands of eQTLs in hippocampus, lung, and liver samples from heterogeneous stock (HS) mice in which 843 QTLs have also been mapped at megabase resolution. We exploit dense mouse SNP data to show that artifacts due to allele-specific hybridization occur in _30% of the cis-acting eQTLs and, by comparison with exon expression data, we show that alternative splicing of the 3_ end of the genes accounts for &lt;1% of cis-acting eQTLs. Approximately one third of cis-acting eQTLs and one half of trans-acting eQTLs are tissue specific. We have created an important systems biology resource for the genetic analysis of complex traits in a key model organism.</p>