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authorBonface2024-02-09 09:41:28 -0600
committerMunyoki Kilyungi2024-08-09 13:30:43 +0300
commitd029d5d7f8ead1f1de8d318045004a4a6f68f5fb (patch)
tree33c7ff40e3f953d030ed08f468f7afb1dfcba9e6 /general/datasets/NCSU_DrosWB_LC_RMA_0111/summary.rtf
parent769ff7825f5d8d36d541e90534c07f1985899973 (diff)
downloadgn-docs-d029d5d7f8ead1f1de8d318045004a4a6f68f5fb.tar.gz
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+<p>Determining the genetic architecture of complex traits is challenging because phenotypic variation arises from interactions between multiple, environmentally sensitive alleles. We quantified genomewide transcript abundance and phenotypes for six ecologically relevant traits in D. melanogaster wild-derived inbred lines. We observed 10,096 genetically variable transcripts and high heritabilities for all organismal phenotypes. The transcriptome is highly genetically inter-correlated, forming 241 transcriptional modules. Modules are enriched for transcripts in common pathways, gene ontology categories, tissue-specific expression, and transcription factor binding sites. The high transcriptional connectivity allows us to infer genetic networks and the function of predicted genes based on annotations of other genes in the network. Regressions of organismal phenotypes on transcript abundance implicate several hundred candidate genes that form modules of biologically meaningful correlated transcripts affecting each phenotype. Overlapping transcripts in modules associated with different traits provides insight into the molecular basis of pleiotropy between complex traits.<br />
+<a href="http://www.nature.com/ng/journal/v41/n3/abs/ng.332.html" target="_blank">Full Article</a></p>