Identification of co-regulated transcripts affecting male body size in Drosophila -: art. no. R53

被引:18
作者
Coffman, CJ
Wayne, ML
Nuzhdin, SV
Higgins, LA
McIntyre, LM [1 ]
机构
[1] Duke Univ, Med Ctr, Dept Biostat & Bioinformat, Durham, NC 27710 USA
[2] Vet Adm Med Ctr, Hlth Serv Res & Dev Biostat Unit, Durham, NC 27705 USA
[3] Univ Florida, Dept Zool, Gainesville, FL 32611 USA
[4] Univ Calif Davis, Dept Ecol & Evolut, Davis, CA 95616 USA
[5] Purdue Univ, Dept Agron, W Lafayette, IN 47907 USA
关键词
D O I
10.1186/gb-2005-6-6-r53
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Factor analysis is an analytic approach that describes the covariation among a set of genes through the estimation of ' factors', which may be, for example, transcription factors, microRNAs ( miRNAs), and so on, by which the genes are co- regulated. Factor analysis gives a direct mechanism by which to relate gene networks to complex traits. Using simulated data, we found that factor analysis clearly identifies the number and structure of factors and outperforms hierarchical cluster analysis. Noise genes, genes that are not correlated with any factor, can be distinguished even when factor structure is complex. Applied to body size in Drosophila simulans, an evolutionarily important complex trait, a factor was directly associated with body size.
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页数:15
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