Identification of co-regulated transcripts affecting male body size in Drosophila.
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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Related Subject Headings
- Transcription, Genetic
- Statistics as Topic
- Sex Characteristics
- Regression Analysis
- RNA, Messenger
- MicroRNAs
- Male
- Genotype
- Genes, Insect
- Gene Expression Regulation, Developmental
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Transcription, Genetic
- Statistics as Topic
- Sex Characteristics
- Regression Analysis
- RNA, Messenger
- MicroRNAs
- Male
- Genotype
- Genes, Insect
- Gene Expression Regulation, Developmental