Identification of co-regulated transcripts affecting male body size in Drosophila.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Coffman, CJ; Wayne, ML; Nuzhdin, SV; Higgins, LA; McIntyre, LM

Published Date

  • January 2005

Published In

Volume / Issue

  • 6 / 6

Start / End Page

  • R53 -

PubMed ID

  • 15960805

Pubmed Central ID

  • 15960805

Electronic International Standard Serial Number (EISSN)

  • 1474-760X

International Standard Serial Number (ISSN)

  • 1474-7596

Digital Object Identifier (DOI)

  • 10.1186/gb-2005-6-6-r53

Language

  • eng