Statistical analysis of the genomic distribution and correlation of regulatory elements in the ENCODE regions

Zhengdong D. Zhang, Alberto Paccanaro, Yutao Fu, Sherman Weissman, Zhiping Weng, Joseph Chang, Michael Snyder, Mark B. Gerstein

Research output: Contribution to journalArticle

41 Scopus citations

Abstract

The comprehensive inventory of functional elements in 44 human genomic regions carried out by the ENCODE Project Consortium enables for the first time a global analysis of the genomic distribution of transcriptional regulatory elements. In this study we developed an intuitive and yet powerful approach to analyze the distribution of regulatory elements found in many different ChIP-chip experiments on a 10∼100-kb scale. First, we focus on the overall chromosomal distribution of regulatory elements in the ENCODE regions and show that it is highly nonuniform. We demonstrate, in fact, that regulatory elements are associated with the location of known genes. Further examination on a local, single-gene scale shows an enrichment of regulatory elements near both transcription start and end sites. Our results indicate that overall these elements are clustered into regulatory rich "islands" and poor "deserts." Next, we examine how consistent the nonuniform distribution is between different transcription factors. We perform on all the factors a multivariate analysis in the framework of a biplot, which enhances biological signals in the experiments. This groups transcription factors into sequence-specific and sequence-nonspecific clusters. Moreover, with experimental variation carefully controlled, detailed correlations show that the distribution of sites was generally reproducible for a specific factor between different laboratories and microarray platforms. Data sets associated with histone modifications have particularly strong correlations. Finally, we show how the correlations between factors change when only regulatory elements far from the transcription start sites are considered.

Original languageEnglish (US)
Pages (from-to)787-797
Number of pages11
JournalGenome research
Volume17
Issue number6
DOIs
Publication statusPublished - Jun 1 2007
Externally publishedYes

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ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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