Abstract
A growing body of experimental evidence supports the hypothesis that the 3D structure of chromatin in the nucleus is closely linked to important functional processes, including DNA replication and gene regulation. In support of this hypothesis, several research groups have examined sets of functionally associated genomic loci, with the aim of determining whether those loci are statistically significantly colocalized. This work presents a critical assessment of two previously reported analyses, both of which used genome-wide DNA-DNA interaction data from the yeast Saccharomyces cerevisiae, and both of which rely upon a simple notion of the statistical significance of colocalization. We show that these previous analyses rely upon a faulty assumption, and we propose a correct non-parametric resampling approach to the same problem. Applying this approach to the same data set does not support the hypothesis that transcriptionally coregulated genes tend to colocalize, but strongly supports the colocalization of centromeres, and provides some evidence of colocalization of origins of early DNA replication, chromosomal breakpoints and transfer RNAs.
MeSH Terms
Data Interpretation, Statistical
Gene Expression Regulation, Fungal
Genes, Fungal
Genome Components
Genome, Fungal
Genomics/methods
Saccharomyces cerevisiae/genetics
Statistics, Nonparametric
Transcription, Genetic
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Witten Daniela M
Department of Biostatistics, University of Washington, Seattle, WA 98109, USA. dwitten@u.washington.edu
Noble William Stafford
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