title: Estimation of correlations between copy-number variants in non-coding DNA.
abstract: Allelic DNA aberrations across our genome have been associated with normal human genetic heterogeneity as well as with a number of diseases and disorders. When copy-number variations (CNVs) occur in gene-coding regions, known relationships between genes may help us understand correlations between CNVs. However, a large number of these aberrations occur in non-coding, extragenic regions and their correlations may be characterized only quantitatively, e.g., probabilistically, but not functionally. Using a signal processing approach to CNV detection, we identified distributed CNVs in short, non-coding regions across chromosomes and investigated their potential correlations. We estimated predominantly local correlations between CNVs within the same chromosome, and a small number of apparently random long-distance correlations.
authors.affiliation: Departments of Neurology and Radiology and the Clinical Research Program, Children’s Hospital Boston and Harvard Medical School, Boston, MA 02115, USA.
authors.forename: Catherine
authors.initials: C
authors.lastname: Stamoulis
mesh_terms: D000465:Algorithms; D000818:Animals; D002874:Chromosome Mapping / Q000379:methods*; D004247:DNA / Q000235:genetics*; D056915:DNA Copy Number Variations / Q000235:genetics*; D004252:DNA Mutational Analysis / Q000379:methods*; D018628:Gene Dosage / Q000235:genetics*; D006801:Humans; D017422:Sequence Analysis, DNA / Q000379:methods*; D013223:Statistics as Topic
chemical_list: D004247:DNA