DocumentCode :
2493234
Title :
Estimation of correlations between copy-number variants in non-coding DNA
Author :
Stamoulis, Catherine
Author_Institution :
Depts. of Neurology & Radiol., Children´´s Hosp. Boston, Boston, MA, USA
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
5563
Lastpage :
5566
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.
Keywords :
DNA; cellular biophysics; genetics; molecular biophysics; random processes; signal processing; CNV detection; chromosomes; copy-number variants; gene-coding region; noncoding DNA; random long-distance correlation; signal processing; Bioinformatics; Biological cells; Correlation; Covariance matrix; DNA; Genomics; Humans; Algorithms; Animals; Chromosome Mapping; DNA; DNA Copy Number Variations; DNA Mutational Analysis; Gene Dosage; Humans; Sequence Analysis, DNA; Statistics as Topic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091345
Filename :
6091345
Link To Document :
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