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On the frequency of copy number variants
Author(s) -
Iuliana IonitaLaza,
Nan M. Laird,
Benjamin A. Raby,
Scott T. Weiss,
Christoph Lange
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn421
Subject(s) - copy number variation , computer science , false positive paradox , spurious relationship , mendelian inheritance , frequency distribution , statistics , genetics , biology , artificial intelligence , mathematics , machine learning , genome , gene
Estimating the frequency distribution of copy number variants (CNVs) is an important aspect of the effort to characterize this new type of genetic variation. Currently, most studies report a strong skew toward low-frequency CNVs. In this article, our goal is to investigate the frequencies of CNVs. We employ a two-step procedure for the CNV frequency estimation process. We use family information a posteriori to select only the most reliable CNV regions, i.e. those showing high rates of Mendelian transmission.

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