Copy number variation accuracy in genome-wide association studies.
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Author
Lin, PengHartz, Sarah M
Wang, Jen-Chyong
Krueger, Robert F
Foroud, Tatiana M
Edenberg, Howard J
Nurnberger, John I
Brooks, Andrew I
Tischfield, Jay A
Almasy, Laura
Webb, Bradley T
Hesselbrock, Victor M
Porjesz, Bernice
Goate, Alison M
Bierut, Laura J
Rice, John P
Journal title
Human heredityDate Published
2011-07-20Publication Volume
71Publication Issue
3Publication Begin page
141Publication End page
7
Metadata
Show full item recordAbstract
Copy number variations (CNVs) are a major source of alterations among individuals and are a potential risk factor in many diseases. Numerous diseases have been linked to deletions and duplications of these chromosomal segments. Data from genome-wide association studies and other microarrays may be used to identify CNVs by several different computer programs, but the reliability of the results has been questioned.To help researchers reduce the number of false-positive CNVs that need to be followed up with laboratory testing, we evaluated the relative performance of CNVPartition, PennCNV and QuantiSNP, and developed a statistical method for estimating sensitivity and positive predictive values of CNV calls and tested it on 96 duplicate samples in our dataset.
We found that the positive predictive rate increases with the number of probes in the CNV and the size of the CNV, with the highest positive predicted rates in CNVs of at least 500 kb and at least 100 probes. Our analysis also indicates that identifying CNVs reported by multiple programs can greatly improve the reproducibility rate and the positive predicted rate.
Our methods can be used by investigators to identify CNVs in genome-wide data with greater reliability.
Citation
Lin P, Hartz SM, Wang JC, Krueger RF, Foroud TM, Edenberg HJ, Nurnberger JI Jr, Brooks AI, Tischfield JA, Almasy L, Webb BT, Hesselbrock VM, Porjesz B, Goate AM, Bierut LJ, Rice JP; COGA Collaborators; COGEND Collaborators; GENEVA Investigators. Copy number variation accuracy in genome-wide association studies. Hum Hered. 2011;71(3):141-7. doi: 10.1159/000324683. Epub 2011 Jul 20. PMID: 21778733; PMCID: PMC3153341.DOI
10.1159/000324683ae974a485f413a2113503eed53cd6c53
10.1159/000324683
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- Creative Commons
Except where otherwise noted, this item's license is described as Copyright © 2011 S. Karger AG, Basel.