Copy Number Variation Accuracy in Genome-Wide Association Studies | Zendy

Pinpin Lin | Zendy; Sarah M. Hartz | Zendy; Jen-Chyong Wang | Zendy; Robert F. Krueger | Zendy; Tatiana Foroud | Zendy; Howard J. Edenberg | Zendy; John I. Nürnberger | Zendy; Andrew I. Brooks | Zendy; Jay A. Tischfield | Zendy; Laura Almasy | Zendy; Bradley T. Webb | Zendy; Victor Hesselbrock | Zendy; Bernice Porjesz | Zendy; Alison Goate | Zendy; Laura J. Bierut | Zendy; John P. Rice | Zendy

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Copy Number Variation Accuracy in Genome-Wide Association Studies

Author(s) -

Pinpin Lin,

Sarah M. Hartz,

Jen-Chyong Wang,

Robert F. Krueger,

Tatiana Foroud,

Howard J. Edenberg,

John I. Nürnberger,

Andrew I. Brooks,

Jay A. Tischfield,

Laura Almasy,

Bradley T. Webb,

Victor Hesselbrock,

Bernice Porjesz,

Alison Goate,

Laura J. Bierut,

John P. Rice

Publication year - 2011

Publication title -

human heredity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.423

H-Index - 62

eISSN - 1423-0062

pISSN - 0001-5652

DOI - 10.1159/000324683

Subject(s) - copy number variation , biology , genetics , dna microarray , genome wide association study , genome , reliability (semiconductor) , computational biology , bioinformatics , single nucleotide polymorphism , gene , genotype , power (physics) , gene expression , physics , quantum mechanics

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.

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