Genomic copy number variation association study in Caucasian patients with nonsyndromic cryptorchidism

Copy number variation (CNV) is a potential contributing factor to many genetic diseases. Here we investigated the potential association of CNV with nonsyndromic cryptorchidism, the most common male congenital genitourinary defect, in a Caucasian population. Genome wide genotyping were performed in 5...

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Veröffentlicht in:BMC urology 2016-10, Vol.16 (1), p.62-62, Article 62
Hauptverfasser: Wang, Yanping, Li, Jin, Kolon, Thomas F, Olivant Fisher, Alicia, Figueroa, T Ernesto, BaniHani, Ahmad H, Hagerty, Jennifer A, Gonzalez, Ricardo, Noh, Paul H, Chiavacci, Rosetta M, Harden, Kisha R, Abrams, Debra J, Stabley, Deborah, Kim, Cecilia E, Sol-Church, Katia, Hakonarson, Hakon, Devoto, Marcella, Barthold, Julia Spencer
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Sprache:eng
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Zusammenfassung:Copy number variation (CNV) is a potential contributing factor to many genetic diseases. Here we investigated the potential association of CNV with nonsyndromic cryptorchidism, the most common male congenital genitourinary defect, in a Caucasian population. Genome wide genotyping were performed in 559 cases and 1772 controls (Group 1) using Illumina HumanHap550 v1, HumanHap550 v3 or Human610-Quad platforms and in 353 cases and 1149 controls (Group 2) using the Illumina Human OmniExpress 12v1 or Human OmniExpress 12v1-1. Signal intensity data including log R ratio (LRR) and B allele frequency (BAF) for each single nucleotide polymorphism (SNP) were used for CNV detection using PennCNV software. After sample quality control, gene- and CNV-based association tests were performed using cleaned data from Group 1 (493 cases and 1586 controls) and Group 2 (307 cases and 1102 controls) using ParseCNV software. Meta-analysis was performed using gene-based test results as input to identify significant genes, and CNVs in or around significant genes were identified in CNV-based association test results. Called CNVs passing quality control and signal intensity visualization examination were considered for validation using TaqMan CNV assays and QuantStudio® 3D Digital PCR System. The meta-analysis identified 373 genome wide significant (p 
ISSN:1471-2490
1471-2490
DOI:10.1186/s12894-016-0180-4