Objective: To determine the association of identified copy number variations (CNVs) in whole genome with the risk of Avellino corneal dystrophy (ACD) in a Korean population. Design: Case-control study. Participants: A total of 146 patients with ACD and 226 control subjects. Methods: A total of 193 trios were genotyped by the Illumina HumanHapCNV370-Duo BeadChip (370 404 markers) (Illumina, Inc., San Diego, CA). The intensity signal (log R ratio) and allelic intensity ratio (B allele frequency) of each marker in all individuals were obtained by Illumina BeadStudio software (Illumina, Inc.). To obtain authentic CNVs in this study, we performed a family-based CNV validation and family-based boundary mapping using the PennCNV algorithm, which incorporates multiple factors, including total log R ratio, B allele frequency, and family information, based on an integrated hidden Markov model. Main Outcome Measures: Statistical comparison and identification of CNVs between case and control using family information. Results: We identified 27 267 individual trio CNVs with a median size of 16.2 kb, aggregated in 2245 CNV regions. Most of the identified trio CNVs in this study showed well-defined CNV boundaries and overlapped with those in the Database of Genomic Variants (DGV) (83.4% in number and 79.2% in length). With the common CNV regions (264 CNV regions >5%), we performed a family-based association test with the risk of ACD. Conclusions: Two CNV regions (chr6:29978470-29987783 and chr14:59896944-59916129) were significantly associated with the risk of ACD (P=0.05∼0.003 and P=0.008, respectively). This study describes the first results of a genome-wide association analysis of individual CNVs with the risk of ACD and shows that 2 novel CNV loci may be involved in the risk of ACD.
Bibliographical noteFunding Information:
Supported by an intramural grant ( 4845-301-430-210-13 ) from the Korea National Institute of Health , Korea Center for Disease Control , Republic of Korea , and a grant from the Korea Science and Engineering Foundation funded by the Korean government (Ministry of Education, Science, and Technology) (No. 2009-0080157 ).
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