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논문 기본 정보

자료유형
학술저널
저자정보
Woo, Jung-Hoon (Macrogen, Inc.) Yang, Song-Ju (Macrogen, Inc.) Yim, Seon-Hee (Intergrated Research Center for Genome Polymorphism, Department of Microbiology, The Catholic University of Korea School of Medicine) Hu, Hae-Jin (Intergrated Research Center for Genome Polymorphism, Department of Microbiology, The Catholic University of Korea School of Medicine) Shin, Myung-Ju (Macrogen, Inc.) Oh, Eun-Hee (Macrogen, Inc.) Kang, Hyun-Woong (Macrogen, Inc.) Park, Seon-Yang (Department of Internal Medicine, Seoul National University College of Medicine) Chung, Yeun-Jun (Intergrated Research Center for Genome Polymorphism, Department of Microbiology, The Catholic University of Korea School of Medicine)
저널정보
한국유전체학회 Genomics & informatics Genomics & informatics 제8권 제1호
발행연도
2010.1
수록면
19 - 27 (9page)

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To discover genetic markers for autism spectrum disorder (ASD), we previously applied genome-wide BAC array comparative genomic hybridization (array-CGH) to 28 autistic patients and 62 normal controls in Korean population, and identified that chromosomal losses on 8p23.1 and on 17p11.2 are significantly associated with autism. In this study, we developed an 8.5K ASD-specific BAC array covering 27 previously reported ASD-associated CNV loci including ours and examined whether the associations would be replicated in 8 ASD patient cell lines of four different ethnic groups and 10 Korean normal controls. As a result, a CNV-loss on 8p23.1 was found to be significantly more frequent in patients regardless of ethnicity (p<0.0001). This CNV region contains two coding genes, DEFA1 and DEFA3, which are members of DEFENSIN gene family. Two other CNVs on 17p11.2 and Xp22.31 were also distributed differently between ASDs and controls, but not significant (p=0.069 and 0.092, respectively). All the other loci did not show significant association. When these evidences are considered, the association between ASD and CNV of DEFENSIN gene seems worthy of further exploration to elucidate the pathogenesis of ASD. Validation studies with a larger sample size will be required to verify its biological implication.

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