1. Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder
- Author
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Juthamas Worachotekamjorn, Tippawan Hansakunachai, Duangrurdee Wattanasirichaigoon, Jariya Chuthapisith, Nichara Ruangdaraganon, Natini Jinawath, Kitiwan Rojnueangnit, Weerin Thammachote, Suthat Fucharoen, Areerat Hnoonual, Thipwimol Tim-Aroon, Pornprot Limprasert, Rawiwan Roongpraiwan, and Tasanawat Sombuntham
- Subjects
Male ,0301 basic medicine ,Candidate gene ,Adolescent ,DNA Copy Number Variations ,Microarray ,Autism Spectrum Disorder ,Population ,lcsh:Medicine ,Biology ,Bioinformatics ,Polymorphism, Single Nucleotide ,Article ,Cohort Studies ,03 medical and health sciences ,Polymorphism (computer science) ,mental disorders ,medicine ,Humans ,Genetic Predisposition to Disease ,Clinical significance ,Copy-number variation ,Child ,education ,lcsh:Science ,health care economics and organizations ,education.field_of_study ,Multidisciplinary ,lcsh:R ,Chromosome Mapping ,Infant ,Membrane Proteins ,Microarray Analysis ,medicine.disease ,humanities ,030104 developmental biology ,Autism spectrum disorder ,Child, Preschool ,Female ,lcsh:Q ,Cohort study - Abstract
Chromosomal microarray (CMA) is now recognized as the first-tier genetic test for detection of copy number variations (CNVs) in patients with autism spectrum disorder (ASD). The aims of this study were to identify known and novel ASD associated-CNVs and to evaluate the diagnostic yield of CMA in Thai patients with ASD. The Infinium CytoSNP-850K BeadChip was used to detect CNVs in 114 Thai patients comprised of 68 retrospective ASD patients (group 1) with the use of CMA as a second line test and 46 prospective ASD and developmental delay patients (group 2) with the use of CMA as the first-tier test. We identified 7 (6.1%) pathogenic CNVs and 22 (19.3%) variants of uncertain clinical significance (VOUS). A total of 29 patients with pathogenic CNVs and VOUS were found in 22% (15/68) and 30.4% (14/46) of the patients in groups 1 and 2, respectively. The difference in detected CNV frequencies between the 2 groups was not statistically significant (Chi square = 1.02, df = 1, P = 0.31). In addition, we propose one novel ASD candidate gene, SERINC2, which warrants further investigation. Our findings provide supportive evidence that CMA studies using population-specific reference databases in underrepresented populations are useful for identification of novel candidate genes.
- Published
- 2017
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