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Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder
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 Tha...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608768/ https://www.ncbi.nlm.nih.gov/pubmed/28935972 http://dx.doi.org/10.1038/s41598-017-12317-3 |
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author | Hnoonual, Areerat Thammachote, Weerin Tim-Aroon, Thipwimol Rojnueangnit, Kitiwan Hansakunachai, Tippawan Sombuntham, Tasanawat Roongpraiwan, Rawiwan Worachotekamjorn, Juthamas Chuthapisith, Jariya Fucharoen, Suthat Wattanasirichaigoon, Duangrurdee Ruangdaraganon, Nichara Limprasert, Pornprot Jinawath, Natini |
author_facet | Hnoonual, Areerat Thammachote, Weerin Tim-Aroon, Thipwimol Rojnueangnit, Kitiwan Hansakunachai, Tippawan Sombuntham, Tasanawat Roongpraiwan, Rawiwan Worachotekamjorn, Juthamas Chuthapisith, Jariya Fucharoen, Suthat Wattanasirichaigoon, Duangrurdee Ruangdaraganon, Nichara Limprasert, Pornprot Jinawath, Natini |
author_sort | Hnoonual, Areerat |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5608768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56087682017-10-10 Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder Hnoonual, Areerat Thammachote, Weerin Tim-Aroon, Thipwimol Rojnueangnit, Kitiwan Hansakunachai, Tippawan Sombuntham, Tasanawat Roongpraiwan, Rawiwan Worachotekamjorn, Juthamas Chuthapisith, Jariya Fucharoen, Suthat Wattanasirichaigoon, Duangrurdee Ruangdaraganon, Nichara Limprasert, Pornprot Jinawath, Natini Sci Rep Article 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. Nature Publishing Group UK 2017-09-21 /pmc/articles/PMC5608768/ /pubmed/28935972 http://dx.doi.org/10.1038/s41598-017-12317-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hnoonual, Areerat Thammachote, Weerin Tim-Aroon, Thipwimol Rojnueangnit, Kitiwan Hansakunachai, Tippawan Sombuntham, Tasanawat Roongpraiwan, Rawiwan Worachotekamjorn, Juthamas Chuthapisith, Jariya Fucharoen, Suthat Wattanasirichaigoon, Duangrurdee Ruangdaraganon, Nichara Limprasert, Pornprot Jinawath, Natini Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder |
title | Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder |
title_full | Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder |
title_fullStr | Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder |
title_full_unstemmed | Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder |
title_short | Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder |
title_sort | chromosomal microarray analysis in a cohort of underrepresented population identifies serinc2 as a novel candidate gene for autism spectrum disorder |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608768/ https://www.ncbi.nlm.nih.gov/pubmed/28935972 http://dx.doi.org/10.1038/s41598-017-12317-3 |
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