Journal article
Predictive impact of rare genomic copy number variations in siblings of individuals with autism spectrum disorders
- Abstract:
-
Identification of genetic biomarkers associated with autism spectrum disorders (ASDs) could improve recurrence prediction for families with a child with ASD. Here, we describe clinical microarray findings for 253 longitudinally phenotyped ASD families from the Baby Siblings Research Consortium (BSRC), encompassing 288 infant siblings. By age 3, 103 siblings (35.8%) were diagnosed with ASD and 54 (18.8%) were developing atypically. Thirteen siblings have copy number variants (CNVs) involving A...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Nature Research Publisher's website
- Journal:
- Nature Communications Journal website
- Volume:
- 10
- Article number:
- 5519
- Publication date:
- 2019-12-05
- Acceptance date:
- 2019-10-31
- DOI:
- EISSN:
-
2041-1723
- Pmid:
-
31801954
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1128338
- Local pid:
- pubs:1128338
- Deposit date:
- 2020-12-09
Terms of use
- Copyright holder:
- D’Abate et al.
- Copyright date:
- 2019
- Rights statement:
- Copyright © 2020 The Author(s). 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/.
- Licence:
- CC Attribution (CC BY)
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