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Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes
Autism spectrum disorder (ASD) is a genetically heterogeneous condition, caused by a combination of rare de novo and inherited variants as well as common variants in at least several hundred genes. However, significantly larger sample sizes are needed to identify the complete set of genetic risk fac...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707204/ https://www.ncbi.nlm.nih.gov/pubmed/31452935 http://dx.doi.org/10.1038/s41525-019-0093-8 |
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author | Feliciano, Pamela Zhou, Xueya Astrovskaya, Irina Turner, Tychele N. Wang, Tianyun Brueggeman, Leo Barnard, Rebecca Hsieh, Alexander Snyder, LeeAnne Green Muzny, Donna M. Sabo, Aniko Gibbs, Richard A. Eichler, Evan E. O’Roak, Brian J. Michaelson, Jacob J. Volfovsky, Natalia Shen, Yufeng Chung, Wendy K. |
author_facet | Feliciano, Pamela Zhou, Xueya Astrovskaya, Irina Turner, Tychele N. Wang, Tianyun Brueggeman, Leo Barnard, Rebecca Hsieh, Alexander Snyder, LeeAnne Green Muzny, Donna M. Sabo, Aniko Gibbs, Richard A. Eichler, Evan E. O’Roak, Brian J. Michaelson, Jacob J. Volfovsky, Natalia Shen, Yufeng Chung, Wendy K. |
author_sort | Feliciano, Pamela |
collection | PubMed |
description | Autism spectrum disorder (ASD) is a genetically heterogeneous condition, caused by a combination of rare de novo and inherited variants as well as common variants in at least several hundred genes. However, significantly larger sample sizes are needed to identify the complete set of genetic risk factors. We conducted a pilot study for SPARK (SPARKForAutism.org) of 457 families with ASD, all consented online. Whole exome sequencing (WES) and genotyping data were generated for each family using DNA from saliva. We identified variants in genes and loci that are clinically recognized causes or significant contributors to ASD in 10.4% of families without previous genetic findings. In addition, we identified variants that are possibly associated with ASD in an additional 3.4% of families. A meta-analysis using the TADA framework at a false discovery rate (FDR) of 0.1 provides statistical support for 26 ASD risk genes. While most of these genes are already known ASD risk genes, BRSK2 has the strongest statistical support and reaches genome-wide significance as a risk gene for ASD (p-value = 2.3e−06). Future studies leveraging the thousands of individuals with ASD who have enrolled in SPARK are likely to further clarify the genetic risk factors associated with ASD as well as allow accelerate ASD research that incorporates genetic etiology. |
format | Online Article Text |
id | pubmed-6707204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67072042019-08-26 Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes Feliciano, Pamela Zhou, Xueya Astrovskaya, Irina Turner, Tychele N. Wang, Tianyun Brueggeman, Leo Barnard, Rebecca Hsieh, Alexander Snyder, LeeAnne Green Muzny, Donna M. Sabo, Aniko Gibbs, Richard A. Eichler, Evan E. O’Roak, Brian J. Michaelson, Jacob J. Volfovsky, Natalia Shen, Yufeng Chung, Wendy K. NPJ Genom Med Article Autism spectrum disorder (ASD) is a genetically heterogeneous condition, caused by a combination of rare de novo and inherited variants as well as common variants in at least several hundred genes. However, significantly larger sample sizes are needed to identify the complete set of genetic risk factors. We conducted a pilot study for SPARK (SPARKForAutism.org) of 457 families with ASD, all consented online. Whole exome sequencing (WES) and genotyping data were generated for each family using DNA from saliva. We identified variants in genes and loci that are clinically recognized causes or significant contributors to ASD in 10.4% of families without previous genetic findings. In addition, we identified variants that are possibly associated with ASD in an additional 3.4% of families. A meta-analysis using the TADA framework at a false discovery rate (FDR) of 0.1 provides statistical support for 26 ASD risk genes. While most of these genes are already known ASD risk genes, BRSK2 has the strongest statistical support and reaches genome-wide significance as a risk gene for ASD (p-value = 2.3e−06). Future studies leveraging the thousands of individuals with ASD who have enrolled in SPARK are likely to further clarify the genetic risk factors associated with ASD as well as allow accelerate ASD research that incorporates genetic etiology. Nature Publishing Group UK 2019-08-23 /pmc/articles/PMC6707204/ /pubmed/31452935 http://dx.doi.org/10.1038/s41525-019-0093-8 Text en © The Author(s) 2019 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 Feliciano, Pamela Zhou, Xueya Astrovskaya, Irina Turner, Tychele N. Wang, Tianyun Brueggeman, Leo Barnard, Rebecca Hsieh, Alexander Snyder, LeeAnne Green Muzny, Donna M. Sabo, Aniko Gibbs, Richard A. Eichler, Evan E. O’Roak, Brian J. Michaelson, Jacob J. Volfovsky, Natalia Shen, Yufeng Chung, Wendy K. Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes |
title | Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes |
title_full | Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes |
title_fullStr | Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes |
title_full_unstemmed | Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes |
title_short | Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes |
title_sort | exome sequencing of 457 autism families recruited online provides evidence for autism risk genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707204/ https://www.ncbi.nlm.nih.gov/pubmed/31452935 http://dx.doi.org/10.1038/s41525-019-0093-8 |
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