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Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants
Autism spectrum disorder (ASD) is a collection of neurodevelopmental disorders characterized by deficits in social communication and restricted, repetitive patterns of behavior or interests. ASD is highly heritable, but genetically and phenotypically heterogeneous, reducing the power to identify cau...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861044/ https://www.ncbi.nlm.nih.gov/pubmed/35190550 http://dx.doi.org/10.1038/s41525-022-00284-2 |
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author | Tuncay, Islam Oguz Parmalee, Nancy L. Khalil, Raida Kaur, Kiran Kumar, Ashwani Jimale, Mohamed Howe, Jennifer L. Goodspeed, Kimberly Evans, Patricia Alzghoul, Loai Xing, Chao Scherer, Stephen W. Chahrour, Maria H. |
author_facet | Tuncay, Islam Oguz Parmalee, Nancy L. Khalil, Raida Kaur, Kiran Kumar, Ashwani Jimale, Mohamed Howe, Jennifer L. Goodspeed, Kimberly Evans, Patricia Alzghoul, Loai Xing, Chao Scherer, Stephen W. Chahrour, Maria H. |
author_sort | Tuncay, Islam Oguz |
collection | PubMed |
description | Autism spectrum disorder (ASD) is a collection of neurodevelopmental disorders characterized by deficits in social communication and restricted, repetitive patterns of behavior or interests. ASD is highly heritable, but genetically and phenotypically heterogeneous, reducing the power to identify causative genes. We performed whole genome sequencing (WGS) in an ASD cohort of 68 individuals from 22 families enriched for recent shared ancestry. We identified an average of 3.07 million variants per genome, of which an average of 112,512 were rare. We mapped runs of homozygosity (ROHs) in affected individuals and found an average genomic homozygosity of 9.65%, consistent with expectations for multiple generations of consanguineous unions. We identified potentially pathogenic rare exonic or splice site variants in 12 known (including KMT2C, SCN1A, SPTBN1, SYNE1, ZNF292) and 12 candidate (including CHD5, GRB10, PPP1R13B) ASD genes. Furthermore, we annotated noncoding variants in ROHs with brain-specific regulatory elements and identified putative disease-causing variants within brain-specific promoters and enhancers for 5 known ASD and neurodevelopmental disease genes (ACTG1, AUTS2, CTNND2, CNTNAP4, SPTBN4). We also identified copy number variants in two known ASD and neurodevelopmental disease loci in two affected individuals. In total we identified potentially etiological variants in known ASD or neurodevelopmental disease genes for ~61% (14/23) of affected individuals. We combined WGS with homozygosity mapping and regulatory element annotations to identify candidate ASD variants. Our analyses add to the growing number of ASD genes and variants and emphasize the importance of leveraging recent shared ancestry to map disease variants in complex neurodevelopmental disorders. |
format | Online Article Text |
id | pubmed-8861044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88610442022-03-15 Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants Tuncay, Islam Oguz Parmalee, Nancy L. Khalil, Raida Kaur, Kiran Kumar, Ashwani Jimale, Mohamed Howe, Jennifer L. Goodspeed, Kimberly Evans, Patricia Alzghoul, Loai Xing, Chao Scherer, Stephen W. Chahrour, Maria H. NPJ Genom Med Article Autism spectrum disorder (ASD) is a collection of neurodevelopmental disorders characterized by deficits in social communication and restricted, repetitive patterns of behavior or interests. ASD is highly heritable, but genetically and phenotypically heterogeneous, reducing the power to identify causative genes. We performed whole genome sequencing (WGS) in an ASD cohort of 68 individuals from 22 families enriched for recent shared ancestry. We identified an average of 3.07 million variants per genome, of which an average of 112,512 were rare. We mapped runs of homozygosity (ROHs) in affected individuals and found an average genomic homozygosity of 9.65%, consistent with expectations for multiple generations of consanguineous unions. We identified potentially pathogenic rare exonic or splice site variants in 12 known (including KMT2C, SCN1A, SPTBN1, SYNE1, ZNF292) and 12 candidate (including CHD5, GRB10, PPP1R13B) ASD genes. Furthermore, we annotated noncoding variants in ROHs with brain-specific regulatory elements and identified putative disease-causing variants within brain-specific promoters and enhancers for 5 known ASD and neurodevelopmental disease genes (ACTG1, AUTS2, CTNND2, CNTNAP4, SPTBN4). We also identified copy number variants in two known ASD and neurodevelopmental disease loci in two affected individuals. In total we identified potentially etiological variants in known ASD or neurodevelopmental disease genes for ~61% (14/23) of affected individuals. We combined WGS with homozygosity mapping and regulatory element annotations to identify candidate ASD variants. Our analyses add to the growing number of ASD genes and variants and emphasize the importance of leveraging recent shared ancestry to map disease variants in complex neurodevelopmental disorders. Nature Publishing Group UK 2022-02-21 /pmc/articles/PMC8861044/ /pubmed/35190550 http://dx.doi.org/10.1038/s41525-022-00284-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tuncay, Islam Oguz Parmalee, Nancy L. Khalil, Raida Kaur, Kiran Kumar, Ashwani Jimale, Mohamed Howe, Jennifer L. Goodspeed, Kimberly Evans, Patricia Alzghoul, Loai Xing, Chao Scherer, Stephen W. Chahrour, Maria H. Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants |
title | Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants |
title_full | Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants |
title_fullStr | Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants |
title_full_unstemmed | Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants |
title_short | Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants |
title_sort | analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861044/ https://www.ncbi.nlm.nih.gov/pubmed/35190550 http://dx.doi.org/10.1038/s41525-022-00284-2 |
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