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Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study

BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impaired social and communication skills, restricted interests, and repetitive behaviors. The prevalence of ASD among children in Qatar was recently estimated to be 1.1%, though the genetic architecture und...

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Autores principales: Abdi, Mona, Aliyev, Elbay, Trost, Brett, Kohailan, Muhammad, Aamer, Waleed, Syed, Najeeb, Shaath, Rulan, Gandhi, Geethanjali Devadoss, Engchuan, Worrawat, Howe, Jennifer, Thiruvahindrapuram, Bhooma, Geng, Melissa, Whitney, Joe, Syed, Amira, Lakshmi, Jyothi, Hussein, Sura, Albashir, Najwa, Hussein, Amal, Poggiolini, Ilaria, Elhag, Saba F., Palaniswamy, Sasirekha, Kambouris, Marios, de Fatima Janjua, Maria, Tahir, Mohamed O. El, Nazeer, Ahsan, Shahwar, Durre, Azeem, Muhammad Waqar, Mokrab, Younes, Aati, Nazim Abdel, Akil, Ammira, Scherer, Stephen W., Kamal, Madeeha, Fakhro, Khalid A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560429/
https://www.ncbi.nlm.nih.gov/pubmed/37805537
http://dx.doi.org/10.1186/s13073-023-01228-w
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author Abdi, Mona
Aliyev, Elbay
Trost, Brett
Kohailan, Muhammad
Aamer, Waleed
Syed, Najeeb
Shaath, Rulan
Gandhi, Geethanjali Devadoss
Engchuan, Worrawat
Howe, Jennifer
Thiruvahindrapuram, Bhooma
Geng, Melissa
Whitney, Joe
Syed, Amira
Lakshmi, Jyothi
Hussein, Sura
Albashir, Najwa
Hussein, Amal
Poggiolini, Ilaria
Elhag, Saba F.
Palaniswamy, Sasirekha
Kambouris, Marios
de Fatima Janjua, Maria
Tahir, Mohamed O. El
Nazeer, Ahsan
Shahwar, Durre
Azeem, Muhammad Waqar
Mokrab, Younes
Aati, Nazim Abdel
Akil, Ammira
Scherer, Stephen W.
Kamal, Madeeha
Fakhro, Khalid A.
author_facet Abdi, Mona
Aliyev, Elbay
Trost, Brett
Kohailan, Muhammad
Aamer, Waleed
Syed, Najeeb
Shaath, Rulan
Gandhi, Geethanjali Devadoss
Engchuan, Worrawat
Howe, Jennifer
Thiruvahindrapuram, Bhooma
Geng, Melissa
Whitney, Joe
Syed, Amira
Lakshmi, Jyothi
Hussein, Sura
Albashir, Najwa
Hussein, Amal
Poggiolini, Ilaria
Elhag, Saba F.
Palaniswamy, Sasirekha
Kambouris, Marios
de Fatima Janjua, Maria
Tahir, Mohamed O. El
Nazeer, Ahsan
Shahwar, Durre
Azeem, Muhammad Waqar
Mokrab, Younes
Aati, Nazim Abdel
Akil, Ammira
Scherer, Stephen W.
Kamal, Madeeha
Fakhro, Khalid A.
author_sort Abdi, Mona
collection PubMed
description BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impaired social and communication skills, restricted interests, and repetitive behaviors. The prevalence of ASD among children in Qatar was recently estimated to be 1.1%, though the genetic architecture underlying ASD both in Qatar and the greater Middle East has been largely unexplored. Here, we describe the first genomic data release from the BARAKA-Qatar Study—a nationwide program building a broadly consented biorepository of individuals with ASD and their families available for sample and data sharing and multi-omics research. METHODS: In this first release, we present a comprehensive analysis of whole-genome sequencing (WGS) data of the first 100 families (372 individuals), investigating the genetic architecture, including single-nucleotide variants (SNVs), copy number variants (CNVs), tandem repeat expansions (TREs), as well as mitochondrial DNA variants (mtDNA) segregating with ASD in local families. RESULTS: Overall, we identify potentially pathogenic variants in known genes or regions in 27 out of 100 families (27%), of which 11 variants (40.7%) were classified as pathogenic or likely-pathogenic based on American College of Medical Genetics (ACMG) guidelines. Dominant variants, including de novo and inherited, contributed to 15 (55.6%) of these families, consisting of SNVs/indels (66.7%), CNVs (13.3%), TREs (13.3%), and mtDNA variants (6.7%). Moreover, homozygous variants were found in 7 families (25.9%), with a sixfold increase in homozygous burden in consanguineous versus non-consanguineous families (13.6% and 1.8%, respectively). Furthermore, 28 novel ASD candidate genes were identified in 20 families, 23 of which had recurrent hits in MSSNG and SSC cohorts. CONCLUSIONS: This study illustrates the value of ASD studies in under-represented populations and the importance of WGS as a comprehensive tool for establishing a molecular diagnosis for families with ASD. Moreover, it uncovers a significant role for recessive variation in ASD architecture in consanguineous settings and provides a unique resource of Middle Eastern genomes for future research to the global ASD community. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01228-w.
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spelling pubmed-105604292023-10-09 Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study Abdi, Mona Aliyev, Elbay Trost, Brett Kohailan, Muhammad Aamer, Waleed Syed, Najeeb Shaath, Rulan Gandhi, Geethanjali Devadoss Engchuan, Worrawat Howe, Jennifer Thiruvahindrapuram, Bhooma Geng, Melissa Whitney, Joe Syed, Amira Lakshmi, Jyothi Hussein, Sura Albashir, Najwa Hussein, Amal Poggiolini, Ilaria Elhag, Saba F. Palaniswamy, Sasirekha Kambouris, Marios de Fatima Janjua, Maria Tahir, Mohamed O. El Nazeer, Ahsan Shahwar, Durre Azeem, Muhammad Waqar Mokrab, Younes Aati, Nazim Abdel Akil, Ammira Scherer, Stephen W. Kamal, Madeeha Fakhro, Khalid A. Genome Med Research BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impaired social and communication skills, restricted interests, and repetitive behaviors. The prevalence of ASD among children in Qatar was recently estimated to be 1.1%, though the genetic architecture underlying ASD both in Qatar and the greater Middle East has been largely unexplored. Here, we describe the first genomic data release from the BARAKA-Qatar Study—a nationwide program building a broadly consented biorepository of individuals with ASD and their families available for sample and data sharing and multi-omics research. METHODS: In this first release, we present a comprehensive analysis of whole-genome sequencing (WGS) data of the first 100 families (372 individuals), investigating the genetic architecture, including single-nucleotide variants (SNVs), copy number variants (CNVs), tandem repeat expansions (TREs), as well as mitochondrial DNA variants (mtDNA) segregating with ASD in local families. RESULTS: Overall, we identify potentially pathogenic variants in known genes or regions in 27 out of 100 families (27%), of which 11 variants (40.7%) were classified as pathogenic or likely-pathogenic based on American College of Medical Genetics (ACMG) guidelines. Dominant variants, including de novo and inherited, contributed to 15 (55.6%) of these families, consisting of SNVs/indels (66.7%), CNVs (13.3%), TREs (13.3%), and mtDNA variants (6.7%). Moreover, homozygous variants were found in 7 families (25.9%), with a sixfold increase in homozygous burden in consanguineous versus non-consanguineous families (13.6% and 1.8%, respectively). Furthermore, 28 novel ASD candidate genes were identified in 20 families, 23 of which had recurrent hits in MSSNG and SSC cohorts. CONCLUSIONS: This study illustrates the value of ASD studies in under-represented populations and the importance of WGS as a comprehensive tool for establishing a molecular diagnosis for families with ASD. Moreover, it uncovers a significant role for recessive variation in ASD architecture in consanguineous settings and provides a unique resource of Middle Eastern genomes for future research to the global ASD community. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01228-w. BioMed Central 2023-10-07 /pmc/articles/PMC10560429/ /pubmed/37805537 http://dx.doi.org/10.1186/s13073-023-01228-w Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Abdi, Mona
Aliyev, Elbay
Trost, Brett
Kohailan, Muhammad
Aamer, Waleed
Syed, Najeeb
Shaath, Rulan
Gandhi, Geethanjali Devadoss
Engchuan, Worrawat
Howe, Jennifer
Thiruvahindrapuram, Bhooma
Geng, Melissa
Whitney, Joe
Syed, Amira
Lakshmi, Jyothi
Hussein, Sura
Albashir, Najwa
Hussein, Amal
Poggiolini, Ilaria
Elhag, Saba F.
Palaniswamy, Sasirekha
Kambouris, Marios
de Fatima Janjua, Maria
Tahir, Mohamed O. El
Nazeer, Ahsan
Shahwar, Durre
Azeem, Muhammad Waqar
Mokrab, Younes
Aati, Nazim Abdel
Akil, Ammira
Scherer, Stephen W.
Kamal, Madeeha
Fakhro, Khalid A.
Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study
title Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study
title_full Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study
title_fullStr Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study
title_full_unstemmed Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study
title_short Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study
title_sort genomic architecture of autism spectrum disorder in qatar: the baraka-qatar study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560429/
https://www.ncbi.nlm.nih.gov/pubmed/37805537
http://dx.doi.org/10.1186/s13073-023-01228-w
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