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

Authors :
Mona Abdi
Elbay Aliyev
Brett Trost
Muhammad Kohailan
Waleed Aamer
Najeeb Syed
Rulan Shaath
Geethanjali Devadoss Gandhi
Worrawat Engchuan
Jennifer Howe
Bhooma Thiruvahindrapuram
Melissa Geng
Joe Whitney
Amira Syed
Jyothi Lakshmi
Sura Hussein
Najwa Albashir
Amal Hussein
Ilaria Poggiolini
Saba F. Elhag
Sasirekha Palaniswamy
Marios Kambouris
Maria de Fatima Janjua
Mohamed O. El Tahir
Ahsan Nazeer
Durre Shahwar
Muhammad Waqar Azeem
Younes Mokrab
Nazim Abdel Aati
Ammira Akil
Stephen W. Scherer
Madeeha Kamal
Khalid A. Fakhro
Source :
Genome Medicine, Vol 15, Iss 1, Pp 1-16 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
1756994X
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.05529e45040b4a24a408cfbaedbd8c6f
Document Type :
article
Full Text :
https://doi.org/10.1186/s13073-023-01228-w