The genetic landscape of autism spectrum disorder in an ancestrally diverse cohort

Autism spectrum disorder (ASD) comprises neurodevelopmental disorders with wide variability in genetic causes and phenotypes, making it challenging to pinpoint causal genes. We performed whole exome sequencing on a modest, ancestrally diverse cohort of 195 families, including 754 individuals (222 with ASD), and identified 38,834 novel private variants. In 68 individuals with ASD (~30%), we identified 92 potentially pathogenic variants in 73 known genes, including BCORL1, CDKL5, CHAMP1, KAT6A, MECP2, and SETD1B. Additionally, we identified 158 potentially pathogenic variants in 120 candidate genes, including DLG3, GABRQ, KALRN, KCTD16, and SLC8A3. We also found 34 copy number variants in 31 individuals overlapping known ASD loci. Our work expands the catalog of ASD genetics by identifying hundreds of variants across diverse ancestral backgrounds, highlighting convergence on nervous system development and signal transduction. These findings provide insights into the genetic underpinnings of ASD and inform molecular diagnosis and potential therapeutic targets.

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Publication Details

Journal
npj Genomic Medicine
Published
2024-12-04
DOI
https://doi.org/10.1038/s41525-024-00444-6
Citations
10
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
3.43

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article

The genetic landscape of autism spectrum disorder in an ancestrally diverse cohort

Patricia Evans, Kiran Kaur, Maria H. Chahrour, Mahmoud Bashtawi et al.
10 citations
npj Genomic Medicine
Autism Spectrum Disorder Research
3.43
article

The genetic landscape of autism spectrum disorder in an ancestrally diverse cohort

Patricia Evans, Kiran Kaur, Maria H. Chahrour, Mahmoud Bashtawi, Kimberly Goodspeed, Ashlesha Gogate, Raida Khalil, Mary Ann Morris
article en
10 citations

Abstract

Autism spectrum disorder (ASD) comprises neurodevelopmental disorders with wide variability in genetic causes and phenotypes, making it challenging to pinpoint causal genes. We performed whole exome sequencing on a modest, ancestrally diverse cohort of 195 families, including 754 individuals (222 with ASD), and identified 38,834 novel private variants. In 68 individuals with ASD (~30%), we identified 92 potentially pathogenic variants in 73 known genes, including BCORL1, CDKL5, CHAMP1, KAT6A, MECP2, and SETD1B. Additionally, we identified 158 potentially pathogenic variants in 120 candidate genes, including DLG3, GABRQ, KALRN, KCTD16, and SLC8A3. We also found 34 copy number variants in 31 individuals overlapping known ASD loci. Our work expands the catalog of ASD genetics by identifying hundreds of variants across diverse ancestral backgrounds, highlighting convergence on nervous system development and signal transduction. These findings provide insights into the genetic underpinnings of ASD and inform molecular diagnosis and potential therapeutic targets.

npj Genomic MedicineVol. 9(1)
Children's Medical Center (US), Philadelphia University (JO), Jordan University of Science and Technology (JO), King Abdullah University Hospital (JO), Southwestern Medical Center (US), The University of Texas Southwestern Medical Center (US)
Cantor Foundation, Iris & B. Gerald, University of Texas Southwestern Medical Center, Regeneron Pharmaceuticals
Openalex Percentile: Top 7%
Autism Spectrum Disorder Research
3.43
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