TY - JOUR
T1 - Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants
AU - Tuncay, Islam Oguz
AU - Parmalee, Nancy L.
AU - Khalil, Raida
AU - Kaur, Kiran
AU - Kumar, Ashwani
AU - Jimale, Mohamed
AU - Howe, Jennifer L.
AU - Goodspeed, Kimberly
AU - Evans, Patricia
AU - Alzghoul, Loai
AU - Xing, Chao
AU - Scherer, Stephen W.
AU - Chahrour, Maria H.
N1 - Funding Information:
We are grateful to the families for their participation in our study. We also wish to acknowledge the resources of MSSNG ( www.mss.ng ), Autism Speaks, and The Centre for Applied Genomics at The Hospital for Sick Children, Toronto, Canada. We also thank the participating families for their time and contributions to this database, as well as the generosity of the donors who supported this program. We thank Chelsea Burroughs for assistance in preparing the figures. We thank Jeff MacDonald and Bhooma Thiruvahindrapuram for providing computational support. This work was supported by funding from the University of Texas Southwestern Medical Center and the Walter and Lillian Cantor Foundation to M.H.C., the University of Toronto McLaughlin Centre, The Centre for Applied Genomics, Autism Speaks, and Autism Speaks Canada. S.W.S. holds the Northbridge Chair in Paediatric Research, a joint Hospital-University Chair between the University of Toronto, the Hospital for Sick Children, and the SickKids Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Funding Information:
We are grateful to the families for their participation in our study. We also wish to acknowledge the resources of MSSNG (www.mss.ng), Autism Speaks, and The Centre for Applied Genomics at The Hospital for Sick Children, Toronto, Canada. We also thank the participating families for their time and contributions to this database, as well as the generosity of the donors who supported this program. We thank Chelsea Burroughs for assistance in preparing the figures. We thank Jeff MacDonald and Bhooma Thiruvahindrapuram for providing computational support. This work was supported by funding from the University of Texas Southwestern Medical Center and the Walter and Lillian Cantor Foundation to M.H.C., the University of Toronto McLaughlin Centre, The Centre for Applied Genomics, Autism Speaks, and Autism Speaks Canada. S.W.S. holds the Northbridge Chair in Paediatric Research, a joint Hospital-University Chair between the University of Toronto, the Hospital for Sick Children, and the SickKids Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=85125402935&partnerID=8YFLogxK
U2 - 10.1038/s41525-022-00284-2
DO - 10.1038/s41525-022-00284-2
M3 - Article
C2 - 35190550
AN - SCOPUS:85125402935
SN - 2056-7944
VL - 7
JO - npj Genomic Medicine
JF - npj Genomic Medicine
IS - 1
M1 - 13
ER -