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World’s Largest Autism Whole Genome Sequencing Study Reveals 134 Autism-Linked Genes

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News Release, (2022, November 10). World’s Largest Autism Whole Genome Sequencing Study Reveals 134 Autism-Linked Genes. Psychreg on Special Needs. https://www.psychreg.org/worlds-largest-autism-whole-genome-sequencing-study-reveals-134-autism-linked-genes/
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Researchers from The Hospital for Sick Children (SickKids) have uncovered new genes and genetic changes associated with autism spectrum disorder (ASD) in the largest autism whole genome sequencing analysis to date, providing a better understanding of the ‘genomic architecture’ that underlies this disorder.

The study, published in the journal Cell, used whole genome sequencing (WGS) to examine the entire genomes of over 7,000 individuals with autism as well as an additional 13,000 siblings and family members. The team found 134 genes linked with ASD and discovered a range of genetic changes, most notably gene copy number variations (CNVs), likely to be associated with autism, including ASD-associated rare variants in about 14% of participants with autism.

The majority of data was drawn from the Autism Speaks MSSNG database, the world’s largest autism whole genome dataset, which provides autism researchers with free, open access to thousands of sequenced genomes.

‘By sequencing the entire genome of all participants, and with deep involvement from the participating families in MSSNG on forming our research priorities, we maximize the potential for discovery and allow analysis that encompasses all types of variants, from the smallest DNA changes to those that affect entire chromosomes,’ said Dr Stephen Scherer, senior scientist at Genetics & Genome Biology and chief of research at SickKids and director of the McLaughlin Centre at the University of Toronto.

Dr Brett Trost, the lead author of the paper and a research associate in the Genetics & Genome Biology programme at SickKids, notes the use of WGS allowed researchers to uncover variant types that would not have otherwise been detectable. These variant types include complex rearrangements of DNA, as well as tandem repeat expansions, a finding supported by recent SickKids research on the link between autism and DNA segments that are repeated many times. The role of the maternally inherited mitochondrial DNA was also examined in the study and found to account for 2% of autism.

The paper also points to important nuances in autism genetics in families with only one individual with autism compared with families that have multiple individuals with autism, known as multiplex families. Surprising to the team was that the ‘polygenic score’ – an estimation of the likelihood of an individual having autism, calculated by aggregating the effects of thousands of common variants throughout the genome – was not higher among multiplex families.

‘This suggests that autism in multiplex families may be more likely to be linked to rare, highly impactful variants inherited from a parent. Because both the genetics and clinical traits associated with autism are so complex and varied, large data sets like the ones we used are critical to providing researchers with a clearer understanding of the genetic architecture of autism,’ said Trost.

The research team says the study data can help expand inquiries into the range of variants that might be linked to ASD, as well as efforts to better understand contributors to the 85 per cent of autistic individuals for which the genetic cause remains unresolved. In a linked study of 325 families with ASD from Newfoundland published this same month in Nature Communications, Dr Scherer’s team found that combinations of spontaneous, rare-inherited, and polygenic genetic factors coming together in the same individual can potentially lead to different sub-types of autism.

Dr Suzanne Lewis, a geneticist and investigator at the BC Children’s Hospital Research Institute who diagnosed many of the families enrolled in the study said: ‘Collectively, these latest findings represent a massive step forward in better understanding the complex genetic and biological circuitry linked with ASD. This rich data set also offers an opportunity to dive deeper into examining other factors that may determine an individual’s chance of developing this complex condition to help individualise future treatment approaches.’

Funding for this study was provided by the University of Toronto McLaughlin Centre, Genome Canada/Ontario Genomics, Genome BC, Government of Ontario, Canadian Institutes of Health Research, Canada Foundation for Innovation, Autism Speaks, Autism Speaks Canada, Brain Child, Kids Brain Health Network, Qatar National Research Fund, Ontario Brain Institute, SFARI and SickKids Foundation.

About The Hospital for Sick Children (SickKids)

The Hospital for Sick Children (SickKids) is recognised as one of the world’s foremost paediatric healthcare institutions and is Canada’s leading centre dedicated to advancing children’s health through the integration of patient care, research and education. Founded in 1875 and affiliated with the University of Toronto, SickKids is one of Canada’s most research-intensive hospitals and has generated discoveries that have helped children globally. Its mission is to provide the best in complex and specialized family-centred care; pioneer scientific and clinical advancements; share expertise; foster an academic environment that nurtures healthcare professionals; and champion an accessible, comprehensive and sustainable child health system. SickKids is a founding member of Kids Health Alliance, a network of partners working to create a high-quality, consistent and coordinated approach to paediatric health care that is centred around children, youth and their families. SickKids is proud of its vision for Healthier Children. A Better World.

About MSSNG

MSSNG is a collaboration between Autism Speaks, Verily, DNAstack, Hospital for Sick Children (SickKids), and the research community to create the world’s largest whole genome sequencing database on autism with deep phenotyping. MSSNG’s goal is to provide the best resources to enable the identification of many subtypes of autism, which may lead to better diagnostics, as well as personalised and more accurate treatments. The MSSNG database intends to make its data as useful and widely accessible to researchers as possible, including access to local computing and storage resources and providing genomic exploration tools for standard and custom analyses. MSSNG’s philosophy is to promote and enable open science research with responsible sharing to lead to a better understanding of autism.


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