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Genetic clues to autism unlocked by 3D facial scans

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3D facial scans could help to u clock the genetic causes of autism.

New research is using high-tech 3D facial scans to enable a better understanding of the genetic causes of autism. 

Australian researchers used machine learning techniques to analyse 5000 points on faces to measure facial asymmetry in parents of children on the autism spectrum.

The research team had previously found children on the autism spectrum were more likely to have greater facial asymmetry than non-autistic children.

This is important because better understanding of facial characteristics of autistic people contribute to efforts for early identification and help to understand hereditary (or genetic) causal links.

Genetic factors are known to play a major role in autism however there is growing evidence that environmental factors, such as hormones or maternal health, could also influence development of the condition.

In the current study, researchers from Edith Cowan University (ECU), the University of Western Australia (UWA) and Telethon Kids Institute compared the facial asymmetry of 192 parents of autistic children to 163 adults with no known history of autism.

They found parents of children on the autism spectrum had more asymmetric faces than other adults of a similar age.

ECU School of Science Research fellow Dr Syed Zulqarnian Gilani said the research was an important step in better understanding the genetic causes of autism.

“These findings suggest there could be a link between the genes which affect the likelihood of an individual having greater facial asymmetry and autism,” he said.

“By using these cutting-edge 3D scans of faces combined with machine learning techniques we can distinguish between thousands of subtle differences in faces to determine an overall facial asymmetry score.

“When we compared those scores, we saw that faces of parents of autistic children were more likely to have higher asymmetry compared to other adults.”

According to Dr Diana Tan, the project’s lead author and a postdoctoral research associate at UWA and Telethon Kids Institute, the research helps increase our understanding of autism.

“Autism is not traditionally known to be a condition with distinctive facial features, but our research has challenged this notion,” she said.

“Our study provided evidence that the genetic factors leading to the development of autism may also express in physical characteristics, which leads to our understanding of the interplay between genes, physical and brain development in humans.”

“We previously examined another facial marker – facial masculinity – that was associated with autism. The next step of this project would be to evaluate the usefulness of combining facial asymmetry and masculinity in determining the likelihood of autism diagnosis.”

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  1. Pingback: Is facial recognition AI the key to earlier diagnosis? - Health Tech World

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