Category: polygenic risk score

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How to capture the real onset patterns of autism

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Autism does not start at one, two or three years. It is a condition with trajectories, where some individuals show signs early, others later. It doesn’t just happen after some mysterious “medical event”, people are born with it. Scientists know this by tracking outcomes of those with a high likelihood of autism all the way from birth to school age.

We need more research on why features do not show up the same in each person, and how you can predict not just an autism diagnosis but other co-occurring conditions that are common in autism. Finally, science on how to best support each person with autism across their lifespan must continue, not stop. @UCL and @KCL are conducting just that type of research – that understands that features of autism change over time, emerge at different ages and also are accompanied by different biological features. This week we talk to Tony Charman, Tessel Bazelmans, Emily Jones and Mark Johnson who are pioneers in understanding how autism features emerge and change over time, but start in early infancy.

https://pubmed.ncbi.nlm.nih.gov/42640439

https://pubmed.ncbi.nlm.nih.gov/42410708

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Have you heard the good news?

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The National Institutes of Health just awarded $50million to 13 different research sites to better understand genetic and environmental contributions to an autism diagnosis, or increase in prevalence in autism, as well as environmental factors which improve the quality of life for children and adults with ASD.

You can read about them here or listen to this 30 minute podcast which summarizes them.

https://dpcpsi.nih.gov/autism-data-science-initiative/funded-research

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What labels should be used to describe autism?

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This week’s podcast includes summaries from two new scientific studies (with comments from one of the studies’ authors @SimonsFoundation and @princetonPPH) about that tackle grouping and labeling the differences across the spectrum into meaningful subtypes. Both provide scientific evidence, including behavioral and biological data, that support the use of different labels. This is more evidence that lumping everyone into one unitary “autism” diagnosis is not meaningful or biologically accurate, and that using computer-driven approaches, different behavioral subtypes map onto behavioral features. This supports approaches that more clearly describe different types of autism for better supports.

https://pubmed.ncbi.nlm.nih.gov/40651720

https://www.nature.com/articles/s41588-025-02224-z

https://www.sciencedirect.com/science/article/pii/S2451902224003793?via%3Dihub

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Breakthrough for those with rare genetic disorders

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This week, more on genetics as an influence to an autism diagnosis with a twist: can genetics lead to a specific treatment for core symptoms – across the board? How do you measure such broad symptoms? Our Rett Syndrome family friends and colleagues developed a novel outcome measure to capture what was most important to them, and the FDA approved it for use in a clinical trial. Years later, a new drug was approved that led to a reduction in behaviors associated with Rett Syndrome. Autism can take a lesson from this. In addition, can the genetics of autism be explained by parents with similar phenotypes? This is called assortative mating. The answer is complex.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450502/pdf/fped-11-1229553.pdf

https://www.nature.com/articles/s41591-023-02398-1

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/38877467

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Genetic confounding plus organoids

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You heard it in the news this week, and we discuss it on this week’s ASF podcast. Can you make little brains in a dish then make them better by providing them a real structured live neural environment? Can these organoids integrate with a live brain and be functional in vivo? The answers are: yes! Learn more from a new study published this week. Also, what the h**l is genetic confounding and how can it address many of the controversies of genetic vs. the environment? Sometimes genes that predispose to a disorder also predispose to environmental factors leading to that disorder. There is always room for both. Here are the links I promised:

https://www.fhi.no/en/studies/moba/

https://pubmed.ncbi.nlm.nih.gov/35793100/

https://www.nature.com/articles/s41586-022-05277-w