{"id":7120,"date":"2025-07-20T00:06:16","date_gmt":"2025-07-20T00:06:16","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/7120\/"},"modified":"2025-07-20T00:06:16","modified_gmt":"2025-07-20T00:06:16","slug":"four-autism-subtypes-map-onto-distinct-genes-traits","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/7120\/","title":{"rendered":"Four autism subtypes map onto distinct genes, traits"},"content":{"rendered":"<p>Autism has long been seen as a single\u2014if highly heterogeneous\u2014condition. But rather than one continuous spectrum, there are distinct autism subtypes, each tied to its own genetic signature, <a href=\"https:\/\/doi.org\/10.1038\/s41588-025-02224-z\" target=\"_blank\" rel=\"nofollow noopener\">a new study<\/a> suggests.<\/p>\n<p>The research, published 9 July in the journal Nature Genetics, connects genetic differences to specific patterns in how autism traits appear, supporting the notion that there are \u201cmany autisms,\u201d says <a href=\"https:\/\/www.iit.it\/people\/michael-lombardo\" target=\"_blank\" rel=\"nofollow noopener\">Michael Lombardo<\/a>, senior researcher of neurodevelopmental disorders at the Istituto Italiano di Tecnologia in Genoa, Italy, who was not involved in the work.<\/p>\n<p>Identifying the genes linked to autism subtypes is just the beginning, Lombardo says. The real challenge now, he adds, \u201cis unraveling the biology that stems from those genes.\u201d<\/p>\n<p>The researchers, led by <a href=\"https:\/\/www.cs.princeton.edu\/people\/profile\/ogt\" target=\"_blank\" rel=\"nofollow noopener\">Olga Troyanskaya<\/a>, professor of computer science and integrative genomics at Princeton University and deputy director for genomics at the Flatiron Institute in New York City, used a computational model to analyze data on 5,392 autistic children aged 4-18 years and their non-autistic siblings collected through the SPARK study. (The Flatiron Institute and the SPARK datasets used in the study are funded by the Simons Foundation, The Transmitter\u2019s parent organization.) The data include genetic findings and parent-reported information on developmental milestones, cognitive and behavioral traits, co-occurring conditions and family history.<\/p>\n<p>The machine learning analysis grouped the autistic people into four subtypes based on their genetic signatures and clinical patterns.<\/p>\n<p>The \u201cSocial\/behavioral\u201d group\u2014accounting for 37 percent of the sample and whose participants show repetitive behaviors, communication challenges and co-occurring conditions, but few developmental delays\u2014has common genetic variants linked to ADHD and depression, and rare variants in genes active primarily after birth in certain brain cells. Another 19 percent belong to the \u201cMixed ASD with Developmental Delay\u201d group, which hit many milestones later in development than children without autism but typically don\u2019t have co-occurring conditions such as anxiety and depression; these participants carry many rare, damaging variants\u2014both inherited and new\u2014in genes active during early brain development in utero.<\/p>\n<p class=\"font-light italic text-2sm p-0 lg:text-3md\">\n            [The real challenge now] \u2018is unraveling the biology that stems from those genes.\u2019        <\/p>\n<p> \u2014 <\/p>\n<p>                 \u2014<br \/>\n                Michael Lombardo <\/p>\n<p>Another group, called \u201cModerate challenges\u201d (34 percent), is distinguished by a developmental pattern similar to the Social\/behavioral group, though with less severity; its participants have rare genetic changes in less essential genes, which may explain their mild core autism traits. The 10 percent of children in the \u201cBroadly affected\u201d group, on the other hand, have prominent autism traits from an early age and carry a heavy load of rare mutations in key genes, including targets of a protein involved in fragile X syndrome.<\/p>\n<p class=\"first-letter:text-2xl first-letter:float-left first-letter:text-red first-letter:pr-2 pb-0\">\n    T<\/p>\n<p>hese genetic differences track with the ages at which children reached certain developmental milestones and their age at autism diagnosis. For example, the groups with variants in early-expressed genes\u2014the Broadly affected and the Mixed ASD with Developmental Delay groups\u2014showed delays in early developmental skills and earlier diagnoses, whereas the group with variants in genes expressed after birth\u2014the Social\/behavioral group\u2014had later diagnoses and developmental timelines similar to those of non-autistic children.<\/p>\n<p>\u201cThere are a lot of kids who seem very neurotypical until a bit later in childhood,\u201d says study investigator <a href=\"https:\/\/www.simonsfoundation.org\/people\/natalie-sauerwald\/\" target=\"_blank\" rel=\"nofollow noopener\">Natalie Sauerwald<\/a>, associate research scientist of computational genomics at the Flatiron Institute. \u201cThe fact that we were able to find genetics that aligns with that was really surprising.\u201d<\/p>\n<p>Other research efforts have identified <a href=\"https:\/\/www.thetransmitter.org\/spectrum\/validating-autism-subtypes-a-crucial-but-often-overlooked-step-in-research\/\" rel=\"nofollow noopener\" target=\"_blank\">autism subgroups<\/a>, but none currently offer the definitive take on how to group populations within the autism spectrum\u2014likely because results depend on who\u2019s studied and how, Lombardo says. The new study included children aged 4-18, which increased the sample size but introduced variability, because a preschooler and a teenager are at different developmental stages, he says. <a href=\"https:\/\/doi.org\/10.1038\/s44220-023-00056-6\" target=\"_blank\" rel=\"nofollow noopener\">His own work<\/a>, focused on narrower age ranges, has found fewer subtypes, suggesting that different datasets may yield different subtypes.<\/p>\n<p>In addition, rather than linking genes to single traits as in past investigations, Troyanskaya and colleagues looked at a person\u2019s overall combination of traits.<\/p>\n<p>The team validated their new findings using data from the Simons Simplex Collection (SSC), which contains information gathered by clinicians. The autism subtypes identified based on parent-reported data were consistent with those found in the SSC, which suggests that the subtypes reflect real differences, Troyanskaya says.<\/p>\n<p>As more data become available, the identified autism subtypes may be further refined, revealing additional genetic and clinical details within each group, she says.<\/p>\n<p>More data can validate the findings across diverse populations and adult cases, which could eventually lead to more tailored diagnoses and support in the future, Sauerwald says.<\/p>\n<p><a href=\"https:\/\/research.pasteur.fr\/en\/member\/thomas-bourgeron\/\" target=\"_blank\" rel=\"nofollow noopener\">Thomas Bourgeron<\/a>, director of the Human Genetics and Cognitive Functions Unit at the Institut Pasteur in Paris, who was not involved in the work, agrees. \u201cSome individuals need medical support, maybe gene therapy, and others need better inclusion in society, better recognition of neurodiversity and so on,\u201d he says.<\/p>\n<p>However, he adds, a common limitation in autism research is that it focuses too much on clinical data and not enough on real-life experiences, so there\u2019s a need for more practical, long-term information to better understand how autism affects daily life. \u201cWe need to have a better idea of the trajectory of these individuals.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"Autism has long been seen as a single\u2014if highly heterogeneous\u2014condition. But rather than one continuous spectrum, there are&hellip;\n","protected":false},"author":2,"featured_media":7121,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25],"tags":[64,63,336,128],"class_list":["post-7120","post","type-post","status-publish","format-standard","has-post-thumbnail","category-genetics","tag-au","tag-australia","tag-genetics","tag-science"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/7120","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=7120"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/7120\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/7121"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=7120"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=7120"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=7120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}