Genes related to sex steroids, neural growth, and social-emotional behavior are associated with autistic traits, empathy, and Asperger syndrome.
Two genes that control steroid hormones and brain cell growth passed the math test for ties to autistic traits and Asperger syndrome.
01Research in Context
What this study did
Scientists scanned DNA from the adults. They looked for tiny gene differences tied to empathy, autistic traits, or Asperger diagnosis. They focused on 11 genes that handle sex steroids, brain growth, or social-emotion circuits.
What they found
Two genes stood up after math correction: CYP11B1 and NTRK1. CYP11B1 helps make steroid hormones. NTRK1 helps brain cells grow and survive. The other nine genes showed trends but did not survive the strict correction.
How this fits with other research
Zhong et al. (2024) extends the hormone idea backward in time. They found that high thyroid hormone in mid-pregnancy predicted more autistic traits at age 3. This links prenatal hormones to later social outcomes, just as B et al. link adult genes to the same traits.
Carter et al. (2011) offers a theory that fits the CYP11B1 finding. They argue that high testosterone in baby boys raises amygdala arousal, making social stress feel worse. The theory and the gene data both point to sex-steroid levels shaping social fear circuits.
van Rijn et al. (2008) and Honigfeld et al. (2012) show real-world examples. Men with extra X or Y chromosomes score higher on autism-trait tests. The gene findings and the chromosome studies agree: change the dose of sex-linked biology and you change social behavior.
Why it matters
You cannot change genes, but you can use the hormone clue. Watch for clients who seem over-aroused in social settings; they may benefit from sensory breaks or anxiety tools. When you write reports, note any family history of hormone or chromosome differences. Share the finding with medical teammates—it may guide further work-up.
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02At a glance
03Original abstract
Genetic studies of autism spectrum conditions (ASC) have mostly focused on the "low functioning" severe clinical subgroup, treating it as a rare disorder. However, ASC is now thought to be relatively common ( approximately 1%), and representing one end of a quasi-normal distribution of autistic traits in the general population. Here we report a study of common genetic variation in candidate genes associated with autistic traits and Asperger syndrome (AS). We tested single nucleotide polymorphisms in 68 candidate genes in three functional groups (sex steroid synthesis/transport, neural connectivity, and social-emotional responsivity) in two experiments. These were (a) an association study of relevant behavioral traits (the Empathy Quotient (EQ), the Autism Spectrum Quotient (AQ)) in a population sample (n=349); and (b) a case-control association study on a sample of people with AS, a "high-functioning" subgroup of ASC (n=174). 27 genes showed a nominally significant association with autistic traits and/or ASC diagnosis. Of these, 19 genes showed nominally significant association with AQ/EQ. In the sex steroid group, this included ESR2 and CYP11B1. In the neural connectivity group, this included HOXA1, NTRK1, and NLGN4X. In the socio-responsivity behavior group, this included MAOB, AVPR1B, and WFS1. Fourteen genes showed nominally significant association with AS. In the sex steroid group, this included CYP17A1 and CYP19A1. In the socio-emotional behavior group, this included OXT. Six genes were nominally associated in both experiments, providing a partial replication. Eleven genes survived family wise error rate (FWER) correction using permutations across both experiments, which is greater than would be expected by chance. CYP11B1 and NTRK1 emerged as significantly associated genes in both experiments, after FWER correction (P<0.05). This is the first candidate-gene association study of AS and of autistic traits. The most promising candidate genes require independent replication and fine mapping.
Autism research : official journal of the International Society for Autism Research, 2009 · doi:10.1002/aur.80