Specific genetic disorders and autism: clinical contribution towards their identification.

David and colleagues combed the literature for every known genetic syndrome that can look like plain autism. They built a simple bedside checklist of red flags—things like unusual facial features, birth defects, or sudden regression—that hint a hidden syndrome is driving the autism picture.

The paper is a narrative review, not a new experiment. It gathers earlier case reports and small series into one place so clinicians can spot who needs genetic testing before ordering costly labs.

The team lists more than twenty syndromes—fragile X, Rett, tuberous sclerosis, 22q deletion, and others—that often first come to clinic labeled as "idiopathic autism." They give a flowchart: if you see X, Y, and Z signs, start with chromosomal micro-array, then move to single-gene tests.

Using the checklist first avoids shotgun testing and saves families both money and false alarms.

Lee et al. (2022) tested the same flowchart in Jordan. Only 1 in the kids with autism ever got the recommended micro-array, while non-helpful metabolic tests stayed popular—showing the 2005 advice is still ignored in real life.

Ezedinma et al. (2025) added a cheap 4.5-Hz EEG signature that flags who is most likely to carry MTHFR mutations. The EEG acts like a pre-filter, shrinking the pool who need the full genetic work-up David’s team outlines.

Joosten et al. (2009) seems to push back, arguing twin data let more room for early environmental hits. The clash is mostly words: even that paper agrees genetic screening is still warranted, so the checklist stays useful.

Next time you intake a new client, run the five-minute red-flag sweep: odd ears, heart defect, head size jump, or family history of MR. If two or more pop up, write "consider micro-array" on the referral sheet before you write the behavior plan. You may give the family an answer—and maybe a treatable cause—years earlier.