Autism: genes and variants

Autism is linked to 11 analyzed proteins (NLGN3, MECP2, CHD8, DRD2, HTR2A, HTR2C, SHANK1, SHANK2 and 3 more). 8 DNA variants are known to cause it; 85 more are uncertain, and 0 of those already look disease-causing on computable evidence.

Last updated 2026-09-30. Research information, not medical advice.

Also known as: Autism, susceptibility to, 15; Autism, susceptibility to, 17; Autism, susceptibility to, X-linked 1; Autism, susceptibility to, X-linked 2; Autism, susceptibility to, X-linked 3

Genes linked to Autism

Weakly linked (only a few uncertain records): ADNP, GRIN1, LAMB3 and NRXN2.

Known disease-causing variants in Autism

VariantPositionProtein partClinical label
MECP2 L138F138MBDDisease-causing (★)
NLGN3 G208R208ExtracellularDisease-causing (★)
NLGN3 L741R741CytoplasmicDisease-causing (★)
NLGN3 G188R188ExtracellularDisease-causing (★)
NLGN3 M558V558ExtracellularDisease-causing
CDKL5 I876V876Disease-causing
NLGN3 V204A204ExtracellularDisease-causing
SHANK2 G643R643PDZDisease-causing

Same protein, different disease

Diseases related to Autism

Frequently asked questions

Which genes are linked to Autism?

In CATVariant, Autism is linked to 11 analyzed proteins: NLGN3 (Neuroligin-3), MECP2 (Methyl-CpG-binding protein 2), CHD8 (ATP-dependent chromatin remodeler CHD8), DRD2 (D(2) dopamine receptor), HTR2A (5-hydroxytryptamine receptor 2A), HTR2C (5-hydroxytryptamine receptor 2C) and 5 more.

How many genetic variants are linked to Autism?

99 variants: 8 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 85 are of uncertain significance or have conflicting reports.

Which uncertain variants in Autism look disease-causing?

None of the uncertain variants currently reaches the likely-pathogenic range on computable evidence alone.

About this data

Variant–disease links come from ClinVar, Open Targets and UniProt, pooled from the latest public CATVariant analysis of each human protein. Evidence scores use the ACMG/AMP Bayesian points scale with computable criteria only (position among known disease variants, rarity in gnomAD, calibrated predictors, deep mutational scanning); there is no family or patient data, so they prioritise variants for expert review and never classify them.

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