Human Gene Module / Chromosome 19 / PPP2R1A

PPP2R1Aprotein phosphatase 2 scaffold subunit Aalpha

SFARI Gene Score
3
Suggestive Evidence Criteria 3.1
Autism Reports / Total Reports
6 / 7
Rare Variants / Common Variants
25 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
19q13.41
Associated Disorders
-
Relevance to Autism

Missense variants in the PPP2R1A gene have been identified in ASD probands from the Autism Sequencing Consortium and, more recently, from a cohort of 75 Turkish patients diagnosed with ASD (Satterstrom et al., 2020; Marques et al., 2022; Fu et al., 2022; Kayhan et al., 2026), while de novo coding-synonymous variants in this gene were previously reported in ASD probands from the MSSNG cohort (Yuen et al., 2017). Lenaerts et al., 2021 described 30 individuals with 16 different PPP2R1A variants presenting with a variable neurodevelopmental disorder characterized by developmental delay with language delay, hypotonia, behavioral problems (including ASD or autistic features in 6 individuals), dysmorphic features, joint hypermobility, and hypoplasia/agenesis of the corpus callosum. Subsequent functional assessment of a subset of disease-associated variants of Lenarets et al., 2021 demonstrated altered PP2A B-type subunit binding, altered C subunit binding, and/or impaired overall PP2A activity, while the ASD-associated p.Ser152Phe variant was shown to cause a reduction in dendritic spine number following expression in hippocampal neurons.

Molecular Function

This gene encodes a constant regulatory subunit of protein phosphatase 2. Protein phosphatase 2 is one of the four major Ser/Thr phosphatases, and it is implicated in the negative control of cell growth and division. It consists of a common heteromeric core enzyme, which is composed of a catalytic subunit and a constant regulatory subunit, that associates with a variety of regulatory subunits. The constant regulatory subunit A serves as a scaffolding molecule to coordinate the assembly of the catalytic subunit and a variable regulatory B subunit. This gene encodes an alpha isoform of the constant regulatory subunit A. Heterozygous variants in this gene are responsible for Houge-Janssens syndrome 2 (OMIM 616362).

SFARI Genomic Platforms
Reports related to PPP2R1A (7 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder C Yuen RK et al. (2017) Yes -
2 Support Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism Satterstrom FK et al. (2020) Yes -
3 Support - Lisa Lenaerts et al. (2021) No ASD, ADHD, epilepsy/seizures
4 Support - Ana Rita Marques et al. (2022) Yes -
5 Support - Fu JM et al. (2022) Yes -
6 Support - Giovanni Spirito et al. (2026) Yes -
7 Primary - Gülsüm Kayhan et al. (2026) Yes -
Rare Variants   (25)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.572A>G p.Glu191Gly missense_variant De novo - - 35982160 Fu JM et al. (2022)
c.96C>G p.Ile32Met missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.421T>A p.Phe141Ile missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.455C>T p.Ser152Phe missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.532A>T p.Thr178Ser missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.533C>A p.Thr178Asn missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.536C>T p.Pro179Leu missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.538A>G p.Met180Val missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.538A>G p.Met180Val missense_variant Unknown - - 33106617 Lisa Lenaerts et al. (2021)
c.539T>A p.Met180Lys missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.539T>C p.Met180Thr missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.539T>G p.Met180Arg missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.544C>T p.Arg182Trp missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.547C>T p.Arg183Trp missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.656C>T p.Ser219Leu missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.658G>A p.Val220Met missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.772C>A p.Arg258Ser missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.773G>A p.Arg258His missense_variant De novo - - 33106617 Lisa Lenaerts et al. (2021)
c.659T>G p.Val220Gly missense_variant De novo - - 31981491 Satterstrom FK et al. (2020)
c.661C>T p.Arg221Trp missense_variant Unknown - - 35327467 Ana Rita Marques et al. (2022)
c.33C>T p.Tyr11= synonymous_variant De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.1525T>C p.Ser509Pro missense_variant Unknown - - 35327467 Ana Rita Marques et al. (2022)
c.1356G>C p.Val452= synonymous_variant De novo - Simplex 28263302 C Yuen RK et al. (2017)
c.740C>G p.Thr247Ser missense_variant Unknown - - 41751633 Gülsüm Kayhan et al. (2026)
c.1375C>T p.Arg459Cys missense_variant De novo - Simplex 41629344 Giovanni Spirito et al. (2026)
Common Variants  

No common variants reported.

SFARI Gene score
3

Suggestive Evidence

3

Suggestive Evidence

See all Category 3 Genes

The literature is replete with relatively small studies of candidate genes, using either common or rare variant approaches, which do not reach the criteria set out for categories 1 and 2. Genes that had two such lines of supporting evidence were placed in category 3, and those with one line of evidence were placed in category 4. Some additional lines of "accessory evidence" (indicated as "acc" in the score cards) could also boost a gene from category 4 to 3.

4/1/2026
3

Initial score established: 3

Krishnan Probability Score

Score 0.57091362648016

Ranking 852/25841 scored genes


[Show Scoring Methodology]
Krishnan and colleagues generated probability scores genome-wide by using a machine learning approach on a human brain-specific gene network. The method was first presented in Nat Neurosci 19, 1454-1462 (2016), and scores for more than 25,000 RefSeq genes can be accessed in column G of supplementary table 3 (see: http://www.nature.com/neuro/journal/v19/n11/extref/nn.4353-S5.xlsx). A searchable browser, with the ability to view networks of associated ASD risk genes, can be found at asd.princeton.edu.
ExAC Score

Score 0.71960375288992

Ranking 4380/18225 scored genes


[Show Scoring Methodology]
The Exome Aggregation Consortium (ExAC) is a summary database of 60,706 exomes that has been widely used to estimate 'constraint' on mutation for individual genes. It was introduced by Lek et al. Nature 536, 285-291 (2016), and the ExAC browser can be found at exac.broadinstitute.org. The pLI score was developed as measure of intolerance to loss-of- function mutation. A pLI > 0.9 is generally viewed as highly constrained, and thus any loss-of- function mutations in autism in such a gene would be more likely to confer risk. For a full list of pLI scores see: ftp://ftp.broadinstitute.org/pub/ExAC_release/release0.3.1/functional_gene_constraint/fordist_cle aned_exac_nonTCGA_z_pli_rec_null_data.txt
Sanders TADA Score

Score 0.93437081484241

Ranking 12548/18665 scored genes


[Show Scoring Methodology]
The TADA score ('Transmission and De novo Association') was introduced by He et al. PLoS Genet 9(8):e1003671 (2013), and is a statistic that integrates evidence from both de novo and transmitted mutations. It forms the basis for the claim of 65 individual genes being strongly associated with autism risk at a false discovery rate of 0.1 (Sanders et al. Neuron 87, 1215-1233 (2015)). The calculated TADA score for 18,665 RefSeq genes can be found in column P of Supplementary Table 6 in the Sanders et al. paper (the column headed 'tadaFdrAscSscExomeSscAgpSmallDel'), which represents a combined analysis of exome data and small de novo deletions (see www.cell.com/cms/attachment/2038545319/2052606711/mmc7.xlsx).
Zhang D Score

Score 0.26955230194313

Ranking 3200/20870 scored genes


[Show Scoring Methodology]
The DAMAGES score (disease-associated mutation analysis using gene expression signatures), or D score, was developed to combine evidence from de novo loss-of- function mutation with evidence from cell-type- specific gene expression in the mouse brain (specifically translational profiles of 24 specific mouse CNS cell types isolated from 6 different brain regions). Genes with positive D scores are more likely to be associated with autism risk, with higher-confidence genes having higher D scores. This statistic was first presented by Zhang & Shen (Hum Mutat 38, 204- 215 (2017), and D scores for more than 20,000 RefSeq genes can be found in column M in supplementary table 2 from that paper.
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