Human Gene Module / Chromosome 16 / MAPK8IP3

MAPK8IP3mitogen-activated protein kinase 8 interacting protein 3

SFARI Gene Score
2S
Strong Candidate, Syndromic Criteria 2.1, Syndromic
Autism Reports / Total Reports
8 / 11
Rare Variants / Common Variants
24 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
16p13.3
Associated Disorders
-
Relevance to Autism

In a report describing 32 individuals with pathogenic or likely pathogenic MAPK8IP3 variants recruited through the Cure MAPK8IP3 Foundation, Sudnawa et al., 2025 found that, in addition to phenotypes frequently associated with neurodevelopmental disorder with or without variable brain abnormalities (NEDBA; OMIM 618443), autism was observed in 31.3% of individuals in this cohort. Previous reports describing individuals with NEDBA found a diagnosis of autism spectrum disorder in 2/13 patients in Platzer et al., 2019 and autistic behavior in 2/5 patients in Iwasawa et al., 2019; both reports also demonstrated functional effects of patient-associated MAPK8IP3 variants in C. elegans and zebrafish. A number of de novo missense variants in the MAPK8IP3 gene have been reported in ASD probands, including a p.Tyr94Cys variant originally identified in an SSC proband that was experimentally shown to result in an adverse locomotion phenotype in C. elegans in Platzer et al., 2019 (Iossifov et al., 2014; Yuen et al., 2017; Zhou et al., 2022; Trost et al., 2022), while a de novo MAPK8IP3 nonsense variant was identified in a Chinese ASD proband in Wang et al., 2023.

Molecular Function

The protein encoded by this gene shares similarity with the product of Drosophila syd gene, required for the functional interaction of kinesin I with axonal cargo. Studies of the similar gene in mouse suggested that this protein may interact with, and regulate the activity of numerous protein kinases of the JNK signaling pathway, and thus function as a scaffold protein in neuronal cells. The C. elegans counterpart of this gene is found to regulate synaptic vesicle transport possibly by integrating JNK signaling and kinesin-1 transport.

SFARI Genomic Platforms
Reports related to MAPK8IP3 (11 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
2 Support Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder C Yuen RK et al. (2017) Yes -
3 Support - Konrad Platzer et al. (2019) No ASD
4 Support - Shinya Iwasawa et al. (2019) No Autistic behavior
5 Support Whole genome sequencing and variant discovery in the ASPIRE autism spectrum disorder cohort Callaghan DB , et al. (2019) Yes -
6 Support Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks Ruzzo EK , et al. (2019) Yes -
7 Support - Zhou X et al. (2022) Yes -
8 Support - Fu JM et al. (2022) Yes -
9 Support - Trost B et al. (2022) Yes -
10 Support - Wang J et al. (2023) Yes -
11 Primary - Khemika K Sudnawa et al. () No ASD
Rare Variants   (24)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.399G>A p.Thr133= synonymous_variant De novo - - 35982160 Fu JM et al. (2022)
c.79G>T p.Glu27Ter stop_gained De novo - - 30612693 Konrad Platzer et al. (2019)
c.741C>A p.Tyr247Ter stop_gained De novo - Simplex 37393044 Wang J et al. (2023)
c.343C>G p.Leu115Val missense_variant De novo - Unknown 35982159 Zhou X et al. (2022)
c.1198G>A p.Gly400Arg missense_variant De novo - - 30612693 Konrad Platzer et al. (2019)
c.1331T>C p.Leu444Pro missense_variant De novo - - 30612693 Konrad Platzer et al. (2019)
c.1574G>A p.Arg525Gln missense_variant De novo - - 30612693 Konrad Platzer et al. (2019)
c.2982C>G p.His994Gln missense_variant De novo - - 30612693 Konrad Platzer et al. (2019)
c.1732C>T p.Arg578Cys missense_variant De novo - - 30945334 Shinya Iwasawa et al. (2019)
c.111C>G p.Tyr37Ter stop_gained De novo - Simplex 30612693 Konrad Platzer et al. (2019)
c.3373G>A p.Val1125Met missense_variant De novo - Simplex 35982159 Zhou X et al. (2022)
c.3883C>T p.Arg1295Cys missense_variant De novo - Unknown 35982159 Zhou X et al. (2022)
c.3436C>T p.Arg1146Cys missense_variant De novo - - 30945334 Shinya Iwasawa et al. (2019)
c.1230C>T p.Arg410= synonymous_variant De novo - Multiplex 35982159 Zhou X et al. (2022)
c.281A>G p.Tyr94Cys missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.1775C>T p.Pro592Leu missense_variant De novo - Simplex 28263302 C Yuen RK et al. (2017)
c.3050C>T p.Ala1017Val missense_variant De novo - Multiplex 36368308 Trost B et al. (2022)
c.3715G>A p.Val1239Met missense_variant De novo - Multiplex 36368308 Trost B et al. (2022)
c.691G>A p.Asp231Asn missense_variant Unknown - Simplex 31038196 Callaghan DB , et al. (2019)
c.1732C>T p.Arg578Cys missense_variant De novo - Simplex 30612693 Konrad Platzer et al. (2019)
c.3436C>T p.Arg1146Cys missense_variant De novo - Simplex 30612693 Konrad Platzer et al. (2019)
c.1732C>T p.Arg578Cys missense_variant De novo - Multiplex 30945334 Shinya Iwasawa et al. (2019)
c.65del p.Gly22AlafsTer3 frameshift_variant De novo - Simplex 30612693 Konrad Platzer et al. (2019)
delGAGACGGAGAGGACGAC p.Gly1298fs frameshift_variant Familial Paternal Multiplex 31398340 Ruzzo EK , et al. (2019)
Common Variants  

No common variants reported.

SFARI Gene score
2S

Strong Candidate, Syndromic

2

Strong Candidate

See all Category 2 Genes

We considered a rigorous statistical comparison between cases and controls, yielding genome-wide statistical significance, with independent replication, to be the strongest possible evidence for a gene. These criteria were relaxed slightly for category 2.

The syndromic category includes mutations that are associated with a substantial degree of increased risk and consistently linked to additional characteristics not required for an ASD diagnosis. If there is independent evidence implicating a gene in idiopathic ASD, it will be listed as "#S" (e.g., 2S, 3S, etc.). If there is no such independent evidence, the gene will be listed simply as "S."

10/1/2025
2S

Initial score established: 2S

Krishnan Probability Score

Score 0.49683708520251

Ranking 2496/25841 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 0.99999997092263

Ranking 161/18225 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
Iossifov Probability Score

Score 0.846

Ranking 195/239 scored genes


[Show Scoring Methodology]
Supplementary dataset S2 in the paper by Iossifov et al. (PNAS 112, E5600-E5607 (2015)) lists 239 genes with a probability of at least 0.8 of being associated with autism risk (column I). This probability metric combines the evidence from de novo likely-gene- disrupting and missense mutations and assesses it against the background mutation rate in unaffected individuals from the University of Washington’s Exome Variant Sequence database (evs.gs.washington.edu/EVS/). The list of probability scores can be found here: www.pnas.org/lookup/suppl/doi:10.1073/pnas.1516376112/- /DCSupplemental/pnas.1516376112.sd02.xlsx
Sanders TADA Score

Score 0.94761075939622

Ranking 17346/18665 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 0.17568581615935

Ranking 4699/20870 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.
CNVs associated with MAPK8IP3(1 CNVs)
16p13.3 73 Deletion-Duplication 103  /  544
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