Human Gene Module / Chromosome 4 / KIAA0232


SFARI Gene Score
High Confidence Criteria 1.1
Autism Reports / Total Reports
3 / 3
Rare Variants / Common Variants
3 / 0
Associated Syndromes
Chromosome Band
Associated Disorders
Relevance to Autism

Two de novo protein-truncating variants in the KIAA0232 gene were identified in ASD probands from the Simons Simplex Collection and the Autism Sequencing Consortium (Iossifov et al., 2014; Satterstrom et al., 2020). TADA analysis of de novo variants from the Simons Simplex Collection and the Autism Sequencing Consortium and protein-truncating variants from iPSYCH in Satterstrom et al., 2020 identified KIAA0232 as a candidate gene with a false discovery rate (FDR) between 0.01 and 0.05 (0.01 < FDR 0.05).

Molecular Function

SFARI Genomic Platforms
Reports related to KIAA0232 (3 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Primary The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
2 Recent recommendation Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism Satterstrom FK et al. (2020) Yes -
3 Support - Yap CX et al. (2021) Yes -
Rare Variants   (3)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
- - copy_number_gain Unknown - - 33568206 Yap CX et al. (2021)
c.352C>T p.Arg118Ter stop_gained De novo NA Simplex 25363768 Iossifov I et al. (2014)
c.3744del p.Gly1249ValfsTer23 frameshift_variant De novo NA Simplex 31981491 Satterstrom FK et al. (2020)
Common Variants  

No common variants reported.

SFARI Gene score

High Confidence

Score Delta: Score remained at 1


High Confidence

See all Category 1 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.


Increased from to 1

Krishnan Probability Score

Score 0.54438965663409

Ranking 1416/25841 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: A searchable browser, with the ability to view networks of associated ASD risk genes, can be found at
ExAC Score

Score 0.99472089633487

Ranking 1539/18225 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 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: aned_exac_nonTCGA_z_pli_rec_null_data.txt
Sanders TADA Score

Score 0.62808133738603

Ranking 808/18665 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
Zhang D Score

Score 0.58280146195537

Ranking 133/20870 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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