Human Gene Module / Chromosome 14 / ARHGAP5

ARHGAP5Rho GTPase activating protein 5

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
5 / 6
Rare Variants / Common Variants
10 / 0
Aliases
ARHGAP5, GFI2,  RhoGAP5,  p190-B,  p190BRhoGAP
Associated Syndromes
-
Chromosome Band
14q12
Associated Disorders
-
Relevance to Autism

Two de novo variants in the ARHGAP5 gene (one loss-of-function variant, one missense variant predicted in silico to be damaging) were identified in ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as a novel cohort of 262 Japanese ASD trios, in Takata et al., 2018 identified ARHGAP5 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

Molecular Function

Rho GTPase activating protein 5 negatively regulates RHO GTPases, a family which may mediate cytoskeleton changes by stimulating the hydrolysis of bound GTP.

SFARI Genomic Platforms
Reports related to ARHGAP5 (6 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support Synaptic, transcriptional and chromatin genes disrupted in autism De Rubeis S , et al. (2014) Yes -
2 Primary The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
3 Recent Recommendation Integrative Analyses of De Novo Mutations Provide Deeper Biological Insights into Autism Spectrum Disorder Takata A , et al. (2018) Yes -
4 Support De Novo Sequence and Copy Number Variants Are Strongly Associated with Tourette Disorder and Implicate Cell Polarity in Pathogenesis Wang S , et al. (2018) No -
5 Support - Alonso-Gonzalez A et al. (2021) Yes -
6 Support - Zhou X et al. (2022) Yes -
Rare Variants   (10)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.3865+5G>A - splice_site_variant De novo - - 35982159 Zhou X et al. (2022)
c.85A>G p.Asn29Asp missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.1717G>A p.Ala573Thr missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.1748G>A p.Arg583His missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.2482C>T p.Arg828Ter stop_gained De novo - Multiplex 30257206 Wang S , et al. (2018)
c.983A>C p.Gln328Pro missense_variant De novo - - 25363760 De Rubeis S , et al. (2014)
c.1462G>T p.Glu488Ter stop_gained De novo - Simplex 25363768 Iossifov I et al. (2014)
c.2101G>C p.Ala701Pro missense_variant De novo - Multiplex 35982159 Zhou X et al. (2022)
c.1441G>T p.Glu481Ter stop_gained De novo - Simplex 33431980 Alonso-Gonzalez A et al. (2021)
c.3559_3562del p.Lys1187GlufsTer35 frameshift_variant De novo - - 35982159 Zhou X et al. (2022)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

Two de novo variants in the ARHGAP5 gene (one loss-of-function variant, one missense variant predicted in silico to be damaging) were identified in ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as a novel cohort of 262 Japanese ASD trios, in Takata et al., 2018 identified ARHGAP5 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

Score Delta: Score remained at 2

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.

4/1/2022
3
icon
2

Decreased from 3 to 2

Description

Two de novo variants in the ARHGAP5 gene (one loss-of-function variant, one missense variant predicted in silico to be damaging) were identified in ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as a novel cohort of 262 Japanese ASD trios, in Takata et al., 2018 identified ARHGAP5 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

1/1/2021
3
icon
3

Decreased from 3 to 3

Description

Two de novo variants in the ARHGAP5 gene (one loss-of-function variant, one missense variant predicted in silico to be damaging) were identified in ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as a novel cohort of 262 Japanese ASD trios, in Takata et al., 2018 identified ARHGAP5 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

10/1/2019
4
icon
3

Decreased from 4 to 3

New Scoring Scheme
Description

Two de novo variants in the ARHGAP5 gene (one loss-of-function variant, one missense variant predicted in silico to be damaging) were identified in ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as a novel cohort of 262 Japanese ASD trios, in Takata et al., 2018 identified ARHGAP5 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

Reports Added
[New Scoring Scheme]
10/1/2018
4
icon
4

Decreased from 4 to 4

Description

Two de novo variants in the ARHGAP5 gene (one loss-of-function variant, one missense variant predicted in silico to be damaging) were identified in ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as a novel cohort of 262 Japanese ASD trios, in Takata et al., 2018 identified ARHGAP5 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

7/1/2018
icon
4

Increased from to 4

Description

Two de novo variants in the ARHGAP5 gene (one loss-of-function variant, one missense variant predicted in silico to be damaging) were identified in ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as a novel cohort of 262 Japanese ASD trios, in Takata et al., 2018 identified ARHGAP5 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

Krishnan Probability Score

Score 0.56822658606677

Ranking 1129/25841 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 0.98705369807694

Ranking 1924/18225 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 0.945

Ranking 88/239 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 0.14357136224992

Ranking 83/18665 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 0.10426978149612

Ranking 6039/20870 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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