Human Gene Module / Chromosome 1 / IQGAP3

IQGAP3IQ motif containing GTPase activating protein 3

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
6 / 6
Rare Variants / Common Variants
12 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
1q22
Associated Disorders
-
Relevance to Autism

Two de novo missense variants in the IQGAP3 gene were identified in ASD probands from the Simons Simplex Collection in Iossifov et al., 2014; one of these missense variants was predicted in silico to be pathogenic. IQGAP3 was identified in Stessman et al. as one of eight genes showing a bias for autism versus intellectual disability (two one-tailed binomial tests, P<0.025 for either ASD or ID/DD cases) in a cohort of NDD cases.

Molecular Function

This gene encodes a protein of unknown function.

SFARI Genomic Platforms
Reports related to IQGAP3 (6 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 Primary Targeted sequencing identifies 91 neurodevelopmental-disorder risk genes with autism and developmental-disability biases Stessman HA , et al. (2017) Yes -
3 Support Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model Guo H , et al. (2018) Yes -
4 Support Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks Ruzzo EK , et al. (2019) Yes -
5 Support - Zhou X et al. (2022) Yes -
6 Support - Cirnigliaro M et al. (2023) Yes -
Rare Variants   (12)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.644A>G p.Asn215Ser missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.4336C>A p.Arg1446%3D synonymous_variant De novo - - 35982159 Zhou X et al. (2022)
c.845C>A p.Ala282Asp missense_variant De novo - Multiplex 35982159 Zhou X et al. (2022)
c.259G>A p.Asp87Asn missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.3763C>G p.Gln1255Glu missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.658C>T p.Arg220Ter stop_gained Familial Paternal Multiplex 31398340 Ruzzo EK , et al. (2019)
c.2438G>A p.Arg813His missense_variant Familial Maternal Simplex 30564305 Guo H , et al. (2018)
c.2170C>T p.Gln724Ter stop_gained Familial Paternal Multiplex 31398340 Ruzzo EK , et al. (2019)
c.3422C>T p.Pro1141Leu missense_variant Familial Paternal Simplex 30564305 Guo H , et al. (2018)
c.3422+1G>A - splice_site_variant Familial Paternal Multiplex 37506195 Cirnigliaro M et al. (2023)
c.3280del p.Ser1094AlafsTer13 frameshift_variant Familial Maternal Simplex 30564305 Guo H , et al. (2018)
c.3422+1G>A - splice_site_variant Familial Maternal Multiplex (monozygotic twins) 37506195 Cirnigliaro M et al. (2023)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

Two de novo missense variants in the IQGAP3 gene were identified in ASD probands from the Simons Simplex Collection in Iossifov et al., 2014; one of these missense variants was predicted in silico to be pathogenic. IQGAP3 was identified in Stessman et al. as one of eight genes showing a bias for autism versus intellectual disability (two one-tailed binomial tests, P<0.025 for either ASD or ID/DD cases) in a cohort of NDD cases.

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 missense variants in the IQGAP3 gene were identified in ASD probands from the Simons Simplex Collection in Iossifov et al., 2014; one of these missense variants was predicted in silico to be pathogenic. IQGAP3 was identified in Stessman et al. as one of eight genes showing a bias for autism versus intellectual disability (two one-tailed binomial tests, P<0.025 for either ASD or ID/DD cases) in a cohort of NDD cases.

10/1/2019
4
icon
3

Decreased from 4 to 3

New Scoring Scheme
Description

Two de novo missense variants in the IQGAP3 gene were identified in ASD probands from the Simons Simplex Collection in Iossifov et al., 2014; one of these missense variants was predicted in silico to be pathogenic. IQGAP3 was identified in Stessman et al. as one of eight genes showing a bias for autism versus intellectual disability (two one-tailed binomial tests, P<0.025 for either ASD or ID/DD cases) in a cohort of NDD cases.

Reports Added
[New Scoring Scheme]
7/1/2019
4
icon
4

Decreased from 4 to 4

Description

Two de novo missense variants in the IQGAP3 gene were identified in ASD probands from the Simons Simplex Collection in Iossifov et al., 2014; one of these missense variants was predicted in silico to be pathogenic. IQGAP3 was identified in Stessman et al. as one of eight genes showing a bias for autism versus intellectual disability (two one-tailed binomial tests, P<0.025 for either ASD or ID/DD cases) in a cohort of NDD cases.

1/1/2019
4
icon
4

Decreased from 4 to 4

Description

Two de novo missense variants in the IQGAP3 gene were identified in ASD probands from the Simons Simplex Collection in Iossifov et al., 2014; one of these missense variants was predicted in silico to be pathogenic. IQGAP3 was identified in Stessman et al. as one of eight genes showing a bias for autism versus intellectual disability (two one-tailed binomial tests, P<0.025 for either ASD or ID/DD cases) in a cohort of NDD cases.

1/1/2017
icon
4

Increased from to 4

Description

Two de novo missense variants in the IQGAP3 gene were identified in ASD probands from the Simons Simplex Collection in Iossifov et al., 2014; one of these missense variants was predicted in silico to be pathogenic. IQGAP3 was identified in Stessman et al. as one of eight genes showing a bias for autism versus intellectual disability (two one-tailed binomial tests, P<0.025 for either ASD or ID/DD cases) in a cohort of NDD cases.

Krishnan Probability Score

Score 0.44712216675656

Ranking 14020/25841 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 6.4705118606071E-16

Ranking 17741/18225 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 0.94181086069302

Ranking 15071/18665 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 -0.27191183633753

Ranking 16764/20870 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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