Human Gene Module / Chromosome 1 / AGO4

AGO4argonaute RISC catalytic component 4

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
3 / 5
Rare Variants / Common Variants
5 / 0
Aliases
AGO4, EIF2C4
Associated Syndromes
-
Chromosome Band
1p34.3
Associated Disorders
-
Relevance to Autism

De novo missense variants in the AGO4 gene have been identified in two ASD probands (De Rubeis et al., 2014). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified AGO4 as a gene with an excess of missense variants (false discovery rata < 5%, count >1); AGO4 was similarly identified as a gene with an excess of de novo missense variants (false discovery rata < 5%, count >1) following analysis of 5,624 cases with a primary diagnosis of ASD (Coe et al., 2018).

Molecular Function

This gene encodes a member of the Argonaute family of proteins which contain PAZ and PIWI domains and play an integral role in RNA interference and short-interfering-RNA-mediated gene silencing.

External Links
Gene CardOpen Targets PlatformgnomAD browserPubMed
Human
Entrez GeneOMIMUniProtHumanBaseVariCarta
SFARI Genomic Platforms
GPF browser SFARI genome browser
Reports related to AGO4 (5 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Primary Synaptic, transcriptional and chromatin genes disrupted in autism De Rubeis S , et al. (2014) Yes -
2 Recent Recommendation Neurodevelopmental disease genes implicated by de novo mutation and copy number variation morbidity Coe BP , et al. (2018) No -
3 Support Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks Ruzzo EK , et al. (2019) Yes -
4 Support - Zhou X et al. (2022) Yes -
5 Support - et al. () No -
Rare Variants   (5)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.760+1G>A - splice_site_variant De novo - Simplex 37788244 et al. ()
c.733C>T p.Arg245Cys missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.167G>T p.Arg56Leu missense_variant De novo - - 25363760 De Rubeis S , et al. (2014)
c.1797G>T p.Lys599Asn missense_variant De novo - - 25363760 De Rubeis S , et al. (2014)
c.808C>T p.Arg270Ter stop_gained Familial Paternal Multiplex 31398340 Ruzzo EK , et al. (2019)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

De novo missense variants in the AGO4 gene have been identified in two ASD probands (De Rubeis et al., 2014). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified AGO4 as a gene with an excess of missense variants (false discovery rata < 5%, count >1); AGO4 was similarly identified as a gene with an excess of de novo missense variants (false discovery rata < 5%, count >1) following analysis of 5,624 cases with a primary diagnosis of ASD (Coe et al., 2018).

Score Delta: Score remained at 2

criteria met
See SFARI Gene'scoring criteria
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.

10/1/2019
3
icon
2

Decreased from 3 to 2

New Scoring Scheme
Description

De novo missense variants in the AGO4 gene have been identified in two ASD probands (De Rubeis et al., 2014). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified AGO4 as a gene with an excess of missense variants (false discovery rata < 5%, count >1); AGO4 was similarly identified as a gene with an excess of de novo missense variants (false discovery rata < 5%, count >1) following analysis of 5,624 cases with a primary diagnosis of ASD (Coe et al., 2018).

Reports Added
[New Scoring Scheme]
7/1/2019
3
icon
3

Decreased from 3 to 3

Description

De novo missense variants in the AGO4 gene have been identified in two ASD probands (De Rubeis et al., 2014). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified AGO4 as a gene with an excess of missense variants (false discovery rata < 5%, count >1); AGO4 was similarly identified as a gene with an excess of de novo missense variants (false discovery rata < 5%, count >1) following analysis of 5,624 cases with a primary diagnosis of ASD (Coe et al., 2018).

Reports Added
[Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks.2019]
1/1/2019
icon
3

Increased from to 3

Description

De novo missense variants in the AGO4 gene have been identified in two ASD probands (De Rubeis et al., 2014). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified AGO4 as a gene with an excess of missense variants (false discovery rata < 5%, count >1); AGO4 was similarly identified as a gene with an excess of de novo missense variants (false discovery rata < 5%, count >1) following analysis of 5,624 cases with a primary diagnosis of ASD (Coe et al., 2018).

Krishnan Probability Score

Score 0.4709626659492

Ranking 8880/25841 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.
Original Source
ExAC Score

Score 0.99004381211104

Ranking 1801/18225 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
Original Source
Iossifov Probability Score

Score 0.801

Ranking 238/239 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
Original Source
Sanders TADA Score

Score 0.93833279372734

Ranking 13827/18665 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).
Original Source
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