Human Gene Module / Chromosome 12 / RFX4

RFX4regulatory factor X4

SFARI Gene Score
3S
Suggestive Evidence, Syndromic Criteria 3.1, Syndromic
Autism Reports / Total Reports
3 / 3
Rare Variants / Common Variants
5 / 0
Aliases
RFX4, NYD-SP10
Associated Syndromes
-
Chromosome Band
12q23.3
Associated Disorders
EPS
Relevance to Autism

Genetic and phenotypic characterization of individuals with potentially deleterious variants in three brain-expressed members of the RFX family (RFX3, RFX4, or RFX7) in Harris et al., 2021 identified six individuals from four families with variants in the RFX4 gene; all six individuals presented with global developmental delay/intellectual disability, and five additionally presented with autism spectrum disorder. A de novo missense variant in the RFX4 gene had previously been identified in an ASD proband from the Autism Sequencing Consortium (De Rubeis et al., 2014).

Molecular Function

This gene is a member of the regulatory factor X gene family, which encodes transcription factors that contain a highly-conserved winged helix DNA binding domain. The protein encoded by this gene is structurally related to regulatory factors X1, X2, X3, and X5. It has been shown to interact with itself as well as with regulatory factors X2 and X3, but it does not interact with regulatory factor X1. The transcription factor encoded by the RFX4 gene plays a role in early brain development.

SFARI Genomic Platforms
Reports related to RFX4 (3 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 - Harris HK et al. (2021) Yes Epilepsy/seizures
3 Support - Gareth Chapman et al. (2024) Yes -
Rare Variants   (5)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.235C>A p.Arg79Ser missense_variant De novo - Simplex 33658631 Harris HK et al. (2021)
c.1084A>G p.Thr362Ala missense_variant De novo - Simplex 33658631 Harris HK et al. (2021)
c.1508G>A p.Arg503Gln missense_variant De novo - Simplex 25363760 De Rubeis S , et al. (2014)
c.1915_1929del p.Tyr639_Ser643del inframe_deletion De novo - Simplex 33658631 Harris HK et al. (2021)
c.740C>T p.Thr247Met missense_variant Familial Both parents Multiplex 33658631 Harris HK et al. (2021)
Common Variants  

No common variants reported.

SFARI Gene score
3S

Suggestive Evidence, Syndromic

Score Delta: Score remained at 3S

3

Suggestive Evidence

See all Category 3 Genes

The literature is replete with relatively small studies of candidate genes, using either common or rare variant approaches, which do not reach the criteria set out for categories 1 and 2. Genes that had two such lines of supporting evidence were placed in category 3, and those with one line of evidence were placed in category 4. Some additional lines of "accessory evidence" (indicated as "acc" in the score cards) could also boost a gene from category 4 to 3.

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."

4/1/2022
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3S

Increased from to 3S

Krishnan Probability Score

Score 0.57043932200952

Ranking 924/25841 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 0.99966275943222

Ranking 861/18225 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 0.93967238931059

Ranking 14293/18665 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 -0.07687232475158

Ranking 11447/20870 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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