VEZF1vascular endothelial zinc finger 1
Autism Reports / Total Reports
2 / 3Rare Variants / Common Variants
2 / 0Chromosome Band
17q22Associated Disorders
-Genetic Category
Rare Single Gene MutationRelevance to Autism
A de novo missense variant that was predicted to be damaging (defined as MPC 2) was identified in the VEZF1 gene in an ASD proband from the Autism Sequencing Consortium (De Rubeis et al., 2014), while three protein-truncating variants in this gene were observed in case samples from the Danish iPSYCH study (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 VEZF1 as a candidate gene with a false discovery rate (FDR) between 0.01 and 0.05 (0.01 < FDR 0.05).
Molecular Function
Possible transcription factor. Specifically binds to the CT/GC-rich region of the interleukin-3 promoter and mediates tax transactivation of IL-3.
External Links
SFARI Genomic Platforms
Reports related to VEZF1 (3 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 | Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism | Satterstrom FK et al. (2020) | Yes | - |
| 3 | Support | Large-scale targeted sequencing identifies risk genes for neurodevelopmental disorders | Wang T et al. (2020) | No | - |
Rare Variants (2)
| Status | Allele Change | Residue Change | Variant Type | Inheritance Pattern | Parental Transmission | Family Type | PubMed ID | Author, Year |
|---|---|---|---|---|---|---|---|---|
| c.759_771del | p.His253GlnfsTer40 | frameshift_variant | Unknown | - | - | 33004838 | Wang T et al. (2020) | |
| c.626A>C | p.Gln209Pro | missense_variant | De novo | - | Simplex | 25363760 | De Rubeis S , et al. (2014) |
Common Variants
No common variants reported.
SFARI Gene score
1
High Confidence
Score Delta: Score remained at 1
criteria met
See SFARI Gene'scoring criteriaWe 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
1
Increased from to 1
Krishnan Probability Score
Score 0.60809415723528
Ranking 294/25841 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 0.9430318025184
Ranking 2798/18225 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 0.70004691771163
Ranking 1157/18665 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 -0.11845241589243
Ranking 13072/20870 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.