Human Gene Module / Chromosome 1 / CASZ1

CASZ1castor zinc finger 1

Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
1 / 4
Rare Variants / Common Variants
3 / 0
Aliases
CASZ1, CAS11,  CST,  SRG,  ZNF693,  dJ734G22.1
Associated Syndromes
-
Genetic Category
Rare Single Gene Mutation
Chromosome Band
1p36.22
Associated Disorders
-
Relevance to Autism

De novo likely gene-disruptive (LGD) variants in the CASZ1 gene have been identified in two ASD-affected siblings from a multiplex family (Yuen et al., 2017), one proband with intellectual disability (Lelieveld et al., 2016), and one proband with an unspecified developmental disorder (Deciphering Developmental Disorders Study 2017). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified CASZ1 as a gene with an excess of LGD variants (false discovery rata < 5%, count >1) (Coe et al., 2018).

Molecular Function

The protein encoded by this gene is a zinc finger transcription factor and may function as a tumor suppressor.

Reports related to CASZ1 (4 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support Meta-analysis of 2,104 trios provides support for 10 new genes for intellectual disability. Lelieveld SH , et al. (2016) No -
2 Support Prevalence and architecture of de novo mutations in developmental disorders. Deciphering Developmental Disorders Study (2017) No -
3 Primary Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder. C Yuen RK , et al. (2017) Yes -
4 Recent Recommendation Neurodevelopmental disease genes implicated by de novo mutation and copy number variation morbidity. Coe BP , et al. (2018) No -
Rare Variants   (3)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.2689C>T p.Gln897Ter stop_gained De novo - - 28135719 Deciphering Developmental Disorders Study (2017)
c.4612del p.Gly1538AlafsTer5 frameshift_variant De novo - Simplex 27479843 Lelieveld SH , et al. (2016)
c.4403_4404insT p.Cys1469LeufsTer358 frameshift_variant De novo - Multiplex 28263302 C Yuen RK , et al. (2017)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

De novo likely gene-disruptive (LGD) variants in the CASZ1 gene have been identified in two ASD-affected siblings from a multiplex family (Yuen et al., 2017), one proband with intellectual disability (Lelieveld et al., 2016), and one proband with an unspecified developmental disorder (Deciphering Developmental Disorders Study 2017). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified CASZ1 as a gene with an excess of LGD variants (false discovery rata < 5%, count >1) (Coe et al., 2018).

Score Delta: Score remained at 3

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.

1/1/2019
icon
3

Increased from to 3

Description

De novo likely gene-disruptive (LGD) variants in the CASZ1 gene have been identified in two ASD-affected siblings from a multiplex family (Yuen et al., 2017), one proband with intellectual disability (Lelieveld et al., 2016), and one proband with an unspecified developmental disorder (Deciphering Developmental Disorders Study 2017). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified CASZ1 as a gene with an excess of LGD variants (false discovery rata < 5%, count >1) (Coe et al., 2018).

Krishnan Probability Score

Score 0.4085263468816

Ranking 22930/25841 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 0.99993847632778

Ranking 607/18225 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 0.9465492065483

Ranking 16915/18665 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 -0.00584111679281

Ranking 8867/20870 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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