Human Gene Module / Chromosome 7 / IKZF1

IKZF1IKAROS family zinc finger 1

SFARI Gene Score
3
Suggestive Evidence Criteria 3.1
Autism Reports / Total Reports
6 / 6
Rare Variants / Common Variants
9 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
7p12.2
Associated Disorders
-
Relevance to Autism

A number of de novo variants in the IKZF1 gene, including a potentially deleterious de novo missense variant, have been observed in ASD probands (De Rubeis et al., 2014; Turner et al., 2016; Yuen et al., 2016; Yuen et al., 2017; Turner et al., 2017). A de novo non-coding variant that was predicted to target the IKZF1 gene via chromatin interactions was identified in a Korean ASD proband from a simplex family in Kim et al., 2022; functional analysis in human induced pluripotent stem cells derived from the proband and the proband's parents demonstrated that this variant resulted in significantly reduced levels of IKZF1 expression in patient-derived hiPSCs compared to parent-derived hiPSCs.

Molecular Function

This gene encodes a transcription factor that belongs to the family of zinc-finger DNA-binding proteins associated with chromatin remodeling. The expression of this protein is restricted to the fetal and adult hemo-lymphopoietic system, and it functions as a regulator of lymphocyte differentiation.

External Links
Gene CardOpen Targets PlatformgnomAD browserPubMed
Human
Entrez GeneOMIMUniProtHumanBaseVariCarta
SFARI Genomic Platforms
GPF browser SFARI genome browser
Reports related to IKZF1 (6 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 Support Genome Sequencing of Autism-Affected Families Reveals Disruption of Putative Noncoding Regulatory DNA Turner TN et al. (2016) Yes -
3 Support Genome-wide characteristics of de novo mutations in autism Yuen RK et al. (2016) Yes -
4 Support Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder C Yuen RK et al. (2017) Yes -
5 Support Genomic Patterns of De Novo Mutation in Simplex Autism Turner TN et al. (2017) Yes -
6 Recent Recommendation - Kim IB et al. (2022) Yes -
Rare Variants   (9)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.724+809G>A - intron_variant De novo - Simplex 27525107 Yuen RK et al. (2016)
c.161-25718C>T - intron_variant De novo - Simplex 35840799 Kim IB et al. (2022)
c.724+660C>A - intron_variant De novo - Simplex 26749308 Turner TN et al. (2016)
c.40+1216G>A - intron_variant De novo - Simplex 28263302 C Yuen RK et al. (2017)
c.724+809G>A - intron_variant De novo - Simplex 28263302 C Yuen RK et al. (2017)
c.590-980A>G - intron_variant De novo - Simplex 28965761 Turner TN et al. (2017)
c.*3771T>G - 3_prime_UTR_variant De novo - Simplex 28263302 C Yuen RK et al. (2017)
c.590-3597A>G - intron_variant De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.973G>C p.Glu325Gln missense_variant De novo - - 25363760 De Rubeis S , et al. (2014)
Common Variants  

No common variants reported.

SFARI Gene score
3

Suggestive Evidence

Score Delta: Score remained at 3

criteria met
See SFARI Gene'scoring criteria
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.

10/1/2022
icon
3

Increased from to 3

Krishnan Probability Score

Score 0.41448515960614

Ranking 21639/25841 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 0.98575132414598

Ranking 1962/18225 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
Sanders TADA Score

Score 0.76327582112588

Ranking 1695/18665 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
Zhang D Score

Score 0.20229836481896

Ranking 4227/20870 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.
Original Source
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