Human Gene Module / Chromosome 7 / DGKI

DGKIdiacylglycerol kinase iota

SFARI Gene Score
3
Suggestive Evidence Criteria 3.1
Autism Reports / Total Reports
4 / 5
Rare Variants / Common Variants
4 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
7q33
Associated Disorders
-
Relevance to Autism

A maternally-inherited frameshift variant in the DGKI gene was observed in two of three ASD-affected siblings from a multiplex family from the iHART cohort (Ruzzo et al., 2019), while de novo missense variants that were predicted to be damaging were identified in this gene in two ASD probands (Satterstrom et al., 2020; More et al., 2023). This gene has previously been reported to have a possible association with susceptibility to dyslexia in Finnish and German populations (Matsson et al., 2011).

Molecular Function

This gene is a member of the type IV diacylglycerol kinase subfamily. Diacylglycerol kinases regulate the intracellular concentration of diacylglycerol through its phosphorylation, producing phosphatidic acid. The specific role of the enzyme encoded by this gene is undetermined, however, it may play a crucial role in the production of phosphatidic acid in the retina or in recessive forms of retinal degeneration.

External Links
Gene CardOpen Targets PlatformgnomAD browserPubMed
Human
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SFARI Genomic Platforms
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Reports related to DGKI (5 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Positive Association - Matsson H et al. (2011) No -
2 Primary Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks Ruzzo EK , et al. (2019) Yes -
3 Support Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism Satterstrom FK et al. (2020) Yes -
4 Support - More RP et al. (2023) Yes -
5 Support - Soo-Whee Kim et al. (2024) Yes -
Rare Variants   (4)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.2572C>T p.Pro858Ser missense_variant De novo - - 39334436 Soo-Whee Kim et al. (2024)
c.224G>T p.Gly75Val missense_variant De novo - Multiplex 36702863 More RP et al. (2023)
c.3016C>T p.Leu1006%3D missense_variant De novo - - 31981491 Satterstrom FK et al. (2020)
c.2285_2286insGT p.Cys762TrpfsTer11 frameshift_variant Familial Maternal Multiplex 31398340 Ruzzo EK , et al. (2019)
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.

4/1/2023
icon
3

Increased from to 3

Krishnan Probability Score

Score 0.57120635648313

Ranking 807/25841 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 0.73801617179664

Ranking 4279/18225 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 0.94911921200864

Ranking 17961/18665 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 0.32497638011321

Ranking 2360/20870 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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