Human Gene Module / Chromosome 6 / MED23

MED23mediator complex subunit 23

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
3 / 4
Rare Variants / Common Variants
4 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
6q23.2
Associated Disorders
-
Relevance to Autism

MED23 was identified as an ASD candidate gene based on having a false discovery rate (FDR) < 0.001 following joint analysis of protein-truncating variants, missense variants, and copy number variants in a cohort of 63,237 individuals in Fu et al., 2022; among the MED23 variants used in this analysis were three de novo missense variants, one of which had a MPC score greater than 2.

Molecular Function

The activation of gene transcription is a multistep process that is triggered by factors that recognize transcriptional enhancer sites in DNA. These factors work with co-activators to direct transcriptional initiation by the RNA polymerase II apparatus. The protein encoded by this gene is a subunit of the CRSP (cofactor required for SP1 activation) complex, which, along with TFIID, is required for efficient activation by SP1. This protein is also a component of other multisubunit complexes e.g. thyroid hormone receptor-(TR-) associated proteins which interact with TR and facilitate TR function on DNA templates in conjunction with initiation factors and cofactors. This protein also acts as a metastasis suppressor. Biallelic variants in MED23 are responsible for autosomal recessive intellectual developmental disorder-18 with or without epilepsy (MRT18; OMIM 614249), an autosomal recessive disorder characterized by impaired intellectual development with or without epilepsy.

External Links
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SFARI Genomic Platforms
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Reports related to MED23 (4 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
2 Primary - Fu JM et al. (2022) Yes -
3 Support - Yang Y et al. (2023) No -
4 Support - Cirnigliaro M et al. (2023) Yes -
Rare Variants   (4)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.1235C>G p.Pro412Arg missense_variant De novo - - 35982160 Fu JM et al. (2022)
c.1407G>T p.Met469Ile missense_variant De novo - Simplex 35982160 Fu JM et al. (2022)
c.746G>A p.Arg249His missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.3353C>G p.Ser1118Ter stop_gained Familial Maternal Multiplex 37506195 Cirnigliaro M et al. (2023)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

Score Delta: Score remained at 2

criteria met
See SFARI Gene'scoring criteria
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.

10/1/2022
icon
2

Increased from to 2

Krishnan Probability Score

Score 0.40553633007606

Ranking 23167/25841 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 0.15065769120494

Ranking 7384/18225 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 0.94561926402286

Ranking 16542/18665 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 0.51326535881203

Ranking 416/20870 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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