Human Gene Module / Chromosome X / PJA1

PJA1praja ring finger ubiquitin ligase 1

SFARI Gene Score
3S
Suggestive Evidence, Syndromic Criteria 3.1, Syndromic
Autism Reports / Total Reports
0 / 1
Rare Variants / Common Variants
5 / 0
Aliases
PJA1, PRAJA1,  RNF70
Associated Syndromes
-
Chromosome Band
Xq13.1
Associated Disorders
ASD, EPS
Relevance to Autism

A recurrent maternally-inherited missense variant in the PJA1 gene (p.Arg376Cys) that was experimentally shown to result in reduced protein levels was identified in seven Japanese male patients from five unrelated families presenting with neurodevelopmental disorders and trigonocephaly in Suzuki et al., 2020; four of these patients were diagnosed with autism spectrum disorder, while two others presented with autistic traits.

Molecular Function

This gene encodes an enzyme that has E2-dependent E3 ubiquitin-protein ligase activity. This enzyme belongs to a class of ubiquitin ligases that include a RING finger motif, and it can interact with the E2 ubiquitin-conjugating enzyme UbcH5B. This gene is located in an area of chromosome X where several X-linked cognitive disability disorders have been associated, and it has also been found as part of a contiguous gene deletion associated with craniofrontonasal syndrome, though a direct link to any disorder has yet to be demonstrated.

SFARI Genomic Platforms
Reports related to PJA1 (1 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Primary A recurrent PJA1 variant in trigonocephaly and neurodevelopmental disorders Suzuki T et al. (2020) No ASD or autistic features, epilepsy/seizures
Rare Variants   (5)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.623C>T p.Ser208Phe missense_variant Familial Paternal Simplex 32530565 Suzuki T et al. (2020)
c.961C>T p.Arg321Cys missense_variant Familial Maternal Simplex 32530565 Suzuki T et al. (2020)
c.1126C>T p.Arg376Cys missense_variant Familial Maternal Simplex 32530565 Suzuki T et al. (2020)
c.1126C>T p.Arg376Cys missense_variant Familial Maternal Multiplex 32530565 Suzuki T et al. (2020)
c.1457C>A p.Pro486His missense_variant Familial Paternal Multiplex 32530565 Suzuki T et al. (2020)
Common Variants  

No common variants reported.

SFARI Gene score
3S

Suggestive Evidence, Syndromic

Score Delta: Score remained at 3S

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.

The syndromic category includes mutations that are associated with a substantial degree of increased risk and consistently linked to additional characteristics not required for an ASD diagnosis. If there is independent evidence implicating a gene in idiopathic ASD, it will be listed as "#S" (e.g., 2S, 3S, etc.). If there is no such independent evidence, the gene will be listed simply as "S."

4/1/2022
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3

Increased from to 3

Krishnan Probability Score

Score 0.49595724047946

Ranking 2734/25841 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 0.89404263479369

Ranking 3274/18225 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 0.93547871030674

Ranking 12890/18665 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 0.40382261477649

Ranking 1416/20870 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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