Human Gene Module / Chromosome 12 / SENP1

SENP1SUMO specific peptidase 1

SFARI Gene Score
3
Suggestive Evidence Criteria 3.1
Autism Reports / Total Reports
3 / 3
Rare Variants / Common Variants
3 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
12q13.11
Associated Disorders
-
Relevance to Autism

Whole-exome sequencing of over 700 Chinese ASD probands in Yang et al., 2021 identified a de novo nonsense variant in the SENP1 gene in a male ASD proband who exhibited typical deficits in social behaviors including communication and interaction (as measured by ADOS and CARS scores) but a largely normal Developmental Quotient (as measured by the Gesell development scale); in the same report, Senp1 +/- mice were found to exhibit core autistic-like symptoms, such as social deficits and repetitive behaviors, but normal learning and memory ability. A rare de novo splice-region variant in SENP1 had previously been observed in an ASD proband from the Autism Sequencing Consortium (Satterstrom et al., 2020).

Molecular Function

This gene encodes a cysteine protease that specifically targets members of the small ubiquitin-like modifier (SUMO) protein family. This protease regulates SUMO pathways by deconjugating sumoylated proteins. This protease also functions to process the precursor SUMO proteins into their mature form.

SFARI Genomic Platforms
Reports related to SENP1 (3 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism Satterstrom FK et al. (2020) Yes -
2 Primary - Yang K et al. (2021) Yes -
3 Support - Wang J et al. (2023) Yes -
Rare Variants   (3)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.151C>T p.Gln51Ter stop_gained De novo - - 34731627 Yang K et al. (2021)
c.151C>T p.Gln51Ter stop_gained De novo - Simplex 37393044 Wang J et al. (2023)
c.-44-4A>G - splice_region_variant De novo - - 31981491 Satterstrom FK et al. (2020)
Common Variants  

No common variants reported.

SFARI Gene score
3

Suggestive Evidence

Animal model

Score Delta: Score remained at 3

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.

4/1/2022
icon
3

Increased from to 3

Description

Animal model

Krishnan Probability Score

Score 0.47923993952059

Ranking 8177/25841 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 0.99389690234868

Ranking 1612/18225 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 0.93887337214287

Ranking 14013/18665 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 0.1063811880779

Ranking 5996/20870 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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