Human Gene Module / Chromosome 5 / SNCAIP

SNCAIPsynuclein alpha interacting protein

SFARI Gene Score
3
Suggestive Evidence Criteria 3.1
Autism Reports / Total Reports
3 / 3
Rare Variants / Common Variants
5 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
5q23.2
Associated Disorders
-
Relevance to Autism

Transmission And De Novo Association (TADA) analysis of whole-genome sequencing data from a cohort of 4,551 individuals in 1,004 multiplex families having two or more autistic children identified SNCAIP as a novel ASD risk gene with a false discovery rate (FDR) less than 0.1. De novo missense variants in this gene have also been identified in three ASD probands (De Rubeis et al., 2014; Zhou et al., 2022).

Molecular Function

This gene encodes a protein containing several protein-protein interaction domains, including ankyrin-like repeats, a coiled-coil domain, and an ATP/GTP-binding motif. The encoded protein interacts with alpha-synuclein in neuronal tissue and may play a role in the formation of cytoplasmic inclusions and neurodegeneration. A mutation in this gene has been associated with Parkinson's disease.

External Links
Gene CardOpen Targets PlatformgnomAD browserPubMed
Human
Entrez GeneOMIMUniProtHumanBaseVariCarta
SFARI Genomic Platforms
GPF browser SFARI genome browser
Reports related to SNCAIP (3 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support Synaptic, transcriptional and chromatin genes disrupted in autism De Rubeis S , et al. (2014) Yes -
2 Support - Zhou X et al. (2022) Yes -
3 Primary - Cirnigliaro M et al. (2023) Yes -
Rare Variants   (5)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.847A>T p.Thr283Ser missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.2200G>T p.Asp734Tyr missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.2579C>T p.Pro860Leu missense_variant De novo - - 25363760 De Rubeis S , et al. (2014)
c.2830dup p.Leu944ProfsTer16 frameshift_variant De novo - Multiplex 37506195 Cirnigliaro M et al. (2023)
c.2149_2153dup p.Met718IlefsTer2 frameshift_variant Familial Paternal Extended multiplex 37506195 Cirnigliaro M et al. (2023)
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.

7/1/2023
icon
3

Increased from to 3

Krishnan Probability Score

Score 0.57087068504861

Ranking 855/25841 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 0.0003629678049989

Ranking 12394/18225 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 0.78705144042645

Ranking 2001/18665 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 -0.20294342520866

Ranking 15490/20870 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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