Human Gene Module / Chromosome 7 / UBN2

UBN2ubinuclein 2

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
5 / 5
Rare Variants / Common Variants
24 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
7q34
Associated Disorders
-
Relevance to Autism

A de novo loss-of-function (LoF) variant in the UBN2 gene was first identified in an ASD proband from the Simons Simplex Collection (Iossifov et al., 2014). A second de novo LoF variant in this gene was identified by whole genome sequencing in an ASD proband from a multiplex family as part of the MSSNG initiative in Yuen et al., 2017. Based on the discovery of two de novo LoF variants in ASD cases, a probability of LoF intolerance rate (pLI) > 0.9, and a higher-than expected mutation rate (a false discovery rate < 15%), UBN2 was determined to be an ASD candidate gene in Yuen et al., 2017.

Molecular Function

This gene encodes a protein of unknown function.

External Links
Gene CardOpen Targets PlatformgnomAD browserPubMed
Human
Entrez GeneOMIMUniProtHumanBaseVariCarta
SFARI Genomic Platforms
GPF browser SFARI genome browser
Reports related to UBN2 (5 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 Primary The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
3 Recent Recommendation Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder C Yuen RK et al. (2017) Yes -
4 Support Phenotype-to-genotype approach reveals head-circumference-associated genes in an autism spectrum disorder cohort Wu H , et al. (2019) Yes Macrocephaly
5 Support - Zhou X et al. (2022) Yes -
Rare Variants   (24)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.140C>A p.Ala47Asp missense_variant De novo - - 35982159 Zhou X et al. (2022)
G>A p.? splice_site_variant Familial - Simplex 28263302 C Yuen RK et al. (2017)
c.754A>G p.Thr252Ala missense_variant Unknown - - 25363760 De Rubeis S , et al. (2014)
c.1603C>T p.Arg535Cys missense_variant De novo - Simplex 31674007 Wu H , et al. (2019)
c.1589A>G p.Asn530Ser missense_variant Unknown - - 25363760 De Rubeis S , et al. (2014)
c.1870T>C p.Tyr624His missense_variant Unknown - - 25363760 De Rubeis S , et al. (2014)
c.2057C>G p.Pro686Arg missense_variant Unknown - - 25363760 De Rubeis S , et al. (2014)
c.2067G>C p.Lys689Asn missense_variant Unknown - - 25363760 De Rubeis S , et al. (2014)
c.2165C>G p.Ala722Gly missense_variant De novo - - 25363760 De Rubeis S , et al. (2014)
c.2746G>A p.Glu916Lys missense_variant Unknown - - 25363760 De Rubeis S , et al. (2014)
c.1735C>T p.Arg579Ter stop_gained De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.270_284del p.Arg92_Pro96del inframe_deletion De novo - - 35982159 Zhou X et al. (2022)
G>A p.Glu833Lys missense_variant Familial Paternal - 25363760 De Rubeis S , et al. (2014)
c.2960_2963dup p.Pro989LeufsTer15 frameshift_variant De novo - - 35982159 Zhou X et al. (2022)
c.1387C>T p.Leu463Phe missense_variant Familial Maternal - 25363760 De Rubeis S , et al. (2014)
c.1433T>C p.Phe478Ser missense_variant Familial Paternal - 25363760 De Rubeis S , et al. (2014)
c.2056C>T p.Pro686Ser missense_variant Familial Maternal - 25363760 De Rubeis S , et al. (2014)
c.2336A>G p.Asn779Ser missense_variant Familial Maternal - 25363760 De Rubeis S , et al. (2014)
c.2746G>A p.Glu916Lys missense_variant Familial Maternal - 25363760 De Rubeis S , et al. (2014)
c.2884C>T p.Pro962Ser missense_variant Familial Maternal - 25363760 De Rubeis S , et al. (2014)
c.3308A>G p.His1103Arg missense_variant Familial Maternal - 25363760 De Rubeis S , et al. (2014)
c.3189del p.Ser1064LeufsTer34 frameshift_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.2746G>A p.Glu916Lys missense_variant Familial Paternal Multiplex 25363760 De Rubeis S , et al. (2014)
c.3449dup p.Asn1151LysfsTer26 frameshift_variant Familial Maternal - 25363760 De Rubeis S , et al. (2014)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

A de novo loss-of-function (LoF) variant in the UBN2 gene was first identified in an ASD proband from the Simons Simplex Collection (Iossifov et al., 2014). A second de novo LoF variant in this gene was identified by whole genome sequencing in an ASD proband from a multiplex family as part of the MSSNG initiative in Yuen et al., 2017. Based on the discovery of two de novo LoF variants in ASD cases, a probability of LoF intolerance rate (pLI) > 0.9, and a higher-than expected mutation rate (a false discovery rate < 15%), UBN2 was determined to be an ASD candidate gene in Yuen et al., 2017.

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.

10/1/2019
2
icon
2

Score remained at 2

New Scoring Scheme
Description

A de novo loss-of-function (LoF) variant in the UBN2 gene was first identified in an ASD proband from the Simons Simplex Collection (Iossifov et al., 2014). A second de novo LoF variant in this gene was identified by whole genome sequencing in an ASD proband from a multiplex family as part of the MSSNG initiative in Yuen et al., 2017. Based on the discovery of two de novo LoF variants in ASD cases, a probability of LoF intolerance rate (pLI) > 0.9, and a higher-than expected mutation rate (a false discovery rate < 15%), UBN2 was determined to be an ASD candidate gene in Yuen et al., 2017.

Reports Added
[Phenotype-to-genotype approach reveals head-circumference-associated genes in an autism spectrum disorder cohort.2019] [New Scoring Scheme]
4/1/2017
icon
2

Increased from to 2

Description

A de novo loss-of-function (LoF) variant in the UBN2 gene was first identified in an ASD proband from the Simons Simplex Collection (Iossifov et al., 2014). A second de novo LoF variant in this gene was identified by whole genome sequencing in an ASD proband from a multiplex family as part of the MSSNG initiative in Yuen et al., 2017. Based on the discovery of two de novo LoF variants in ASD cases, a probability of LoF intolerance rate (pLI) > 0.9, and a higher-than expected mutation rate (a false discovery rate < 15%), UBN2 was determined to be an ASD candidate gene in Yuen et al., 2017.

Krishnan Probability Score

Score 0.45914713845342

Ranking 9597/25841 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 0.99864262298756

Ranking 1150/18225 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
Iossifov Probability Score

Score 0.845

Ranking 197/239 scored genes


[Show Scoring Methodology]
Supplementary dataset S2 in the paper by Iossifov et al. (PNAS 112, E5600-E5607 (2015)) lists 239 genes with a probability of at least 0.8 of being associated with autism risk (column I). This probability metric combines the evidence from de novo likely-gene- disrupting and missense mutations and assesses it against the background mutation rate in unaffected individuals from the University of Washington’s Exome Variant Sequence database (evs.gs.washington.edu/EVS/). The list of probability scores can be found here: www.pnas.org/lookup/suppl/doi:10.1073/pnas.1516376112/- /DCSupplemental/pnas.1516376112.sd02.xlsx
Original Source
Sanders TADA Score

Score 0.36282809657536

Ranking 236/18665 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 0.34823916651625

Ranking 2040/20870 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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