Human Gene Module / Chromosome 15 / UBR1

UBR1ubiquitin protein ligase E3 component n-recognin 1

SFARI Gene Score
High Confidence Criteria 1.1
Autism Reports / Total Reports
1 / 1
Rare Variants / Common Variants
Limited Learn More
Associated Syndromes
Chromosome Band
Associated Disorders
Genetic Category
Rare Single Gene Mutation
Relevance to Autism

Seven protein-truncating variants in the UBR1 gene were identified in case samples from the Danish iPSYCH study (Satterstrom et al., 2020). TADA analysis of de novo variants from the Simons Simplex Collection and the Autism Sequencing Consortium and protein-truncating variants from iPSYCH in Satterstrom et al., 2020 identified UBR1 as a candidate gene with a false discovery rate (FDR) between 0.05 and 0.1 (0.05 < FDR 0.1).

Molecular Function

The N-end rule pathway is one proteolytic pathway of the ubiquitin system. The recognition component of this pathway, encoded by this gene, binds to a destabilizing N-terminal residue of a substrate protein and participates in the formation of a substrate-linked multiubiquitin chain. This leads to the eventual degradation of the substrate protein. Homozygous or compound heterozygous mutations in this gene are responsible for Johanson-Blizzard syndrome (OMIM 243800), an autosomal recessive disorder characterized by poor growth, mental retardation, and variable dysmorphic features, including aplasia or hypoplasia of the nasal alae, abnormal hair patterns or scalp defects, and oligodontia.

SFARI Genomic Platforms
Reports related to UBR1 (1 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Primary Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism Satterstrom FK et al. (2020) Yes -
SFARI Gene score

High Confidence

Score Delta: Score remained at 1


High Confidence

See all Category 1 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.


Increased from to 1

Krishnan Probability Score

Score 0.47250529241071

Ranking 8794/25841 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: A searchable browser, with the ability to view networks of associated ASD risk genes, can be found at
ExAC Score

Score 0.31988998079953

Ranking 6398/18225 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 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: aned_exac_nonTCGA_z_pli_rec_null_data.txt
Sanders TADA Score

Score 0.94843644413064

Ranking 17683/18665 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
Zhang D Score

Score 0.37174691188087

Ranking 1769/20870 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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