Human Gene Module / Chromosome 5 / RANBP17

RANBP17RAN binding protein 17

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
8 / 9
Rare Variants / Common Variants
11 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
5q35.1
Associated Disorders
-
Relevance to Autism

This gene was identified by TADA (transmission and de novo association) analysis of a combined dataset from the Simons Simplex Collection (SSC) and the Autism Sequencing Consortium (ASC) as a gene strongly enriched for variants likely to affect ASD risk with a false discovery rate (FDR) of <0.1 (Sanders et al., 2015); among the variants observed in this gene were two de novo loss-of-function (LoF) variants.

Molecular Function

The protein encoded by this gene may function as a nuclear transport receptor.

SFARI Genomic Platforms
Reports related to RANBP17 (9 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 The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
3 Primary Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci Sanders SJ , et al. (2015) Yes -
4 Support De Novo Sequence and Copy Number Variants Are Strongly Associated with Tourette Disorder and Implicate Cell Polarity in Pathogenesis Wang S , et al. (2018) No -
5 Support Both rare and common genetic variants contribute to autism in the Faroe Islands Leblond CS , et al. (2019) Yes -
6 Support Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks Ruzzo EK , et al. (2019) Yes -
7 Support - Tuncay IO et al. (2022) Yes DD
8 Support - Zhou X et al. (2022) Yes -
9 Support - Cirnigliaro M et al. (2023) Yes -
Rare Variants   (11)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.2002T>G p.Tyr668Asp missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.3094C>T p.Gln1032Ter stop_gained De novo - - 25363760 De Rubeis S , et al. (2014)
c.311T>A p.Ile104Asn missense_variant De novo - Simplex 30257206 Wang S , et al. (2018)
2488+TC(delTC) 830-! frameshift_variant De novo - - 25363760 De Rubeis S , et al. (2014)
c.3021G>A p.Gly1007%3D synonymous_variant De novo - Simplex 35982159 Zhou X et al. (2022)
c.1769C>T p.Thr590Met missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.1784+1G>A - splice_site_variant Familial Paternal Multiplex 31398340 Ruzzo EK , et al. (2019)
c.728G>A p.Cys243Tyr missense_variant Familial Maternal Simplex 35190550 Tuncay IO et al. (2022)
c.631C>T p.Gln211Ter stop_gained Familial Paternal Multiplex 37506195 Cirnigliaro M et al. (2023)
c.3206T>G p.Val1069Gly missense_variant Familial Paternal Simplex 35190550 Tuncay IO et al. (2022)
c.521_522del p.Arg174LysfsTer8 frameshift_variant Familial Paternal Simplex 30675382 Leblond CS , et al. (2019)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

This gene was identified by TADA (transmission and de novo association) analysis of a combined dataset from the Simons Simplex Collection (SSC) and the Autism Sequencing Consortium (ASC) as a gene strongly enriched for variants likely to affect ASD risk with a false discovery rate (FDR) of < 0.1 (Sanders et al., 2015); among the variants observed in this gene were two de novo loss-of-function (LoF) variants.

Score Delta: Score remained at 2

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

This gene was identified by TADA (transmission and de novo association) analysis of a combined dataset from the Simons Simplex Collection (SSC) and the Autism Sequencing Consortium (ASC) as a gene strongly enriched for variants likely to affect ASD risk with a false discovery rate (FDR) of < 0.1 (Sanders et al., 2015); among the variants observed in this gene were two de novo loss-of-function (LoF) variants.

Reports Added
[New Scoring Scheme]
7/1/2019
2
icon
2

Score remained at 2

Description

This gene was identified by TADA (transmission and de novo association) analysis of a combined dataset from the Simons Simplex Collection (SSC) and the Autism Sequencing Consortium (ASC) as a gene strongly enriched for variants likely to affect ASD risk with a false discovery rate (FDR) of < 0.1 (Sanders et al., 2015); among the variants observed in this gene were two de novo loss-of-function (LoF) variants.

1/1/2019
2
icon
2

Score remained at 2

Description

This gene was identified by TADA (transmission and de novo association) analysis of a combined dataset from the Simons Simplex Collection (SSC) and the Autism Sequencing Consortium (ASC) as a gene strongly enriched for variants likely to affect ASD risk with a false discovery rate (FDR) of < 0.1 (Sanders et al., 2015); among the variants observed in this gene were two de novo loss-of-function (LoF) variants.

10/1/2018
2
icon
2

Score remained at 2

Description

This gene was identified by TADA (transmission and de novo association) analysis of a combined dataset from the Simons Simplex Collection (SSC) and the Autism Sequencing Consortium (ASC) as a gene strongly enriched for variants likely to affect ASD risk with a false discovery rate (FDR) of < 0.1 (Sanders et al., 2015); among the variants observed in this gene were two de novo loss-of-function (LoF) variants.

10/1/2015
icon
2

Increased from to 2

Description

This gene was identified by TADA (transmission and de novo association) analysis of a combined dataset from the Simons Simplex Collection (SSC) and the Autism Sequencing Consortium (ASC) as a gene strongly enriched for variants likely to affect ASD risk with a false discovery rate (FDR) of <0.1 (Sanders et al., 2015); among the variants observed in this gene were two de novo loss-of-function (LoF) variants.

Krishnan Probability Score

Score 0.49089451144371

Ranking 5919/25841 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 8.610176525155E-36

Ranking 18188/18225 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 0.011356047920807

Ranking 29/18665 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 -0.001990663082664

Ranking 8757/20870 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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