Human Gene Module / Chromosome 17 / P2RX5

P2RX5Purinergic receptor P2X, ligand gated ion channel, 5

Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
4 / 4
Rare Variants / Common Variants
3 / 0
Aliases
P2RX5, LRH-1,  P2X5,  P2X5R
Associated Syndromes
-
Genetic Category
Rare Single Gene Mutation
Chromosome Band
17p13.2
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 identified in this gene was one de novo loss-of-function (LoF) variant.

Molecular Function

The product of this gene belongs to the family of purinoceptors for ATP. This receptor functions as a ligand-gated ion channel.

Reports related to P2RX5 (4 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support The contribution of de novo coding mutations to autism spectrum disorder. Iossifov I , et al. (2014) Yes -
2 Primary Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci. Sanders SJ , et al. (2015) Yes -
3 Support Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks. Ruzzo EK , et al. (2019) 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
Rare Variants   (3)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.978+1G>A - splice_site_variant De novo NA Simplex 25363768 Iossifov I , et al. (2014)
c.137+1G>A - splice_site_variant Familial Maternal Simplex 31674007 Wu H , et al. (2019)
c.694C>T p.Arg232Ter stop_gained Familial Paternal Multiplex 31398340 Ruzzo EK , 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 identified in this gene was one de novo loss-of-function (LoF) variant.

Score Delta: Score remained at 3

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
3
icon
2

Decreased from 3 to 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 identified in this gene was one de novo loss-of-function (LoF) variant.

7/1/2019
3
icon
3

Decreased from 3 to 3

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 identified in this gene was one de novo loss-of-function (LoF) variant.

10/1/2015
icon
3

Increased from to 3

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 identified in this gene was one de novo loss-of-function (LoF) variant.

Krishnan Probability Score

Score 0.44686391909561

Ranking 14381/25841 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 1.831092724998E-5

Ranking 13931/18225 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 0.04989471374296

Ranking 46/18665 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 -0.65510511184517

Ranking 20162/20870 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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SFARI Gene Update

We are pleased to announce some changes to the ongoing curation of the data in SFARI Gene. In the context of a continued effort to develop the human gene module and its manually curated list of autism risk genes, we are modifying other aspects of the site to focus on the information that is of greatest interest to the research community. The version of SFARI Gene that has been developed until now will be frozen and will remain available as “SFARI Gene Archive”. Please see the announcement for more details.
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