Human Gene Module / Chromosome 17 / GGNBP2

GGNBP2gametogenetin binding protein 2

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
3 / 3
Rare Variants / Common Variants
4 / 0
Aliases
GGNBP2, DIF-3,  DIF3,  LCRG1,  LZK1,  ZFP403,  ZNF403
Associated Syndromes
-
Chromosome Band
17q12
Associated Disorders
-
Relevance to Autism

De novo loss-of-function (LoF) variants in the GGNBP2 gene were identified in an ASD proband from the Autism Sequencing Consortium (De Rubeis et al., 2014) and an ASD proband from a cohort of 262 Japanese trios (Takata et al., 2018). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as the Japanese ASD cohort from Takata et al., 2018, identified GGNBP2 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

Molecular Function

May be involved in spermatogenesis.

SFARI Genomic Platforms
Reports related to GGNBP2 (3 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Primary Synaptic, transcriptional and chromatin genes disrupted in autism De Rubeis S , et al. (2014) Yes -
2 Recent Recommendation Integrative Analyses of De Novo Mutations Provide Deeper Biological Insights into Autism Spectrum Disorder Takata A , et al. (2018) Yes -
3 Support - Zhou X et al. (2022) Yes -
Rare Variants   (4)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.1681C>T p.Arg561Ter stop_gained De novo - - 25363760 De Rubeis S , et al. (2014)
c.2079G>A p.Thr693%3D synonymous_variant De novo - - 35982159 Zhou X et al. (2022)
c.673C>T p.Arg225Ter stop_gained De novo - Simplex 29346770 Takata A , et al. (2018)
c.1926dup p.Ile643TyrfsTer5 frameshift_variant De novo - - 35982159 Zhou X et al. (2022)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

De novo loss-of-function (LoF) variants in the GGNBP2 gene were identified in an ASD proband from the Autism Sequencing Consortium (De Rubeis et al., 2014) and an ASD proband from a cohort of 262 Japanese trios (Takata et al., 2018). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as the Japanese ASD cohort from Takata et al., 2018, identified GGNBP2 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

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
3
icon
2

Decreased from 3 to 2

New Scoring Scheme
Description

De novo loss-of-function (LoF) variants in the GGNBP2 gene were identified in an ASD proband from the Autism Sequencing Consortium (De Rubeis et al., 2014) and an ASD proband from a cohort of 262 Japanese trios (Takata et al., 2018). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as the Japanese ASD cohort from Takata et al., 2018, identified GGNBP2 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

Reports Added
[New Scoring Scheme]
7/1/2018
icon
3

Increased from to 3

Description

De novo loss-of-function (LoF) variants in the GGNBP2 gene were identified in an ASD proband from the Autism Sequencing Consortium (De Rubeis et al., 2014) and an ASD proband from a cohort of 262 Japanese trios (Takata et al., 2018). TADA-Denovo analysis using a combined dataset of previously published cohorts from the Simons Simplex Collection and the Autism Sequencing Consortium, as well as the Japanese ASD cohort from Takata et al., 2018, identified GGNBP2 as a gene significantly enriched in damaging de novo mutations in ASD cases (pBH < 0.05).

Krishnan Probability Score

Score 0.48448126691053

Ranking 7527/25841 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 0.99992911200978

Ranking 628/18225 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 0.26182327271984

Ranking 151/18665 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 0.29274937102375

Ranking 2854/20870 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.
CNVs associated with GGNBP2(1 CNVs)
17q12 77 Deletion-Duplication 117  /  510
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