Human Gene Module / Chromosome 9 / CDK5RAP2

CDK5RAP2CDK5 regulatory subunit associated protein 2

SFARI Gene Score
3
Suggestive Evidence Criteria 3.1
Autism Reports / Total Reports
9 / 14
Rare Variants / Common Variants
22 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
9q33.2
Associated Disorders
-
Relevance to Autism

A de novo non-coding variant that was predicted to target the CDK5RAP2 gene via chromatin interactions was identified in a Korean ASD proband from a simplex family in Kim et al., 2022; functional analysis in human induced pluripotent stem cells derived from the proband and the proband's parents demonstrated that this variant resulted in significantly reduced levels of CDK5RAP2 expression in patient-derived hiPSCs compared to parent-derived hiPSCs. Multiple rare de novo non-coding variants in CDK5RAP2 have also been identified in ASD probands from the Simons Simplex Collection, the Autism Sequencing Consortium, and the MSSNG cohort (De Rubeis et al., 2014; Turner et al., 2016; Yuen et al., 2016; Yuen et al., 2017; Turner et al., 2017; Satterstrom et al., 2020), while sequencing of 136 microcephaly or macrocephaly-related genes and 158 possible ASD risk genes in 536 Chinese ASD probands in Li et al., 2017 identified a potentially damaging missense variant in this gene in an ASD proband.

Molecular Function

This gene encodes a regulator of CDK5 (cyclin-dependent kinase 5) activity. The protein encoded by this gene is localized to the centrosome and Golgi complex, interacts with CDK5R1 and pericentrin (PCNT), plays a role in centriole engagement and microtubule nucleation, and has been linked to primary microcephaly and Alzheimer's disease. Biallelic mutations in this gene are responsible for an autosomal recessive form of primary microcephaly (MCPH3; OMIM 604804) (Bond et al., 2005; Pagnamenta et al., 2012; Lancaster et al., 2013; Tan et al., 2014; Pagnamenta et al., 2016).

SFARI Genomic Platforms
Reports related to CDK5RAP2 (14 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support - Bond J et al. (2005) No -
2 Support - Pagnamenta AT et al. (2012) No -
3 Support - Tan CA et al. (2014) No -
4 Support - Lancaster MA et al. (2013) No -
5 Support Synaptic, transcriptional and chromatin genes disrupted in autism De Rubeis S , et al. (2014) Yes -
6 Support Genome Sequencing of Autism-Affected Families Reveals Disruption of Putative Noncoding Regulatory DNA Turner TN et al. (2016) Yes -
7 Support Genome-wide characteristics of de novo mutations in autism Yuen RK et al. (2016) Yes -
8 Support - Pagnamenta AT et al. (2016) No -
9 Support Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder C Yuen RK et al. (2017) Yes -
10 Support Targeted sequencing and functional analysis reveal brain-size-related genes and their networks in autism spectrum disorders Li J , et al. (2017) Yes -
11 Support Genomic Patterns of De Novo Mutation in Simplex Autism Turner TN et al. (2017) Yes -
12 Support Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism Satterstrom FK et al. (2020) Yes -
13 Primary - Kim IB et al. (2022) Yes -
14 Support - Cirnigliaro M et al. (2023) Yes -
Rare Variants   (22)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
- - intron_variant De novo - Simplex 28263302 C Yuen RK et al. (2017)
c.3722+42C>A - intron_variant De novo - - 25363760 De Rubeis S , et al. (2014)
c.5042-50C>T - intron_variant De novo - - 31981491 Satterstrom FK et al. (2020)
c.5579-50C>T - intron_variant De novo - - 31981491 Satterstrom FK et al. (2020)
c.59+2021A>G - intron_variant De novo - Simplex 28965761 Turner TN et al. (2017)
c.5214+258C>T - intron_variant De novo - Multiplex 27525107 Yuen RK et al. (2016)
c.128-1662C>T - intron_variant De novo - Simplex 26749308 Turner TN et al. (2016)
c.5070+136T>C - intron_variant De novo - Simplex 28263302 C Yuen RK et al. (2017)
c.5579-685G>A - intron_variant De novo - Simplex 28263302 C Yuen RK et al. (2017)
c.196-6526G>T - intron_variant De novo - Simplex 28965761 Turner TN et al. (2017)
c.4297+346G>C - intron_variant De novo - Simplex 28965761 Turner TN et al. (2017)
c.3955+3979G>C - intron_variant De novo - Simplex 28263302 C Yuen RK et al. (2017)
g.123659550G>A - intergenic_variant De novo - Simplex 35840799 Kim IB et al. (2022)
c.196-5480G>T - intron_variant De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.196-6122A>C - intron_variant De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.3723-341A>G - intron_variant De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.4005-422C>T - intron_variant De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.4726+1909C>G - intron_variant De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.4129G>T p.Asp1377Tyr missense_variant Unknown - Simplex 28831199 Li J , et al. (2017)
c.4615G>T p.Glu1539Ter stop_gained Familial Maternal Multiplex 37506195 Cirnigliaro M et al. (2023)
c.4615G>T p.Glu1539Ter stop_gained Familial Paternal Multiplex 37506195 Cirnigliaro M et al. (2023)
c.4672C>T p.Arg1558Ter stop_gained Familial Maternal Multiplex 37506195 Cirnigliaro M et al. (2023)
Common Variants  

No common variants reported.

SFARI Gene score
3

Suggestive Evidence

Score Delta: Score remained at 3

3

Suggestive Evidence

See all Category 3 Genes

The literature is replete with relatively small studies of candidate genes, using either common or rare variant approaches, which do not reach the criteria set out for categories 1 and 2. Genes that had two such lines of supporting evidence were placed in category 3, and those with one line of evidence were placed in category 4. Some additional lines of "accessory evidence" (indicated as "acc" in the score cards) could also boost a gene from category 4 to 3.

10/1/2022
icon
3

Increased from to 3

Krishnan Probability Score

Score 0.3364784938351

Ranking 24345/25841 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 5.70875541213E-16

Ranking 17745/18225 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 0.94948106578778

Ranking 18108/18665 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 -0.41499186076243

Ranking 18501/20870 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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