Human Gene Module / Chromosome 17 / PRKCA

PRKCAprotein kinase C alpha

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
4 / 7
Rare Variants / Common Variants
7 / 0
Aliases
PRKCA, AAG6,  PKC-alpha,  PKCA,  PKCI+/-,  PKCalpha,  PRKACA
Associated Syndromes
-
Chromosome Band
17q24.2
Associated Disorders
-
Relevance to Autism

De novo missense variants in the PRKCA gene have been identified in three ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014) and two probands with unspecified developmental disorders (Deciphering Developmental Disorders Study 2017). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified PRKCA as a gene with an excess of missense variants (false discovery rata < 5%, count >1) (Coe et al., 2018).

Molecular Function

Calcium-activated, phospholipid- and diacylglycerol (DAG)-dependent serine/threonine-protein kinase that is involved in positive and negative regulation of cell proliferation, apoptosis, differentiation, migration and adhesion, tumorigenesis, cardiac hypertrophy, angiogenesis, platelet function and inflammation, by directly phosphorylating targets such as RAF1, BCL2, CSPG4, TNNT2/CTNT, or activating signaling cascade involving MAPK1/3 (ERK1/2) and RAP1GAP.

External Links
Gene CardOpen Targets PlatformgnomAD browserSynGO portalPubMed
Human
Entrez GeneOMIMUniProtHumanBaseVariCarta
SFARI Genomic Platforms
GPF browser SFARI genome browser
Reports related to PRKCA (7 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 Support The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
3 Support Prevalence and architecture of de novo mutations in developmental disorders et al. (2017) No -
4 Recent Recommendation Neurodevelopmental disease genes implicated by de novo mutation and copy number variation morbidity Coe BP , et al. (2018) No -
5 Support - Zhou X et al. (2022) Yes -
6 Support - Hu H et al. (2023) No -
7 Support - Omri Bar et al. (2024) Yes iD
Rare Variants   (7)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.1151C>A p.Thr384Asn missense_variant De novo - - 28135719 et al. (2017)
c.1451T>C p.Met484Thr missense_variant De novo - - 28135719 et al. (2017)
c.533G>A p.Arg178Gln missense_variant De novo - - 25363760 De Rubeis S , et al. (2014)
c.882C>T p.Asp294%3D synonymous_variant De novo - Simplex 35982159 Zhou X et al. (2022)
c.713G>A p.Arg238Gln missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.1541C>T p.Pro514Leu missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.1738C>T p.Arg580Trp missense_variant Familial Maternal Multiplex 38256266 Omri Bar et al. (2024)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

De novo missense variants in the PRKCA gene have been identified in three ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014) and two probands with unspecified developmental disorders (Deciphering Developmental Disorders Study 2017). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified PRKCA as a gene with an excess of missense variants (false discovery rata < 5%, count >1) (Coe et al., 2018).

Score Delta: Score remained at 2

criteria met
See SFARI Gene'scoring criteria
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.

4/1/2022
3
icon
2

Decreased from 3 to 2

Description

De novo missense variants in the PRKCA gene have been identified in three ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014) and two probands with unspecified developmental disorders (Deciphering Developmental Disorders Study 2017). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified PRKCA as a gene with an excess of missense variants (false discovery rata < 5%, count >1) (Coe et al., 2018).

10/1/2019
4
icon
3

Decreased from 4 to 3

New Scoring Scheme
Description

De novo missense variants in the PRKCA gene have been identified in three ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014) and two probands with unspecified developmental disorders (Deciphering Developmental Disorders Study 2017). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified PRKCA as a gene with an excess of missense variants (false discovery rata < 5%, count >1) (Coe et al., 2018).

Reports Added
[New Scoring Scheme]
1/1/2019
icon
4

Increased from to 4

Description

De novo missense variants in the PRKCA gene have been identified in three ASD probands (De Rubeis et al., 2014; Iossifov et al., 2014) and two probands with unspecified developmental disorders (Deciphering Developmental Disorders Study 2017). An integrated meta-analysis of de novo mutation data from a combined dataset of 10,927 individuals with neurodevelopmental disorders identified PRKCA as a gene with an excess of missense variants (false discovery rata < 5%, count >1) (Coe et al., 2018).

Krishnan Probability Score

Score 0.57819958563474

Ranking 613/25841 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.
Original Source
ExAC Score

Score 0.9521359081188

Ranking 2642/18225 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
Original Source
Sanders TADA Score

Score 0.51670130153884

Ranking 485/18665 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).
Original Source
Zhang D Score

Score 0.39433859063361

Ranking 1524/20870 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.
Original Source
Submit New Gene

Report an Error