Human Gene Module / Chromosome 2 / PDCD1

PDCD1programmed cell death 1

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
3 / 4
Rare Variants / Common Variants
3 / 0
Aliases
PDCD1, CD279,  PD-1,  PD1,  SLEB2,  hPD-1,  hPD-l,  hSLE1
Associated Syndromes
-
Chromosome Band
2q37.3
Associated Disorders
-
Relevance to Autism

A de novo frameshift variant and a de novo missense variant in the PDCD1 gene were identified in ASD probands from the Simons Simplex Collection (O'Roak et al., 2012; Iossifov et al., 2014). Transmission and De Novo Association (TADA) analysis of a combined cohort consisting of 536 Chinese ASD probands and 1457 Chinese controls, as well as ASD probands and controls from the Simons Simplex Collection and the Autism Sequencing Consortium, in Guo et al., 2017 identified PDCD1 as an ASD candidate gene with a PTADA of 0.001143.

Molecular Function

This gene encodes a cell surface membrane protein of the immunoglobulin superfamily. This protein is expressed in pro-B-cells and is thought to play a role in their differentiation. Inhibitory cell surface receptor involved in the regulation of T-cell function during immunity and tolerance. Upon ligand binding, inhibits T-cell effector functions in an antigen-specific manner. Possible cell death inducer, in association with other factors.

SFARI Genomic Platforms
Reports related to PDCD1 (4 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Primary Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations O'Roak BJ , et al. (2012) Yes -
2 Support The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
3 Recent Recommendation Targeted sequencing and functional analysis reveal brain-size-related genes and their networks in autism spectrum disorders Li J , et al. (2017) No -
4 Support - Woodbury-Smith M et al. (2022) Yes -
Rare Variants   (3)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.99C>A p.Asn33Lys missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.599T>C p.Ile200Thr missense_variant Unknown - - 35205252 Woodbury-Smith M et al. (2022)
c.106del p.Thr36ProfsTer9 frameshift_variant De novo - Simplex 22495309 O'Roak BJ , et al. (2012)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

A de novo frameshift variant and a de novo missense variant in the PDCD1 gene were identified in ASD probands from the Simons Simplex Collection (O'Roak et al., 2012; Iossifov et al., 2014). Transmission and De Novo Association (TADA) analysis of a combined cohort consisting of 536 Chinese ASD probands and 1457 Chinese controls, as well as ASD probands and controls from the Simons Simplex Collection and the Autism Sequencing Consortium, in Guo et al., 2017 identified PDCD1 as an ASD candidate gene with a PTADA of 0.001143.

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.

4/1/2022
3
icon
2

Decreased from 3 to 2

Description

A de novo frameshift variant and a de novo missense variant in the PDCD1 gene were identified in ASD probands from the Simons Simplex Collection (O'Roak et al., 2012; Iossifov et al., 2014). Transmission and De Novo Association (TADA) analysis of a combined cohort consisting of 536 Chinese ASD probands and 1457 Chinese controls, as well as ASD probands and controls from the Simons Simplex Collection and the Autism Sequencing Consortium, in Guo et al., 2017 identified PDCD1 as an ASD candidate gene with a PTADA of 0.001143.

10/1/2019
4
icon
3

Decreased from 4 to 3

New Scoring Scheme
Description

A de novo frameshift variant and a de novo missense variant in the PDCD1 gene were identified in ASD probands from the Simons Simplex Collection (O'Roak et al., 2012; Iossifov et al., 2014). Transmission and De Novo Association (TADA) analysis of a combined cohort consisting of 536 Chinese ASD probands and 1457 Chinese controls, as well as ASD probands and controls from the Simons Simplex Collection and the Autism Sequencing Consortium, in Guo et al., 2017 identified PDCD1 as an ASD candidate gene with a PTADA of 0.001143.

Reports Added
[New Scoring Scheme]
7/1/2017
icon
4

Increased from to 4

Description

A de novo frameshift variant and a de novo missense variant in the PDCD1 gene were identified in ASD probands from the Simons Simplex Collection (O'Roak et al., 2012; Iossifov et al., 2014). Transmission and De Novo Association (TADA) analysis of a combined cohort consisting of 536 Chinese ASD probands and 1457 Chinese controls, as well as ASD probands and controls from the Simons Simplex Collection and the Autism Sequencing Consortium, in Guo et al., 2017 identified PDCD1 as an ASD candidate gene with a PTADA of 0.001143.

Krishnan Probability Score

Score 0.44793392297682

Ranking 11865/25841 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 0.017954047932224

Ranking 9507/18225 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
Iossifov Probability Score

Score 0.896

Ranking 148/239 scored genes


[Show Scoring Methodology]
Supplementary dataset S2 in the paper by Iossifov et al. (PNAS 112, E5600-E5607 (2015)) lists 239 genes with a probability of at least 0.8 of being associated with autism risk (column I). This probability metric combines the evidence from de novo likely-gene- disrupting and missense mutations and assesses it against the background mutation rate in unaffected individuals from the University of Washington’s Exome Variant Sequence database (evs.gs.washington.edu/EVS/). The list of probability scores can be found here: www.pnas.org/lookup/suppl/doi:10.1073/pnas.1516376112/- /DCSupplemental/pnas.1516376112.sd02.xlsx
Sanders TADA Score

Score 0.3992055314393

Ranking 278/18665 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 -0.097022887662348

Ranking 12248/20870 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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