Human Gene Module / Chromosome 4 / NPFFR2

NPFFR2neuropeptide FF receptor 2

SFARI Gene Score
3
Suggestive Evidence Criteria 3.1
Autism Reports / Total Reports
7 / 7
Rare Variants / Common Variants
9 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
4q13.3
Associated Disorders
-
Relevance to Autism

De novo variants in the NPFFR2 have been identified in ASD probands, including a de novo missense variant (p.Met163Ile) in a proband from the Simons Simplex Collection (Iossifov et al., 2014; Satterstrom et al., 2020), while a maternally-inherited loss-of-function variant in this gene was observed in two of three ASD-affected siblings from a multiplex family from the iHART cohort (Ruzzo et al., 2019). Functional assessment of the ASD-associated p.Met163Ile missense variant in Drosophila using an overexpression-based strategy in Macrogliese et al., 2022 demonstrated that flies overexpressing NPFFR2-p.Met163Ile failed to reduce the expected viability to the extent of the corresponding reference allele upon overexpression, indicating a loss-of-function effect.

Molecular Function

This gene encodes a member of a subfamily of G-protein-coupled neuropeptide receptors. This protein is activated by the neuropeptides A-18-amide (NPAF) and F-8-amide (NPFF) and may function in pain modulation and regulation of the opioid system.

External Links
Gene CardOpen Targets PlatformgnomAD browserPubMed
Human
Entrez GeneOMIMUniProtHumanBaseVariCarta
SFARI Genomic Platforms
GPF browser SFARI genome browser
Reports related to NPFFR2 (7 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Primary The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
2 Support Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder C Yuen RK et al. (2017) Yes -
3 Support Genomic Patterns of De Novo Mutation in Simplex Autism Turner TN et al. (2017) Yes -
4 Support Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks Ruzzo EK , et al. (2019) Yes -
5 Support Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism Satterstrom FK et al. (2020) Yes -
6 Recent Recommendation - Marcogliese PC et al. (2022) Yes -
7 Support - Zhou X et al. (2022) Yes -
Rare Variants   (9)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.607A>G p.Thr203Ala missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.1252A>G p.Thr418Ala missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.2+23476T>G - intron_variant De novo - Simplex 28965761 Turner TN et al. (2017)
c.3-21102A>G - intron_variant De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.-110+3493C>G - intron_variant De novo - Multiplex 28263302 C Yuen RK et al. (2017)
c.531T>C p.His177= synonymous_variant De novo - - 31981491 Satterstrom FK et al. (2020)
c.438-2471_438-2467del - intron_variant De novo - Simplex 28965761 Turner TN et al. (2017)
c.489G>A p.Met163Ile missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.1048del p.Leu350SerfsTer16 frameshift_variant Familial Maternal Multiplex 31398340 Ruzzo EK , et al. (2019)
Common Variants  

No common variants reported.

SFARI Gene score
3

Suggestive Evidence

Score Delta: Score remained at 3

criteria met
See SFARI Gene'scoring criteria
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.

4/1/2022
icon
3

Increased from to 3

Krishnan Probability Score

Score 0.49449244997013

Ranking 3627/25841 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 9.7148218417361E-6

Ranking 14234/18225 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 0.93137713551049

Ranking 11683/18665 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 -0.066308914441178

Ranking 11026/20870 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
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