Human Gene Module / Chromosome 9 / FRRS1L

FRRS1Lferric chelate reductase 1 like

SFARI Gene Score
3
Suggestive Evidence Criteria 3.1
Autism Reports / Total Reports
2 / 2
Rare Variants / Common Variants
2 / 0
Aliases
-
Associated Syndromes
-
Chromosome Band
9q31.3
Associated Disorders
-
Relevance to Autism

Identification of rare variants shared by two or more siblings with ASD following integration of whole genome sequencing data of 866 multiplex families from the iHART and MSSNG cohorts in Lee et al., 2025 identified shared rare variants in the FRRS1L gene in two families; CRISPR/Cas9 experiments demonstrated downregulation of FRRS1L expression by the chr9:111924882C>T family variant. Furthermore, behavioral tests of Frrs1l heterozygous knockout mice (Frrs1l+/-) in Lee et al., 2025 showed specific impairment of social novetly recognition without altering other behavioral phenotypes. A maternally-inherited loss-of-function variant in FRRS1L had previously been identified in one of two ASD-affected siblings from a multiplex family from the AGRE cohort in Cirnigliaro et al., 2023.

Molecular Function

This gene encodes a component of the outer-core of an alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor protein in the brain. The encoded protein is thought to interact with inner-core components of the receptor, and play a role in the modulation of glutamate signaling. Homozygous variants in this gene are responsible for an autosomal recessive form of early infantile epileptic encephalopathy (DEE37; OMIM 616981).

SFARI Genomic Platforms
Reports related to FRRS1L (2 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support - Cirnigliaro M et al. (2023) Yes -
2 Primary - Kang Seon Lee et al. (2025) Yes -
Rare Variants   (2)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.238+4299G>A p.? intron_variant Familial - Multiplex 39753649 Kang Seon Lee et al. (2025)
c.583G>T p.Gly195Ter stop_gained Familial Maternal Multiplex 37506195 Cirnigliaro M et al. (2023)
Common Variants  

No common variants reported.

SFARI Gene score
3

Suggestive Evidence

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.

4/1/2025
3

Initial score established: 3

Krishnan Probability Score

Score 0.49529116706015

Ranking 3064/25841 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 0.0084282799504154

Ranking 10132/18225 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 0.90463047128044

Ranking 6870/18665 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).
Sanders TADA Score

Score 0.91746059266066

Ranking 8653/18665 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 0.27564697757841

Ranking 3096/20870 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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