Human Gene Module / Chromosome 14 / ESRRB

ESRRBestrogen-related receptor beta

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
5 / 9
Rare Variants / Common Variants
4 / 2
Aliases
ESRRB, DFNB35,  ERR2,  ERRb,  ERRbeta,  ERRbeta-2,  ESRL2,  NR3B2
Associated Syndromes
-
Chromosome Band
14q24.3
Associated Disorders
-
Relevance to Autism

Genetic association has been found between the ESRRB gene and autism in two large cohorts (AGRE and ACC) of European ancestry and replicated in two other cohorts (CAP and CART) (Wang et al., 2009).

Molecular Function

steroid hormone receptor, transcription factor

SFARI Genomic Platforms
Reports related to ESRRB (9 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Recent Recommendation Mutations of ESRRB encoding estrogen-related receptor beta cause autosomal-recessive nonsyndromic hearing impairment DFNB35 Collin RW , et al. (2008) No -
2 Recent Recommendation Integration of external signaling pathways with the core transcriptional network in embryonic stem cells Chen X , et al. (2008) No -
3 Recent Recommendation Esrrb activates Oct4 transcription and sustains self-renewal and pluripotency in embryonic stem cells Zhang X , et al. (2008) No -
4 Primary Common genetic variants on 5p14.1 associate with autism spectrum disorders Wang K , et al. (2009) Yes -
5 Positive Association A genome-wide association study of autism incorporating autism diagnostic interview-revised, autism diagnostic observation schedule, and social responsiveness scale Connolly JJ , et al. (2012) Yes -
6 Support A discovery resource of rare copy number variations in individuals with autism spectrum disorder Prasad A , et al. (2013) Yes -
7 Support - Tuncay IO et al. (2022) Yes DD
8 Support - Zhou X et al. (2022) Yes -
9 Highly Cited Chromosomal mapping of the human and murine orphan receptors ERRalpha (ESRRA) and ERRbeta (ESRRB) and identification of a novel human ERRalpha-related pseudogene Sladek R , et al. (1997) No -
Rare Variants   (4)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
- - copy_number_gain Unknown Unknown Unknown 23275889 Prasad A , et al. (2013)
c.663G>A p.Pro221%3D synonymous_variant De novo - Simplex 35982159 Zhou X et al. (2022)
c.16A>G p.Arg6Gly missense_variant Familial Maternal Simplex 35190550 Tuncay IO et al. (2022)
c.1427G>A p.Arg476His missense_variant Familial Paternal Simplex 35190550 Tuncay IO et al. (2022)
Common Variants   (2)
Status Allele Change Residue Change Variant Type Inheritance Pattern Paternal Transmission Family Type PubMed ID Author, Year
- - intergenic_variant - - - 19404256 Wang K , et al. (2009)
- - intergenic_variant - - - 22935194 Connolly JJ , et al. (2012)
SFARI Gene score
2

Strong Candidate

A single unreplicated association has been reported by Wang et al., 2009 (PMID: 19404256).

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
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2

Decreased from 3 to 2

Description

A single unreplicated association has been reported by Wang et al., 2009 (PMID: 19404256).

10/1/2019
4
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3

Decreased from 4 to 3

New Scoring Scheme
Description

A single unreplicated association has been reported by Wang et al., 2009 (PMID: 19404256).

Reports Added
[New Scoring Scheme]
7/1/2014
No data
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4

Increased from No data to 4

Description

A single unreplicated association has been reported by Wang et al., 2009 (PMID: 19404256).

4/1/2014
No data
icon
4

Increased from No data to 4

Description

A single unreplicated association has been reported by Wang et al., 2009 (PMID: 19404256).

Krishnan Probability Score

Score 0.49438998213463

Ranking 3688/25841 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 0.54208099120338

Ranking 5247/18225 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 0.92622194230714

Ranking 10386/18665 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).
Larsen Cumulative Evidence Score

Score 10.5

Ranking 176/461 scored genes


[Show Scoring Methodology]
Larsen and colleagues generated gene scores based on the sum of evidence for all available ASD-associated variants in a gene, with assessments based on mode of inheritance, effect size, and variant frequency in the general population. The approach was first presented in Mol Autism 7:44 (2016), and scores for 461 genes can be found in column I in supplementary table 4 from that paper.
Zhang D Score

Score -0.26358532796584

Ranking 16623/20870 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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