Human Gene Module / Chromosome 22 / MYH9

MYH9myosin heavy chain 9

SFARI Gene Score
2
Strong Candidate Criteria 2.1
Autism Reports / Total Reports
6 / 8
Rare Variants / Common Variants
54 / 0
Aliases
MYH9, BDPLT6,  DFNA17,  EPSTS,  FTNS,  MATINS,  MHA,  NMHC-II-A,  NMMHC-IIA,  NMMHCA
Associated Syndromes
-
Chromosome Band
22q12.3
Associated Disorders
DD/NDD
Relevance to Autism

De novo missense variants in the MYH9 gene have been identified in ASD probands from the Simons Simplex Collection (Iossifov et al., 2014) and the SPARK cohort (Wang et al., 2020), as well as in probands from the German Mental Retardation Network (Rauch et al., 2012) and the Deciphering Developmental Disorders 2017 study. Single-molecular molecular inversion probe (smMIP) sequencing of 3,363 probands from cohorts with a primary diagnosis of ASD in Wang et al., 2020 identified 26 individuals with missense variants with CADD scores 30 in the MYH9 gene. A rare coding-synonymous variant in the MYH9 gene was identifed within a risk haplotype on chromosome 22 that co-segregated with ASD in a large, 47-member, multigenerational pedigree with 11 cases of autism spectrum disorder (Marchani et al., 2012). Functional analysis of the ASD-associated p.Arg1571Gln missense variant, which was originally identified in an SSC proband, in Drosophila in Marcogliese et al., 2022 demonstrated a gain-of-function effect (increased lethality when overexpressed compared to reference protein; a gain-of-function effect was also observed in wing-size-based-assay).

Molecular Function

This gene encodes a conventional non-muscle myosin; this protein should not be confused with the unconventional myosin-9a or 9b (MYO9A or MYO9B). The encoded protein is a myosin IIA heavy chain that contains an IQ domain and a myosin head-like domain which is involved in several important functions, including cytokinesis, cell motility and maintenance of cell shape. Defects in this gene have been associated with non-syndromic sensorineural deafness autosomal dominant type 17, Epstein syndrome, Alport syndrome with macrothrombocytopenia, Sebastian syndrome, Fechtner syndrome and macrothrombocytopenia with progressive sensorineural deafness.

SFARI Genomic Platforms
Reports related to MYH9 (8 Reports)
# Type Title Author, Year Autism Report Associated Disorders
1 Support Range of genetic mutations associated with severe non-syndromic sporadic intellectual disability: an exome sequencing study Rauch A , et al. (2012) No -
2 Support Identification of rare variants from exome sequence in a large pedigree with autism Marchani EE et al. (2012) Yes -
3 Support The contribution of de novo coding mutations to autism spectrum disorder Iossifov I et al. (2014) Yes -
4 Support Prevalence and architecture of de novo mutations in developmental disorders et al. (2017) No -
5 Primary Large-scale targeted sequencing identifies risk genes for neurodevelopmental disorders Wang T et al. (2020) Yes DD
6 Support - Marcogliese PC et al. (2022) Yes -
7 Support - Zhou X et al. (2022) Yes -
8 Support - Wang J et al. (2023) Yes -
Rare Variants   (54)
Status Allele Change Residue Change Variant Type Inheritance Pattern Parental Transmission Family Type PubMed ID Author, Year
c.-19-7C>A - splice_region_variant De novo - - 35982159 Zhou X et al. (2022)
c.166G>A p.Val56Met missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.575C>T p.Ala192Val missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.934G>A p.Gly312Arg missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.943G>T p.Asp315Tyr missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.506C>G p.Ser169Cys missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.1048G>A p.Gly350Ser missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.1088C>T p.Ala363Val missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.1279C>T p.Arg427Cys missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.2269G>A p.Gly757Ser missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.2369G>A p.Cys790Tyr missense_variant De novo - - 33004838 Wang T et al. (2020)
c.3101A>C p.Glu1034Ala missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.3914C>T p.Ala1305Val missense_variant De novo - - 33004838 Wang T et al. (2020)
c.4726C>T p.Arg1576Trp missense_variant De novo - - 33004838 Wang T et al. (2020)
c.4771G>A p.Val1591Met missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.5692C>T p.Arg1898Cys missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.3547C>T p.His1183Tyr missense_variant De novo - - 35982159 Zhou X et al. (2022)
c.1933A>G p.Thr645Ala missense_variant De novo - Simplex 28135719 et al. (2017)
c.3195C>T p.Ala1065%3D synonymous_variant De novo - - 35982159 Zhou X et al. (2022)
c.3756G>A p.Ala1252%3D synonymous_variant De novo - - 35982159 Zhou X et al. (2022)
c.3816C>T p.Ala1272%3D synonymous_variant De novo - - 35982159 Zhou X et al. (2022)
c.4407G>A p.Ala1469%3D synonymous_variant De novo - - 35982159 Zhou X et al. (2022)
c.5277C>T p.Ile1759%3D synonymous_variant De novo - - 35982159 Zhou X et al. (2022)
c.934G>A p.Gly312Arg missense_variant Unknown - Simplex 33004838 Wang T et al. (2020)
c.5189G>A p.Arg1730His missense_variant De novo - Simplex 37393044 Wang J et al. (2023)
c.5693G>A p.Arg1898His missense_variant Familial Paternal - 33004838 Wang T et al. (2020)
c.5707G>A p.Ala1903Thr missense_variant De novo - Simplex 23020937 Rauch A , et al. (2012)
c.5089A>T XP_005261671.1:p.Lys1697Ter stop_gained Unknown - - 33004838 Wang T et al. (2020)
c.4712G>A p.Arg1571Gln missense_variant De novo - Simplex 25363768 Iossifov I et al. (2014)
c.73G>A p.Asp25Asn missense_variant Familial Paternal Simplex 33004838 Wang T et al. (2020)
c.2140C>T XP_005261671.1:p.Arg714Cys missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.2257G>A XP_005261671.1:p.Gly753Ser missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.2311G>A XP_005261671.1:p.Asp771Asn missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.2570C>A XP_005261671.1:p.Pro857Gln missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.3166C>T XP_005261671.1:p.Arg1056Cys missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.3278C>T XP_005261671.1:p.Ala1093Val missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.3736G>A XP_005261671.1:p.Glu1246Lys missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.4027C>T XP_005261671.1:p.Arg1343Trp missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.4028G>A XP_005261671.1:p.Arg1343Gln missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.4511G>A XP_005261671.1:p.Arg1504Gln missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.4789C>T XP_005261671.1:p.Arg1597Trp missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.4838G>A XP_005261671.1:p.Arg1613Gln missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.5311G>A XP_005261671.1:p.Asp1771Asn missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.5725C>T XP_005261671.1:p.Arg1909Trp missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.5743C>T XP_005261671.1:p.Arg1915Trp missense_variant Unknown - - 33004838 Wang T et al. (2020)
c.4361G>A XP_005261671.1:p.Arg1454His missense_variant Unknown - Simplex 33004838 Wang T et al. (2020)
c.2279C>T XP_005261671.1:p.Ala760Val missense_variant Familial Maternal - 33004838 Wang T et al. (2020)
c.3709G>A XP_005261671.1:p.Glu1237Lys missense_variant Familial Paternal - 33004838 Wang T et al. (2020)
c.4027C>T XP_005261671.1:p.Arg1343Trp missense_variant Familial Maternal - 33004838 Wang T et al. (2020)
c.4838G>A XP_005261671.1:p.Arg1613Gln missense_variant Familial Maternal - 33004838 Wang T et al. (2020)
c.5018G>A XP_005261671.1:p.Arg1673His missense_variant Familial Paternal - 33004838 Wang T et al. (2020)
c.5758G>A XP_005261671.1:p.Glu1920Lys missense_variant Familial Paternal - 33004838 Wang T et al. (2020)
c.4008C>T p.Asp1336%3D synonymous_variant Familial - Extended multiplex 23594493 Marchani EE et al. (2012)
c.3736G>A XP_005261671.1:p.Glu1246Lys missense_variant Familial Maternal Simplex 33004838 Wang T et al. (2020)
Common Variants  

No common variants reported.

SFARI Gene score
2

Strong Candidate

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
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2

Increased from to 2

Krishnan Probability Score

Score 0.49547779911135

Ranking 2943/25841 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 0.99999999991202

Ranking 70/18225 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 0.97

Ranking 58/239 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 0.9508516897421

Ranking 18653/18665 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 0.36160153166721

Ranking 1883/20870 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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