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. 2026 Mar 19;269(2):222–231. doi: 10.1002/path.70048

Functional reassessment of extended splice region variants in MYO7A with hearing loss and Usher syndrome

Tao Shi 1,#, Yu Huang 2,3,#, Xiaohuan Su 3,4,#, Lisheng Yu 1, Yixin Zhao 1,✉, Jing Cheng 2,3,4,✉
PMCID: PMC13140121  PMID: 41852313

Abstract

MYO7A is a causal gene, underlying Usher syndrome type 1B (USH1B) and both autosomal recessive (DFNB2) and dominant (DFNA11) non‐syndromic hearing loss. Despite the large number of reported MYO7A variants (over 2,200), variants located in an extended splice region remain difficult to interpret and are often classified as variants of uncertain significance (VUS). We investigated the clinical impact of MYO7A extended splice region variants, located within ±50 bp of exon–intron boundaries, by analyzing a nationwide Chinese cohort of 10,664 undiagnosed individuals with hearing loss. Twelve such variants (in 11 probands, two variants were in cis) were identified for functional analysis. Using minigene splicing assays coupled with in silico splicing predictions, we evaluated each variant's effect on pre‐mRNA processing and applied ACMG/AMP guidelines for classification. Six of the tested variants completely disrupted normal splicing, and eight variants in total were reclassified from VUS to pathogenic or likely pathogenic based on aberrant transcript outcomes. Notably, several variants generated multiple distinct abnormal transcripts, and two‐thirds of these variants fell within the myosin motor domain (others in the FERM2 domain). Splicing predictions from in silico algorithms were largely concordant with the experimental results, further supporting their utility in variant interpretation. This functional evidence enabled definitive molecular diagnoses in previously unresolved cases spanning DFNA11, DFNB2, and USH1B phenotypes. In summary, our study demonstrated that integrating experimental splicing assays with predictive tools can definitively determine the pathogenicity of extended splice region variants in MYO7A, thereby improving the diagnostic accuracy of genetic testing for both non‐syndromic and syndromic hearing loss. This approach could be applied to other genes to enhance genetic diagnosis. © 2026 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Keywords: MYO7A, splice region, minigene assay, variant interpretation, hearing loss, Usher syndrome

Introduction

Mutations in MYO7A, located on chromosome 11q13.5, cause a spectrum of hereditary hearing‐loss disorders, including syndromic Usher syndrome type 1B (USH1B) and non‐syndromic forms DFNB2 and DFNA11 [1, 2, 3, 4, 5]. The MYO7A gene encodes myosin VIIa, an unconventional motor protein expressed in the cochlea, vestibular system, and retina, where it plays a central role in stereocilia mechanotransduction and photoreceptor integration [6, 7, 8]. Defects in myosin VIIa disrupt auditory, vestibular, and visual function, giving rise to phenotypes ranging from congenital severe‐to‐profound deafness with retinitis pigmentosa (USH1B) to isolated progressive hearing loss (DFNA11, DFNB2) [9].

Accurate pre‐mRNA splicing depends on multiple cis‐regulatory elements, including the 5’ donor and 3’ acceptor splice sites, exonic splicing enhancers and silencers, the polypyrimidine tract, and the branch point. Single‐nucleotide variants and small insertions/deletions in or near these elements can disrupt exon definition, activate cryptic splice sites, or weaken authentic splice sites, often leading to aberrant transcripts and disease. While variants affecting the essential ±1,2 dinucleotides are generally expected to impair splicing, variants outside these positions are harder to interpret because splicing regulation is context‐dependent and incompletely captured by current prediction models [10, 11, 12, 13, 14, 15].

More than 2,200 MYO7A variants have been reported, including over 160 that affect splicing. Variants at ±1,2 positions are usually classified as pathogenic (P) or likely pathogenic (LP) due to predictable loss of normal transcripts [16, 17, 18]. Here, extended splice region variants are defined as variants located within ±50 bp of exon–intron boundaries, excluding the canonical ±1,2 splice sites. In contrast, variants located in extended splice regions are substantially more challenging to interpret [12]. Although numerous MYO7A extended splice region variants have been catalogued in ClinVar and the Leiden Open Variation Database (LOVD), the majority remain classified as variants of uncertain significance (VUS). This diagnostic ambiguity hampers genetic counseling and limits clinical utility.

Functional RNA assays can directly address this gap. In particular, minigene splicing assays provide experimentally grounded evidence of splice disruption and are recognized within the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) and ClinGen SVI frameworks for variant interpretation [19]. Numerous studies have now deployed the minigene assay to evaluate splice‐variant function, substantially reducing diagnostic uncertainty and refining patient eligibility for gene‐targeted therapies [20, 21, 22, 23]. However, cohort‐scale functional reassessment of MYO7A extended splice region variants remains limited.

Here, we evaluate MYO7A extended splice region variants within ±50 bp of exon–intron boundaries identified through the Chinese Deafness Genetics Consortium (CDGC), which includes 22,125 individuals with hearing loss. (Note: the CDGC is a national cooperative network of medical genetics research on hearing impairment and related disorders in PR China. The nomenclature has been validated; the database is publicly accessible at https://gdcdb.net/). Our analyses focused on the 10,664 genetically unsolved individuals who underwent whole‐genome sequencing. We combined minigene assays with in silico splicing predictions to reclassify extended splice region variants and assess their clinical relevance. By generating functional evidence for variants that would otherwise remain VUS, this study aims to improve molecular diagnosis across MYO7A‐related phenotypes and to provide a practical framework for interpreting extended splice region variants in hearing‐loss genes more broadly.

Materials and methods

Ethics approval and patient consent

This study was approved by the Ethics Committee of West China Hospital (No. 2020‐606). Written informed consent was obtained from all participants or their legal guardians, including parental consent for minors.

Study cohort

The Chinese Deafness Genetics Consortium (CDGC), established in 2013, investigates the genetic basis of hearing loss and related syndromes. Participants were recruited from special education schools, pediatric rehabilitation centers, and hospitals across all 31 provincial‐level divisions in mainland PR China. In this study, MYO7A variants were identified through whole‐genome sequencing (WGS) from 10,664 undiagnosed individuals with hearing loss [pure tone audiometry (PTA) > 40 dB] who remained undiagnosed after screening of 201 known hearing loss genes. WGS was performed at the Genomic Center of West China Hospital Research Core Facility using the MGI DNBSEQT7 sequencer (BGI, Shenzhen, Guangdong, PR China).

Clinical information and peripheral blood samples were collected from probands and their family members. Diagnosis followed the clinical criteria for USH1B, including severe‐to‐profound bilateral sensorineural hearing loss, absence of vestibular responses, and presence of retinitis pigmentosa [9].

Variant selection and filtering

MYO7A variants were identified by WGS. We first retained rare variants with minor allele frequency (MAF) ≤ 0.0007. To maximize sensitivity, we performed a database‐guided salvage step by re‐including variants with MAF > 0.0007 if annotated as P or LP in the Deafness Variation Database (DVD) (https://deafnessvariationdatabase.org/, last accessed 30 January 2025), the Human Gene Mutation Database (HGMD) (https://www.hgmd.cf.ac.uk/ac/index.php, last accessed 30 January 2025), or ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/, last accessed 30 January 2025). We then prioritized extended splice region variants within ±50 bp of exon–intron boundaries (excluding ±1,2 positions) (Figure 1A). All candidates from both the rare‐variant set and the salvage step were re‐assessed de novo according to ACMG/AMP and ClinGen SVI recommendations [16, 17, 18, 19]; in the absence of functional evidence, most extended splice region variants were classified as VUS at baseline [16, 17, 18, 19].

Figure 1.

Figure 1

Strategy for selecting MYO7A extended splice region variants in the CDGC cohort. (A) Schematic representation of the strategy used for selecting MYO7A extended splice region variants from the Chinese Deafness Genetics Consortium (CDGC). Variants with a minor allele frequency (MAF) ≤ 0.07% and classified as likely pathogenic (LP) or pathogenic (P) in at least one database were included. (B) The distribution of MYO7A extended splice region variants in the study population, including the clinical phenotypes of selected probands. Probands with autosomal recessive (AR) or autosomal dominant (AD) inheritance patterns were then selected. (C) Splice region variants were included in the analytic set, followed by minigene assays for splicing analysis and ACMG‐based variant reclassification. DVD, Deafness Variation Database; HGMD, Human Gene Mutation Database; DP, depth of coverage; GQ, genotype quality; IVS, intervening sequence. *Two variants were in cis, and they were jointly analyzed for pathogenicity.

Minigene assay

To evaluate the functional impact of MYO7A extended splice region variants, we constructed minigene vectors containing exonic and adjacent intronic regions of the MYO7A gene. Specific primers for each variant were designed using NCBI Primer‐BLAST, and PCR amplification was performed using gDNA from both probands and controls as templates. The PCR products were purified; digested with restriction enzymes – Xho I (Takara, Kusatsu, Shiga, Japan; 1635), BamH I (Takara, 1605), EcoR V (Takara, 1612), Nde I (Takara, 1621), Nhe I (Takara, 1622); and cloned into the pSPL3 plasmid. The recombinant plasmids were then transformed into E. coli DH5α competent cells, selected for positive clones, and sequenced for verification (supplementary material, Table S1).

For functional analysis, HEK293T cells (ATCC, Manassas, VA, USA; CRL‐11268) were transfected with the recombinant minigene plasmids using Lipofectamine™ 3000 Reagent (Invitrogen, Carlsbad, CA, USA; L3000015). After 48 h of transfection, total RNA was extracted using the RNA Extraction Kit (Tiangen, Beijing, PR China; DP451). cDNA synthesis was performed using the cDNA Synthesis Kit (Takara, RR047A), followed by PCR amplification with exon‐specific primers (supplementary material, Table S1). PCR products were analyzed by 2% agarose gel electrophoresis; band intensities of grayscale value were quantified using Bio‐Rad Image Lab software (Version 6.1; Bio‐Rad, Hercules, CA, USA). Products of comparable size were TA‐cloned (Takara, 3270) and Sanger‐sequenced (Sangon Biotech, Shanghai, PR China) to estimate relative abundance. Splicing patterns were assessed by the same sequencing workflow, and splice variants were identified by aligning reference and mutant sequences in Geneious (Version 4.8.4; Biomatters Ltd, Auckland, New Zealand). For concise and efficient annotation of the splicing events, we adopted the nomenclature of Lopez‐Perolio et al (supplementary material, Table S2) [24].

Bioinformatics analysis

We used several bioinformatics tools to predict the impact of extended splice region variants on RNA splicing: SpliceAI (https://github.com/Illumina/SpliceAI) [25, 26], Pangolin (https://github.com/tkzeng/Pangolin) [27], MaxEntScan (https://www.genes.mit.edu/burgelab/maxent/Xmaxentscan_scoreseq.html) [28], and dbscSNV (https://sites.google.com/site/jpopgen/dbNSFP) [29].

To predict splice alterations, we utilized ENIGMA thresholds (https://enigmaconsortium.org) to assess the MaxEntScan scores and identify potential splice site disruptions [28]. Specifically, the diff score (Ref score − Alt score) was calculated, and variants with an Alt score below 6.2 were considered likely to affect splicing.

Variant classification

The ACMG/AMP guidelines for variant interpretation were applied to reclassify MYO7A extended splice region variants based on the experimental minigene assay results. Variants were classified as follows: P or LP: pathogenic or likely pathogenic variants identified by functional evidence of splicing disruption; or VUS: variants of uncertain significance, which did not show conclusive splicing alterations. Based on the 2015 ACMG/AMP standards and the 2023 ClinGen SVI splicing refinement, we reclassified all extended splice region variants [16, 17, 18, 19]. The PVS1 (RNA) and BP7_Strong (RNA) criteria were applied to variants identified through the minigene assay, with the assignment of pathogenicity grade strictly controlled. The PVS1 (RNA) and BP7_Strong (RNA) criteria from the ACMG/AMP guidelines were applied, with variants showing in‐frame deletions or frameshifts being classified as P or LP if they affected critical domains, such as the FERM2 or myosin motor domains. If the canonical splicing product was detectable but represented < 50% of total transcript signal by densitometry, the assay was considered to support a P or LP classification. The PP3 criterion was awarded to extended splice region variants with a default SpliceAI score greater than 0.2; this evidence was presented but not applied when minigene data already supported PVS1_Strong (RNA) or higher. Extended splice regions that map to functional domains and result exclusively in non‐truncating splicing defects were assigned the PM1 criterion. The PP4 criterion was applied exclusively when the patient's phenotype was definitively consistent with USH1.

Results

Selection and prioritization of MYO7A extended splice region variants

We analyzed MYO7A variation identified by WGS in the nationwide CDGC cohort. In total, 1,126 MYO7A variants were detected and subjected to stepwise filtering. Variants were first screened by sequencing quality and allele frequency. Rare variants with MAF ≤ 0.0007 constituted the primary candidate set. To maximize sensitivity and avoid missing clinically recognized alleles, we additionally applied a database‐guided salvage step: variants with MAF > 0.0007 were retained if annotated as P or LP in at least one public database (ClinVar, DVD, or HGMD). From the combined candidate pool, we prioritized extended splice region variants located within ±50 bp of exon–intron boundaries, excluding ±1,2 positions. This yielded 498 variants for downstream assessment (Figure 1A).

We next stratified candidates by presumed inheritance and clinical presentation (Figure 1B). For the autosomal dominant (AD) track, we initially identified AD‐compatible extended splice region variants meeting stringent rarity criteria (MAF ≤ 0.0002); after applying phenotype consistency and prioritization rules, three probands carrying three extended splice region variants were selected. For the autosomal recessive (AR) track, we prioritized probands carrying two or more MYO7A variants, including at least one extended splice region with a second variant previously classified as P or LP. This yielded eight probands for focused functional evaluation.

In total, 11 probands carrying 20 MYO7A variants, including 12 extended splice region variants (two of which were confirmed to be in cis by parental testing), were included in the analytic set (Figure 1C). Eight probands are highlighted in the main text and Figure 2 because their extended splice region variants were functionally supported for upgrade to P or LP; the remaining three probands, whose variants lacked sufficient evidence for upgrade, are presented in supplementary material, Figure S1.

Figure 2.

Figure 2

Clinical and genetic data of eight MYO7A‐related families. (A) Pedigree of MYO7A‐related patients. The clinical diagnosis is shown at the top, while the genotype of the proband is at the bottom. ‘Hearing loss?’ indicates probands for whom additional clinical information was unavailable due to loss to follow‐up. (B) Audiograms for USH1B patient HL‐01 show profound bilateral hearing loss and successful cochlear implantation (CI) in the right ear. The right panel corresponds to absent click‐ABR waves, indicating no response at 90 dB normal hearing level (nHL). A1‐Cz represents the response from the left ear, and A2‐Cz represents the response from the right ear, both measured with respect to the central electrode (Cz) on the scalp. The x‐axis represents time in milliseconds (ms). The y‐axis represents amplitude in microvolts (μV).

Clinical characteristics of variant carriers

Among the 11 enrolled probands, eight were reclassified as carrying P or LP extended splice region variants based on integrated functional and computational evidence. Seven of these eight probands were presumed to have an AR inheritance pattern, while one was presumed to have an AD inheritance pattern (Table 1 and Figure 2A). These eight families comprised three patients with USH1, two patients with DFNB2, and one patient with DFNA11; two additional probands had limited clinical data due to incomplete follow‐up. The DFNA11 patient exhibited late‐onset, progressive hearing loss starting at age 20 years. The two DFNB2 patients presented with congenital, profound hearing loss. All three USH1B patients showed congenital severe‐to‐profound hearing loss with bilateral myopia; two reported night blindness during their first decade, and two were diagnosed with retinitis pigmentosa (RP) during childhood. The parents of all USH1B patients reported poor balance in terms of development, and there was a significant delay in the onset of walking at 20 and 24 months of two USH1B patients, respectively (Figure 2B). The other three probands carried extended splice region variants that remained VUS after functional evaluation. One was presumed to have an AR inheritance pattern, while the other two were presumed to have an AD inheritance pattern (Table 1 and supplementary material, Figure S1A,B).

Table 1.

Clinical and genetic summary of probands with MYO7A extended splice region variants.

ID Clinical diagnosis HL severity Auditory onset age Visual symptom Visual onset age Vestibular symptom Variant 1 (cDNA/protein) † Variant 2 (if any) † Co‐segregation
HL‐01 USH1B Profound/profound Congenital RP 10 years DD c.6558+4A>G c.5552T>C, p.Leu1851Pro Yes
HL‐02 USH1B Severe/severe Congenital Myopia Unknown Equilibrium anomaly c.6052‐51_6052‐11del c.1642C>T, p.Gln548* Yes
HL‐03 USH1B Profound/profound Congenital RP, myopia Childhood DD [c.593‐8C>G, c.1201‐8C>G] c.5856+1G>A Yes
HL‐04 DFNB2 Profound/profound Congenital Normal / Normal c.6558+5G>C c.6051+1G>A Yes
HL‐05 DFNB2 Profound/profound Congenital Normal / Normal c.592+33_593‐31del c.6028G>A, p.Asp2010Asn NA
HL‐06 HL? ‡ Profound/profound NA NA NA NA c.1200G>A, p.Lys400= c.6027del, p.Asp2010Ilefs*31 NA
HL‐07 HL? ‡ Profound/profound NA NA NA NA c.1553A>G, p.Lys518Arg c.3696_3706del, p.Arg1232Serfs*72 NA
c.6182G>A, p.Arg2061Gln
HL‐08 DFNA11 Progressive Post‐lingual Normal / Normal c.1798‐3C>G / NA
HL‐S1 HL? ‡ NA Congenital NA NA NA c.3375+34G>A c.2075_2079delinsGTA, p.Val692Glyfs*18 NA
HL‐S2 HL? ‡ Severe/severe Post‐lingual Normal / Normal c.5043+3A>G / NA
HL‐S3 HL? ‡ Moderately severe/moderately severe Post‐lingual Normal / Normal c.3630+45C>T / NA

The “/” indicated that the proband did not have any visual abnormalities.

†

HGVS (Human Genome Variation Society) nomenclature using NM_000260.4 as a reference.

‡

HL? (hearing loss). Due to loss to follow‐up, the determination of other phenotypes was not possible.

DD, developmental delay; RP, retinitis pigmentosa.

Minigene assay results

Minigene assays were performed to evaluate the splicing effects of nine prioritized MYO7A extended splice region variants (Figures 3 and 4; supplementary material, Table S2). All tested variants resulted in at least one aberrant transcript. Notably, the variants c.592+33_593‐31del, c.6558+4A>G, and c.6558+5G>C caused multiple distinct splicing events, including exon skipping, intron retention, and altered splice site usage. The variant c.592+33_593‐31del produced the highest frequency of splicing disruptions, affecting multiple splice sites and causing exon 6 skipping and intron 6 retention.

Figure 3.

Figure 3

Splice defects induced by MYO7A acceptor site extended splice region variants in minigene assays. (A) MYO7A exons 5–8; (B) exons 11–13; (C) exons 16–17; (D) exons 45–46. For every assay and composite panel: Left: variant‐specific minigene construct: pSPL3 with SV40 promoter, ampicillin resistance gene (AmpR), pSPL3 vector‐specific exons (orange boxes), MYO7A exons (yellow boxes), and location of variants tested in each assay. Middle: RT‐PCR products resolved on agarose gel. From left to right: size standard; variant(s) minigene(s); wild‐type minigene; empty pSPL3; non‐transfected HEK293T; and no‐template control (NC). Numbered bands correspond to the schematic on the right. Note that not all splicing products identified can be visible, such as variant c.593‐8C>G. Right: schematic representation of observed splicing products, showing product lengths and percentage densitometry of all bands generated by the same variants.

Figure 4.

Figure 4

Splice defects induced by MYO7A donor site extended splice region variants in minigene assays. (A) MYO7A exons 10–12; (B) exons 12–14; (C) exons 47–49. For every assay and composite panel: Left: variant‐specific minigene construct: pSPL3 with SV40 promoter, ampicillin resistance gene (AmpR), pSPL3 vector‐specific exons (orange boxes), MYO7A exons (yellow boxes), and location of variants tested in each assay. Middle: RT‐PCR products resolved on agarose gel. From left to right, size standard, variant(s) minigene(s), wild‐type minigene, empty pSPL3, non‐transfected HEK293T, no‐template control (NC). Numbered bands correspond to the schematic on the right. Right: schematic representation of observed splicing products with product lengths and the percentage densitometry of all bands generated by the same variants. Note that for the variants 6558+4A>G and 6558+5G>C, the primer pair spans exon 49, which is the terminal exon of MYO7A.

Of the nine extended splice region variants tested, 66.67% (6/9) were located within the myosin motor domain, and 33.33% (3/9) were located within the FERM2 domain (supplementary material, Figure S2). Three variants resulted in frameshift mutations, while five variants caused in‐frame deletions, all occurring in the myosin motor or FERM2 domains.

Two wild‐type minigene constructs showed exon 11 or exon 26 skipping (Figure 4A and supplementary material, Figure S1C and Table S2). However, RT‐PCR of mouse cochleae at E16, P0, and P7 detected only full‐length transcripts (supplementary material, Figure S3), indicating that these minigene‐derived skipping events do not occur endogenously.

In silico splicing predictions

We compared the results of SpliceAI, Pangolin, MaxEntScan, and dbscSNV with the minigene assay results. For variants confirmed to cause aberrant splicing, SpliceAI and Pangolin yielded similar predictions, with high prediction scores (SpliceAI Δscore > 0.2, Pangolin score > 0.2) for all but c.1201‐8C>G (supplementary material, Table S3). Notably, when the SpliceAI evaluation window was extended to 500 bp, c.1201‐8C>G reached a score of 0.23, consistent with experimentally confirmed splicing alteration.

MaxEntScan predicted splicing disruption for the variant c.1201‐8C>G, which was consistent with the minigene assay results. However, MaxEntScan's detection range was narrower than those of SpliceAI and Pangolin, and it could not evaluate the splicing impact of small intronic deletions, such as the variants c.592+33_593‐31del and c.6052‐51_6052‐11del. For variants classified as benign or likely benign, all four tools correctly predicted a lack of significant splicing impact for variants with MAF > 0.03% (supplementary material, Table S4).

ACMG/AMP reclassification

Before functional testing, all extended splice region variants were classified as VUS based on computational evidence (e.g. SpliceAI‐supporting PP3). After minigene assays, we incorporated RNA‐based criteria for reclassification, applying PVS1 (RNA) to variants demonstrating splice disruption with predicted deleterious consequences and BP7_Strong (RNA) to variants showing no meaningful splicing impact. Variants that produced aberrant transcripts resulting in frameshifts or in‐frame deletions affecting critical functional domains were upgraded to P or LP. When canonical splicing products were still detectable, we used band densitometry to estimate residual normal transcripts; variants with less than 50% canonical product were assigned P/LP‐level functional evidence. For variants located in established functional domains that caused non‐truncating in‐frame splicing alterations, we additionally considered PM1.

Using this integrated framework, eight variants were reclassified as P or LP, while three remained VUS (Table 2, Figure 5, and supplementary material, Table S5). In general, variants meeting PM2 and supported by minigene evidence at or above a PVS1_Moderate (RNA) level were consistently classified as likely pathogenic (Figure 5). Although c.5043+3A>G generated two frameshift transcripts, its splicing pattern did not fully align with the canonical pathogenic mechanism proposed for DFNA11. Therefore, we conservatively applied PVS1_Supporting (RNA).

Table 2.

ACMG/AMP classification of MYO7A extended splice region variants.

c.HGVS* ACMG/AMP † PVS1 (RNA)/BP7 (RNA) ‡ PM1 § PM2 PM3 PP3/BP4 || PP4 ClinVar
c.6558+4A>G LP PVS1_Strong (RNA) NA + + PP3 + Not reported
c.6052‐51_6052‐11del LP PVS1_Strong (RNA) NA + + PP3 + Not reported
[c.593‐8C>G, c.1201‐8C>G]** LP PVS1_Moderate (RNA) NA + + PP3 + Not reported
c.6558+5G>C LP PVS1_Strong (RNA) NA + + PP3 + Not reported
c.592+33_593‐31del LP PVS1_Strong (RNA) NA + NA PP3 + Not reported
c.1200G>A LP PVS1_Strong (RNA) + + NA PP3 NA Not reported
c.1553A>G LP PVS1_Strong (RNA) NA + NA PP3 NA Not reported
c.1798‐3C>G LP PVS1_Strong (RNA) + + NA PP3 + VUS
c.3375+34G>A VUS BP7_Strong (RNA) NA + NA BP4 NA Not reported
c.5043+3A>G VUS PVS1_Support (RNA) NA + NA PP3 + Not reported
c.3630+45C>T VUS BP7_Strong (RNA) NA + NA BP4 NA Not reported

This table presents only the ACMG/AMP evidence that contributed to the final classification. For further details, see supplementary material, Tables S2–S5.

*

HGVS (Human Genome Variation Society) nomenclature using NM_000260.4 as a reference.

†

P, pathogenic; LP, likely pathogenic; VUS, variant of uncertain significance.

‡

PVS1 (RNA) and BP7 (RNA) code strength derived from minigene assay. For further details, see supplementary material, Table S2.

§

PM3 code restricted to variants located in key domains and causing in‐frame alterations.

||

We have applied PP3 and BP4 code based on the SpliceAI score (Δ score). For further details, see supplementary material, Table S3.

For comparative purposes, we summarize the ClinVar status of the MYO7A extended splice region variants under investigation (last accessed 25 October 2025).

**

The two variants are in cis.

Figure 5.

Figure 5

Summary of the ACMG classification for MYO7A extended splice region variants. The distribution of six distinct ACMG evidence codes across variant classifications. Stacked bars indicate the number of variants, and the six small squares beneath each bar correspond to the five ACMG evidence categories. These two variants were in cis and were therefore analyzed together for pathogenicity, resulting in an ACMG reclassification of LP.

Discussion

In this study, we systematically evaluated extended splice region variants, which are located within ±50 bp of exon–intron boundaries, in MYO7A in a large Chinese hearing‐loss cohort and reclassified eight variants from VUS to P or LP by integrating minigene splicing assays with in silico predictions. These findings support extended splice region variants as clinically important contributors to the allelic spectrum of USH1B, DFNB2, and DFNA11, and demonstrate that functional splicing assays can substantially reduce diagnostic uncertainty for MYO7A‐associated disease. To our knowledge, the RNA splicing outcomes reported here have not been previously documented for these specific variants in the literature or in ClinVar, highlighting the novelty and clinical utility of the dataset.

A central strength of this work is the use of a minigene framework to generate direct experimental evidence for splice disruption among extended splice region variants outside the ±1,2 positions. Importantly, this approach preserves the local genomic context relevant to splicing – authentic splice sites, flanking intronic sequence, and adjacent exons – while providing a controlled system for comparing wild‐type and mutant constructs [30, 31]. In practice, this enables scalable functional assessment when patient‐derived RNA is unavailable, which is common for historical samples and for disorders where the most relevant tissues (e.g. inner ear and retina) are inaccessible. Nevertheless, functional readouts should be interpreted within their clinical context as part of variant‐level interpretation and, where feasible, complemented by analyses using RNA from accessible patient‐derived tissues (e.g. blood or fibroblasts) or disease‐relevant models.

We also observed exon 11 and exon 26 skipping in two wild‐type minigene constructs. Because these isoforms have been reported as naturally occurring alternative splicing events in human samples (SpliceVault database), we describe them as alternative splicing. The absence of corresponding isoforms in our mouse cochlear RT‐PCR does not exclude their presence in human cochlea or retina, and may reflect tissue‐ and species‐specific splicing regulation. This highlights the importance of interpreting minigene results alongside external transcriptomic resources and validating key isoforms in disease‐relevant human tissues when possible.

Beyond variant classification, our data are consistent with the emerging view that spliceosome ‘spatial constraints’ can be a major determinant of splice failure, particularly for intronic deletions that leave canonical dinucleotides intact. For example, c.592+33_593‐31del occurs in a short intron and may reduce the donor‐to‐branch‐point architecture below a functional threshold, whereas c.6052‐51_6052‐11del is predicted to remove core intronic elements such as the polypyrimidine tract and branch point [32]. Together, these cases illustrate how extended splice region variants can be pathogenic via disruption of intronic architecture and auxiliary regulatory elements rather than direct alteration of consensus splice dinucleotides.

We further compared multiple in silico tools with experimental outcomes. SpliceAI and Pangolin were generally concordant with minigene results, but c.1201‐8C>G underscores a practical limitation: under default settings, a narrow prediction window can miss cryptic splice effects. Notably, expanding the SpliceAI window (±500 bp) increased the predicted score for c.1201‐8C>G above a commonly used interpretive threshold, aligning with the experimentally confirmed splice defect. These observations support using in silico tools for prioritization while emphasizing that experimental validation remains critical for extended splice region variants and for borderline computational predictions.

Finally, although our sample size is limited at the level of individual phenotypic subgroups, the variants upgraded to P or LP were enriched in established functional regions of MYO7A (notably the myosin motor and FERM2 domains), consistent with prior genotype–phenotype observations in MYO7A‐associated disease [33]. Larger datasets with more complete phenotyping will be required to refine domain‐level risk estimates and to distinguish the contributions of splice consequence (frameshift versus in‐frame) from protein domain context across USH1B, DFNB2, and DFNA11.

Several limitations should be acknowledged: (1) HEK293T cells were used for minigene assays, which may not fully replicate splicing patterns in patient tissues (e.g. cochlea or retina), which have distinct splicing landscapes. (2) Patient‐derived RNA was not available for the variants studied, limiting direct in vivo confirmation of isoform usage and abundance. (3) Deep‐intronic pseudoexon‐creating variants were outside the scope of this work and warrant dedicated investigation in MYO7A.

Our results demonstrate that integrating functional splice assays with computational prediction can resolve a substantial fraction of MYO7A extended splice region VUS variants, improve molecular diagnosis, and provide a generalizable framework for splicing‐variant interpretation in hereditary hearing loss and related syndromes [34, 35, 36].

Author contributions statement

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by TS and YH. Minigene assay was performed by XS. The review and editing of the manuscript and project administration were performed by JC. The first draft of the manuscript was written by TS, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Supporting information

Figure S1. Pedigrees and minigene results for patients carrying VUS extended splice region variants

Figure S2. Distribution of variants across MYO7A exons and domains

Figure S3. RT‐PCR analysis of cochlear tissue of mice at different time points

PATH-269-222-s001.docx (709.1KB, docx)

Table S1. List of primers for minigene construction and cDNA sequencing

Table S2. Summary of minigene assay results for MYO7A extended splice region variants

Table S3. Overview of MYO7A extended splice region variants and splice prediction scores

Table S4. Overview of reported benign MYO7A extended splice region variants and splice prediction scores

Table S5. ACMG/AMP classification of MYO7A extended splice region variants before and after functional validation

PATH-269-222-s002.xlsx (24.5KB, xlsx)

Acknowledgements

We extend our gratitude to the families for their participation and invaluable contributions to this study. This work was supported by the 1·3·5 Project for the Disciplines of Excellence – Interdisciplinary Innovation Project, West China Hospital, Sichuan University (No. ZYJC20002).

No conflicts of interest were declared.

Contributor Information

Yixin Zhao, Email: zhaoyixin16@163.com.

Jing Cheng, Email: chengjing@wchscu.cn.

Data availability statement

The datasets generated in this study have been included in the article. For enquiries or requests to access the data, please contact the corresponding author. All MYO7A extended splice region variants identified in this study will be publicly available in SpliceVarDB.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1. Pedigrees and minigene results for patients carrying VUS extended splice region variants

Figure S2. Distribution of variants across MYO7A exons and domains

Figure S3. RT‐PCR analysis of cochlear tissue of mice at different time points

PATH-269-222-s001.docx (709.1KB, docx)

Table S1. List of primers for minigene construction and cDNA sequencing

Table S2. Summary of minigene assay results for MYO7A extended splice region variants

Table S3. Overview of MYO7A extended splice region variants and splice prediction scores

Table S4. Overview of reported benign MYO7A extended splice region variants and splice prediction scores

Table S5. ACMG/AMP classification of MYO7A extended splice region variants before and after functional validation

PATH-269-222-s002.xlsx (24.5KB, xlsx)

Data Availability Statement

The datasets generated in this study have been included in the article. For enquiries or requests to access the data, please contact the corresponding author. All MYO7A extended splice region variants identified in this study will be publicly available in SpliceVarDB.


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