| Literature DB >> 35022556 |
Shin-Ya Nishio1, Shin-Ichi Usami2.
Abstract
The STRC gene, located on chromosome 15q15.3, is one of the genetic causes of autosomal recessive mild-to-moderate sensorineural hearing loss. One of the unique characteristics of STRC-associated hearing loss is the high prevalence of long deletions or copy number variations observed on chromosome 15q15.3. Further, the deletion of chromosome 15q15.3 from STRC to CATSPER2 is also known to be a genetic cause of deafness infertility syndrome (DIS), which is associated with not only hearing loss but also male infertility, as CATSPER2 plays crucial roles in sperm motility. Thus, information regarding the deletion range for each patient is important to the provision of appropriate genetic counselling for hearing loss and male infertility. In the present study, we performed next-generation sequencing (NGS) analysis for 9956 Japanese hearing loss patients and analyzed copy number variations in the STRC gene based on NGS read depth data. In addition, we performed Multiplex Ligation-dependent Probe Amplification analysis to determine the deletion range including the PPIP5K1, CKMT1B, STRC and CATSPER2 genomic region to estimate the prevalence of the STRC-CATSPER deletion, which is causative for DIS among the STRC-associated hearing loss patients. As a result, we identified 276 cases with STRC-associated hearing loss. The prevalence of STRC-associated hearing loss in Japanese hearing loss patients was 2.77% (276/9956). In addition, 77.1% of cases with STRC homozygous deletions carried a two copy loss of the entire CKMT1B-STRC-CATSPER2 gene region. This information will be useful for the provision of more appropriate genetic counselling regarding hearing loss and male infertility for the patients with a STRC deletion.Entities:
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Year: 2022 PMID: 35022556 PMCID: PMC8755823 DOI: 10.1038/s41598-021-04688-5
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
SNVs or small insertion/deletion variants identified in this study.
| Genomic coordinates (hg19) | dbSNP | Base change | Protein change | Allele number | SIFT | PP2 | REVEL | CADD | gnomAD | 8.3 K JPN | Pathogenicity |
|---|---|---|---|---|---|---|---|---|---|---|---|
| chr15:g.43903169A > T | – | c.3320 T > A | p.V1107D | 1 | D | B | 0.428 | 21.3 | 0 | 0 | VUS |
| chr15:g.43900289G > A | rs727503444 | c.3670C > T | p.R1224X | 2 | – | – | – | 41 | 0.000056 | 0 | Pathogenic |
| chr15:g.43897469 T > G | – | c.3923A > C | p.Q1308P | 2 | D | P | 0.382 | 17.3 | 0 | 0.0001 | VUS |
| chr15:g.43897010A > G | rs756526028 | c.3965 T > C | p.L1322P | 1 | D | P | 0.785 | 26.2 | 0.000004 | 0.0001 | VUS |
| chr15:g.43896218G > A | rs778909195 | c.4351C > T | p.R1451X | 1 | – | – | – | 37 | 0.000008 | 0 | Likely Pathogenic |
| chr15:g.43895513C > G | – | c.4472G > C | p.C1491S | 1 | D | P | 0.617 | 26.7 | 0 | 0 | VUS |
| chr15:g.43895467_43895468delinsTG | – | c.4517_4518delinsCA | p.L1506P | 2 | – | – | – | – | 0 | 0 | VUS |
| chr15:g.43895466G > A | rs747194679 | c.4519C > T | p.R1507W | 1 | D | B | 0.437 | 23.2 | 0.000028 | 0 | VUS |
| chr15:g.43893745_43893746del | – | c.4549_4550del | p.W1517Gfs*9 | 5 | – | – | – | – | 0 | 0 | Pathogenic |
| chr15:g.43893746delA | – | c.4549delT | p.W1517Gfs*19 | 9 | – | – | – | – | 0 | 0.0007 | Pathogenic |
| chr15:g.43893743C > T | – | c.4552G > A | p.G1518S | 11 | D | D | 0.531 | 27.0 | 0 | 0.0005 | Likely Pathogenic |
| chr15:g.43893742C > A | – | c.4553G > T | p.G1518V | 3 | D | D | 0.61 | 32 | 0 | 0 | VUS |
| chr15:g.43893725G > T | – | c.4570C > A | p.R1524S | 1 | T | B | 0.35 | 22.6 | 0 | 0.0006 | VUS |
| chr15:g.43893149C > A | rs147963245 | c.4765G > T | p.V1589F | 1 | T | B | 0.096 | 23.6 | 0.000004 | 0 | VUS |
| chr15:g.43893136G > A | rs754953738 | c.4778C > T | p.A1593V | 1 | D | D | 0.625 | 32 | 0.000020 | 0 | VUS |
| chr15:g.43892831G > A | – | c.4894C > T | p.Q1632X | 1 | – | – | – | 37 | 0 | 0 | Likely Pathogenic |
| chr15:g.43892277delC | – | c.5120delG | p.S1707Ifs*18 | 2 | – | – | – | – | 0 | 0 | Likely Pathogenic |
| chr15:g.43892240C > A | – | c.5157G > T | p.E1719D | 1 | T | B | 0.334 | 22.5 | 0 | 0 | VUS |
| chr15:g.43892212G > A | rs750132696 | c.5185C > T | p.R1729X | 1 | – | – | – | 37 | 0.000012 | 0.0001 | Likely Pathogenic |
| chr15:g.43892209G > A | rs139956283 | c.5188C > T | p.R1730X | 1 | – | – | – | 40 | 0.000025 | 0 | Likely Pathogenic |
| chr15:g.43892178 T > C | – | c.5219A > G | p.K1740R | 1 | T | B | 0.107 | 22.6 | 0 | 0.0001 | VUS |
gnomAD: allele frequency in the gnomAD database (https://gnomad.broadinstitute.org), 8.3 K JPN: allele frequency in the 8380 Japanese control population (https://jmorp.megabank.tohoku.ac.jp/202109/), PP2: PolyPhen2, T: tolerated, B: benign, D: deleterious or probably damaging P: possibly damaging, VUS: variant of uncertain significance. All variants are indicated on NM_153700.
Figure 1Averaged audiograms of STRC-associated hearing loss patients. The hearing threshold data were obtained from 159 probands and show the averaged hearing thresholds with standard deviation for every 10 years of age.
Figure 2Types of homozygous STRC gene deletion identified by MLPA analyses. In this study, we identified 11 types of CKMT1B-STRC-CATSPER2 gene deletion by NGS and MLPA analyses. NGS-based CNV analysis (left) was performed in accordance with our previous report[22]. Blue indicates the estimated copy number for each amplicon and red indicates the smoothing value for five relative amplicons. The vertical axis shows the copy number for each amplicon. MLPA (right) was performed using a commercially available MLPA probe (SALSA MLPA Probe mix P461-A1; MRC-Holland, Amsterdam, Netherlands). Box plots and error bars indicated the estimated copy number range and standard deviation for each MLPA probe, respectively. The vertical axis shows the copy number for each probe and the horizontal axis indicates the probes used in the MLPA analysis. *The MLPA probe set used in this study was only designed for exons 19, 23, 24 and 25 of the STRC gene and did not cover exons 1 to 18. Some patients carried CNVs in these exons and we could detect CNVs by NGS data analysis, but not by MLPA (such as Pattern 5 or 6), in these cases.