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Audiology

Whole-exome sequencing for screening noise-induced hearing loss susceptibility genes

ORCID Icon, , , &
Pages 408-415 | Received 13 Feb 2023, Accepted 29 Mar 2023, Published online: 02 May 2023

References

  • Royster JD. Preventing noise-induced hearing loss. N C Med J. 2017;78(2):113–117.
  • Vlaming MSMG, MacKinnon RC, Jansen M, et al. Automated screening for high-frequency hearing loss. Ear Hear. 2014;35(6):667–679.
  • Mao HY, Chen Y. Noise-Induced hearing loss: updates on molecular targets and potential interventions. Neural Plast. 2021;2021:1–16.
  • Sliwinska-Kowalska M, Pawelczyk M. Contribution of genetic factors to noise-induced hearing loss: a human studies review. Mutat Res. 2013;752(1):61–65.
  • Ngiam KY, Khor IW. Big data and machine learning algorithms for health-care delivery. Lancet Oncol. 2019;20(5):E262–e273.
  • Henarejos-Castillo I, Aleman A, Martinez-Montoro B, et al. Machine learning-based approach highlights the use of a genomic variant profile for precision medicine in ovarian failure. JPM. 2021;11(7):609.
  • do Valle IF, Giampieri E, Simonetti G, et al. Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing data. BMC Bioinformatics. 2016;17(Suppl 12):341.
  • Kosub S. A note on the triangle inequality for the jaccard distance. Pattern Recogn Lett. 2019;120:36–38.
  • Han H, Guo XL, Yu H. Variable selection using mean decrease accuracy and mean decrease gini based on random Forest, 2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, 2016, pp. 219-224, doi: 10.1109/ICSESS.2016.7883053
  • AlKaabi LA, Ahmed LS, Al Attiyah MF, et al. Predicting hypertension using machine learning: findings from Qatar biobank study. PLOS One. 2020;15(10):e0240370.
  • Zhang YX, Chen FW, Yang AZ, et al. The disulfide bond Cys2724-Cys2774 in the C-terminal cystine knot domain of von Willebrand factor is critical for its dimerization and secretion. Thrombosis J. 2021;19(1):94.
  • Hong OS, Kerr MJ, Poling GL, et al. Understanding and preventing noise-induced hearing loss. Dis Mon. 2013;59(4):110–118.
  • Nagy I, Trexler M, Patthy L. The second von Willebrand type a domain of Cochlin has high affinity for type I, type II and type IV collagens. FEBS Lett. 2008;582(29):4003–4007.
  • Kim AR, Chang MY, Koo JW, et al. Novel TECTA mutations identified in stable sensorineural hearing loss and their clinical implications. Audiol Neurootol. 2015;20(1):17–25.
  • Drouet L, Hautefort C, Vitaux H, et al. Plasma serotonin is elevated in adult patients with sudden sensorineural hearing loss. Thromb Haemost. 2020;120(9):1291–1299.
  • Davis RR, Kozel P, Erway LC. Genetic influences in individual susceptibility to noise: a review. Noise Health. 2003;5(20):19–28.
  • Cai QF, Patel M, Coling D, et al. Transcriptional changes in adhesion-related genes are site-specific during noise-induced cochlear pathogenesis. Neurobiol Dis. 2012;45(2):723–732.
  • Mehta P, Bukov M, Wang CH, et al. A high-bias, low-variance introduction to machine learning for physicists. Phys Rep. 2019;810:1–124.
  • Kaczmarek E, Jamzad A, Imtiaz T, et al. Multi-Omic graph transformers for cancer classification and interpretation. Pac Symp Biocomput. 2022;27:373–384.