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基因组数据中心(GDC):整合多组学和表型资源以揭示听力损失的遗传发病机制。

GDC: Integration of Multi-Omic and Phenotypic Resources to Unravel the Genetic Pathogenesis of Hearing Loss.

作者信息

Cheng Hui, Wang Xuegang, Zhong Mingjun, Geng Jia, Li Wenjian, Pei Kanglu, Wang Jing, Wang Lanchen, Lu Yu, Cheng Jing, Bu Fengxiao, Yuan Huijun

机构信息

Department of Oto-Rhino-Laryngology, West China Hospital of Sichuan University, Chengdu, 610000, China.

Institute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, 610044, China.

出版信息

Adv Sci (Weinh). 2025 Aug;12(29):e2408891. doi: 10.1002/advs.202408891. Epub 2025 Mar 16.

DOI:10.1002/advs.202408891
PMID:40089864
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12362786/
Abstract

Effective research and clinical application in audiology and hearing loss (HL) require the integration of diverse data, yet the absence of a dedicated database impedes understanding and insight extraction in HL. To address this, the Genetic Deafness Commons (GDC) is developed by consolidating extensive genetic and genomic data from 51 public databases and the Chinese Deafness Genetics Consortium. This repository comprises 5 983 613 variants across 201 HL genes, revealing the genetic landscape of HL and identifying six novel mutational hotspots within the DNA-binding domains of transcription factors. Comparative phenotypic analyses highlighted considerable disparities between human and mouse models. Among the 201 human HL genes, 133 exhibit hearing abnormalities in mice; 35 have been tested in mice without exhibiting a hearing loss phenotype; and 33 lack auditory testing data. Moreover, gene expression analyses in the cochleae of mice, humans, and rhesus macaques demonstrated a notable correlation (R 0.718-0.752). Utilizing gene expression, function, pathway, and phenotype data, a SMOTE-Random Forest model identified 18 candidate HL genes, including TBX2, newly confirmed as an HL gene. As a comprehensive and unified repository, the GDC advances audiology research and practice by improving data accessibility and usability, ultimately fostering deeper insights into hearing disorders.

摘要

听力学和听力损失(HL)方面的有效研究及临床应用需要整合多样的数据,但缺乏专门的数据库阻碍了对HL的理解和见解提取。为解决这一问题,遗传耳聋公共数据库(GDC)通过整合来自51个公共数据库和中国耳聋遗传学联盟的大量遗传和基因组数据而开发。该数据库包含201个HL基因中的5983613个变异,揭示了HL的遗传图谱,并在转录因子的DNA结合域内鉴定出六个新的突变热点。比较表型分析突出了人类和小鼠模型之间的显著差异。在201个人类HL基因中,133个在小鼠中表现出听力异常;35个在小鼠中进行了测试但未表现出听力损失表型;33个缺乏听觉测试数据。此外,对小鼠、人类和恒河猴耳蜗的基因表达分析显示出显著的相关性(R = 0.718 - 0.752)。利用基因表达、功能、通路和表型数据,一个SMOTE - 随机森林模型鉴定出18个候选HL基因,其中包括新确认的HL基因TBX2。作为一个全面统一的数据库,GDC通过提高数据的可及性和可用性推动了听力学研究与实践,最终促进了对听力障碍更深入的理解。

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