The mining and construction of a knowledge base for gene-disease association in mitochondrial diseases.

Journal: Scientific reports
PMID:

Abstract

Mitochondrial diseases are a group of heterogeneous genetic metabolic diseases caused by mitochondrial DNA (mtDNA) or nuclear DNA (nDNA) gene mutations. Mining the gene-disease association of mitochondrial diseases is helpful for understanding the pathogenesis of mitochondrial diseases, for carrying out early clinical diagnosis for related diseases, and for formulating better treatment strategies for mitochondrial diseases. This project researched the relationship between genes and mitochondrial diseases, combined the Malacards, Genecards, and MITOMAP disease databases to mine the knowledge on mitochondrial diseases and genes, used database integration and the sequencing method of the phenolyzer tool to integrate disease-related genes from different databases, and sorted the disease-related candidate genes. Finally, we screened 531 mitochondrial related diseases, extracted 26,723 genes directly or indirectly related to mitochondria, collected 24,602 variant sites on 1474 genes, and established a mitochondrial disease knowledge base (MitDisease) with a core of genes, diseases, and variants. This knowledge base is helpful for clinicians who want to combine the results of gene testing for diagnosis, to understand the occurrence and development of mitochondrial diseases, and to develop corresponding treatment methods.

Authors

  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Junying Song
    Harrison International Peace Hospital, Hengshui, China.
  • Yunhai Chuai
    Department of Obstetrics and Gynecology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5, Nanmencang Hutong, Dongsishitiao, Dongcheng District, Beijing, 100027, China.
  • Fu Chen
    College of Pharmaceutical Sciences, Zhejiang University , Hangzhou, Zhejiang 310058, P. R. China.
  • Chunlan Song
    Department of Obstetrics and Gynecology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5, Nanmencang Hutong, Dongsishitiao, Dongcheng District, Beijing, 100027, China.
  • Mingming Shu
    Department of Obstetrics and Gynecology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5, Nanmencang Hutong, Dongsishitiao, Dongcheng District, Beijing, 100027, China.
  • Yayun Wang
    Beijing Geneworks Technology Co., Ltd., Beijing, China.
  • Yunfei Li
    Pharmaceutics Department, Institute of Medicinal Biotechnology, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, PR China.
  • Xinyu Zhai
    Navy Clinical Medical School, Anhui Medical University, No. 81, Meishan Road, Hefei, 230032, Anhui, China.
  • Shujie Han
    Navy Clinical Medical School, Anhui Medical University, No. 81, Meishan Road, Hefei, 230032, Anhui, China.
  • Shun Yao
    Navy Clinical Medical School, Anhui Medical University, No. 81, Meishan Road, Hefei, 230032, Anhui, China.
  • Kexin Shen
    South China University of Technology, Guangzhou, China.
  • Wei Shang
    Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • Lei Zhang
    Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.