Decoding the genetic comorbidity network of Alzheimer's disease

Xueli Zhang (Corresponding Author), Dantong Li, Siting Ye, Shunming Liu, Shuo Ma, Min Li, Qiliang Peng, Lianting Hu, Xianwen Shang (Corresponding Author), Mingguang He (Corresponding Author), Lei Zhang (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Alzheimer's disease (AD) has emerged as the most prevalent and complex neurodegenerative disorder among the elderly population. However, the genetic comorbidity etiology for AD remains poorly understood. In this study, we conducted pleiotropic analysis for 41 AD phenotypic comorbidities, identifying ten genetic comorbidities with 16 pleiotropy genes associated with AD. Through biological functional and network analysis, we elucidated the molecular and functional landscape of AD genetic comorbidities. Furthermore, leveraging the pleiotropic genes and reported biomarkers for AD genetic comorbidities, we identified 50 potential biomarkers for AD diagnosis. Our findings deepen the understanding of the occurrence of AD genetic comorbidities and provide new insights for the search for AD diagnostic markers. Graphical Abstract: Study pipeline. (Figure presented.)
Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalBioData Mining
Volume17
Issue number40
DOIs
Publication statusPublished - 9 Oct 2024

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Genetics
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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