• DocumentCode
    557508
  • Title

    Preliminary study of Alzheimer´s disease related genes by using genetical genomics approach

  • Author

    Chen, Ying ; Zhao, Yinghong ; Wang, Xiaodong ; Li, Yi ; Ke, Kaifu ; Yue, Junming ; Hori, Roderick T. ; Lu, Lu

  • Author_Institution
    Jiangsu Key Lab. of Neuroregeneration, Nantong Univ., Nantong, China
  • Volume
    3
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    1601
  • Lastpage
    1604
  • Abstract
    Alzheimer´s disease (AD), the most common type of dementia is characterized by the progressive loss of specific neuronal populations and accumulation of the intraneuronal inclusions. The genetic factors contributing to AD are largely unknown. To date, we have collected 366 AD related genes based on bioinformatics analysis. Genetical genomics have been used to dissect the genetic modulators of these AD related genes by combination of gene expression profiling in the hippocampus of BXD RI mice in combination with linkage analysis. Of the 366 AD related genes, we identified 126 probe sets that target 76 genes that have a significant linkage score (LRS >; 15). Approximately 60% of these expression differences are caused by potential cis-acting quantitative trait loci (QTLs). The expression of the genes modulated by 30 of the putative cis-QTLs have a fold-difference higher than 1.7 between the parental strains of the BXD - C57BL/6J and DBA/2J. This study provided the baseline data for the accuracy analysis of genetic networks associated with AD that would be of great value for revealing the molecular mechanisms of AD.
  • Keywords
    bioinformatics; diseases; genomics; neurophysiology; Alzheimer´s disease related genes; BXD RI mice; bioinformatics; dementia; genetical genomics; hippocampus; intraneuronal inclusions; linkage analysis; neuronal population; quantitative trait loci; Bioinformatics; Diseases; Gene expression; Genomics; Probes; Strain; Alzheimer´s disease; expression QTL; genetical genomics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9351-7
  • Type

    conf

  • DOI
    10.1109/BMEI.2011.6098539
  • Filename
    6098539