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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages1601-1604
Number of pages4
Volume3
DOIs
StatePublished - Dec 1 2011
Event2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China
Duration: Oct 15 2011Oct 17 2011

Other

Other2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
CountryChina
CityShanghai
Period10/15/1110/17/11

Fingerprint

Genomics
Alzheimer Disease
Genes
Quantitative Trait Loci
Gene Expression Profiling
Bioinformatics
Computational Biology
Gene expression
Modulators
Dementia
Hippocampus
Gene Expression
Population

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Chen, Y., Zhao, Y., Wang, X., Li, Y., Ke, K., Yue, J., ... Lu, L. (2011). Preliminary study of Alzheimer's disease related genes by using genetical genomics approach. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 (Vol. 3, pp. 1601-1604). [6098539] https://doi.org/10.1109/BMEI.2011.6098539

Preliminary study of Alzheimer's disease related genes by using genetical genomics approach. / Chen, Ying; Zhao, Yinghong; Wang, Xiaodong; Li, Yi; Ke, Kaifu; Yue, Junming; Hori, Roderick; Lu, Lu.

Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. Vol. 3 2011. p. 1601-1604 6098539.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, Y, Zhao, Y, Wang, X, Li, Y, Ke, K, Yue, J, Hori, R & Lu, L 2011, Preliminary study of Alzheimer's disease related genes by using genetical genomics approach. in Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. vol. 3, 6098539, pp. 1601-1604, 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, Shanghai, China, 10/15/11. https://doi.org/10.1109/BMEI.2011.6098539
Chen Y, Zhao Y, Wang X, Li Y, Ke K, Yue J et al. Preliminary study of Alzheimer's disease related genes by using genetical genomics approach. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. Vol. 3. 2011. p. 1601-1604. 6098539 https://doi.org/10.1109/BMEI.2011.6098539
Chen, Ying ; Zhao, Yinghong ; Wang, Xiaodong ; Li, Yi ; Ke, Kaifu ; Yue, Junming ; Hori, Roderick ; Lu, Lu. / Preliminary study of Alzheimer's disease related genes by using genetical genomics approach. Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. Vol. 3 2011. pp. 1601-1604
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