Genetic regulatory network analysis for Myoc based on genetical genomics approach

Hong Lu, Hui Chen, Hao Chen, Lu Lu, Huaijin Guan

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

1 Citation (Scopus)

Abstract

Numerous studies have shown that the myocilin gene (MYOC) plays an important role in primary open-angle glaucoma (POAG) and high myopia. However, little is known about the genetic regulatory network. In this study, we combined array analysis and quantitative trait loci (QTL) mapping approaches (genetical genomics) to characterize the expression variation and the regulatory network of Myoc in the eye of BXD recombinant inbred (RI) mice. Our analysis found that the expression level of Myoc exhibited much variation in the eye across the BXD RI strains and between the parental strains, C57BL/6J, and DBA/2J. Interval mapping results showed that expression quantitative trait loci (eQTL) mapping for Myoc had a significant linkage score (LRS) of 21.775. Moreover, the QTL was mapped in another chromosome of Myoc as a trans-acting QTL. We identified Olfml2a as a candidate upstream gene of Myoc. Gene Ontology (GO) analysis was carried out and the gene coregulatory network was constructed. These results demonstrate that the genetical genomics approach provides a powerful tool for constructing pathways that contribute to complex traits, such as POAG and high myopia.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Pages2201-2205
Number of pages5
Volume5
DOIs
StatePublished - Dec 1 2010
Event3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China
Duration: Oct 16 2010Oct 18 2010

Other

Other3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
CountryChina
CityYantai
Period10/16/1010/18/10

Fingerprint

Quantitative Trait Loci
Electric network analysis
Genomics
Genes
Myopia
Gene Ontology
Gene Regulatory Networks
Chromosomes
Ontology
Primary Open Angle Glaucoma

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Lu, H., Chen, H., Chen, H., Lu, L., & Guan, H. (2010). Genetic regulatory network analysis for Myoc based on genetical genomics approach. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 (Vol. 5, pp. 2201-2205). [5639531] https://doi.org/10.1109/BMEI.2010.5639531

Genetic regulatory network analysis for Myoc based on genetical genomics approach. / Lu, Hong; Chen, Hui; Chen, Hao; Lu, Lu; Guan, Huaijin.

Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. Vol. 5 2010. p. 2201-2205 5639531.

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

Lu, H, Chen, H, Chen, H, Lu, L & Guan, H 2010, Genetic regulatory network analysis for Myoc based on genetical genomics approach. in Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. vol. 5, 5639531, pp. 2201-2205, 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, Yantai, China, 10/16/10. https://doi.org/10.1109/BMEI.2010.5639531
Lu H, Chen H, Chen H, Lu L, Guan H. Genetic regulatory network analysis for Myoc based on genetical genomics approach. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. Vol. 5. 2010. p. 2201-2205. 5639531 https://doi.org/10.1109/BMEI.2010.5639531
Lu, Hong ; Chen, Hui ; Chen, Hao ; Lu, Lu ; Guan, Huaijin. / Genetic regulatory network analysis for Myoc based on genetical genomics approach. Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. Vol. 5 2010. pp. 2201-2205
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