Tools
Tools
Li, Qiao, Macgregor, Alexander J. 
ORCID: https://orcid.org/0000-0003-2163-2325 and Wang, Wenjia
(2011)
Novel Data Mining Approaches for Detecting Quantitative Trait Loci of Bone Mineral Density in Genome-Wide Linkage Analysis.
In:
Intelligent Data Engineering and Automated Learning - IDEAL 2011.
Springer, pp. 498-510.
Abstract
Haseman-Elston (H-E) regression is a commonly used conventional approach for detecting quantitative trait loci (QTLs), which regulate the quantitative phenotype based on the Identical-By-Descent (IBD) information between twins in Genome-wide scan. However, this approach only considers genetic effect at individual loci, but not any interaction between genes. A Pair-Wise H-E regression (PWH-E) and a Feature Screening Approach (FSA) are proposed in this paper to take gene-gene interaction into account when detecting QTLs. After testing these approaches with several series of simulation studies, they are applied to a real-world bone mineral density (BMD) dataset, and find three site specific sets of potential QTLs. Further comparison analyses show that our results not only corroborate the 14 findings from previous published studies, but also suggest 22 new QTLs of BMD.
| Item Type: | Book Section |
|---|---|
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Groups > Nutrition and Preventive Medicine Faculty of Medicine and Health Sciences > Research Groups > Musculoskeletal Medicine Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Science > Research Groups > Data Science and Statistics |
| Depositing User: | Users 2731 not found. |
| Date Deposited: | 03 Oct 2011 12:59 |
| Last Modified: | 22 Apr 2023 02:34 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/34930 |
| DOI: | 10.1007/978-3-642-23878-9_59 |
Actions (login required)
 |
View Item |