Research Article, J Appl Bioinform Comput Biol Vol: 4 Issue: 1
A Linkage Based Imputation Method for Missing SNP Markers in Association Mapping
| Yi Xu1, Yajun Wu2, Michael G Gonda3 and Jixiang Wu1,4* | |
| 1Department of Plant Science,South Dakota State University, Brookings, SD 57007, USA | |
| 2Department of Biology and Microbiology,South Dakota State University, Brookings, SD 57007, USA | |
| 3Department of Animal Sciences,South Dakota State University, Brookings, SD 57007, USA | |
| 4Department of Mathematics and Statistics,South Dakota State University, Brookings, SD 57007, USA | |
| Corresponding author : Jixiang Wu Department of Plant Science, Box 2140C, South Dakota State University, Brookings, SD 57007, USA Tel: 605-688-5947 E-mail: jixiang.wu@sdstate.edu |
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| Received: March 16, 2015 Accepted: July 17, 2015 Published: July 24, 2015 | |
| Citation: Xu Y, Wu Y, Gonda MG, Wu J (2015) A Linkage based Imputation Method for Missing SNP Markers in Association Mapping. J Appl Bioinform Comput Biol 4:1. doi:10.4172/2329-9533.1000115 |
Abstract
A Linkage based Imputation Method for Missing SNP Markers in Association Mapping
Association mapping has been widely used in detecting genetic markers associated with traits of importance in research areas such as plant breeding, human disease and animal breeding. In recent years, various useful statistical methods and computing tools have been developed for association mapping studies. One of the critical challenges in association mapping is missing markers.
