Journal of Applied Bioinformatics & Computational BiologyISSN: 2329-9533

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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: [email protected]
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.

Keywords: Association mapping; Barley; Forward selection; Imputation; Heading date; SNP

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