Title :
A Refined and Heuristic Algorithm for LD tagSNPs Selection
Author :
Chen, Hailin ; Zhang, Zuping ; Xia, Jing
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Abstract :
Single Nucleotide Polymorphisms (SNPs) play an important role in Genome-wide Association Studies. To reduce genotyping costs, several LD tagSNPs selection algorithms have been proposed. In this paper, the advantages and disadvantages of current LD tagSNPs selection algorithms are analyzed. And a refined and heuristic algorithm HTag for LD tagSNPs selection is developed: (1) The tagSNPs selection procedure of Xu et al. is modified to improve selection performance. (2) A strategy to optimize the selection result is proposed. Using data downloaded from the HapMap Project, the performance of these methods is evaluated and our algorithm shows improvements in tagging efficiency.
Keywords :
biology computing; genomics; greedy algorithms; HapMap Project; LD tagSNP selection algorithm; genome-wide association studies; heuristic algorithm HTag; single nucleotide polymorphisms; Algorithm design and analysis; Bioinformatics; Couplings; Educational institutions; Genomics; Greedy algorithms; Partitioning algorithms; LD; SNPs; tagSNPs selection;
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2011 IEEE 10th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4577-2135-9
DOI :
10.1109/TrustCom.2011.234