有哪些信誉好的足球投注网站accelerating haplotype-based genome-wide association study using perfect phylogeny and phase-known reference data加速haplotype-based全基因组关联研究使用完美的发展史和phase-known参考数据.pdfVIP
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accelerating haplotype-based genome-wide association study using perfect phylogeny and phase-known reference data加速haplotype-based全基因组关联研究使用完美的发展史和phase-known参考数据
Accelerating Haplotype-Based Genome-Wide Association
Study Using Perfect Phylogeny and Phase-Known
Reference Data
1,2 . 1,2. 3 4,5 6 1,2,5
Yungang He * , Cong Li , Christopher I. Amos , Momiao Xiong , Hua Ling , Li Jin *
1 Department of Computational Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of
Sciences, Shanghai, China, 2 Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Shanghai,
China, 3 Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America, 4 Human Genetics Center, University of
Texas School of Public Health, Houston, Texas, United States of America, 5 State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of
Contemporary Anthropology, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China, 6 Center for Inherited Disease Research,
Johns Hopkins University, Baltimore, Maryland, United States of America
Abstract
The genome-wide association study (GWAS) has become a routine approach for mapping disease risk loci with the advent
of large-scale genotyping technologies. Multi-allelic haplotype markers can provide superior power compared with single-
SNP markers in mapping disease loci. However, the application of haplotype-based analysis to GWAS is usually bottlenecked
by prohibitive time cost for haplotype inference, also known as phasing. In this study, we developed an efficient approach
to haplotype-based analysis in GWAS. By using a reference panel, our method accelerated the phasing process and reduced
the potential bi
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