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Analysis and application of SNP and haplotype in the human genome

  • Jing Li*
  • , Yu Chun Pan
  • , Yi Xue Li
  • , Tie Liu Shi
  • *Corresponding author for this work
  • Shanghai Jiao Tong University
  • CAS - Shanghai Institute of Nutrition and Health
  • Shanghai University

Research output: Contribution to journal › Article › peer-review

Abstract

Single nucleotide polymorphism (SNP) is the most common type of genetic variant in human genome. Haplotype, defined as a specific set of alleles observed on a single chromosome, or a part of a chromosome, has been an integral part of human genetics for decades. The goal of the international HapMap project is to determine the common patterns of DNA sequence variation and find the Tag SNPs representing all SNPs in the human genome. Some studies demonstrated that the analyses of haplotype defined by the grouping and interaction of several variants rather than any individual SNP correlated with complex phenotypes. Here, we describe the definitions of SNPs, genotype, haplotype and some information of the HapMap project. In this review, we summarize the current three haplotype-inference methods, including Clark' method, EM algorithm and Byes approach, and the different defining methods for haplotype block, as well as the methods for choosing tag SNPs and association studies of complex diseases using haplotype. The major public SNP databases and applications of SNPs and haplotype in common complex diseases and drug response are also introduced in the paper.

Original languageEnglish
Pages (from-to)879-889
Number of pages11
JournalActa Genetica Sinica
Volume32
Issue number8
StatePublished - Aug 2005
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Complex disease
  • Haplotype
  • Haplotype block
  • SNPs
  • Tag SNPs

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