HapMap scanning of novel human minor histocompatibility antigens

Michi Kamei, Yasuhito Nannya, Hiroki Torikai, Takakazu Kawase, Kenjiro Taura, Yoshihiro Inamoto, Taro Takahashi, Makoto Yazaki, Satoko Morishima, Kunio Tsujimura, Koichi Miyamura, Tetsuya Ito, Hajime Togari, Stanley R. Riddell, Yoshihisa Kodera, Yasuo Morishima, Toshitada Takahashi, Kiyotaka Kuzushima, Seishi Ogawa, Yoshiki Akatsuka

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)


Minor histocompatibility antigens (mHags) are molecular targets of alloimmunity associated with hematopoietic stem cell transplantation (HSCT) and involved in graft-versus-host disease, but they also have beneficial antitumor activity. mHags are typically defined by host SNPs that are not shared by the donor and are immunologically recognized by cytotoxic T cells isolated from post-HSCT patients. However, the number of molecularly identified mHags is still too small to allow prospective studies of their clinical importance in transplantation medicine, mostly due to the lack of an efficient method for isolation. Here we show that when combined with conventional immunologic assays, the large data set from the International HapMap Project can be directly used for genetic mapping of novel mHags. Based on the immunologically determined mHag status in HapMap panels, a target mHag locus can be uniquely mapped through whole genome association scanning taking advantage of the unprecedented resolution and power obtained with more than 3 000 000 markers. The feasibility of our approach could be supported by extensive simulations and further confirmed by actually isolating 2 novel mHags as well as 1 previously identified example. The HapMap data set represents an invaluable resource for investigating human variation, with obvious applications in genetic mapping of clinically relevant human traits.

Original languageEnglish
Pages (from-to)5041-5048
Number of pages8
Issue number21
Publication statusPublished - 2009
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Immunology
  • Hematology
  • Cell Biology


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