Release 2.10.0, 16 December 2020

The database provides a centralised repository for human KIR sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.

This work was supported by National Institutes of Health Grant P01-CA-111412.

Latest Publications


Development of the KIR Database has been undertaken by the following individuals and funded by an NIH P01 grant, P01CA111412.

Anthony Nolan Research Institute
  • James Robinson
  • Dominic Barker
  • Xenia Georgiou
  • Michael Cooper
  • Steven GE Marsh
Anthony Nolan
Stanford University Medical School
  • Libby Guethlein
  • Peter Parham
University of Minnesota
  • Jeff Miller
  • Sarah Cooley
European Bioinformatics Institute
  • Paul Flicek


Where discrepancies have arisen between reported sequences and those stored in the databases, the original authors have been contacted where possible, and necessary amendments to published sequences have been incorporated. Future sequencing may identify errors and the Nomenclature Committees would welcome any evidence that helps to maintain the accuracy of the database. We therefore make no warranties regarding the correctness of the data, and disclaim liability for damages resulting from its use. We cannot provide unrestricted permission regarding the use of the data, as some data may be covered by patents or other rights. Any medical or genetic information is provided for research, educational and informational purposes only. It is not in any way intended to be used as a substitute for professional medical advice, diagnosis, treatment or care.

Further Information

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