Journal article
Polymorphic Alu insertions and their associations with MHC class I alleles and haplotypes in the Northeastern Thais
Annals of Human Genetics, Vol.69(4), pp.364-372
2005
Abstract
Polymorphic Alu insertions (POALINs) are known to contribute to the strong polymorphic nature of the Major Histocompatibility Complex (MHC). Previous population studies on MHC POALINs were limited to only Australian Caucasians and Japanese. Here, we report on the individual insertion frequency of the five POALINs within the MHC class I region, their HLA-A and B associations, and the three and four locus alpha block POALIN haplotype frequencies in the Northeastern (NE) Thai population. Of the five POALINs, the lowest frequency was 0.018 for AluyHF and the highest frequency was 0.292 for AluyHJ and AluyHG. The strongest positive associations between the POALINs and HLA class I alleles was between AluyMICB and HLA-B* 57, AluyHJ and HLA-A* 24 and HLA-A* 01, and AluyHG and HLA-A* 02, supporting previous findings in Caucasians and Japanese. Single POALIN haplotypes were found more frequently than multiple POALIN haplotypes. However, of the seven different POALIN haplotypes within the MHC alpha block, there were only two significant differences between the NE Thais, Caucasians and Japanese. This study confirms that the MHC POALINs are in linkage disequilibrium with HLA-A and -B alleles and that there are significant frequency differences for some of the POALINs when compared between NE Thai, Caucasians and Japanese.
Details
- Title
- Polymorphic Alu insertions and their associations with MHC class I alleles and haplotypes in the Northeastern Thais
- Authors/Creators
- D.S. Dunn (Author/Creator)A.V. Romphruk (Author/Creator)C. Leelayuwat (Author/Creator)M. Bellgard (Author/Creator)J.K. Kulski (Author/Creator)
- Publication Details
- Annals of Human Genetics, Vol.69(4), pp.364-372
- Publisher
- Blackwell Publishing
- Identifiers
- 991005543200807891
- Copyright
- © University College London 2005.
- Murdoch Affiliation
- Centre for Comparative Genomics
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
260 File views/ downloads
47 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.6 Immunology
- 1.6.607 MHC Diversity
- Web Of Science research areas
- Genetics & Heredity
- ESI research areas
- Molecular Biology & Genetics