Literature DB >> 11261927

Distribution of human kappa locus IGKV2-29 and IGKV2D-29 alleles in Swedish Caucasians and Hong Kong Chinese.

L Padyukov1, M Hahn-Zoric, S R Blomqvist, M Ulanova, S G Welch, A J Feeney, Y L Lau, L A Hanson.   

Abstract

Polymorphism in the IGKV2-29 gene was shown to decrease the recombination frequency in B cells and to be important for immune responses to Haemophilus influenzae type b polysaccharide. By using the combination of PCR and restriction enzyme mapping, the distribution of IGKV2D-29 and IGKV2-29 gene alleles was estimated in two geographically and ethnically different groups. We found that V2D-29*01 homozygous individuals were most common in Swedish Caucasians (82%), but less common in the Chinese population of Hong Kong (28%). The homozygous V2D-29*02 genotype was found in 19% Chinese, but only in one Caucasian (1%). The frequency of the heterozygous V2D-29*01/V2D-29*02 genotype was also higher in the Chinese population (46%) compared with the Caucasians (7%). V2-29*01 homozygosity was more frequent among Caucasians (85%) than among Chinese (19%). In contrast, homozygous V2-29*02 individuals were over-represented in the Chinese population (18%), whereas only one was found among Caucasians (1%). Heterozygous V2-29*01/V2-29*02 individuals were also more common in the Chinese (63%) than the Caucasian (15%) population. Most Caucasians had the combination of V2D-29*01/V2D-29*01+V2-29*01/V2-29*01 (74%), while the most common genotype for Chinese was V2D-29*01/V2D-29*02+ V2-29*01/V2-29*02 (41%). Analysis of the association of V2D-29*02 and V2-29*02 alleles demonstrated a high degree of linkage, as for V2D-29*01 with V2-29*01. These data show a significant difference in the distribution of IGKV2D-29 and IGKV2-29 alleles among Swedish Caucasians and Hong Kong Chinese. This may help to explain differences in the occurrence of H. influenzae type b infection in the two populations. Evaluated methods for IGKV2D-29 and IGKV2-29 allele detection can be used for the screening allele polymorphisms in other particular patient groups.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11261927     DOI: 10.1007/s002510000291

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  5 in total

1.  Genetic risk factors in lupus nephritis and IgA nephropathy--no support of an overlap.

Authors:  Mai Tuyet Vuong; Iva Gunnarsson; Sigrid Lundberg; Elisabet Svenungsson; Lars Wramner; Anders Fernström; Ann-Christine Syvänen; Lieu Thi Do; Stefan H Jacobson; Leonid Padyukov
Journal:  PLoS One       Date:  2010-05-10       Impact factor: 3.240

2.  Association of -1087 IL10 and -308 TNFA gene polymorphisms with serological markers of coeliac disease.

Authors:  M Hahn-Zoric; A M Hytönen; L A Hanson; L A Nilsson; L Padyukov
Journal:  J Clin Immunol       Date:  2003-07       Impact factor: 8.317

3.  OGRDB: a reference database of inferred immune receptor genes.

Authors:  William Lees; Christian E Busse; Martin Corcoran; Mats Ohlin; Cathrine Scheepers; Frederick A Matsen; Gur Yaari; Corey T Watson; Andrew Collins; Adrian J Shepherd
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

4.  Weighted Gene Co-expression Network Analysis Reveals Different Immunity but Shared Renal Pathology Between IgA Nephropathy and Lupus Nephritis.

Authors:  Ni-Ya Jia; Xing-Zi Liu; Zhao Zhang; Hong Zhang
Journal:  Front Genet       Date:  2021-03-29       Impact factor: 4.599

5.  Genetic variation in the transforming growth factor-beta1 gene is associated with susceptibility to IgA nephropathy.

Authors:  Mai Tuyet Vuong; Sigrid Lundberg; Iva Gunnarsson; Lars Wramner; Maria Seddighzadeh; Mirjana Hahn-Zoric; Anders Fernström; Lars A Hanson; Lieu Thi Do; Stefan H Jacobson; Leonid Padyukov
Journal:  Nephrol Dial Transplant       Date:  2009-03-03       Impact factor: 5.992

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.