Literature DB >> 7949227

Frequency analysis of HLA-DQA1 and HLA-DQB1 gene alleles and susceptibility to type 1 diabetes mellitus in Russian patients.

D K Gavrilov1, T L Kuraeva, I I Dedov, A S Sergeev, V V Nosikov.   

Abstract

The HLA-DQA1 and DQB1 genes have recently been recognized to be strong genetic markers of susceptibility to type 1 (insulin-dependent) diabetes mellitus. The Arg52 DQA1 and non-Asp57 DQB1 alleles of these genes correlate with the disease predisposition and the Asp57 DQB1 and non-Arg52 DQA1 alleles with disease protection. We investigated 113 patients with type 1 diabetes and 121 healthy subjects from the Russian population of Moscow using DNA amplification and dot-blot hybridization with sequence-specific oligonucleotides (SSO). Using conventional statistical methods we confirmed previous observations indicating the important role of the above-mentioned amino acid residues in susceptibility and resistance to type 1 diabetes. Relative risk values for all alleles and absolute risk for carriers of most predisposing allele combinations were calculated. The absolute risk for carriers of DQA1 and DQB1 gene alleles allowing for the formation of four possible 'diabetogenic' heterodimers on the surface of immunocompetent cells, regardless of the type of coding (cis or trans), was 2.54%, which is 13 times greater than the background risk for the Russian population--0.2% up to 30 years of age.

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Year:  1994        PMID: 7949227     DOI: 10.1007/bf00570540

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  24 in total

1.  [Genetic analysis of the structure of predisposition to diabetes mellitus. IV. Population-genetics study of two types of diabetes mellitus with onset at age 20-40].

Authors:  G Iu Babadzhanova; A S Sergeev; T L Kuraeva; A G Mazovetskiĭ
Journal:  Genetika       Date:  1990-11

2.  Enzymatic amplification of beta-globin genomic sequences and restriction site analysis for diagnosis of sickle cell anemia.

Authors:  R K Saiki; S Scharf; F Faloona; K B Mullis; G T Horn; H A Erlich; N Arnheim
Journal:  Science       Date:  1985-12-20       Impact factor: 47.728

Review 3.  Immunogenetics of insulin-dependent diabetes mellitus in humans.

Authors:  M Trucco; J S Dorman
Journal:  Crit Rev Immunol       Date:  1989       Impact factor: 2.214

Review 4.  Can we really predict IDDM?

Authors:  P J Bingley; E Bonifacio; E A Gale
Journal:  Diabetes       Date:  1993-02       Impact factor: 9.461

5.  The amino acid at position 57 of the HLA-DQ beta chain and susceptibility to develop insulin-dependent diabetes mellitus.

Authors:  K S Rønningen; T Iwe; T S Halstensen; A Spurkland; E Thorsby
Journal:  Hum Immunol       Date:  1989-11       Impact factor: 2.850

6.  Genetic analysis of HLA class II alleles and susceptibility to type 1 (insulin-dependent) diabetes mellitus in Japanese subjects.

Authors:  T Awata; T Kuzuya; A Matsuda; Y Iwamoto; Y Kanazawa
Journal:  Diabetologia       Date:  1992-05       Impact factor: 10.122

7.  Aspartic acid at position 57 of the HLA-DQ beta chain protects against type I diabetes: a family study.

Authors:  P A Morel; J S Dorman; J A Todd; H O McDevitt; M Trucco
Journal:  Proc Natl Acad Sci U S A       Date:  1988-11       Impact factor: 11.205

8.  [Use of the polymerase chain reaction for typing allelic variants of the human HLA-DQA1 by hybridization with oligonucleotide probes, specific for specific alleles].

Authors:  I V Ovchinnikov; D K Gavrilov; V V Nosikov; V G Debabov
Journal:  Mol Biol (Mosk)       Date:  1991 Sep-Oct

9.  HLA-DQB1 alleles and absence of Asp 57 as susceptibility factors of IDDM in Finland.

Authors:  H Reijonen; J Ilonen; M Knip; H K Akerblom
Journal:  Diabetes       Date:  1991-12       Impact factor: 9.461

10.  Hybrid HLA-DC antigens provide molecular evidence for gene trans-complementation.

Authors:  D J Charron; V Lotteau; P Turmel
Journal:  Nature       Date:  1984 Nov 8-14       Impact factor: 49.962

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  1 in total

1.  Full genotyping of a highly polymorphic human gene trait by time-resolved fluorescence resonance energy transfer.

Authors:  Edoardo Totè; Marco Lamperti; Maria Bondani; Domenico Salerno; Valeria Cassina; Luca Nardo
Journal:  PLoS One       Date:  2014-09-12       Impact factor: 3.240

  1 in total

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