The genetics of type I and type II diabetes

analysis by recombinant DNA methodology.

M. A. Permutt, T. Andreone, John Chirgwin, S. Elbein, P. Rotwein, M. Orland

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Susceptibility to IDDM is linked to the HLA-D locus on the short arm of chromosome 6, a region believed to be involved in the process of communication between cells which determines immune responses. Presumably an HLA molecule encoded by this region, unable to present a particular antigenic pathogen to the immune system, is inherited. The HLA-DR locus is quite complex, however. The gene which codes for this defective molecule may be identified by a combination of use of monoclonal antibodies and cloned gene probes which specifically hybridize to various portions of this region. Investigators are searching for HLA-DR4 containing chromosomes in IDDM which show similar patterns of restriction enzyme polymorphism. Hopefully, complete structural analysis of these related sequences will provide information about the mechanisms which confer susceptibility to develop IDDM. A strong genetic component is involved in NIDDM evidenced by a high concordance in monozygotic twins. Nevertheless, there is much evidence of genetic heterogeneity. At the present time no clear cut genetic marker has been defined. The human insulin gene has been cloned and by Southern blot hybridization analysis of peripheral leukocyte DNA, the insulin gene locus is being evaluated as a possible contributor to the genetic defect. Population studies at the present time have not identified any particular polymorphic insulin allele associated with NIDDM. Population studies are complicated by heterogeneity of NIDDM, racial and ethnic differences, and heterogeneity of insulin alleles. Linkage analysis in family studies will provide an alternative approach to population studies to determine what role if any the insulin gene plays in the genetic component of this disease. Because NIDDM is heterogeneous and perhaps polygenic in nature, these linkage analyses in families with NIDDM can be extended to other genes when they are cloned such as that coding for the insulin receptor. The familial aggregation of diabetes has long been noted (see ref. 1 for review). In relatives of diabetics, the prevalence ranges from 10-30%, while it is variously estimated to be between 0.1-3% in the general population. But familial aggregation of a trait may be caused either by genetic or environmental factors. One approach to dissecting the contribution of these factors is the study of concordance in twins. Pyke and associates observed that overall identical twins always show a higher concordance rate than dizygotic twins, irrespective of their age of diagnosis. Furthermore, they noted that identical twins of younger onset are often discordant for diabetes while identical twins of older onset are usually concordant.(ABSTRACT TRUNCATED AT 400 WORDS)

Original languageEnglish
Pages (from-to)89-106
Number of pages18
JournalAdvances in Experimental Medicine and Biology
Volume189
StatePublished - 1985
Externally publishedYes

Fingerprint

Recombinant DNA
Medical problems
Type 2 Diabetes Mellitus
Monozygotic Twins
Genes
Insulin
Type 1 Diabetes Mellitus
Chromosomes
Population
Agglomeration
Alleles
HLA-D Antigens
HLA-DR4 Antigen
Dizygotic Twins
Inborn Genetic Diseases
Chromosomes, Human, Pair 6
Molecules
Genetic Heterogeneity
Immune system
Insulin Receptor

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

The genetics of type I and type II diabetes : analysis by recombinant DNA methodology. / Permutt, M. A.; Andreone, T.; Chirgwin, John; Elbein, S.; Rotwein, P.; Orland, M.

In: Advances in Experimental Medicine and Biology, Vol. 189, 1985, p. 89-106.

Research output: Contribution to journalArticle

Permutt, M. A. ; Andreone, T. ; Chirgwin, John ; Elbein, S. ; Rotwein, P. ; Orland, M. / The genetics of type I and type II diabetes : analysis by recombinant DNA methodology. In: Advances in Experimental Medicine and Biology. 1985 ; Vol. 189. pp. 89-106.
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AU - Rotwein, P.

AU - Orland, M.

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