Literature DB >> 7813802

Type II diabetes: clinical aspects of molecular biological studies.

R C Turner1, A T Hattersley, J T Shaw, J C Levy.   

Abstract

Type II diabetes remains a genetic nightmare. The major problem is identifying suitable pedigrees, sib-pairs, and populations for study. Segregation analysis data suggest that type II diabetes is likely to be polygenic, although one or more major genes could also be involved. This and the high prevalence of diabetes affect the strategies for searching for genetic mutations. Linkage analysis in classical type II diabetes pedigrees is unlikely to be successful. In addition, affected sib-pair analysis is limited because both parents are often affected, leading to bilineal inheritance. Sib-pairs with both parents alive are unusual, so identity by descent analysis is rarely feasible. Strategies to reduce bilineal inheritance by identifying sib-pairs with one known nondiabetic parent or with the second sibling having mild subclinical diabetes may be worthwhile. Identification of individuals or pedigrees with an unusual phenotype that suggests a single gene disorder, such as maturity-onset diabetes of the young, will continue to be important, for this allows linkage analysis with markers near candidate genes and exclusion mapping of chromosomal regions using highly polymorphic markers. Population association studies with candidate genes can detect mutations that have a minor role in the majority proportion of diabetic subjects, but large numbers are required and great care must be taken to exclude ethnic group differences between the diabetic and normoglycemic populations. The study of small inbred communities might be helpful because they may have fewer diabetogenic genes than outbred populations, and this would increase the power of sib-pair and population association studies. Direct screening for mutations in candidate genes (with single-strand conformation polymorphism or heteroduplex screening or with direct sequencing) in patients with the appropriate pathophysiological abnormality can be a successful strategy. The identification of well-defined diabetic pedigrees, sib-pairs, and suitable matched diabetic and nondiabetic populations will be key to the discovery of the genes for diabetes.

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Year:  1995        PMID: 7813802     DOI: 10.2337/diab.44.1.1

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  10 in total

Review 1.  Insulin action in skeletal muscle from patients with NIDDM.

Authors:  J R Zierath; A Krook; H Wallberg-Henriksson
Journal:  Mol Cell Biochem       Date:  1998-05       Impact factor: 3.396

2.  Genomewide search for type 2 diabetes susceptibility genes in four American populations.

Authors:  M G Ehm; M C Karnoub; H Sakul; K Gottschalk; D C Holt; J L Weber; D Vaske; D Briley; L Briley; J Kopf; P McMillen; Q Nguyen; M Reisman; E H Lai; G Joslyn; N S Shepherd; C Bell; M J Wagner; D K Burns
Journal:  Am J Hum Genet       Date:  2000-05-02       Impact factor: 11.025

Review 3.  Exercise in the management of non-insulin-dependent diabetes mellitus.

Authors:  H Wallberg-Henriksson; J Rincon; J R Zierath
Journal:  Sports Med       Date:  1998-01       Impact factor: 11.136

4.  Haplotype analysis of NAD(P)H oxidase p22 phox polymorphisms in end-stage renal disease.

Authors:  Kent Doi; Eisei Noiri; Akihide Nakao; Toshiro Fujita; Shuzo Kobayashi; Katsushi Tokunaga
Journal:  J Hum Genet       Date:  2005-10-08       Impact factor: 3.172

Review 5.  Pathophysiology of non-insulin-dependent diabetes and the search for candidate genes: dangerous liaisons?

Authors:  F Barbetti
Journal:  Acta Diabetol       Date:  1996-12       Impact factor: 4.280

6.  Searching for NIDDM susceptibility genes: studies of genes with triplet repeats expressed in skeletal muscle.

Authors:  K Yamagata; J Takeda; S Menzel; X Chen; S Eng; L R Lim; P Concannon; C L Hanis; R S Spielman; N J Cox; G I Bell
Journal:  Diabetologia       Date:  1996-06       Impact factor: 10.122

7.  Goettingen Minipigs (GMP): Comparison of Two Different Models for Inducing Diabetes.

Authors:  Armin Strauss; Vasily Moskalenko; Christian Tiurbe; Irina Chodnevskaja; Stephan Timm; Verena A Wiegering; Christoph-Thomas Germer; Karin Ulrichs
Journal:  Diabetol Metab Syndr       Date:  2012-03-05       Impact factor: 3.320

Review 8.  Monogenic models: what have the single gene disorders taught us?

Authors:  Tomasz Klupa; Jan Skupien; Maciej T Malecki
Journal:  Curr Diab Rep       Date:  2012-12       Impact factor: 4.810

9.  The use of proteomics in identifying differentially expressed serum proteins in humans with type 2 diabetes.

Authors:  Tea Sundsten; Michael Eberhardson; Michael Göransson; Peter Bergsten
Journal:  Proteome Sci       Date:  2006-12-12       Impact factor: 2.480

10.  Computational and structural evidence for neurotransmitter-mediated modulation of the oligomeric states of human insulin in storage granules.

Authors:  Vladimír Palivec; Cristina M Viola; Mateusz Kozak; Timothy R Ganderton; Květoslava Křížková; Johan P Turkenburg; Petra Haluŝková; Lenka Žáková; Jiří Jiráĉek; Pavel Jungwirth; Andrzej M Brzozowski
Journal:  J Biol Chem       Date:  2017-03-27       Impact factor: 5.157

  10 in total

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