Literature DB >> 1679985

Use of DNA polymorphisms for genetic analysis of non-insulin dependent diabetes mellitus.

M A Permutt.   

Abstract

Polymorphisms occur on the average of one out of every 500 base pairs of DNA, and these polymorphisms provide useful markers for genetic analysis. Hundreds of RFLP markers have been mapped at regular intervals throughout the human genome. Diabetes genes have not been mapped with these markers, however, only one MODY family has been partially evaluated. This type of analysis is further complicated if NIDDM is multigenic and/or polygenic. RFLPs have been used to evaluate specific candidate loci for NIDDM, e.g. the insulin, insulin receptor and glucose transporter genes. For these analyses, population and family studies (limited in number) have suggested that none of these loci are major contributors to the genetic susceptibility to NIDDM. In no case, however, could a contribution of 10% or less of these loci be confidently excluded, because of variable penetrance, different degrees of linkage disequilibrium between RFLPs and putative mutations, the frequencies of the RFLPs in non-diabetic populations, and inadequate sample size. The conclusions are clear: either (1) the correct candidate gene(s) has not been found, or (2) sample sizes need to be increased by at least an order of magnitude, or (3) newer methods of analysis must be adopted (e.g. use of extended haplotypes and associations with subphenotypes, or screening with allele specific oligonucleotide probes, denaturing gradient gel electrophoresis or direct genomic sequencing of polymerase chain reaction amplified DNA).

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Year:  1991        PMID: 1679985     DOI: 10.1016/s0950-351x(05)80144-2

Source DB:  PubMed          Journal:  Baillieres Clin Endocrinol Metab        ISSN: 0950-351X


  5 in total

1.  A variant insulin promoter in non-insulin-dependent diabetes mellitus.

Authors:  L Olansky; C Welling; S Giddings; S Adler; R Bourey; G Dowse; S Serjeantson; P Zimmet; M A Permutt
Journal:  J Clin Invest       Date:  1992-05       Impact factor: 14.808

2.  1 + 1 = 3: Development and validation of a SNP-based algorithm to identify genetic contributions from three distinct inbred mouse strains.

Authors:  James D Gorham; Matthew S Ranson; Janebeth C Smith; Beverly J Gorham; Kristen-Ashley Muirhead
Journal:  J Biomol Tech       Date:  2012-12

3.  Simple tandem repeat DNA polymorphism in the human glycogen synthase gene is associated with NIDDM in Japanese subjects.

Authors:  H Kuroyama; T Sanke; S Ohagi; M Furuta; H Furuta; K Nanjo
Journal:  Diabetologia       Date:  1994-05       Impact factor: 10.122

4.  Indomethacin treatment causes loss of insulin action in rats: involvement of prostaglandins in the mechanism of insulin action.

Authors:  H K Wasner; S Weber; H J Partke; H Amini-Hadi-Kiashar
Journal:  Acta Diabetol       Date:  1994-12       Impact factor: 4.280

5.  Type 2 diabetes whole-genome association study in four populations: the DiaGen consortium.

Authors:  Jukka T Salonen; Pekka Uimari; Juha-Matti Aalto; Mia Pirskanen; Jari Kaikkonen; Boryana Todorova; Jelena Hyppönen; Veli-Pekka Korhonen; Janne Asikainen; Christopher Devine; Tomi-Pekka Tuomainen; Jan Luedemann; Matthias Nauck; Wolfgang Kerner; Richard H Stephens; John P New; William E Ollier; J Martin Gibson; Antony Payton; Michael A Horan; Neil Pendleton; Walt Mahoney; David Meyre; Jerôme Delplanque; Philippe Froguel; Oren Luzzatto; Benjamin Yakir; Ariel Darvasi
Journal:  Am J Hum Genet       Date:  2007-06-26       Impact factor: 11.025

  5 in total

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