Literature DB >> 20219401

Rapid and high throughput genotyping of the growth hormone receptor exon 3 deleted/full-length polymorphism using a tagSNP.

Camilla A M Glad1, Gudmundur Johannsson, Lena M S Carlsson, Per-Arne Svensson.   

Abstract

OBJECTIVE: The growth hormone (GH) receptor (GHR) exon 3 deleted/full-length (d3/fl) polymorphism has been suggested to affect GH sensitivity. The conventional genotyping method used for this polymorphism (multiplex PCR with fragment detection by gel electrophoresis) is laborious and requires large amount of DNA template. This has restricted analysis of this polymorphism to small cohorts. Our aim was to evaluate the accuracy of using a tagging single nucleotide polymorphism (tagSNP) as a marker for the d3/fl polymorphism.
DESIGN: The d3/fl polymorphism was analyzed using TaqMan SNP genotyping of the tagSNP rs6873545 in 183 patients with adult GH deficiency (GHD). The results were compared to d3/fl genotypes determined by the conventional method.
RESULTS: Genotyping success rate for the tagSNP was 100%. Frequency of the d3-allele was 24.0% (d3/d3 7.7%, d3/fl 32.2% and fl/fl 60.1%) and the results from the two different methods were identical. Moreover, three samples previously undetermined when genotyped using the conventional method were successfully analyzed using the tagSNP.
CONCLUSION: The GHR d3/fl polymorphism can be studied by TaqMan SNP genotyping. Use of the tagSNP facilitates investigations of the effects of the d3/fl polymorphism in large cohorts. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20219401     DOI: 10.1016/j.ghir.2010.02.004

Source DB:  PubMed          Journal:  Growth Horm IGF Res        ISSN: 1096-6374            Impact factor:   2.372


  5 in total

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Journal:  Endocrine       Date:  2013-06-28       Impact factor: 3.633

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Journal:  Sci Rep       Date:  2016-05-25       Impact factor: 4.379

5.  Genetic determinants of growth hormone and GH-related phenotypes.

Authors:  Erik Hallengren; Peter Almgren; Malin Svensson; Widet Gallo; Gunnar Engström; Margaretha Persson; Olle Melander
Journal:  BMC Genomics       Date:  2017-10-24       Impact factor: 3.969

  5 in total

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