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Haplotype analysis of the PPARγ Pro12Ala and C1431T variants reveals opposing associations with body weight

Overview of attention for article published in BMC Genomic Data, November 2002
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Title
Haplotype analysis of the PPARγ Pro12Ala and C1431T variants reveals opposing associations with body weight
Published in
BMC Genomic Data, November 2002
DOI 10.1186/1471-2156-3-21
Pubmed ID
Authors

Alex Doney, Bettina Fischer, David Frew, Alastair Cumming, David M Flavell, Michael World, Hugh E Montgomery, Douglas Boyle, Andrew Morris, Colin NA Palmer

Abstract

Variation at the PPARG locus may influence susceptibility to type 2 diabetes and related traits. The Pro12Ala polymorphism may modulate receptor activity and is associated with protection from type 2 diabetes. However, there have been inconsistent reports of its association with obesity. The silent C1431T polymorphism has not been as extensively studied, but the rare T allele has also been inconsistently linked to increases in weight. Both rare alleles are in linkage disequilibrium and the independent associations of these two polymorphisms have not been addressed. We have genotyped a large population with type 2 diabetes (n = 1107), two populations of non-diabetics from Glasgow (n = 186) and Dundee (n = 254) and also a healthy group undergoing physical training (n = 148) and investigated the association of genotype with body mass index. This analysis has demonstrated that the Ala12 and T1431 alleles are present together in approximately 70% of the carriers. By considering the other 30% of individuals with haplotypes that only carry one of these polymorphisms, we have demonstrated that the Ala12 allele is consistently associated with a lower BMI, whilst the T1431 allele is consistently associated with higher BMI. This study has therefore revealed an opposing interaction of these polymorphisms, which may help to explain previous inconsistencies in the association of PPARG polymorphisms and body weight.

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Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Switzerland 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Researcher 8 17%
Student > Bachelor 7 15%
Student > Master 5 10%
Student > Doctoral Student 5 10%
Other 8 17%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 27%
Biochemistry, Genetics and Molecular Biology 12 25%
Medicine and Dentistry 8 17%
Social Sciences 2 4%
Sports and Recreations 2 4%
Other 5 10%
Unknown 6 13%