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A Genome-Wide Association Study of the Metabolic Syndrome in Indian Asian Men

Overview of attention for article published in PLOS ONE, August 2010
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Title
A Genome-Wide Association Study of the Metabolic Syndrome in Indian Asian Men
Published in
PLOS ONE, August 2010
DOI 10.1371/journal.pone.0011961
Pubmed ID
Authors

Delilah Zabaneh, David J. Balding

Abstract

We conducted a two-stage genome-wide association study to identify common genetic variation altering risk of the metabolic syndrome and related phenotypes in Indian Asian men, who have a high prevalence of these conditions. In Stage 1, approximately 317,000 single nucleotide polymorphisms were genotyped in 2700 individuals, from which 1500 SNPs were selected to be genotyped in a further 2300 individuals. Selection for inclusion in Stage 1 was based on four metabolic syndrome component traits: HDL-cholesterol, plasma glucose and Type 2 diabetes, abdominal obesity measured by waist to hip ratio, and diastolic blood pressure. Association was tested with these four traits and a composite metabolic syndrome phenotype. Four SNPs reaching significance level p<5x10(-7) and with posterior probability of association >0.8 were found in genes CETP and LPL, associated with HDL-cholesterol. These associations have already been reported in Indian Asians and in Europeans. Five additional loci harboured SNPs significant at p<10(-6) and posterior probability >0.5 for HDL-cholesterol, type 2 diabetes or diastolic blood pressure. Our results suggest that the primary genetic determinants of metabolic syndrome are the same in Indian Asians as in other populations, despite the higher prevalence. Further, we found little evidence of a common genetic basis for metabolic syndrome traits in our sample of Indian Asian men.

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Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 2 2%
New Zealand 1 <1%
Russia 1 <1%
Nigeria 1 <1%
Unknown 104 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 26%
Researcher 17 15%
Student > Master 13 12%
Student > Bachelor 9 8%
Student > Doctoral Student 7 6%
Other 19 17%
Unknown 18 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 29%
Medicine and Dentistry 21 19%
Biochemistry, Genetics and Molecular Biology 16 14%
Nursing and Health Professions 5 4%
Chemistry 2 2%
Other 10 9%
Unknown 25 22%