↓ Skip to main content

Effect of ID ACE gene polymorphism on dietary composition and obesity-related anthropometric parameters in the Czech adult population

Overview of attention for article published in Genes & Nutrition, July 2009
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
39 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Effect of ID ACE gene polymorphism on dietary composition and obesity-related anthropometric parameters in the Czech adult population
Published in
Genes & Nutrition, July 2009
DOI 10.1007/s12263-009-0130-9
Pubmed ID
Authors

Julie Bienertova-Vasku, Petr Bienert, Lenka Sablikova, Lenka Slovackova, Martin Forejt, Zlata Piskackova, Lenka Kucerova, Katerina Heczkova, Zuzana Brazdova, Anna Vasku

Abstract

The aim of this study was to investigate the possible associations between insertion/deletion (ID) polymorphism in angiotensin-converting enzyme (ACE) (dbSNP rs 4646994) with the food intake and body composition in the Czech non-obese, obese and extremely obese populations. A total of 453 various-weighted individuals were enrolled in the study and were according to their BMI assigned into following subgroups, such as obese (30 </= BMI < 40), morbidly obese (BMI >/=40) and non-obese (20 < BMI < 30) subjects. Both the obese cases and the non-obese controls underwent the identical subset of standardized examinations (BMI, % body fat, waist-to-hip ratio, skin fold thickness, native dietary composition examined by 7-day food records, etc.). No significant case-control differences in genotype distributions or allelic frequencies were observed. There were no differences in genotype frequencies between males and females either. The prevalence of obesity was significantly higher among subjects with the II genotype (42 %) when compared with those with DD (36%) and those with ID (37%) genotypes (P = 0.04). When compared with carbohydrate intake in the whole studied cohort, the odds ratios of carrying the DD allele in the morbidly obese cohort were 0.84 (95% CI 0.34, 2.10, P = 0.17), 0.27 (0.07, 0.98, P = 0.02), and 4.25 (1.44, 12.51, P = 0.005) in those individuals consuming <210, 210-260, and >260 g of carbohydrates/day, respectively. Based on our findings, the ID ACE polymorphism could represent a gene modulator of carbohydrate intake in morbidly obese Czech population; the strong significant effect of DD genotype was observed in the phenotypes of extreme obesity with the highest carbohydrate intake.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 18%
Researcher 6 15%
Other 4 10%
Lecturer 3 8%
Student > Doctoral Student 3 8%
Other 7 18%
Unknown 9 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 21%
Biochemistry, Genetics and Molecular Biology 6 15%
Medicine and Dentistry 5 13%
Social Sciences 3 8%
Sports and Recreations 2 5%
Other 4 10%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2019.
All research outputs
#13,079,779
of 22,794,367 outputs
Outputs from Genes & Nutrition
#175
of 388 outputs
Outputs of similar age
#90,130
of 110,041 outputs
Outputs of similar age from Genes & Nutrition
#6
of 9 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 110,041 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.