↓ Skip to main content

Multivariate meta-analysis of the association of G-protein beta 3 gene (GNB3) haplotypes with cardiovascular phenotypes

Overview of attention for article published in Molecular Biology Reports, January 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
22 Mendeley
Title
Multivariate meta-analysis of the association of G-protein beta 3 gene (GNB3) haplotypes with cardiovascular phenotypes
Published in
Molecular Biology Reports, January 2014
DOI 10.1007/s11033-014-3171-0
Pubmed ID
Authors

Tiago V. Pereira, Lilian Kimura, Yasushi Suwazono, Hideaki Nakagawa, Makoto Daimon, Toshihide Oizumi, Takamasa Kayama, Takeo Kato, Liao Li, Shufeng Chen, Dongfeng Gu, Wilfried Renner, Winfried März, Yoshiji Yamada, Pantelis G. Bagos, Regina C. Mingroni-Netto

Abstract

The objective of the present study was to review previous investigations on the association of haplotypes in the G-protein β3 subunit (GNB3) gene with representative cardiovascular risk factors/phenotypes: hypertension, overweight, and variation in the systolic and diastolic blood pressures (SBP and DBP, respectively) and as well as body mass index (BMI). A comprehensive literature search was undertaken in Pubmed, Web of Science, EMBASE, Biological Abstracts, LILACS and Google Scholar to identify potentially relevant articles published up to April 2011. Six genetic association studies encompassing 16,068 participants were identified. Individual participant data were obtained for all studies. The three most investigated GNB3 polymorphisms (G-350A, C825T and C1429T) were considered. Expectation-maximization and generalized linear models were employed to estimate haplotypic effects from data with uncertain phase while adjusting for covariates. Study-specific results were combined through a random-effects multivariate meta-analysis. After carefully adjustments for relevant confounding factors, our analysis failed to support a role for GNB3 haplotypes in any of the investigated phenotypes. Sensitivity analyses excluding studies violating Hardy-Weinberg expectations, considering gender-specific effects or more extreme phenotypes (e.g. obesity only) as well as a fixed-effects "pooled" analysis also did not disclose a significant influence of GNB3 haplotypes on cardiovascular phenotypes. We conclude that the previous cumulative evidence does not support the proposal that haplotypes formed by common GNB3 polymorphisms might contribute either to the development of hypertension and obesity, or to the variation in the SBP, DBP and BMI.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 5%
Brazil 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Professor 3 14%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Researcher 2 9%
Other 4 18%
Unknown 5 23%
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Agricultural and Biological Sciences 4 18%
Biochemistry, Genetics and Molecular Biology 2 9%
Neuroscience 2 9%
Sports and Recreations 1 5%
Other 2 9%
Unknown 5 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 February 2014.
All research outputs
#14,773,697
of 22,743,667 outputs
Outputs from Molecular Biology Reports
#999
of 2,887 outputs
Outputs of similar age
#182,697
of 307,444 outputs
Outputs of similar age from Molecular Biology Reports
#40
of 88 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,887 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 61% 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 307,444 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.