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Association of gene coding variation and resting metabolic rate in a multi-ethnic sample of children and adults

Overview of attention for article published in BMC Obesity, April 2017
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Title
Association of gene coding variation and resting metabolic rate in a multi-ethnic sample of children and adults
Published in
BMC Obesity, April 2017
DOI 10.1186/s40608-017-0145-5
Pubmed ID
Authors

Jacklyn N. Hellwege, Digna R. Velez Edwards, Sari Acra, Kong Chen, Maciej S. Buchowski, Todd L. Edwards

Abstract

Resting metabolic rates (RMR) vary across individuals. Understanding the determinants of RMR could provide biological insight into obesity and its metabolic consequences such as type 2 diabetes and cardiovascular diseases. The present study measured RMR using reference standard indirect calorimetry and evaluated genetic variations from an exome array in a sample of children and adults (N = 262) predominantly of African and European ancestry with a wide range of ages (10 - 67 years old) and body mass indices (BMI; 16.9 - 56.3 kg/m(2) for adults, 15.1 - 40.6 kg/m2 for children). Single variant analysis for RMR identified suggestive loci on chromosomes 15 (rs74010762, TRPM1, p-value = 2.7 × 10-6), 1 (rs2358728 and rs2358729, SH3D21, p-values < 5.8x10-5), 17 (AX-82990792, DHX33, 5.5 × 10-5) and 5 (rs115795863 and rs35433829, C5orf33 and RANBP3L, p-values < 8.2 × 10-5). To evaluate the effect of low frequency variations with RMR, we performed gene-based association tests. Our most significant locus was SH3D21 (p-value 2.01 × 10-4), which also contained suggestive results from single-variant analyses. A further investigation of all variants within the reported genes for all obesity-related loci from the GWAS catalog found nominal evidence for association of body mass index (BMI- kg/m(2))-associated loci with RMR, with the most significant p-value at rs35433754 (TNKS, p-value = 0.0017). These nominal associations were robust to adjustment for BMI. The most significant variants were also evaluated using phenome-wide association to evaluate pleiotropy, and genetically predicted gene expression using the summary statistics implicated loci related to in obesity and body composition. These results merit further examination in larger cohorts of children and adults.

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Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Researcher 3 15%
Student > Bachelor 2 10%
Student > Doctoral Student 2 10%
Other 1 5%
Other 2 10%
Unknown 6 30%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Nursing and Health Professions 4 20%
Biochemistry, Genetics and Molecular Biology 2 10%
Immunology and Microbiology 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%
Unknown 8 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 April 2017.
All research outputs
#14,584,017
of 16,534,657 outputs
Outputs from BMC Obesity
#165
of 182 outputs
Outputs of similar age
#230,772
of 269,410 outputs
Outputs of similar age from BMC Obesity
#1
of 1 outputs
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