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Finding the missing heritability in pediatric obesity: the contribution of genome-wide complex trait analysis

Overview of attention for article published in International Journal of Obesity, March 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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2 news outlets
blogs
1 blog
twitter
28 X users

Citations

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88 Dimensions

Readers on

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154 Mendeley
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Title
Finding the missing heritability in pediatric obesity: the contribution of genome-wide complex trait analysis
Published in
International Journal of Obesity, March 2013
DOI 10.1038/ijo.2013.30
Pubmed ID
Authors

C H Llewellyn, M Trzaskowski, R Plomin, J Wardle

Abstract

Known single-nucleotide polymorphisms (SNPs) explain <2% of the variation in body mass index (BMI) despite the evidence of >50% heritability from twin and family studies, a phenomenon termed 'missing heritability'. Using DNA alone for unrelated individuals, a novel method (in a software package called Genome-wide Complex Trait Analysis, GCTA) estimates the total additive genetic influence due to common SNPs on whole-genome arrays. GCTA has made major inroads into explaining the 'missing heritability' of BMI in adults. This study provides the first GCTA estimate of genetic influence on adiposity in children. Participants were from the Twins Early Development Study (TEDS), a British twin birth cohort. BMI s.d. scores (BMI-SDS) were obtained from validated parent-reported anthropometric measures when children were about 10 years old (mean=9.9; s.d.=0.84). Selecting one child per family (n=2269), GCTA results from 1.7 million DNA markers were used to quantify the additive genetic influence of common SNPs. For direct comparison, a standard twin analysis in the same families estimated the additive genetic influence as 82% (95% CI: 0.74-0.88, P<0.001). GCTA explained 30% of the variance in BMI-SDS (95% CI: 0.02-0.59; P=0.02). These results indicate that 37% of the twin-estimated heritability (30/82%) can be explained by additive effects of multiple common SNPs, and provide compelling evidence for strong genetic influence on adiposity in childhood.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
United Kingdom 2 1%
Germany 1 <1%
Tunisia 1 <1%
Portugal 1 <1%
Unknown 143 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 19%
Student > Master 29 19%
Researcher 22 14%
Student > Bachelor 20 13%
Student > Doctoral Student 10 6%
Other 26 17%
Unknown 18 12%
Readers by discipline Count As %
Medicine and Dentistry 39 25%
Agricultural and Biological Sciences 28 18%
Biochemistry, Genetics and Molecular Biology 15 10%
Psychology 14 9%
Social Sciences 6 4%
Other 22 14%
Unknown 30 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 06 October 2014.
All research outputs
#944,409
of 25,186,033 outputs
Outputs from International Journal of Obesity
#478
of 4,516 outputs
Outputs of similar age
#6,515
of 203,201 outputs
Outputs of similar age from International Journal of Obesity
#7
of 59 outputs
Altmetric has tracked 25,186,033 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,516 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.3. This one has done well, scoring higher than 89% 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 203,201 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.