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Variability in the Heritability of Body Mass Index: A Systematic Review and Meta-Regression

Overview of attention for article published in Frontiers in endocrinology, January 2012
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 13,285)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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18 news outlets
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2 blogs
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156 X users
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1 Facebook page
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1 Redditor
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1 YouTube creator

Citations

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490 Dimensions

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496 Mendeley
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Title
Variability in the Heritability of Body Mass Index: A Systematic Review and Meta-Regression
Published in
Frontiers in endocrinology, January 2012
DOI 10.3389/fendo.2012.00029
Pubmed ID
Authors

Cathy E. Elks, Marcel den Hoed, Jing Hua Zhao, Stephen J. Sharp, Nicholas J. Wareham, Ruth J. F. Loos, Ken K. Ong

Abstract

Evidence for a major role of genetic factors in the determination of body mass index (BMI) comes from studies of related individuals. Despite consistent evidence for a heritable component of BMI, estimates of BMI heritability vary widely between studies and the reasons for this remain unclear. While some variation is natural due to differences between populations and settings, study design factors may also explain some of the heterogeneity. We performed a systematic review that identified 88 independent estimates of BMI heritability from twin studies (total 140,525 twins) and 27 estimates from family studies (42,968 family members). BMI heritability estimates from twin studies ranged from 0.47 to 0.90 (5th/50th/95th centiles: 0.58/0.75/0.87) and were generally higher than those from family studies (range: 0.24-0.81; 5th/50th/95th centiles: 0.25/0.46/0.68). Meta-regression of the results from twin studies showed that BMI heritability estimates were 0.07 (P = 0.001) higher in children than in adults; estimates increased with mean age among childhood studies (+0.012/year, P = 0.002), but decreased with mean age in adult studies (-0.002/year, P = 0.002). Heritability estimates derived from AE twin models (which assume no contribution of shared environment) were 0.12 higher than those from ACE models (P < 0.001), whilst lower estimates were associated with self reported versus DNA-based determination of zygosity (-0.04, P = 0.02), and with self reported versus measured BMI (-0.05, P = 0.03). Although the observed differences in heritability according to aspects of study design are relatively small, together, the above factors explained 47% of the heterogeneity in estimates of BMI heritability from twin studies. In summary, while some variation in BMI heritability is expected due to population-level differences, study design factors explained nearly half the heterogeneity reported in twin studies. The genetic contribution to BMI appears to vary with age and may have a greater influence during childhood than adult life.

X Demographics

X Demographics

The data shown below were collected from the profiles of 156 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 496 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
United Kingdom 3 <1%
Israel 1 <1%
Czechia 1 <1%
Tunisia 1 <1%
Portugal 1 <1%
Mexico 1 <1%
New Zealand 1 <1%
Unknown 481 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 19%
Student > Master 73 15%
Researcher 60 12%
Student > Bachelor 50 10%
Student > Doctoral Student 34 7%
Other 74 15%
Unknown 109 22%
Readers by discipline Count As %
Medicine and Dentistry 95 19%
Agricultural and Biological Sciences 78 16%
Biochemistry, Genetics and Molecular Biology 67 14%
Psychology 31 6%
Nursing and Health Professions 19 4%
Other 76 15%
Unknown 130 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 247. 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 28 April 2024.
All research outputs
#153,578
of 25,808,886 outputs
Outputs from Frontiers in endocrinology
#36
of 13,285 outputs
Outputs of similar age
#656
of 252,081 outputs
Outputs of similar age from Frontiers in endocrinology
#1
of 138 outputs
Altmetric has tracked 25,808,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,285 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% 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 252,081 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 99% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.