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Association between Common Variation at the FTO Locus and Changes in Body Mass Index from Infancy to Late Childhood: The Complex Nature of Genetic Association through Growth and Development

Overview of attention for article published in PLoS Genetics, February 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
89 Mendeley
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1 CiteULike
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Title
Association between Common Variation at the FTO Locus and Changes in Body Mass Index from Infancy to Late Childhood: The Complex Nature of Genetic Association through Growth and Development
Published in
PLoS Genetics, February 2011
DOI 10.1371/journal.pgen.1001307
Pubmed ID
Authors

Ulla Sovio, Dennis O. Mook-Kanamori, Nicole M. Warrington, Robert Lawrence, Laurent Briollais, Colin N. A. Palmer, Joanne Cecil, Johanna K. Sandling, Ann-Christine Syvänen, Marika Kaakinen, Lawrie J. Beilin, Iona Y. Millwood, Amanda J. Bennett, Jaana Laitinen, Anneli Pouta, John Molitor, George Davey Smith, Yoav Ben-Shlomo, Vincent W. V. Jaddoe, Lyle J. Palmer, Craig E. Pennell, Tim J. Cole, Mark I. McCarthy, Marjo-Riitta Järvelin, Nicholas J. Timpson, Early Growth Genetics Consortium, Sovio U, Mook-Kanamori DO, Warrington NM, Lawrence R, Briollais L, Palmer CN, Cecil J, Sandling JK, Syvänen AC, Kaakinen M, Beilin LJ, Millwood IY, Bennett AJ, Laitinen J, Pouta A, Molitor J, Davey Smith G, Ben-Shlomo Y, Jaddoe VW, Palmer LJ, Pennell CE, Cole TJ, McCarthy MI, Järvelin MR, Timpson NJ, Greg Gibson

Abstract

An age-dependent association between variation at the FTO locus and BMI in children has been suggested. We meta-analyzed associations between the FTO locus (rs9939609) and BMI in samples, aged from early infancy to 13 years, from 8 cohorts of European ancestry. We found a positive association between additional minor (A) alleles and BMI from 5.5 years onwards, but an inverse association below age 2.5 years. Modelling median BMI curves for each genotype using the LMS method, we found that carriers of minor alleles showed lower BMI in infancy, earlier adiposity rebound (AR), and higher BMI later in childhood. Differences by allele were consistent with two independent processes: earlier AR equivalent to accelerating developmental age by 2.37% (95% CI 1.87, 2.87, p = 10(-20)) per A allele and a positive age by genotype interaction such that BMI increased faster with age (p = 10(-23)). We also fitted a linear mixed effects model to relate genotype to the BMI curve inflection points adiposity peak (AP) in infancy and AR. Carriage of two minor alleles at rs9939609 was associated with lower BMI at AP (-0.40% (95% CI: -0.74, -0.06), p = 0.02), higher BMI at AR (0.93% (95% CI: 0.22, 1.64), p = 0.01), and earlier AR (-4.72% (-5.81, -3.63), p = 10(-17)), supporting cross-sectional results. Overall, we confirm the expected association between variation at rs9939609 and BMI in childhood, but only after an inverse association between the same variant and BMI in infancy. Patterns are consistent with a shift on the developmental scale, which is reflected in association with the timing of AR rather than just a global increase in BMI. Results provide important information about longitudinal gene effects and about the role of FTO in adiposity. The associated shifts in developmental timing have clinical importance with respect to known relationships between AR and both later-life BMI and metabolic disease risk.

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Israel 1 1%
South Africa 1 1%
Russian Federation 1 1%
Unknown 83 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 27%
Student > Ph. D. Student 16 18%
Student > Master 12 13%
Student > Doctoral Student 8 9%
Other 7 8%
Other 22 25%
Readers by discipline Count As %
Medicine and Dentistry 40 45%
Agricultural and Biological Sciences 24 27%
Biochemistry, Genetics and Molecular Biology 10 11%
Unspecified 5 6%
Psychology 2 2%
Other 8 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 23 February 2011.
All research outputs
#328,752
of 3,620,974 outputs
Outputs from PLoS Genetics
#743
of 3,505 outputs
Outputs of similar age
#10,552
of 84,985 outputs
Outputs of similar age from PLoS Genetics
#35
of 171 outputs
Altmetric has tracked 3,620,974 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,505 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 78% 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 84,985 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.