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Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

Overview of attention for article published in Human Molecular Genetics, November 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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8 news outlets
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1 blog
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23 X users
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1 Facebook page
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1 Google+ user

Citations

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269 Dimensions

Readers on

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391 Mendeley
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3 CiteULike
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Title
Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index
Published in
Human Molecular Genetics, November 2015
DOI 10.1093/hmg/ddv472
Pubmed ID
Authors

Janine F. Felix, Jonathan P. Bradfield, Claire Monnereau, Ralf J.P. van der Valk, Evie Stergiakouli, Alessandra Chesi, Romy Gaillard, Bjarke Feenstra, Elisabeth Thiering, Eskil Kreiner-Møller, Anubha Mahajan, Niina Pitkänen, Raimo Joro, Alana Cavadino, Ville Huikari, Steve Franks, Maria M. Groen-Blokhuis, Diana L. Cousminer, Julie A. Marsh, Terho Lehtimäki, John A. Curtin, Jesus Vioque, Tarunveer S. Ahluwalia, Ronny Myhre, Thomas S. Price, Natalia Vilor-Tejedor, Loïc Yengo, Niels Grarup, Ioanna Ntalla, Wei Ang, Mustafa Atalay, Hans Bisgaard, Alexandra I. Blakemore, Amelie Bonnefond, Lisbeth Carstensen, Johan Eriksson, Claudia Flexeder, Lude Franke, Frank Geller, Mandy Geserick, Anna-Liisa Hartikainen, Claire M.A. Haworth, Joel N. Hirschhorn, Albert Hofman, Jens-Christian Holm, Momoko Horikoshi, Jouke Jan Hottenga, Jinyan Huang, Haja N. Kadarmideen, Mika Kähönen, Wieland Kiess, Hanna-Maaria Lakka, Timo A. Lakka, Alexandra M. Lewin, Liming Liang, Leo-Pekka Lyytikäinen, Baoshan Ma, Per Magnus, Shana E. McCormack, George McMahon, Frank D. Mentch, Christel M. Middeldorp, Clare S. Murray, Katja Pahkala, Tune H. Pers, Roland Pfäffle, Dirkje S. Postma, Christine Power, Angela Simpson, Verena Sengpiel, Carla M. T. Tiesler, Maties Torrent, André G. Uitterlinden, Joyce B. van Meurs, Rebecca Vinding, Johannes Waage, Jane Wardle, Eleftheria Zeggini, Babette S. Zemel, George V. Dedoussis, Oluf Pedersen, Philippe Froguel, Jordi Sunyer, Robert Plomin, Bo Jacobsson, Torben Hansen, Juan R. Gonzalez, Adnan Custovic, Olli T. Raitakari, Craig E. Pennell, Elisabeth Widén, Dorret I. Boomsma, Gerard H. Koppelman, Sylvain Sebert, Marjo-Riitta Järvelin, Elina Hyppönen, Mark I. McCarthy, Virpi Lindi, Niinikoski Harri, Antje Körner, Klaus Bønnelykke, Joachim Heinrich, Mads Melbye, Fernando Rivadeneira, Hakon Hakonarson, Susan M. Ring, George Davey Smith, Thorkild I.A. Sørensen, Nicholas J. Timpson, Struan F.A. Grant, Vincent W.V. Jaddoe, Heidi J. Kalkwarf, Joan M. Lappe, Vicente Gilsanz, Sharon E. Oberfield, John A. Shepherd, Andrea Kelly

Abstract

A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We included 35,668 children from 20 studies in the discovery phase and 11,873 children from 13 studies in the replication phase. In total, 15 loci reached genome-wide-significance (P-value<5 x 10(-8)) in the joint discovery and replication analysis, of which 12 are previously identified loci in or close to ADCY3, GNPDA2, TMEM18, SEC16B, FAIM2, FTO, TFAP2B, TNNI3K, MC4R, GPR61, LMX1B and OLFM4 associated with adult body mass index or childhood obesity. We identified three novel loci: rs13253111 near ELP3, rs8092503 near RAB27B, and rs13387838 near ADAM23. Per additional risk allele, body mass index increased 0.04 Standard Deviation Score (SDS) (Standard Error (SE) 0.007), 0.05 SDS (SE 0.008) and 0.14 SDS (SE 0.025), for rs13253111, rs8092503, and rs13387838, respectively. A genetic risk score combining all 15 SNPs showed that each additional average risk allele was associated with a 0.073 SDS (SE 0.011, P-value=3.12 x 10(-10)) increase in childhood body mass index in a population of 1,955 children. This risk score explained 2% of the variance in childhood body mass index. This study highlights the shared genetic background between childhood and adult body mass index and adds three novel loci. These loci likely represent age-related differences in strength of the associations with body mass index.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 391 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
France 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Unknown 386 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 63 16%
Student > Master 48 12%
Student > Bachelor 48 12%
Student > Ph. D. Student 47 12%
Other 18 5%
Other 64 16%
Unknown 103 26%
Readers by discipline Count As %
Medicine and Dentistry 86 22%
Biochemistry, Genetics and Molecular Biology 40 10%
Agricultural and Biological Sciences 39 10%
Nursing and Health Professions 27 7%
Psychology 12 3%
Other 61 16%
Unknown 126 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 August 2019.
All research outputs
#482,533
of 23,301,510 outputs
Outputs from Human Molecular Genetics
#56
of 8,067 outputs
Outputs of similar age
#8,685
of 389,181 outputs
Outputs of similar age from Human Molecular Genetics
#2
of 121 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,067 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 389,181 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 97% of its contemporaries.
We're also able to compare this research output to 121 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.