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Genome-Wide Association Scan Meta-Analysis Identifies Three Loci Influencing Adiposity and Fat Distribution

Overview of attention for article published in PLoS Genetics, June 2009
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Title
Genome-Wide Association Scan Meta-Analysis Identifies Three Loci Influencing Adiposity and Fat Distribution
Published in
PLoS Genetics, June 2009
DOI 10.1371/journal.pgen.1000508
Pubmed ID
Authors

Cecilia M. Lindgren, Iris M. Heid, Joshua C. Randall, Claudia Lamina, Valgerdur Steinthorsdottir, Lu Qi, Elizabeth K. Speliotes, Gudmar Thorleifsson, Cristen J. Willer, Blanca M. Herrera, Anne U. Jackson, Noha Lim, Paul Scheet, Nicole Soranzo, Najaf Amin, Yurii S. Aulchenko, John C. Chambers, Alexander Drong, Jian'an Luan, Helen N. Lyon, Fernando Rivadeneira, Serena Sanna, Nicholas J. Timpson, M. Carola Zillikens, Jing Hua Zhao, Peter Almgren, Stefania Bandinelli, Amanda J. Bennett, Richard N. Bergman, Lori L. Bonnycastle, Suzannah J. Bumpstead, Stephen J. Chanock, Lynn Cherkas, Peter Chines, Lachlan Coin, Cyrus Cooper, Gabriel Crawford, Angela Doering, Anna Dominiczak, Alex S. F. Doney, Shah Ebrahim, Paul Elliott, Michael R. Erdos, Karol Estrada, Luigi Ferrucci, Guido Fischer, Nita G. Forouhi, Christian Gieger, Harald Grallert, Christopher J. Groves, Scott Grundy, Candace Guiducci, David Hadley, Anders Hamsten, Aki S. Havulinna, Albert Hofman, Rolf Holle, John W. Holloway, Thomas Illig, Bo Isomaa, Leonie C. Jacobs, Karen Jameson, Pekka Jousilahti, Fredrik Karpe, Johanna Kuusisto, Jaana Laitinen, G. Mark Lathrop, Debbie A. Lawlor, Massimo Mangino, Wendy L. McArdle, Thomas Meitinger, Mario A. Morken, Andrew P. Morris, Patricia Munroe, Narisu Narisu, Anna Nordström, Peter Nordström, Ben A. Oostra, Colin N. A. Palmer, Felicity Payne, John F. Peden, Inga Prokopenko, Frida Renström, Aimo Ruokonen, Veikko Salomaa, Manjinder S. Sandhu, Laura J. Scott, Angelo Scuteri, Kaisa Silander, Kijoung Song, Xin Yuan, Heather M. Stringham, Amy J. Swift, Tiinamaija Tuomi, Manuela Uda, Peter Vollenweider, Gerard Waeber, Chris Wallace, G. Bragi Walters, Michael N. Weedon, Jacqueline C. M. Witteman, Cuilin Zhang, Weihua Zhang, Mark J. Caulfield, Francis S. Collins, George Davey Smith, Ian N. M. Day, Paul W. Franks, Andrew T. Hattersley, Frank B. Hu, Marjo-Riitta Jarvelin, Augustine Kong, Jaspal S. Kooner, Markku Laakso, Edward Lakatta, Vincent Mooser, Andrew D. Morris, Leena Peltonen, Nilesh J. Samani, Timothy D. Spector, David P. Strachan, Toshiko Tanaka, Jaakko Tuomilehto, André G. Uitterlinden, Cornelia M. van Duijn, Nicholas J. Wareham, Hugh Watkins for the PROCARDIS consortia, Dawn M. Waterworth, Michael Boehnke, Panos Deloukas, Leif Groop, David J. Hunter, Unnur Thorsteinsdottir, David Schlessinger, H.-Erich Wichmann, Timothy M. Frayling, Gonçalo R. Abecasis, Joel N. Hirschhorn, Ruth J. F. Loos, Kari Stefansson, Karen L. Mohlke, Inês Barroso, Mark I. McCarthy for the GIANT consortium

Abstract

To identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist-hip ratio (WHR). We selected 26 SNPs for follow-up, for which the evidence of association with measures of central adiposity (WC and/or WHR) was strong and disproportionate to that for overall adiposity or height. Follow-up studies in a maximum of 70,689 individuals identified two loci strongly associated with measures of central adiposity; these map near TFAP2B (WC, P = 1.9x10(-11)) and MSRA (WC, P = 8.9x10(-9)). A third locus, near LYPLAL1, was associated with WHR in women only (P = 2.6x10(-8)). The variants near TFAP2B appear to influence central adiposity through an effect on overall obesity/fat-mass, whereas LYPLAL1 displays a strong female-only association with fat distribution. By focusing on anthropometric measures of central obesity and fat distribution, we have identified three loci implicated in the regulation of human adiposity.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 2%
United States 5 1%
Mexico 2 <1%
Canada 2 <1%
Australia 1 <1%
Finland 1 <1%
New Zealand 1 <1%
Iceland 1 <1%
Switzerland 1 <1%
Other 4 1%
Unknown 340 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 92 25%
Student > Ph. D. Student 75 21%
Student > Master 30 8%
Professor 30 8%
Student > Bachelor 23 6%
Other 68 19%
Unknown 46 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 117 32%
Medicine and Dentistry 72 20%
Biochemistry, Genetics and Molecular Biology 46 13%
Psychology 9 2%
Mathematics 9 2%
Other 51 14%
Unknown 60 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 July 2018.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from PLoS Genetics
#5,541
of 9,017 outputs
Outputs of similar age
#43,987
of 125,862 outputs
Outputs of similar age from PLoS Genetics
#40
of 63 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 125,862 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.