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Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

Overview of attention for article published in Nature Communications, July 2017
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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 (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Citations

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30 Dimensions

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157 Mendeley
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Title
Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
Published in
Nature Communications, July 2017
DOI 10.1038/s41467-017-00031-7
Pubmed ID
Authors

M. Carola Zillikens, Serkalem Demissie, Yi-Hsiang Hsu, Laura M. Yerges-Armstrong, Wen-Chi Chou, Lisette Stolk, Gregory Livshits, Linda Broer, Toby Johnson, Daniel L. Koller, Zoltán Kutalik, Jian’an Luan, Ida Malkin, Janina S. Ried, Albert V. Smith, Gudmar Thorleifsson, Liesbeth Vandenput, Jing Hua Zhao, Weihua Zhang, Ali Aghdassi, Kristina Åkesson, Najaf Amin, Leslie J. Baier, Inês Barroso, David A. Bennett, Lars Bertram, Rainer Biffar, Murielle Bochud, Michael Boehnke, Ingrid B. Borecki, Aron S. Buchman, Liisa Byberg, Harry Campbell, Natalia Campos Obanda, Jane A. Cauley, Peggy M. Cawthon, Henna Cederberg, Zhao Chen, Nam H. Cho, Hyung Jin Choi, Melina Claussnitzer, Francis Collins, Steven R. Cummings, Philip L. De Jager, Ilja Demuth, Rosalie A. M. Dhonukshe-Rutten, Luda Diatchenko, Gudny Eiriksdottir, Anke W. Enneman, Mike Erdos, Johan G. Eriksson, Joel Eriksson, Karol Estrada, Daniel S. Evans, Mary F. Feitosa, Mao Fu, Melissa Garcia, Christian Gieger, Thomas Girke, Nicole L. Glazer, Harald Grallert, Jagvir Grewal, Bok-Ghee Han, Robert L. Hanson, Caroline Hayward, Albert Hofman, Eric P. Hoffman, Georg Homuth, Wen-Chi Hsueh, Monica J. Hubal, Alan Hubbard, Kim M. Huffman, Lise B. Husted, Thomas Illig, Erik Ingelsson, Till Ittermann, John-Olov Jansson, Joanne M. Jordan, Antti Jula, Magnus Karlsson, Kay-Tee Khaw, Tuomas O. Kilpeläinen, Norman Klopp, Jacqueline S. L. Kloth, Heikki A. Koistinen, William E. Kraus, Stephen Kritchevsky, Teemu Kuulasmaa, Johanna Kuusisto, Markku Laakso, Jari Lahti, Thomas Lang, Bente L. Langdahl, Lenore J. Launer, Jong-Young Lee, Markus M. Lerch, Joshua R. Lewis, Lars Lind, Cecilia Lindgren, Yongmei Liu, Tian Liu, Youfang Liu, Östen Ljunggren, Mattias Lorentzon, Robert N. Luben, William Maixner, Fiona E. McGuigan, Carolina Medina-Gomez, Thomas Meitinger, Håkan Melhus, Dan Mellström, Simon Melov, Karl Michaëlsson, Braxton D. Mitchell, Andrew P. Morris, Leif Mosekilde, Anne Newman, Carrie M. Nielson, Jeffrey R. O’Connell, Ben A. Oostra, Eric S. Orwoll, Aarno Palotie, Stephen C. J. Parker, Munro Peacock, Markus Perola, Annette Peters, Ozren Polasek, Richard L. Prince, Katri Räikkönen, Stuart H. Ralston, Samuli Ripatti, John A. Robbins, Jerome I. Rotter, Igor Rudan, Veikko Salomaa, Suzanne Satterfield, Eric E. Schadt, Sabine Schipf, Laura Scott, Joban Sehmi, Jian Shen, Chan Soo Shin, Gunnar Sigurdsson, Shad Smith, Nicole Soranzo, Alena Stančáková, Elisabeth Steinhagen-Thiessen, Elizabeth A. Streeten, Unnur Styrkarsdottir, Karin M. A. Swart, Sian-Tsung Tan, Mark A. Tarnopolsky, Patricia Thompson, Cynthia A. Thomson, Unnur Thorsteinsdottir, Emmi Tikkanen, Gregory J. Tranah, Jaakko Tuomilehto, Natasja M. van Schoor, Arjun Verma, Peter Vollenweider, Henry Völzke, Jean Wactawski-Wende, Mark Walker, Michael N. Weedon, Ryan Welch, H.-Erich Wichmann, Elisabeth Widen, Frances M. K. Williams, James F. Wilson, Nicole C. Wright, Weijia Xie, Lei Yu, Yanhua Zhou, John C. Chambers, Angela Döring, Cornelia M. van Duijn, Michael J. Econs, Vilmundur Gudnason, Jaspal S. Kooner, Bruce M. Psaty, Timothy D. Spector, Kari Stefansson, Fernando Rivadeneira, André G. Uitterlinden, Nicholas J. Wareham, Vicky Ossowski, Dawn Waterworth, Ruth J. F. Loos, David Karasik, Tamara B. Harris, Claes Ohlsson, Douglas P. Kiel

Abstract

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10(-8)) or suggestively genome wide (p < 2.3 × 10(-6)). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.

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Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 157 100%
Readers by discipline Count As %
Unknown 157 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 15 October 2018.
All research outputs
#565,560
of 13,628,925 outputs
Outputs from Nature Communications
#8,440
of 24,791 outputs
Outputs of similar age
#20,442
of 263,651 outputs
Outputs of similar age from Nature Communications
#355
of 911 outputs
Altmetric has tracked 13,628,925 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,791 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.3. This one has gotten more attention than average, scoring higher than 65% 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 263,651 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 92% of its contemporaries.
We're also able to compare this research output to 911 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.