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Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium

Overview of attention for article published in Molecular Psychiatry, July 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
45 X users
facebook
1 Facebook page

Citations

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50 Dimensions

Readers on

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181 Mendeley
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Title
Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium
Published in
Molecular Psychiatry, July 2018
DOI 10.1038/s41380-018-0079-4
Pubmed ID
Authors

Jordi Merino, Hassan S. Dashti, Sherly X. Li, Chloé Sarnowski, Anne E. Justice, Misa Graff, Constantina Papoutsakis, Caren E. Smith, George V. Dedoussis, Rozenn N. Lemaitre, Mary K. Wojczynski, Satu Männistö, Julius S. Ngwa, Minjung Kho, Tarunveer S. Ahluwalia, Natalia Pervjakova, Denise K. Houston, Claude Bouchard, Tao Huang, Marju Orho-Melander, Alexis C. Frazier-Wood, Dennis O. Mook-Kanamori, Louis Pérusse, Craig E. Pennell, Paul S. de Vries, Trudy Voortman, Olivia Li, Stavroula Kanoni, Lynda M. Rose, Terho Lehtimäki, Jing Hua Zhao, Mary F. Feitosa, Jian’an Luan, Nicola M. McKeown, Jennifer A. Smith, Torben Hansen, Niina Eklund, Mike A. Nalls, Tuomo Rankinen, Jinyan Huang, Dena G. Hernandez, Christina-Alexandra Schulz, Ani Manichaikul, Ruifang Li-Gao, Marie-Claude Vohl, Carol A. Wang, Frank J. A. van Rooij, Jean Shin, Ioanna P. Kalafati, Felix Day, Paul M. Ridker, Mika Kähönen, David S. Siscovick, Claudia Langenberg, Wei Zhao, Arne Astrup, Paul Knekt, Melissa Garcia, D. C. Rao, Qibin Qi, Luigi Ferrucci, Ulrika Ericson, John Blangero, Albert Hofman, Zdenka Pausova, Vera Mikkilä, Nick J. Wareham, Sharon L. R Kardia, Oluf Pedersen, Antti Jula, Joanne E. Curran, M. Carola Zillikens, Jorma S. Viikari, Nita G. Forouhi, José M. Ordovás, John C. Lieske, Harri Rissanen, André G. Uitterlinden, Olli T. Raitakari, Jessica C. Kiefte-de Jong, Josée Dupuis, Jerome I. Rotter, Kari E. North, Robert A. Scott, Michael A. Province, Markus Perola, L. Adrienne Cupples, Stephen T. Turner, Thorkild I. A. Sørensen, Veikko Salomaa, Yongmei Liu, Yun J. Sung, Lu Qi, Stefania Bandinelli, Stephen S. Rich, Renée de Mutsert, Angelo Tremblay, Wendy H. Oddy, Oscar H. Franco, Tomas Paus, Jose C. Florez, Panos Deloukas, Leo-Pekka Lyytikäinen, Daniel I. Chasman, Audrey Y. Chu, Toshiko Tanaka

Abstract

Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P < 1 × 10-6) associated with intake of any macronutrient in 91,114 European ancestry participants. Four loci replicated and reached genome-wide significance in a combined meta-analysis including 123,659 European descent participants, unraveling two novel loci; a common variant in RARB locus for carbohydrate intake and a rare variant in DRAM1 locus for protein intake, and corroborating earlier FGF21 and FTO findings. In additional analysis of 144,770 participants from the UK Biobank, all identified associations from the two-stage analysis were confirmed except for DRAM1. Identified loci might have implications in brain and adipose tissue biology and have clinical impact in obesity-related phenotypes. Our findings provide new insight into biological functions related to macronutrient intake.

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 181 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 17%
Student > Ph. D. Student 16 9%
Student > Bachelor 16 9%
Student > Master 12 7%
Professor 8 4%
Other 28 15%
Unknown 70 39%
Readers by discipline Count As %
Medicine and Dentistry 24 13%
Biochemistry, Genetics and Molecular Biology 19 10%
Agricultural and Biological Sciences 13 7%
Nursing and Health Professions 12 7%
Social Sciences 6 3%
Other 29 16%
Unknown 78 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 01 May 2023.
All research outputs
#1,142,332
of 24,701,594 outputs
Outputs from Molecular Psychiatry
#947
of 4,461 outputs
Outputs of similar age
#24,606
of 331,715 outputs
Outputs of similar age from Molecular Psychiatry
#30
of 93 outputs
Altmetric has tracked 24,701,594 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 4,461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.1. 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 331,715 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 93 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 68% of its contemporaries.