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Genome-Wide Association Analysis Identifies Variants Associated with Nonalcoholic Fatty Liver Disease That Have Distinct Effects on Metabolic Traits

Overview of attention for article published in PLoS Genetics, March 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
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5 patents
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1 research highlight platform

Citations

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824 Dimensions

Readers on

mendeley
573 Mendeley
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1 CiteULike
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1 Connotea
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Title
Genome-Wide Association Analysis Identifies Variants Associated with Nonalcoholic Fatty Liver Disease That Have Distinct Effects on Metabolic Traits
Published in
PLoS Genetics, March 2011
DOI 10.1371/journal.pgen.1001324
Pubmed ID
Authors

Elizabeth K. Speliotes, Laura M. Yerges-Armstrong, Jun Wu, Ruben Hernaez, Lauren J. Kim, Cameron D. Palmer, Vilmundur Gudnason, Gudny Eiriksdottir, Melissa E. Garcia, Lenore J. Launer, Michael A. Nalls, Jeanne M. Clark, Braxton D. Mitchell, Alan R. Shuldiner, Johannah L. Butler, Marta Tomas, Udo Hoffmann, Shih-Jen Hwang, Joseph M. Massaro, Christopher J. O'Donnell, Dushyant V. Sahani, Veikko Salomaa, Eric E. Schadt, Stephen M. Schwartz, David S. Siscovick, Benjamin F. Voight, J. Jeffrey Carr, Mary F. Feitosa, Tamara B. Harris, Caroline S. Fox, Albert V. Smith, W. H. Linda Kao, Joel N. Hirschhorn, Ingrid B. Borecki

Abstract

Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA) analysis of computed tomography (CT) measured hepatic steatosis, a non-invasive measure of NAFLD, in large population based samples. Using variance components methods, we show that CT hepatic steatosis is heritable (∼26%-27%) in family-based Amish, Family Heart, and Framingham Heart Studies (n = 880 to 3,070). By carrying out a fixed-effects meta-analysis of genome-wide association (GWA) results between CT hepatic steatosis and ∼2.4 million imputed or genotyped SNPs in 7,176 individuals from the Old Order Amish, Age, Gene/Environment Susceptibility-Reykjavik study (AGES), Family Heart, and Framingham Heart Studies, we identify variants associated at genome-wide significant levels (p<5×10(-8)) in or near PNPLA3, NCAN, and PPP1R3B. We genotype these and 42 other top CT hepatic steatosis-associated SNPs in 592 subjects with biopsy-proven NAFLD from the NASH Clinical Research Network (NASH CRN). In comparisons with 1,405 healthy controls from the Myocardial Genetics Consortium (MIGen), we observe significant associations with histologic NAFLD at variants in or near NCAN, GCKR, LYPLAL1, and PNPLA3, but not PPP1R3B. Variants at these five loci exhibit distinct patterns of association with serum lipids, as well as glycemic and anthropometric traits. We identify common genetic variants influencing CT-assessed steatosis and risk of NAFLD. Hepatic steatosis associated variants are not uniformly associated with NASH/fibrosis or result in abnormalities in serum lipids or glycemic and anthropometric traits, suggesting genetic heterogeneity in the pathways influencing these traits.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 573 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Italy 3 <1%
Germany 3 <1%
France 1 <1%
Netherlands 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 557 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 134 23%
Student > Ph. D. Student 90 16%
Professor 57 10%
Student > Master 44 8%
Other 39 7%
Other 112 20%
Unknown 97 17%
Readers by discipline Count As %
Medicine and Dentistry 167 29%
Biochemistry, Genetics and Molecular Biology 101 18%
Agricultural and Biological Sciences 97 17%
Nursing and Health Professions 11 2%
Pharmacology, Toxicology and Pharmaceutical Science 8 1%
Other 51 9%
Unknown 138 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 19 December 2023.
All research outputs
#2,497,348
of 25,837,817 outputs
Outputs from PLoS Genetics
#2,051
of 9,017 outputs
Outputs of similar age
#10,547
of 120,937 outputs
Outputs of similar age from PLoS Genetics
#14
of 84 outputs
Altmetric has tracked 25,837,817 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 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 has done well, scoring higher than 76% 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 120,937 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 91% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.