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Gene-Centric Meta-Analysis of Lipid Traits in African, East Asian and Hispanic Populations

Overview of attention for article published in PLOS ONE, December 2012
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

patent
3 patents
facebook
1 Facebook page

Citations

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40 Dimensions

Readers on

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79 Mendeley
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Title
Gene-Centric Meta-Analysis of Lipid Traits in African, East Asian and Hispanic Populations
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0050198
Pubmed ID
Authors

Clara C. Elbers, Yiran Guo, Vinicius Tragante, Erik P. A. van Iperen, Matthew B. Lanktree, Berta Almoguera Castillo, Fang Chen, Lisa R. Yanek, Mary K. Wojczynski, Yun R. Li, Bart Ferwerda, Christie M. Ballantyne, Sarah G. Buxbaum, Yii-Der Ida Chen, Wei-Min Chen, L. Adrienne Cupples, Mary Cushman, Yanan Duan, David Duggan, Michele K. Evans, Jyotika K. Fernandes, Myriam Fornage, Melissa Garcia, W. Timothy Garvey, Nicole Glazer, Felicia Gomez, Tamara B. Harris, Indrani Halder, Virginia J. Howard, Margaux F. Keller, M. Ilyas Kamboh, Charles Kooperberg, Stephen B. Kritchevsky, Andrea LaCroix, Kiang Liu, Yongmei Liu, Kiran Musunuru, Anne B. Newman, N. Charlotte Onland-Moret, Jose Ordovas, Inga Peter, Wendy Post, Susan Redline, Steven E. Reis, Richa Saxena, Pamela J. Schreiner, Kelly A. Volcik, Xingbin Wang, Salim Yusuf, Alan B. Zonderland, Sonia S. Anand, Diane M. Becker, Bruce Psaty, Daniel J. Rader, Alex P. Reiner, Stephen S. Rich, Jerome I. Rotter, Michèle M. Sale, Michael Y. Tsai, Ingrid B. Borecki, Robert A. Hegele, Sekar Kathiresan, Michael A. Nalls, Herman A. Taylor, Hakon Hakonarson, Suthesh Sivapalaratnam, Folkert W. Asselbergs, Fotios Drenos, James G. Wilson, Brendan J. Keating

Abstract

Meta-analyses of European populations has successfully identified genetic variants in over 100 loci associated with lipid levels, but our knowledge in other ethnicities remains limited. To address this, we performed dense genotyping of ∼2,000 candidate genes in 7,657 African Americans, 1,315 Hispanics and 841 East Asians, using the IBC array, a custom ∼50,000 SNP genotyping array. Meta-analyses confirmed 16 lipid loci previously established in European populations at genome-wide significance level, and found multiple independent association signals within these lipid loci. Initial discovery and in silico follow-up in 7,000 additional African American samples, confirmed two novel loci: rs5030359 within ICAM1 is associated with total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) (p = 8.8×10(-7) and p = 1.5×10(-6) respectively) and a nonsense mutation rs3211938 within CD36 is associated with high-density lipoprotein cholesterol (HDL-C) levels (p = 13.5×10(-12)). The rs3211938-G allele, which is nearly absent in European and Asian populations, has been previously found to be associated with CD36 deficiency and shows a signature of selection in Africans and African Americans. Finally, we have evaluated the effect of SNPs established in European populations on lipid levels in multi-ethnic populations and show that most known lipid association signals span across ethnicities. However, differences between populations, especially differences in allele frequency, can be leveraged to identify novel signals, as shown by the discovery of ICAM1 and CD36 in the current report.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
France 2 3%
Unknown 75 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 19%
Student > Ph. D. Student 15 19%
Student > Bachelor 7 9%
Professor 7 9%
Student > Doctoral Student 6 8%
Other 17 22%
Unknown 12 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 24%
Medicine and Dentistry 14 18%
Biochemistry, Genetics and Molecular Biology 13 16%
Computer Science 7 9%
Engineering 3 4%
Other 6 8%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 29 February 2024.
All research outputs
#5,376,524
of 25,508,813 outputs
Outputs from PLOS ONE
#87,691
of 222,352 outputs
Outputs of similar age
#51,196
of 286,630 outputs
Outputs of similar age from PLOS ONE
#1,137
of 4,789 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 222,352 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 60% 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 286,630 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 4,789 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.