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Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci

Overview of attention for article published in Human Molecular Genetics, November 2016
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Article details
Title
Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci
Published in
Human Molecular Genetics, November 2016
DOI 10.1093/hmg/ddw358
Pubmed ID
Authors
Abstract

Genome-wide association studies have identified over 150 loci associated with lipid traits, however, no large-scale studies exist for Hispanics and other minority populations. Additionally, the genetic architecture of lipid-influencing loci remains largely unknown. We performed one of the most racially/ethnically diverse fine-mapping genetic studies of HDL-C, LDL-C, and triglycerides to-date using SNPs on the MetaboChip array on 54,119 individuals: 21,304 African Americans, 19,829 Hispanic Americans, 12,456 Asians, and 530 American Indians. The majority of signals found in these groups generalize to European Americans. While we uncovered signals unique to racial/ethnic populations, we also observed systematically consistent lipid associations across these groups. In African Americans, we identified three novel signals associated with HDL-C (LPL, APOA5, LCAT) and two associated with LDL-C (ABCG8, DHODH). In addition, using this population, we refined the location for 16 out of the 58 known MetaboChip lipid loci. These results can guide tailored screening efforts, reveal population-specific responses to lipid-lowering medications, and aid in the development of new targeted drug therapies.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 9 17%
Student > Bachelor 5 9%
Professor > Associate Professor 5 9%
Professor 4 7%
Other 7 13%
Unknown 12 22%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 17%
Agricultural and Biological Sciences 9 17%
Medicine and Dentistry 9 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Nursing and Health Professions 2 4%
Other 7 13%
Unknown 16 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 April 2017.
All research outputs
#20,414,746
of 22,965,074 outputs
Outputs from Human Molecular Genetics
#7,646
of 8,041 outputs
Outputs of similar age
#350,210
of 416,354 outputs
Outputs of similar age from Human Molecular Genetics
#67
of 77 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,041 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.