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Evaluation of the Metabochip Genotyping Array in African Americans and Implications for Fine Mapping of GWAS-Identified Loci: The PAGE Study

Overview of attention for article published in PLOS ONE, April 2012
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Title
Evaluation of the Metabochip Genotyping Array in African Americans and Implications for Fine Mapping of GWAS-Identified Loci: The PAGE Study
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035651
Pubmed ID
Authors

Steven Buyske, Ying Wu, Cara L. Carty, Iona Cheng, Themistocles L. Assimes, Logan Dumitrescu, Lucia A. Hindorff, Sabrina Mitchell, Jose Luis Ambite, Eric Boerwinkle, Petra Buzkova, Chris S. Carlson, Barbara Cochran, David Duggan, Charles B. Eaton, Megan D. Fesinmeyer, Nora Franceschini, Jeffrey Haessler, Nancy Jenny, Hyun Min Kang, Charles Kooperberg, Yi Lin, Loic Le Marchand, Tara C. Matise, Jennifer G. Robinson, Carlos Rodriguez, Fredrick R. Schumacher, Benjamin F. Voight, Alicia Young, Teri A. Manolio, Karen L. Mohlke, Christopher A. Haiman, Ulrike Peters, Dana C. Crawford, Kari E. North

Abstract

The Metabochip is a custom genotyping array designed for replication and fine mapping of metabolic, cardiovascular, and anthropometric trait loci and includes low frequency variation content identified from the 1000 Genomes Project. It has 196,725 SNPs concentrated in 257 genomic regions. We evaluated the Metabochip in 5,863 African Americans; 89% of all SNPs passed rigorous quality control with a call rate of 99.9%. Two examples illustrate the value of fine mapping with the Metabochip in African-ancestry populations. At CELSR2/PSRC1/SORT1, we found the strongest associated SNP for LDL-C to be rs12740374 (p = 3.5 × 10(-11)), a SNP indistinguishable from multiple SNPs in European ancestry samples due to high correlation. Its distinct signal supports functional studies elsewhere suggesting a causal role in LDL-C. At CETP we found rs17231520, with risk allele frequency 0.07 in African Americans, to be associated with HDL-C (p = 7.2 × 10(-36)). This variant is very rare in Europeans and not tagged in common GWAS arrays, but was identified as associated with HDL-C in African Americans in a single-gene study. Our results, one narrowing the risk interval and the other revealing an associated variant not found in Europeans, demonstrate the advantages of high-density genotyping of common and rare variation for fine mapping of trait loci in African American samples.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
New Zealand 1 1%
Italy 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Researcher 15 21%
Professor > Associate Professor 9 13%
Student > Bachelor 6 9%
Other 5 7%
Other 13 19%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 40%
Medicine and Dentistry 12 17%
Biochemistry, Genetics and Molecular Biology 9 13%
Social Sciences 3 4%
Computer Science 2 3%
Other 7 10%
Unknown 9 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 April 2012.
All research outputs
#13,225,615
of 23,306,612 outputs
Outputs from PLOS ONE
#105,369
of 199,224 outputs
Outputs of similar age
#89,383
of 164,330 outputs
Outputs of similar age from PLOS ONE
#1,821
of 3,753 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 199,224 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 164,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,753 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 50% of its contemporaries.