↓ Skip to main content

Design and coverage of high throughput genotyping arrays optimized for individuals of East Asian, African American, and Latino race/ethnicity using imputation and a novel hybrid SNP selection…

Overview of attention for article published in Genomics, August 2011
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Citations

dimensions_citation
157 Dimensions

Readers on

mendeley
102 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Design and coverage of high throughput genotyping arrays optimized for individuals of East Asian, African American, and Latino race/ethnicity using imputation and a novel hybrid SNP selection algorithm
Published in
Genomics, August 2011
DOI 10.1016/j.ygeno.2011.08.007
Pubmed ID
Authors

Thomas J. Hoffmann, Yiping Zhan, Mark N. Kvale, Stephanie E. Hesselson, Jeremy Gollub, Carlos Iribarren, Yontao Lu, Gangwu Mei, Matthew M. Purdy, Charles Quesenberry, Sarah Rowell, Michael H. Shapero, David Smethurst, Carol P. Somkin, Stephen K. Van den Eeden, Larry Walter, Teresa Webster, Rachel A. Whitmer, Andrea Finn, Catherine Schaefer, Pui-Yan Kwok, Neil Risch

Abstract

Four custom Axiom genotyping arrays were designed for a genome-wide association (GWA) study of 100,000 participants from the Kaiser Permanente Research Program on Genes, Environment and Health. The array optimized for individuals of European race/ethnicity was previously described. Here we detail the development of three additional microarrays optimized for individuals of East Asian, African American, and Latino race/ethnicity. For these arrays, we decreased redundancy of high-performing SNPs to increase SNP capacity. The East Asian array was designed using greedy pairwise SNP selection. However, removing SNPs from the target set based on imputation coverage is more efficient than pairwise tagging. Therefore, we developed a novel hybrid SNP selection method for the African American and Latino arrays utilizing rounds of greedy pairwise SNP selection, followed by removal from the target set of SNPs covered by imputation. The arrays provide excellent genome-wide coverage and are valuable additions for large-scale GWA studies.

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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Uruguay 1 <1%
Germany 1 <1%
Unknown 98 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 30%
Student > Ph. D. Student 14 14%
Student > Master 11 11%
Student > Bachelor 9 9%
Professor 8 8%
Other 19 19%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 26%
Biochemistry, Genetics and Molecular Biology 22 22%
Medicine and Dentistry 16 16%
Computer Science 7 7%
Social Sciences 3 3%
Other 10 10%
Unknown 17 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 October 2021.
All research outputs
#7,047,316
of 25,373,627 outputs
Outputs from Genomics
#1,963
of 5,923 outputs
Outputs of similar age
#38,633
of 134,689 outputs
Outputs of similar age from Genomics
#6
of 15 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 5,923 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 66% 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 134,689 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 15 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 60% of its contemporaries.