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High-depth whole genome sequencing of an Ashkenazi Jewish reference panel: enhancing sensitivity, accuracy, and imputation

Overview of attention for article published in Human Genetics, April 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
High-depth whole genome sequencing of an Ashkenazi Jewish reference panel: enhancing sensitivity, accuracy, and imputation
Published in
Human Genetics, April 2018
DOI 10.1007/s00439-018-1886-z
Pubmed ID
Authors

Todd Lencz, Jin Yu, Cameron Palmer, Shai Carmi, Danny Ben-Avraham, Nir Barzilai, Susan Bressman, Ariel Darvasi, Judy H. Cho, Lorraine N. Clark, Zeynep H. Gümüş, Vijai Joseph, Robert Klein, Steven Lipkin, Kenneth Offit, Harry Ostrer, Laurie J. Ozelius, Inga Peter, Gil Atzmon, Itsik Pe’er

Abstract

While increasingly large reference panels for genome-wide imputation have been recently made available, the degree to which imputation accuracy can be enhanced by population-specific reference panels remains an open question. Here, we sequenced at full-depth (≥ 30×), across two platforms (Illumina X Ten and Complete Genomics, Inc.), a moderately large (n = 738) cohort of samples drawn from the Ashkenazi Jewish population. We developed a series of quality control steps to optimize sensitivity, specificity, and comprehensiveness of variant calls in the reference panel, and then tested the accuracy of imputation against target cohorts drawn from the same population. Quality control (QC) thresholds for the Illumina X Ten platform were identified that permitted highly accurate calling of single nucleotide variants across 94% of the genome. QC procedures also identified numerous regions that are poorly mapped using current reference or alternate assemblies. After stringent QC, the population-specific reference panel produced more accurate and comprehensive imputation results relative to publicly available, large cosmopolitan reference panels, especially in the range of rare variants that may be most critical to further progress in mapping of complex phenotypes. The population-specific reference panel also permitted enhanced filtering of clinically irrelevant variants from personal genomes.

X Demographics

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The data shown below were collected from the profiles of 6 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Researcher 6 12%
Student > Ph. D. Student 5 10%
Professor > Associate Professor 4 8%
Student > Bachelor 3 6%
Other 6 12%
Unknown 17 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Neuroscience 4 8%
Computer Science 3 6%
Agricultural and Biological Sciences 3 6%
Medicine and Dentistry 3 6%
Other 6 12%
Unknown 19 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 February 2024.
All research outputs
#7,578,309
of 24,880,704 outputs
Outputs from Human Genetics
#905
of 3,072 outputs
Outputs of similar age
#121,157
of 332,355 outputs
Outputs of similar age from Human Genetics
#4
of 16 outputs
Altmetric has tracked 24,880,704 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 70% 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 332,355 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 63% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.