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Whole genome prediction for preimplantation genetic diagnosis

Overview of attention for article published in Genome Medicine, April 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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3 news outlets
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12 X users
wikipedia
1 Wikipedia page

Citations

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32 Dimensions

Readers on

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49 Mendeley
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Title
Whole genome prediction for preimplantation genetic diagnosis
Published in
Genome Medicine, April 2015
DOI 10.1186/s13073-015-0160-4
Pubmed ID
Authors

Akash Kumar, Allison Ryan, Jacob O Kitzman, Nina Wemmer, Matthew W Snyder, Styrmir Sigurjonsson, Choli Lee, Milena Banjevic, Paul W Zarutskie, Alexandra P Lewis, Jay Shendure, Matthew Rabinowitz

Abstract

Preimplantation genetic diagnosis (PGD) enables profiling of embryos for genetic disorders prior to implantation. The majority of PGD testing is restricted in the scope of variants assayed or by the availability of extended family members. While recent advances in single cell sequencing show promise, they remain limited by bias in DNA amplification and the rapid turnaround time (<36 h) required for fresh embryo transfer. Here, we describe and validate a method for inferring the inherited whole genome sequence of an embryo for preimplantation genetic diagnosis (PGD). We combine haplotype-resolved, parental genome sequencing with rapid embryo genotyping to predict the whole genome sequence of a day-5 human embryo in a couple at risk of transmitting alpha-thalassemia. Inheritance was predicted at approximately 3 million paternally and/or maternally heterozygous sites with greater than 99% accuracy. Furthermore, we successfully phase and predict the transmission of an HBA1/HBA2 deletion from each parent. Our results suggest that preimplantation whole genome prediction may facilitate the comprehensive diagnosis of diseases with a known genetic basis in embryos.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 %
Russia 1 2%
Nigeria 1 2%
South Africa 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 9 18%
Other 7 14%
Student > Master 6 12%
Student > Bachelor 3 6%
Other 3 6%
Unknown 8 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 29%
Agricultural and Biological Sciences 14 29%
Medicine and Dentistry 5 10%
Computer Science 3 6%
Environmental Science 1 2%
Other 4 8%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 22 March 2022.
All research outputs
#1,022,438
of 23,393,453 outputs
Outputs from Genome Medicine
#205
of 1,462 outputs
Outputs of similar age
#13,880
of 266,081 outputs
Outputs of similar age from Genome Medicine
#6
of 25 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,462 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done well, scoring higher than 85% 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 266,081 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.