↓ Skip to main content

Phased Whole-Genome Genetic Risk in a Family Quartet Using a Major Allele Reference Sequence

Overview of attention for article published in PLoS Genetics, September 2011
Altmetric Badge

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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
3 blogs
policy
1 policy source
twitter
47 X users
patent
2 patents
facebook
2 Facebook pages
wikipedia
8 Wikipedia pages
googleplus
4 Google+ users
q&a
2 Q&A threads

Citations

dimensions_citation
143 Dimensions

Readers on

mendeley
365 Mendeley
citeulike
20 CiteULike
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
Phased Whole-Genome Genetic Risk in a Family Quartet Using a Major Allele Reference Sequence
Published in
PLoS Genetics, September 2011
DOI 10.1371/journal.pgen.1002280
Pubmed ID
Authors

Frederick E. Dewey, Rong Chen, Sergio P. Cordero, Kelly E. Ormond, Colleen Caleshu, Konrad J. Karczewski, Michelle Whirl-Carrillo, Matthew T. Wheeler, Joel T. Dudley, Jake K. Byrnes, Omar E. Cornejo, Joshua W. Knowles, Mark Woon, Katrin Sangkuhl, Li Gong, Caroline F. Thorn, Joan M. Hebert, Emidio Capriotti, Sean P. David, Aleksandra Pavlovic, Anne West, Joseph V. Thakuria, Madeleine P. Ball, Alexander W. Zaranek, Heidi L. Rehm, George M. Church, John S. West, Carlos D. Bustamante, Michael Snyder, Russ B. Altman, Teri E. Klein, Atul J. Butte, Euan A. Ashley

Abstract

Whole-genome sequencing harbors unprecedented potential for characterization of individual and family genetic variation. Here, we develop a novel synthetic human reference sequence that is ethnically concordant and use it for the analysis of genomes from a nuclear family with history of familial thrombophilia. We demonstrate that the use of the major allele reference sequence results in improved genotype accuracy for disease-associated variant loci. We infer recombination sites to the lowest median resolution demonstrated to date (< 1,000 base pairs). We use family inheritance state analysis to control sequencing error and inform family-wide haplotype phasing, allowing quantification of genome-wide compound heterozygosity. We develop a sequence-based methodology for Human Leukocyte Antigen typing that contributes to disease risk prediction. Finally, we advance methods for analysis of disease and pharmacogenomic risk across the coding and non-coding genome that incorporate phased variant data. We show these methods are capable of identifying multigenic risk for inherited thrombophilia and informing the appropriate pharmacological therapy. These ethnicity-specific, family-based approaches to interpretation of genetic variation are emblematic of the next generation of genetic risk assessment using whole-genome sequencing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 47 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 365 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 25 7%
United Kingdom 6 2%
Italy 5 1%
France 4 1%
Netherlands 2 <1%
Germany 2 <1%
Norway 1 <1%
Australia 1 <1%
Sweden 1 <1%
Other 10 3%
Unknown 308 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 117 32%
Student > Ph. D. Student 78 21%
Other 41 11%
Professor > Associate Professor 26 7%
Professor 19 5%
Other 53 15%
Unknown 31 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 156 43%
Biochemistry, Genetics and Molecular Biology 67 18%
Medicine and Dentistry 46 13%
Computer Science 14 4%
Engineering 9 2%
Other 31 8%
Unknown 42 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 26 December 2023.
All research outputs
#582,340
of 25,554,853 outputs
Outputs from PLoS Genetics
#361
of 8,984 outputs
Outputs of similar age
#2,153
of 137,429 outputs
Outputs of similar age from PLoS Genetics
#4
of 144 outputs
Altmetric has tracked 25,554,853 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has done particularly well, scoring higher than 95% 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 137,429 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 98% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.