↓ Skip to main content

Genetic Mapping and Exome Sequencing Identify Variants Associated with Five Novel Diseases

Overview of attention for article published in PLOS ONE, January 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
16 patents

Citations

dimensions_citation
263 Dimensions

Readers on

mendeley
241 Mendeley
citeulike
2 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
Genetic Mapping and Exome Sequencing Identify Variants Associated with Five Novel Diseases
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0028936
Pubmed ID
Authors

Erik G. Puffenberger, Robert N. Jinks, Carrie Sougnez, Kristian Cibulskis, Rebecca A. Willert, Nathan P. Achilly, Ryan P. Cassidy, Christopher J. Fiorentini, Kory F. Heiken, Johnny J. Lawrence, Molly H. Mahoney, Christopher J. Miller, Devika T. Nair, Kristin A. Politi, Kimberly N. Worcester, Roni A. Setton, Rosa DiPiazza, Eric A. Sherman, James T. Eastman, Christopher Francklyn, Susan Robey-Bond, Nicholas L. Rider, Stacey Gabriel, D. Holmes Morton, Kevin A. Strauss

Abstract

The Clinic for Special Children (CSC) has integrated biochemical and molecular methods into a rural pediatric practice serving Old Order Amish and Mennonite (Plain) children. Among the Plain people, we have used single nucleotide polymorphism (SNP) microarrays to genetically map recessive disorders to large autozygous haplotype blocks (mean = 4.4 Mb) that contain many genes (mean = 79). For some, uninformative mapping or large gene lists preclude disease-gene identification by Sanger sequencing. Seven such conditions were selected for exome sequencing at the Broad Institute; all had been previously mapped at the CSC using low density SNP microarrays coupled with autozygosity and linkage analyses. Using between 1 and 5 patient samples per disorder, we identified sequence variants in the known disease-causing genes SLC6A3 and FLVCR1, and present evidence to strongly support the pathogenicity of variants identified in TUBGCP6, BRAT1, SNIP1, CRADD, and HARS. Our results reveal the power of coupling new genotyping technologies to population-specific genetic knowledge and robust clinical data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Netherlands 1 <1%
Brazil 1 <1%
France 1 <1%
United Kingdom 1 <1%
South Africa 1 <1%
Unknown 234 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 20%
Student > Ph. D. Student 38 16%
Student > Master 24 10%
Student > Bachelor 23 10%
Other 16 7%
Other 45 19%
Unknown 46 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 29%
Medicine and Dentistry 47 20%
Biochemistry, Genetics and Molecular Biology 46 19%
Neuroscience 10 4%
Nursing and Health Professions 4 2%
Other 12 5%
Unknown 51 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 September 2023.
All research outputs
#2,383,555
of 22,661,413 outputs
Outputs from PLOS ONE
#30,450
of 193,502 outputs
Outputs of similar age
#19,720
of 245,786 outputs
Outputs of similar age from PLOS ONE
#395
of 3,288 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 84% 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 245,786 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 91% of its contemporaries.
We're also able to compare this research output to 3,288 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.