↓ Skip to main content

Polymorphism in a lincRNA Associates with a Doubled Risk of Pneumococcal Bacteremia in Kenyan Children

Overview of attention for article published in American Journal of Human Genetics, May 2016
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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
9 news outlets
twitter
18 X users
facebook
2 Facebook pages

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
90 Mendeley
citeulike
3 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
Polymorphism in a lincRNA Associates with a Doubled Risk of Pneumococcal Bacteremia in Kenyan Children
Published in
American Journal of Human Genetics, May 2016
DOI 10.1016/j.ajhg.2016.03.025
Pubmed ID
Authors

The Kenyan Bacteraemia Study Group, Wellcome Trust Case Control Consortium, Anna Rautanen, Matti Pirinen, Tara C. Mills, Kirk A. Rockett, Amy Strange, Anne W. Ndungu, Vivek Naranbhai, James J. Gilchrist, Céline Bellenguez, Colin Freeman, Gavin Band, Suzannah J. Bumpstead, Sarah Edkins, Eleni Giannoulatou, Emma Gray, Serge Dronov, Sarah E. Hunt, Cordelia Langford, Richard D. Pearson, Zhan Su, Damjan Vukcevic, Alex W. Macharia, Sophie Uyoga, Carolyne Ndila, Neema Mturi, Patricia Njuguna, Shebe Mohammed, James A. Berkley, Isaiah Mwangi, Salim Mwarumba, Barnes S. Kitsao, Brett S. Lowe, Susan C. Morpeth, Iqbal Khandwalla, The Kilifi Bacteraemia Surveillance Group, Jenefer M. Blackwell, Elvira Bramon, Matthew A. Brown, Juan P. Casas, Aiden Corvin, Audrey Duncanson, Janusz Jankowski, Hugh S. Markus, Christopher G. Mathew, Colin N.A. Palmer, Robert Plomin, Stephen J. Sawcer, Richard C. Trembath, Ananth C. Viswanathan, Nicholas W. Wood, Panos Deloukas, Leena Peltonen, Thomas N. Williams, J. Anthony G. Scott, Stephen J. Chapman, Peter Donnelly, Adrian V.S. Hill, Chris C.A. Spencer

Abstract

Bacteremia (bacterial bloodstream infection) is a major cause of illness and death in sub-Saharan Africa but little is known about the role of human genetics in susceptibility. We conducted a genome-wide association study of bacteremia susceptibility in more than 5,000 Kenyan children as part of the Wellcome Trust Case Control Consortium 2 (WTCCC2). Both the blood-culture-proven bacteremia case subjects and healthy infants as controls were recruited from Kilifi, on the east coast of Kenya. Streptococcus pneumoniae is the most common cause of bacteremia in Kilifi and was thus the focus of this study. We identified an association between polymorphisms in a long intergenic non-coding RNA (lincRNA) gene (AC011288.2) and pneumococcal bacteremia and replicated the results in the same population (p combined = 1.69 × 10(-9); OR = 2.47, 95% CI = 1.84-3.31). The susceptibility allele is African specific, derived rather than ancestral, and occurs at low frequency (2.7% in control subjects and 6.4% in case subjects). Our further studies showed AC011288.2 expression only in neutrophils, a cell type that is known to play a major role in pneumococcal clearance. Identification of this novel association will further focus research on the role of lincRNAs in human infectious disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
United Kingdom 1 1%
Netherlands 1 1%
Unknown 87 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Researcher 14 16%
Student > Bachelor 14 16%
Student > Postgraduate 8 9%
Professor 6 7%
Other 18 20%
Unknown 14 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 19%
Medicine and Dentistry 17 19%
Agricultural and Biological Sciences 12 13%
Nursing and Health Professions 9 10%
Immunology and Microbiology 3 3%
Other 16 18%
Unknown 16 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 71. 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 11 May 2017.
All research outputs
#600,669
of 25,373,627 outputs
Outputs from American Journal of Human Genetics
#283
of 5,878 outputs
Outputs of similar age
#11,710
of 351,834 outputs
Outputs of similar age from American Journal of Human Genetics
#7
of 66 outputs
Altmetric has tracked 25,373,627 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 5,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. 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 351,834 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 96% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.