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A novel locus of resistance to severe malaria in a region of ancient balancing selection

Overview of attention for article published in Nature, September 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
25 news outlets
blogs
5 blogs
twitter
94 X users
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
181 Dimensions

Readers on

mendeley
305 Mendeley
citeulike
3 CiteULike
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Title
A novel locus of resistance to severe malaria in a region of ancient balancing selection
Published in
Nature, September 2015
DOI 10.1038/nature15390
Pubmed ID
Authors

Gavin Band, Kirk A. Rockett, Chris C. A. Spencer, Dominic P. Kwiatkowski, Gavin Band, Quang Si Le, Geraldine M. Clarke, Katja Kivinen, Ellen M. Leffler, Kirk A. Rockett, Dominic P. Kwiatkowski, Chris C. A. Spencer, Kirk A. Rockett, Chris C. A. Spencer, Victoria Cornelius, David J. Conway, Thomas N. Williams, Terrie Taylor, Dominic P. Kwiatkowski, David J. Conway, Kalifa A. Bojang, Ogobara Doumbo, Mahamadou A. Thera, David Modiano, Sodiomon B. Sirima, Michael D. Wilson, Kwadwo A. Koram, Tsiri Agbenyega, Eric Achidi, Thomas N. Williams, Kevin Marsh, Hugh Reyburn, Chris Drakeley, Eleanor Riley, Terrie Taylor, Malcolm Molyneux, Muminatou Jallow, Kalifa A. Bojang, David J. Conway, Margaret Pinder, Ogobara Doumbo, Mahamadou A. Thera, Ousmane B. Toure, Salimata Konate, Sibiri Sissoko, Edith C. Bougouma, Valentina D. Mangano, David Modiano, Sodiomon B. Sirima, Lucas N. Amenga-Etego, Anita K. Ghansah, Abraham V. O. Hodgson, Kwadwo A. Koram, Michael D. Wilson, Tsiri Agbenyega, Daniel Ansong, Anthony Enimil, Jennifer Evans, Eric Achidi, Tobias O. Apinjoh, Alexander Macharia, Kevin Marsh, Carolyne M. Ndila, Charles Newton, Norbert Peshu, Sophie Uyoga, Thomas N. Williams, Chris Drakeley, Alphaxard Manjurano, Hugh Reyburn, Eleanor Riley, David Kachala, Malcolm Molyneux, Vysaul Nyirongo, Terrie Taylor, Kirk A. Rockett, Katja Kivinen, Daniel Mead, Eleanor Drury, Sarah Auburn, Susana G. Campino, Bronwyn MacInnis, Jim Stalker, Emma Gray, Christina Hubbart, Anna E. Jeffreys, Kate Rowlands, Alieu Mendy, Rachel Craik, Kathryn Fitzpatrick, Sile Molloy, Lee Hart, Robert Hutton, Angeliki Kerasidou, Kimberly J. Johnson, Victoria Cornelius

Abstract

The high prevalence of sickle haemoglobin in Africa shows that malaria has been a major force for human evolutionary selection, but surprisingly few other polymorphisms have been proven to confer resistance to malaria in large epidemiological studies. To address this problem, we conducted a multi-centre genome-wide association study (GWAS) of life-threatening Plasmodium falciparum infection (severe malaria) in over 11,000 African children, with replication data in a further 14,000 individuals. Here we report a novel malaria resistance locus close to a cluster of genes encoding glycophorins that are receptors for erythrocyte invasion by P. falciparum. We identify a haplotype at this locus that provides 33% protection against severe malaria (odds ratio = 0.67, 95% confidence interval = 0.60-0.76, P value = 9.5 × 10(-11)) and is linked to polymorphisms that have previously been shown to have features of ancient balancing selection, on the basis of haplotype sharing between humans and chimpanzees. Taken together with previous observations on the malaria-protective role of blood group O, these data reveal that two of the strongest GWAS signals for severe malaria lie in or close to genes encoding the glycosylated surface coat of the erythrocyte cell membrane, both within regions of the genome where it appears that evolution has maintained diversity for millions of years. These findings provide new insights into the host-parasite interactions that are critical in determining the outcome of malaria infection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 94 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 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Ghana 1 <1%
Tanzania, United Republic of 1 <1%
Germany 1 <1%
Israel 1 <1%
China 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 292 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 22%
Researcher 53 17%
Student > Master 36 12%
Student > Bachelor 30 10%
Student > Doctoral Student 16 5%
Other 58 19%
Unknown 46 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 31%
Biochemistry, Genetics and Molecular Biology 86 28%
Medicine and Dentistry 28 9%
Immunology and Microbiology 10 3%
Computer Science 7 2%
Other 27 9%
Unknown 52 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 279. 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 17 September 2020.
All research outputs
#129,734
of 26,017,215 outputs
Outputs from Nature
#8,493
of 99,074 outputs
Outputs of similar age
#1,565
of 289,133 outputs
Outputs of similar age from Nature
#201
of 1,040 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one has done particularly well, scoring higher than 91% 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 289,133 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 99% of its contemporaries.
We're also able to compare this research output to 1,040 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.