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Genome-wide and fine-resolution association analysis of malaria in West Africa

Overview of attention for article published in Nature Genetics, May 2009
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  • In the top 25% 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 (75th percentile)

Citations

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345 Dimensions

Readers on

mendeley
460 Mendeley
citeulike
4 CiteULike
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3 Connotea
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Title
Genome-wide and fine-resolution association analysis of malaria in West Africa
Published in
Nature Genetics, May 2009
DOI 10.1038/ng.388
Pubmed ID
Authors

Muminatou Jallow, Yik Ying Teo, Kerrin S Small, Kirk A Rockett, Panos Deloukas, Taane G Clark, Katja Kivinen, Kalifa A Bojang, David J Conway, Margaret Pinder, Giorgio Sirugo, Fatou Sisay-Joof, Stanley Usen, Sarah Auburn, Suzannah J Bumpstead, Susana Campino, Alison Coffey, Andrew Dunham, Andrew E Fry, Angela Green, Rhian Gwilliam, Sarah E Hunt, Michael Inouye, Anna E Jeffreys, Alieu Mendy, Aarno Palotie, Simon Potter, Jiannis Ragoussis, Jane Rogers, Kate Rowlands, Elilan Somaskantharajah, Pamela Whittaker, Claire Widden, Peter Donnelly, Bryan Howie, Jonathan Marchini, Andrew Morris, Miguel SanJoaquin, Eric Akum Achidi, Tsiri Agbenyega, Angela Allen, Olukemi Amodu, Patrick Corran, Abdoulaye Djimde, Amagana Dolo, Ogobara K Doumbo, Chris Drakeley, Sarah Dunstan, Jennifer Evans, Jeremy Farrar, Deepika Fernando, Tran Tinh Hien, Rolf D Horstmann, Muntaser Ibrahim, Nadira Karunaweera, Gilbert Kokwaro, Kwadwo A Koram, Martha Lemnge, Julie Makani, Kevin Marsh, Pascal Michon, David Modiano, Malcolm E Molyneux, Ivo Mueller, Michael Parker, Norbert Peshu, Christopher V Plowe, Odile Puijalon, John Reeder, Hugh Reyburn, Eleanor M Riley, Anavaj Sakuntabhai, Pratap Singhasivanon, Sodiomon Sirima, Adama Tall, Terrie E Taylor, Mahamadou Thera, Marita Troye-Blomberg, Thomas N Williams, Michael Wilson, Dominic P Kwiatkowski

Abstract

We report a genome-wide association (GWA) study of severe malaria in The Gambia. The initial GWA scan included 2,500 children genotyped on the Affymetrix 500K GeneChip, and a replication study included 3,400 children. We used this to examine the performance of GWA methods in Africa. We found considerable population stratification, and also that signals of association at known malaria resistance loci were greatly attenuated owing to weak linkage disequilibrium (LD). To investigate possible solutions to the problem of low LD, we focused on the HbS locus, sequencing this region of the genome in 62 Gambian individuals and then using these data to conduct multipoint imputation in the GWA samples. This increased the signal of association, from P = 4 × 10(-7) to P = 4 × 10(-14), with the peak of the signal located precisely at the HbS causal variant. Our findings provide proof of principle that fine-resolution multipoint imputation, based on population-specific sequencing data, can substantially boost authentic GWA signals and enable fine mapping of causal variants in African populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 460 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 11 2%
United States 9 2%
Germany 3 <1%
France 2 <1%
Brazil 2 <1%
Tanzania, United Republic of 1 <1%
Italy 1 <1%
Uganda 1 <1%
Kenya 1 <1%
Other 10 2%
Unknown 419 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 109 24%
Student > Ph. D. Student 85 18%
Student > Master 53 12%
Student > Bachelor 45 10%
Professor 27 6%
Other 96 21%
Unknown 45 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 187 41%
Biochemistry, Genetics and Molecular Biology 82 18%
Medicine and Dentistry 59 13%
Computer Science 13 3%
Immunology and Microbiology 12 3%
Other 39 8%
Unknown 68 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 18 May 2020.
All research outputs
#1,721,740
of 26,017,215 outputs
Outputs from Nature Genetics
#2,421
of 7,639 outputs
Outputs of similar age
#5,267
of 121,535 outputs
Outputs of similar age from Nature Genetics
#15
of 61 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 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 68% 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 121,535 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 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.