Author

Si Quang Le

Centre for Human GeneticsORCID 0000-0002-3715-210XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:variant calling· 1

Frequent Co-Authors

Alphaxard M. ManjuranoiD· 2 shared Anna E. JeffreysiD· 2 shared Carolyne NdilaiD· 2 shared Chris C. A. SpenceriD· 2 shared CHRIS J. DRAKELEYiD· 2 shared Christina HubbartiD· 2 shared David J. ConwayiD· 2 shared David ModianoiD· 2 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Alphaxard M. ManjuranoORCID

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2 papers

Recent·Most cited

New insights into malaria susceptibility from the genomes of 17,000 individuals from Africa, Asia, and Oceania

Malaria Genomic Epidemiology Network, Gavin Band, Si Quang Le, Geraldine M Clarke, Katja Kivinen, Christina Hubbart, Anna E. Jeffreys, Kate Rowlands, Ellen Miranda Leffler, Muminatou Jallow, David J. Conway, Fatoumatta Sisay-Joof, Giorgio Sirugo, Umberto D’Alessandro, Ousmane Touré, , Dominic P. Kwiatkowski

This study identifies five genome-wide associations with severe malaria risk in 17,000 individuals from Africa, Asia, and Oceania, including a new variant linked to cerebral malaria.

Nature Communications · Dec 16, 2019Peer-reviewedGenetics

Resistance to malaria through structural variation of red blood cell invasion receptors

Ellen Miranda Leffler, Gavin Band, George Busby, Katja Kivinen, Si Quang Le, Geraldine M Clarke, Kalifa Bojang, David J. Conway, Muminatou Jallow, Fatoumatta Sisay-Joof, Edith C. Christiane Bougouma, Valentina Dianora Mangano, David Modiano, Sodiomon Bienvenu Sirima, Eric Akum Achidi, , Malaria Genomic Epidemiology Network

The paper identifies a structural variant in GYPA and GYPB genes associated with reduced risk of severe malaria in sub-Saharan African populations.

Science · May 18, 2017Peer-reviewedGenomics