Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania

Four genome-wide associated loci are currently known for malaria susceptibility. Here, the authors expand on earlier work by combining data from 11 malaria-endemic countries and additional population sequencing informing an African-enriched imputation reference panel, with findings including a previ...

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Autor principal: Malaria Genomic Epidemiology Network
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/aca3aa34c358488385be0b7f8da3d746
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spelling oai:doaj.org-article:aca3aa34c358488385be0b7f8da3d7462021-12-02T16:57:10ZInsights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania10.1038/s41467-019-13480-z2041-1723https://doaj.org/article/aca3aa34c358488385be0b7f8da3d7462019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13480-zhttps://doaj.org/toc/2041-1723Four genome-wide associated loci are currently known for malaria susceptibility. Here, the authors expand on earlier work by combining data from 11 malaria-endemic countries and additional population sequencing informing an African-enriched imputation reference panel, with findings including a previously unreported association on chromosome 6.Malaria Genomic Epidemiology NetworkNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-19 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Malaria Genomic Epidemiology Network
Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania
description Four genome-wide associated loci are currently known for malaria susceptibility. Here, the authors expand on earlier work by combining data from 11 malaria-endemic countries and additional population sequencing informing an African-enriched imputation reference panel, with findings including a previously unreported association on chromosome 6.
format article
author Malaria Genomic Epidemiology Network
author_facet Malaria Genomic Epidemiology Network
author_sort Malaria Genomic Epidemiology Network
title Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania
title_short Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania
title_full Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania
title_fullStr Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania
title_full_unstemmed Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania
title_sort insights into malaria susceptibility using genome-wide data on 17,000 individuals from africa, asia and oceania
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/aca3aa34c358488385be0b7f8da3d746
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