A multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- and South African cohort

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dc.contributor.authorMüller J. Stephanie
dc.contributor.authorSchurz Haiko
dc.contributor.authorOwusu-Dabo Ellis
dc.contributor.authorTromp Gerard
dc.contributor.authorHoal G. Eileen....et al
dc.date.accessioned2023-12-06T13:11:17Z
dc.date.available2023-12-06T13:11:17Z
dc.date.issued2021
dc.descriptionThis article is published by Elsevier and is also available at www.elsevier.com/locate/ygeno
dc.description.abstractDespite decades of research and advancements in diagnostics and treatment, tuberculosis remains a major public health concern. New computational methods are needed to interrogate the intersection of host- and bacterial genomes. Paired host genotype datum and infecting bacterial isolate information were analysed for associations using a multinomial logistic regression framework implemented in SNPTest. A cohort of 853 admixed South African participants and a Ghanaian cohort of 1359 participants were included. Two directly genotyped variants, namely rs529920 and rs41472447, were identified in the Ghanaian cohort as being statistically significantly associated with risk for infection with strains of different members of the MTBC. Thus, a multinomial logistic regression using paired host-pathogen data may prove valuable for investigating the complex relationships driving infectious disease.
dc.description.sponsorshipKNUST
dc.identifier.citationGenomics 113 (2021) 1802–1815
dc.identifier.uri10.1016/j.ygeno.2021.04.024
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/14664
dc.language.isoen
dc.publisherELSEVIER
dc.titleA multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- and South African cohort
dc.typeArticle
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