Multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- and South African cohort
Date
2021-04
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Inc.
Abstract
Despite 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.
Description
CITATION: Müller, S. J. et al. 2021. A multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- and South African cohort. Genomics 113 (2021) 1802–1815. doi.10.1016/j.ygeno.2021.04.024
The original publication is available at: sciencedirect.com
The original publication is available at: sciencedirect.com
Keywords
Mycobacterium tuberculosis, Tuberculosis -- Pathogenesis, Bacterial genomes
Citation
Müller, S. J. et al. 2021. A multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- and South African cohort. Genomics 113 (2021) 1802–1815. doi.10.1016/j.ygeno.2021.04.024