Molecular Epidemiology of Mycobacterium tuberculosis To Describe the Transmission Dynamics Among Inuit Residing in Iqaluit Nunavut Using Whole-Genome Sequencing

Author:

Alvarez Gonzalo G1234,Zwerling Alice A14,Duncan Carla5,Pease Christopher23,Van Dyk Deborah2,Behr Marcel A46,Lee Robyn S46,Mulpuru Sunita123,Pakhale Smita123,Cameron D William123,Aaron Shawn D123,Patterson Michael7,Allen Jean8,Sullivan Kathryn9,Jolly Anne1,Sharma Meenu K1011,Jamieson Frances B512

Affiliation:

1. School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada

2. Ottawa Hospital Research Institute, Ottawa, Ontario, Canada

3. Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada

4. McGill International Tuberculosis Centre, McGill University Health Centre, Montreal, Quebec, Canada

5. Public Health Ontario Laboratory, Public Health Ontario, Toronto, Ontario, Canada

6. The Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada

7. Department of Health, Government of Nunavut, Iqaluit, Nunavut, Canada

8. Nunavut Tunngavik Inc, Iqaluit, Nunavut, Canada

9. School of Medicine, University of Ottawa, Ottawa, Ontario, Canada

10. National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada

11. Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada

12. Department of Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada

Abstract

Abstract Background In the last decade, tuberculosis (TB) incidence among Inuit in the Canadian Arctic has been rising. Our aim was to better understand the transmission dynamics of TB in this remote region of Canada using whole-genome sequencing. Methods Isolates from patients who had culture-positive pulmonary TB in Iqaluit, Nunavut, between 2009 and 2015 underwent whole-genome sequencing (WGS). The number of transmission events between cases within clusters was calculated using a threshold of a ≤3 single nucleotide polymorphism (SNP) difference between isolates and then combined with detailed epidemiological data using a reproducible novel algorithm. Social network analysis of epidemiological data was used to support the WGS data analysis. Results During the study period, 140 Mycobacterium tuberculosis isolates from 135 cases were sequenced. Four clusters were identified, all from Euro-American lineage. One cluster represented 62% of all cases that were sequenced over the entire study period. In this cluster, 2 large chains of transmission were associated with 3 superspreading events in a homeless shelter. One of the superspreading events was linked to a nonsanctioned gambling house that resulted in further transmission. Shelter to nonshelter transmission was also confirmed. An algorithm developed for the determination of transmission events demonstrated very good reproducibility (κ score .98, 95% confidence interval, .97–1.0). Conclusions Our study suggests that socioeconomic factors, namely residing in a homeless shelter and spending time in a gambling house, combined with the superspreading event effect may have been significant factors explaining the rise in cases in this predominantly Inuit Arctic community.

Funder

Canadian High Arctic Research Station

Ottawa Hospital

Division of Respirology

Ontario Thoracic Society

Canadian Institutes of Health Research

Genomic Research Development Initiative

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Reference30 articles.

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