California s Experiences Using Tuberculosis Whole Genome Sequencing

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Transcription:

California s Experiences Using Tuberculosis Whole Genome Sequencing Martin Cilnis MS, MPH Epidemiologist California Department of Public Health, TB Control Branch, Outbreak Prevention and Control Section 510-620-3015, Martin.Cilnis@cdph.ca.gov 1

Objective Describe how whole-genome sequencing (WGS) data has been used to better understand outbreak-related tuberculosis (TB) transmission dynamics and focus public health action 2

Tuberculosis in California 7.5% Importation Cases diagnosed within 1 year of arrival in U.S. 13% Recent Transmission CDC plausible source case method* 79.5% Reactivation of remote infection ~2,100 TB Cases in 2015 * France et al, Am J Epidemiol. 2015 3

Discriminatory Power of Molecular Methods >90% of M. tb genome 4

CDC Outbreak Detection Using TB Genotyping* TB genotype cluster alerts: Generated when a genotype has a higher than expected concentration within a county compared to other counties in the US in a 3-year window Large outbreak surveillance: 10 TB cases in a 3-year period related by recent transmission *Spoligotype and MIRU-24 5

Number of Alerts CDC TB Genotype Cluster Alerts in CA, 2011-2015 50 40 30 20 10 19 25 28 33 40 0 2011 2012 2013 2014 2015 Year of Alert 6

Steps of a TB Genotype Cluster Investigation TB genotype cluster alert received by TB outbreak team Prioritize genotype clusters Higher priority Notify local health departments Lower/no priority Monitor genotype Investigation Implement interventions 7

CA s Criteria for Requesting TB WGS Inform decisions on where to focus public health action Help confirm or refute that a genotype cluster is an outbreak Confirm transmission hypotheses Determine which cases are due to recent versus remote transmission in large multi-year outbreaks 8

TB WGS in California, 2013-2015 13 clusters 10 clusters with complete WGS results 3 clusters with pending WGS results 6 clusters refuted as large outbreaks 2 outbreaks confirmed 2 pending epi data to confirm outbreak 9

Example 1: Suspected TB Outbreak Refuted By WGS Preliminary epidemiologic investigation findings: 2 likely transmission groups in 3 different counties WGS confirmed findings Background: CDC alert, higher priority cluster 10 cases in 5 central CA counties reported since 2013 Mostly Asian-born cases, one US-born child Majority had infectious TB Rare genotype: only one other TB case outside of CA 10

Example 1 2 cases in County B and C 4 cases in County A Most Recent Common Ancestor (MRCA)

Example 2: TB Genotype Cluster Refuted as a Large Outbreak by WGS Investigation identified epidemiologic links among a small subset of cases in the large cluster Epi links were confirmed and refuted by WGS Background: higher priority cluster Genotype primarily found in one CA county High percentage of US-born blacks 12

Example 2 MRCA Two 2010 cases lived in close proximity to each other 13

Example 3: TB Genotype Cluster Confirmed as a Large Outbreak by WGS WGS helped to: Confirm outbreak transmission hypotheses Determine which cases are due to recent versus remote transmission in large multi-year outbreaks Identify previously unsuspected transmission links 14

Background Large confirmed outbreak of 26 cases 2012-2015 Investigation priorities based largely on hypothesis of a single patient identified as most likely source case for 15 secondary cases 7 TB cases with the same genotype diagnosed before 2012, some in other CA counties or States 15

Example 3 MRCA Pre-2012 cases 16

Summary of California s Experiences Save resources Using Tuberculosis WGS Refute large outbreaks before launching an investigation Improve efficacy of outbreak investigations Focus investigations on small sub-clusters of cases that may be linked by recent transmission Distinguish which cases are due to recent vs. remote transmission in large multi-year outbreaks Test outbreak transmission hypotheses 17

Next Steps Build TB program capacity to interpret and apply WGS to outbreak investigations: Training Visual analysis tools Evaluation of WGS results to inform which clusters should be selected for sequencing Continue collaboration in the CDC/APHL WGS project 18

Acknowledgements County Local health department partners State California TB Control Branch California Microbial Diseases Laboratory Federal: CDC Division of TB Elimination APHL 19

Thank You! 20