What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers...

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cdc.gov/coronavirus What is genomic epidemiology? COVID-19 Genomic Epidemiology Toolkit: Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention

Transcript of What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers...

Page 1: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

cdc.gov/coronavirus

What is genomic epidemiology?

COVID-19 Genomic Epidemiology Toolkit: Module 1.1

Nancy Chow, PhDBioinformatics and Informatics LeadCenters for Disease Control and Prevention

Page 2: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Toolkit map

Part 1: Introduction

1.1 What is genomic epidemiology?

1.2 The SARS-CoV-2 genome

1.3 How to read phylogenetic trees

Part 2: Case Studies

2.1 SARS-CoV-2 sequencing in Arizona

2.2 Healthcare cluster transmission

2.3 Community Transmission

Part 3: Implementation

3.1 Getting started with Nextstrain

3.2 Getting started with MicrobeTrace

3.3 Linking epidemiologic data

1.1 What is genomic epidemiology?

Page 3: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Genomic epidemiology

Epidemiology: study of the distribution and determinants of health-related outcomes in a specified population and the application of this study to control health problems

Genomic epidemiology: use of pathogen genomic data to determine the distribution and spread of an infectious disease in a specified population and the application of this information to control health problems

Page 4: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Rationale for Sequencing of SARS-CoV-2

Monitor trends at the national levelꟷ Monitor emergence of important new strainsꟷ Monitor trends after interventions such as vaccination

Better understand epidemiology at the local levelꟷ Investigate clusters for transmission in a variety of settings

(healthcare, workplace, bar, etc.)ꟷ Provide evidence for or against suspected transmissionꟷ Reveal important, unsuspected clusters

Page 5: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

SARS-CoV-2 sequencing: A powerful tool for epidemiologic investigation

Adapted from The Washington Post article: https://www.washingtonpost.com/graphics/2020/health/coronavirus-genetic-code/

Page 6: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

SARS-CoV-2 sequencing: A powerful tool for epidemiologic investigation

Identify hotspots of transmission

Adapted from The Washington Post article: https://www.washingtonpost.com/graphics/2020/health/coronavirus-genetic-code/

Page 7: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

SARS-CoV-2 sequencing: A powerful tool for epidemiologic investigation

Identify multiple introductions –

dispel transmission

Adapted from The Washington Post article: https://www.washingtonpost.com/graphics/2020/health/coronavirus-genetic-code/

Page 8: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

SARS-CoV-2 sequencing: A powerful tool for epidemiologic investigation

Supplement to contact tracing

Adapted from The Washington Post article: https://www.washingtonpost.com/graphics/2020/health/coronavirus-genetic-code/

Page 9: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Additional ways to use SARS-CoV-2 sequencing data

Identify introductions and sources Identify superspreading events Predict severity and size of future outbreak seasons

Page 10: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Utility of sequencing

Sequencing generates a genomic fingerprint

Mutations demonstrate a change in that genomic fingerprint

Sequencing allows us compare the genomic fingerprints to see how they are related

Page 11: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

RNA whole-genome sequencing (WGS)

Image from Peter Thielen

Step 1 Step 2 Step 3 Step 4 Step 5

Page 12: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Common sequencing platforms

More accurate, short reads High throughput Relatively high up-front equipment costs Most widely used platform currently in US public

health system

Short-read technology

Less accurate, long reads Generates data more rapidly Low capital costs Portable In US public health system, used for

specific applications

Ex. MiSeq

Long-read technology

Ex. MinION

Use of trade names and commercial sources is for identification only and does not imply endorsement by the U.S. Department of Health and Human Services.

Page 13: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Epidemic process

Image adapted from Trevor Bedford Group: https://docs.nextstrain.org

All cases in transmission network represented over time

Page 14: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Sample individualsA

B

C

D

E

F

Image adapted from Trevor Bedford Group: https://docs.nextstrain.org

Genomic sequences are available for only some cases

Page 15: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Sequence

Image adapted from Trevor Bedford Group: https://docs.nextstrain.org

A

B

C

D

E

F

By sequencing, connections can be made

Page 16: What is genomic epidemiology?Module 1.1 Nancy Chow, PhD Bioinformatics and Informatics Lead Centers for Disease Control and Prevention Toolkit map Part 1: Introduction 1.1 What is

Determine phylogeny

Image adapted from Trevor Bedford Group: https://docs.nextstrain.org

A

B

C

D

E

F

These are then represented in a phylogenetic tree

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Inferring relatedness

A B C DEF

A

BC

D

E

F

Infers relatedness among the cases

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Monitor national trends

Images from Trevor Bedford Group: https://docs.nextstrain.org

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Monitor national trends – UK example

Led by COVID-19 Genomics UK (COG-UK) consortiuminvolving Public Health Agencies, universities,sequencing centers, & Wellcome Sanger Institute

Since March 2020, the United Kingdom has used SARS-CoV-2 sequence data for 120 live and retrospective public health outbreak investigationsꟷ Captured disappearance of specific lineage after Scotland lockdown in spring 2020ꟷ Captured sudden expansion of a specific lineage linked to relaxation of control measuresꟷ Performed association studies to see if disease severity varied by lineage

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Facility A

Trees drawn with Nextstrain

Understand local epidemiology

Lehnertz N. Minnesota Department of Health

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Understand local epidemiology – US examples

In a Washington state skilled nursing facility, SARS-CoV-2 sequence data helped demonstrate1:ꟷ Widespread transmission in the facilityꟷ Sole focus on symptomatic residents is not sufficient to prevent transmission

Working with Major League Baseball, public health identified2:ꟷ A superspreading event within Team A where interactions outside of game play

were the likely source of transmission

1. Arons MM, Hatfield KM, Reddy SC, Kimball A, James A, Jacobs JR, et al. Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility. N Engl J Med. 2020;382(22):2081-90.

2. Murray MT, Riggs MA, Engelthaler DM, Johnson C, Watkins S, Longenberger A, et al. Mitigating a COVID-19 Outbreak Among Major League Baseball Players - United States, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(42):1542-6.

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Learn more Other introduction modules

– The SARS-CoV-2 genomes – Module 1.2– How to read a phylogenetic tree – Module 1.3

COVID-19 Genomic Epidemiology Toolkit– Find further reading– Subscribe to receive updates on new modules as they are released– go.usa.gov/xAbMw

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For more information, contact CDC1-800-CDC-INFO (232-4636)TTY: 1-888-232-6348 www.cdc.gov

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.