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. 2018 Nov 1;16(1):122.
doi: 10.1186/s12915-018-0588-2.

From bacterial genomics to clinical epidemiology: an interview with Bill Hanage

Affiliations

From bacterial genomics to clinical epidemiology: an interview with Bill Hanage

William P Hanage. BMC Biol. .

Abstract

Bill Hanage is an Associate Professor of Epidemiology at Harvard School of Public Health, where he studies fundamental and applied epidemiology using genomic and evolutionary methods. Bill spoke to us about the different types of selection that determine pathogen populations, asking reviewers to highlight positives of papers, and whether we're closer to a causal framework for studying the microbiome.

Keywords: Epidemiology; Evolution; Genomics; Infectious disease; Microbiology; Population genetics.

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Conflict of interest statement

Competing interests

The author declares that he has no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

    1. Worby CJ, Chang HH, Hanage WP, Lipsitch M. The distribution of pairwise genetic distances: a tool for investigating disease transmission. Genetics. 2014;198(4):1395–1404. doi: 10.1534/genetics.114.171538. - DOI - PMC - PubMed
    1. Worby CJ, Lipsitch M, Hanage WP. Shared genomic variants: identification of transmission routes using pathogen deep-sequence data. Am J Epidemiol. 2017;186(10):1209–1216. doi: 10.1093/aje/kwx182. - DOI - PMC - PubMed
    1. Brinda K, Callendrello A, Cowley L, Charalampous T, Lee RS, MacFadden DR, et al. Lineage calling can identify antibiotic resistant clones within minutes. Preprint at bioRxiv. 2018. doi 10.1101/403204. https://www.biorxiv.org/content/early/2018/08/29/403204.
    1. Corander J, Fraser C, Gutmann MU, Arnold B, Hanage WP, Bentley SD, et al. Frequency-dependent selection in vaccine-associated pneumococcal population dynamics. Nat Ecol Evol. 2017;1(12):1950–1960. doi: 10.1038/s41559-017-0337-x. - DOI - PMC - PubMed
    1. Azarian T, Martinez PPP, Arnold BJ, Grant LR, Corander J, Fraser C, et al. Prediction of post-vaccine population structure of Streptococcus pneumoniae using accessory gene frequencies. Preprint at bioRxiv. 2018. doi 10.1101/420315. https://www.biorxiv.org/content/early/2018/09/18/420315

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