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The Domestic and International Impacts of the 2009-H1N1 Influenza A Pandemic: Global Challenges, Global Solutions: Workshop Summary (2010)
Board on Global Health (BGH)

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. "A14 Origins and Evolutionary Genomics of the 2009 Swine-Origin H1N1 Influenza A Epidemic." The Domestic and International Impacts of the 2009-H1N1 Influenza A Pandemic: Global Challenges, Global Solutions: Workshop Summary. Washington, DC: The National Academies Press, 2010.

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The Domestic and International Impacts of the 2009-H1N1 Influenza a Pandemic: Global Challenges, Global Solutions - Workshop Summary
SUPPLEMENTARY FIGURE A14-5 For each gene segment (PB2, PB1, PA, HA, NP, NA, M & NS), we plot the isolation date of each influenza sequence against the genetic distance from that sequence to the root of the phylogeny. The linear regression gradient is therefore an estimate of the rate of sequence evolution and the x-intercept is an estimate of the TMRCA of the whole phylogeny. Phylogenies were estimated using neighbour-joining, with rooting chosen to maximise the regression fit. The chosen root was typically very close to the earliest sampled sequence. Residual analysis was performed to identify and remove significant outliers, which most likely result from isolation data annotation errors in the sequence database. For each gene, the degree of scatter about the linear regression reflects evolutionary rate heterogeneity among lineages, such that a “strict clock” corresponds to all the points falling exactly on the regression line. The 2009 outbreak sequences (highlighted in light blue) are entirely typically of the long termtrends in divergence, hence there is no evidence that the branch leading to the outbreak has evolved unusually rapidly or slowly. For further discussion of this methodology, see Drummond AJ, Pybus OG, Rambaut A. 2003. Inference of viral evolutionary rates from molecular sequences. Advances in Parasitology 54:331-358.

SUPPLEMENTARY FIGURE A14-5 For each gene segment (PB2, PB1, PA, HA, NP, NA, M & NS), we plot the isolation date of each influenza sequence against the genetic distance from that sequence to the root of the phylogeny. The linear regression gradient is therefore an estimate of the rate of sequence evolution and the x-intercept is an estimate of the TMRCA of the whole phylogeny. Phylogenies were estimated using neighbour-joining, with rooting chosen to maximise the regression fit. The chosen root was typically very close to the earliest sampled sequence. Residual analysis was performed to identify and remove significant outliers, which most likely result from isolation data annotation errors in the sequence database. For each gene, the degree of scatter about the linear regression reflects evolutionary rate heterogeneity among lineages, such that a “strict clock” corresponds to all the points falling exactly on the regression line. The 2009 outbreak sequences (highlighted in light blue) are entirely typically of the long termtrends in divergence, hence there is no evidence that the branch leading to the outbreak has evolved unusually rapidly or slowly. For further discussion of this methodology, see Drummond AJ, Pybus OG, Rambaut A. 2003. Inference of viral evolutionary rates from molecular sequences. Advances in Parasitology 54:331-358.

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370
Front Matter (R1-R22)
Workshop Overview (1-94)
Appendix A1 Technical Report for State and Local Public Health Officials and School Administrators on CDC Guidance for School (K-12) Responses to Influenza during the 2009-2010 School Year (95-110)
A2 Predicting Emerging Diseases in the Twenty-first Century: The Case of Zoonotic Influenza (111-119)
A3 The Spring 2009 Influenza A H1N1 Outbreak: A Local Public Health Perspective (120-136)
A4 I nternational Law and Equitable Access to Vaccines and Antivirals in the Context of 2009-H1N1 Influenza (137-154)
A5 In Vitro and In Vivo Characterization of New Swine-Origin H1N1 Influenza Viruses (155-190)
A6 Estimation of the Reproductive Number and the Serial Interval in Early Phase of the 2009 Influenza A⁄H1N1 Pandemic in the USA (191-207)
A7 The Severity of Pandemic H1N1 Influenza in the United States, from April to July 2009: A Bayesian Analysis (208-247)
A8 Hard Choices in Difficult Situations: Ethical Issues in Public Health Emergencies (248-268)
A9 Rumors of Pandemic: Monitoring Emerging Disease Outbreaks on the Internet (269-282)
A10 Preliminary Observation of the Epidemiology of Seasonal and Pandemic Influenza A (H1N1) in South Africa, 2009 (283-296)
A11 Reflections on the 1976 Swine Flu Vaccination Program (297-305)
A12 Southern Hemisphere, Northern Hemisphere: A Global Influenza World (306-326)
A13 Influenza (H1N1) Pandemic 2009 (327-341)
A14 Origins and Evolutionary Genomics of the 2009 Swine-Origin H1N1 Influenza A Epidemic (342-380)
Appendix B Agenda (381-385)
Appendix C Acronyms (386-388)
Appendix D Glossary (389-396)
Appendix E Forum Member Biographies (397-418)