Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolution

• Published in: eLife Vol. 9
• Main Authors: Huddleston, John, Barnes, John R, Rowe, Thomas, Xu, Xiyan, Kondor, Rebecca, Wentworth, David E, Whittaker, Lynne, Ermetal, Burcu, Daniels, Rodney Stuart, McCauley, John W, Fujisaki, Seiichiro, Nakamura, Kazuya, Kishida, Noriko, Watanabe, Shinji, Hasegawa, Hideki, Barr, Ian, Subbarao, Kanta, Barrat-Charlaix, Pierre, Neher, Richard A, Bedford, Trevor
• Format: Journal Article
• Language: English
• Published: England eLife Sciences Publications, Ltd 02.09.2020; eLife Sciences Publications Ltd
• Subjects: antigenic drift; evolution; Evolutionary Biology; Forecasting; Genotype; Humans; influenza; Influenza A Virus, H3N2 Subtype - genetics; Influenza, Human - virology; Microbiology and Infectious Disease; Phenotype; phenotypes; prediction; Seasons; influenza; evolutionary biology; phenotypes; infectious disease; antigenic drift; microbiology; prediction; evolution; virus

Seasonal influenza virus A/H3N2 is a major cause of death globally. Vaccination remains the most effective preventative. Rapid mutation of hemagglutinin allows viruses to escape adaptive immunity. This antigenic drift necessitates regular vaccine updates. Effective vaccine strains need to represent...