Title |
A systematic review of reported reassortant viral lineages of influenza A
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Published in |
BMC Infectious Diseases, January 2016
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DOI | 10.1186/s12879-015-1298-9 |
Pubmed ID | |
Authors |
Amy Pinsent, Christophe Fraser, Neil M. Ferguson, Steven Riley |
Abstract |
Most previous evolutionary studies of influenza A have focussed on genetic drift, or reassortment of specific gene segments, hosts or subtypes. We conducted a systematic literature review to identify reported claimed reassortant influenza A lineages with genomic data available in GenBank, to obtain 646 unique first-report isolates out of a possible 20,781 open-access genomes. After adjusting for correlations, only: swine as host, China, Europe, Japan and years between 1997 and 2002; remained as significant risk factors for the reporting of reassortant viral lineages. For swine H1, more reassortants were observed in the North American H1 clade compared with the Eurasian avian-like H1N1 clade. Conversely, for avian H5 isolates, a higher number of reported reassortants were observed in the European H5N2/H3N2 clade compared with the H5N2 North American clade. Despite unavoidable biases (publication, database choice and upload propensity) these results synthesize a large majority of the current literature on novel reported influenza A reassortants and are a potentially useful prerequisite to inform further algorithmic studies. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 29% |
United States | 1 | 14% |
Spain | 1 | 14% |
Italy | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
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Scientists | 4 | 57% |
Members of the public | 3 | 43% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Nigeria | 1 | 2% |
Unknown | 53 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 12 | 22% |
Researcher | 9 | 17% |
Student > Master | 9 | 17% |
Student > Bachelor | 6 | 11% |
Other | 3 | 6% |
Other | 8 | 15% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 12 | 22% |
Agricultural and Biological Sciences | 11 | 20% |
Veterinary Science and Veterinary Medicine | 7 | 13% |
Biochemistry, Genetics and Molecular Biology | 7 | 13% |
Immunology and Microbiology | 6 | 11% |
Other | 2 | 4% |
Unknown | 9 | 17% |