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Natl. Acad. Sci. U.S.A."],"published-print":{"date-parts":[[2020,12,8]]},"abstract":"<jats:title>Significance<\/jats:title>\n                  <jats:p>\n                    The COVID-19 pandemic is a worldwide public health emergency caused by the\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mi>\u03b2<\/mml:mi>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    -coronavirus SARS-CoV-2. A very large and continuously increasing number of high-quality whole-genome sequences are available. We have investigated whether these sequences show effects of epistatic contributions to fitness. In a population evolving under a high rate of recombination, such effects of natural selection can be detected by direct coupling analysis, a global model learning technique. The paper opens up the prospect to leverage very large collections of genome sequences to find combinatorial weaknesses of highly recombinant pathogens.\n                  <\/jats:p>","DOI":"10.1073\/pnas.2012331117","type":"journal-article","created":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T17:14:55Z","timestamp":1605633295000},"page":"31519-31526","update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":74,"title":["Global analysis of more than 50,000 SARS-CoV-2 genomes reveals epistasis between eight viral genes"],"prefix":"10.1073","volume":"117","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1764-4657","authenticated-orcid":false,"given":"Hong-Li","family":"Zeng","sequence":"first","affiliation":[{"name":"New Energy Technology Engineering Laboratory of Jiangsu Province, School of Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China;"},{"name":"Nordic Institute for Theoretical Physics, Royal Institute of Technology and Stockholm University, 10691 Stockholm, Sweden;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3057-8690","authenticated-orcid":false,"given":"Vito","family":"Dichio","sequence":"additional","affiliation":[{"name":"Nordic Institute for Theoretical Physics, Royal Institute of Technology and Stockholm University, 10691 Stockholm, Sweden;"},{"name":"Department of Physics, University of Trieste, 34151 Trieste, Italy;"},{"name":"Department of Computational Science and Technology, AlbaNova University Center, 10691 Stockholm, Sweden;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6690-629X","authenticated-orcid":false,"given":"Edwin","family":"Rodr\u00edguez Horta","sequence":"additional","affiliation":[{"name":"Group of Complex Systems and Statistical Physics, Department of Theoretical Physics, Physics Faculty, University of Havana, 10400 Havana, Cuba;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4447-8968","authenticated-orcid":false,"given":"Kaisa","family":"Thorell","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden;"},{"name":"Center for Translational Microbiome Research, Department of Microbiology, Cell and Tumor Biology, Karolinska Institutet, 17177 Stockholm, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4906-3603","authenticated-orcid":false,"given":"Erik","family":"Aurell","sequence":"additional","affiliation":[{"name":"Department of Computational Science and Technology, AlbaNova University Center, 10691 Stockholm, Sweden;"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"341","published-online":{"date-parts":[[2020,11,17]]},"reference":[{"key":"e_1_3_4_1_2","unstructured":"World Health Organization Coronavirus disease (COVID-19) pandemic. https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019. 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