Multivariate Genome-Wide Association Analysis of a Cytokine Network
bioRxiv preprint doi: https://doi.org/10.1101/544445; this version posted February 8, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Multivariate genome-wide association analysis of a cytokine 2 network reveals variants with widespread immune, 3 haematological and cardiometabolic pleiotropy 4 5 Artika P. Nath1,2,3,*, Scott C. Ritchie1,2, Nastasiya F. Grinberg4, Howard Ho-Fung Tang1, Qin 6 Qin Huang1,5, Shu Mei Teo1,2, Ari V. Ahola-Olli6,7,8, Peter Würtz9,10 , Aki S. Havulinna8,11, 7 Kristiina Aalto12, Niina Pitkänen6, Terho Lehtimäki13, Mika Kähönen14, Leo-Pekka 8 Lyytikäinen13, Emma Raitoharju13, Ilkka Seppälä13, Antti-Pekka Sarin8,11, Samuli Ripatti8,15,16, 9 Aarno Palotie8,16,17,18,19, Markus Perola8,11, Jorma S Viikari20, Sirpa Jalkanen12, Mikael 10 Maksimow12, Marko Salmi20, Chris Wallace4,22, Olli T. Raitakari6,23, Veikko Salomaa11, Gad 11 Abraham1,2,5, Johannes Kettunen11,24,25,26, Michael Inouye1,2,3,5,27,* 12 13 1Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, 14 Australia 15 2Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of 16 Cambridge, Cambridge CB1 8RN, United Kingdom 17 3Department of Microbiology and Immunology, University of Melbourne, Parkville, Victoria 3010, Australia 18 4Department of Medicine, University of
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