bioRxiv preprint doi: https://doi.org/10.1101/810283; this version posted October 18, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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-NC-ND 4.0 International license. 1 Analysis of genetically independent phenotypes identifies shared genetic 2 factors associated with chronic musculoskeletal pain at different anatomic sites 3 4 Yakov A. Tsepilov1,2*, Maxim B. Freidin3*, Alexandra S. Shadrina1,2, Sodbo Z. Sharapov1,2, 5 Elizaveta E. Elgaeva2, Jan van Zundert4,5, Lennart С. Karssen6, Pradeep Suri7,8, Frances M.K. 6 Williams3, Yurii S. Aulchenko1,2,6,9^ 7 8 1 Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, 9 Novosibirsk, Russia 10 2 Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 11 Novosibirsk, Russia 12 3 Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s 13 College London, London, UK 14 4 Department of Anesthesiology and Pain Medicine, Maastricht University Medical Centre, 15 Maastricht, The Netherlands 16 5 Department of Anesthesiology and Multidisciplinary Paincentre, ZOL Genk/Lanaken, Belgium 17 6 PolyOmica, ‘s-Hertogenbosch, the Netherlands 18 7 Division of Rehabilitation Care Services, VA Puget Sound Health Care System, Seattle, USA 19 8 Seattle Epidemiologic Research and Information Center (ERIC), Department of Veterans Affairs 20 Office of Research and Development, Seattle, USA 21 9 Department of Complex Genetics, Care and Public Health Research Institute, Maastricht 22 University, The Netherlands 23 24 Correspondence^:
[email protected] 25 26 27 1 Сhronic musculoskeletal pain shared heredity, 2019 bioRxiv preprint doi: https://doi.org/10.1101/810283; this version posted October 18, 2019.