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A Bayesian joint pQTL study sheds light on the genetic architecture of obesity
View ORCID ProfileHélène Ruffieux, Jérôme Carayol, Mary-Ellen Harper, Robert Dent, Wim H. M. Saris, Arne Astrup, Jörg Hager, Anthony C. Davison, View ORCID ProfileArmand Valsesia
doi: https://doi.org/10.1101/524405
Hélène Ruffieux
1Chair of Statistics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
2Nestlé Research, EPFL Innovation Park, Lausanne, Switzerland
Jérôme Carayol
2Nestlé Research, EPFL Innovation Park, Lausanne, Switzerland
Mary-Ellen Harper
3Bioenergetics Laboratory, University of Ottawa, Ottawa, Ontario, Canada
Robert Dent
4Weight Management Clinic, The Ottawa Hospital, Ottawa, Ontario, Canada
Wim H. M. Saris
5Department of Human Biology, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, Netherlands
Arne Astrup
6Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
Jörg Hager
2Nestlé Research, EPFL Innovation Park, Lausanne, Switzerland
Anthony C. Davison
1Chair of Statistics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Armand Valsesia
2Nestlé Research, EPFL Innovation Park, Lausanne, Switzerland
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Posted July 03, 2019.
A Bayesian joint pQTL study sheds light on the genetic architecture of obesity
Hélène Ruffieux, Jérôme Carayol, Mary-Ellen Harper, Robert Dent, Wim H. M. Saris, Arne Astrup, Jörg Hager, Anthony C. Davison, Armand Valsesia
bioRxiv 524405; doi: https://doi.org/10.1101/524405
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