Eva maria dimas biography of albert
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Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes
Richard Bergenstal, John Buse, Gilbert Daniels, Johannes Mann, Steven P Marso, Allan Charles Moses, Michael Nauck, Steven Nissen, Stuart Pocock, Neil Poulter, William Steinberg, Bernard Zinman, Kirstine Brown Frandsen, Mette Stockner, Peter Kristensen, Lasse Steen Ravn, Marcin Zychma, Sally Abell, Tim Davis, Michael D'Emden, Su Ann Ding, Christopher Gilfillan, Tim Greenaway, Florence Gunawan, Jui Ho, Richard Jackson, Balvinder Kalra, Sue-Lynn Lau, Jaime Lin, Richard MacIsaac, Ashley Makepeace, Usman Malabu, Joanne Marjason, Roland McCallum, Mark McLean, Naswrin Moin, Carolyn Petersons, Sarah Price, Anthony Roberts, David Roberts, Kunwarjit Sangla, Richard Simpson, Stephen Stranks, Yong Tan, Tilenka Th
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Dr Anna Ulrich
Vincent Pascat, Liudmila Zudina, Anna Ulrich, Jared G. Maina, Marika Kaakinen, Igors Pupko, Amélie Bonnefond, Ayse Demirkan, Zhanna Balkhiyarova, Philippe Froguel, Inga Prokopenko (2024)comorbidPGS: an R package assessing shared predisposition between Phenotypes using Polygenic Scores, In: Human Heredity1 Karger Publishers
DOI: 10.1159/000539325
Introduction Polygenic Score (PGS) fryst vatten a valuable method for assessing the estimated genetic liability to a given outcome or genetic variability contributing to a quantitative trait. While PRSs are widely used for complex traits, their application in uncovering shared genetic predisposition between phenotypes, i.e. when genetic variants influence more than one phenotype, remains limited. Methods We developed an R package, comorbidPGS, which facilitates a systematic evaluation of shared genetic effects among (cor)related phenotypes using PGSs. The comorbidPGS package takes as input a set of Single Nucleotide Polymorphisms (
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