Eva maria dimas biography of albert
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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) is 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 (