GSA-MiXeR: A powerful tool to improve our understanding of heritable traits and diseases

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Researchers from the University of Oslo have developed an innovative tool that promises to improve our understanding of heritable human traits and diseases.

Jun 4 2024University of Oslo, Faculty of Medicine Published in Nature Genetics, the analytical tool is designed to make sense of genetic data by focusing on the role of individual genes, and how groups of genes contribute to the risk of developing a disease. With GSA-MiXeR, researchers now have a powerful new way to translate genetic research into practical insights that could lead to better treatments for a range of complex diseases.

GWAS, which are often produced by large international consortia, analyze the genomes of many individuals to find genetic variations associated with specific diseases. Our tool, called GSA-MiXeR, is designed to analyze the genetic data collected from these large-scale studies, aiming to identify how groups of genes contribute to the risk of developing a disease." Complex polygenic traits, which are influenced by many genetic factors, have been particularly difficult to interpret.

Better understanding of complex traits and disorders can lead to precision medicine, where treatments are tailored to the genetic makeup of individual patients. «This approach can improve the effectiveness of treatments and reduce side effects. By translating genetic research into practical insights, GSA-MiXeR can contribute to more personalized and effective healthcare, ultimately leading to better health outcomes for patients», Frei says.

 

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New analytical tool can improve understanding of heritable human traits and diseasesResearchers from the University of Oslo have developed an innovative method to improve our understanding of heritable human traits and diseases. The analytical tool, called GSA-MiXeR, is designed to make sense of genetic data by focusing on the role of individual genes, and how groups of genes contribute to the risk of developing a disease.
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