Improving Genetic Association Studies with a Novel Methodology that Unveils the Hidden Complexity of All-Cause Heart Failure

MOTIVATION: Genome-Wide Association Studies (GWAS) commonly assume phenotypic and genetic homogeneity that is not present in complex conditions. We designed Transformative Regression Analysis of Combined Effects (TRACE), a GWAS methodology that better accounts for clinical phenotype heterogeneity an...

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Detalles Bibliográficos
Autores principales: Gregg, John T., Himes, Blanca E., Asselbergs, Folkert W., Moore, Jason H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418568/
https://www.ncbi.nlm.nih.gov/pubmed/37577697
http://dx.doi.org/10.1101/2023.08.02.23293567

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418568/
https://www.ncbi.nlm.nih.gov/pubmed/37577697
http://dx.doi.org/10.1101/2023.08.02.23293567

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