A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables

The identification and understanding of gene-environment interactions can provide insights into the pathways and mechanisms underlying complex diseases. However, testing for gene-environment interaction remains a challenge since a.) statistical power is often limited and b.) modeling of environmenta...

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Detalles Bibliográficos
Autores principales: Hecker, Julian, Prokopenko, Dmitry, Moll, Matthew, Lee, Sanghun, Kim, Wonji, Qiao, Dandi, Voorhies, Kirsten, Kim, Woori, Vansteelandt, Stijn, Hobbs, Brian D., Cho, Michael H., Silverman, Edwin K., Lutz, Sharon M., DeMeo, Dawn L., Weiss, Scott T., Lange, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668174/
https://www.ncbi.nlm.nih.gov/pubmed/36383614
http://dx.doi.org/10.1371/journal.pgen.1010464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668174/
https://www.ncbi.nlm.nih.gov/pubmed/36383614
http://dx.doi.org/10.1371/journal.pgen.1010464

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