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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Veröffentlicht in:PLoS genetics 2022-11, Vol.18 (11), p.e1010464
Hauptverfasser: 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
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Sprache:eng
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