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...
Main Authors: | , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-11-01
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Series: | PLoS Genetics |
Online Access: | https://doi.org/10.1371/journal.pgen.1010464 |