Article
Understanding interactions between risk factors, and assessing the utility of the additive and multiplicative models through simulations.
PloS one - 1 Jan 2021
Diaz-Gallo Lina-Marcela, Brynedal Boel, Westerlind Helga, Sandberg Rickard, Ramsköld Daniel
Abstract excerpt
Understanding the genetic background of complex diseases requires the expansion of studies beyond univariate associations. Therefore, it is important to use interaction assessments of risk factors in order to discover whether, and how genetic risk variants act together on disease development. The principle of interaction analysis is to explore the magnitude of the combined effect of risk factors on disease...
Topics
- Alleles
- Anti-Citrullinated Protein Antibodies
- Arthritis, Rheumatoid
- Databases, Genetic
- Europe
- Gene Frequency
- Genetic Loci
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- HLA-DRB1 Chains
- Humans
- Models, Statistical
- Polymorphism, Single Nucleotide