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Contents

StructLMM

  • FULL NAME:Structured Linear Mixed Model
  • SHORT NAME:StructLMM
  • DESCROPTION:Structured Linear Mixed Model (StructLMM) is a computationally efficient method to test for and characterize loci that interact with multiple environments
  • URL:https://github.com/limix/struct-lmm
  • URL:https://github.com/limix/limix
  • CITATION: Moore, R., Casale, F. P., Jan Bonder, M., Horta, D., Franke, L., Barroso, I., & Stegle, O. (2019). A linear mixed-model approach to study multivariate gene–environment interactions. Nature genetics, 51(1), 180-186.

LEMMA

  • FULL NAME:Linear Environment Mixed Model Analysis
  • SHORT NAME:LEMMA
  • DESCROPTION: LEMMA (Linear Environment Mixed Model Analysis) is a whole genome wide regression method for flexible modeling of gene-environment interactions in large datasets such as the UK Biobank.
  • URL: https://github.com/mkerin/LEMMA
  • CITATION: Kerin, M., & Marchini, J. (2020). Inferring gene-by-environment interactions with a Bayesian whole-genome regression model. The American Journal of Human Genetics, 107(4), 698-713.

GPLEMMA

  • FULL NAME:Gaussian Prior Linear Environment Mixed Model Analysis
  • SHORT NAME:GPLEMMA
  • DESCROPTION: GPLEMMA (Gaussian Prior Linear Environment Mixed Model Analysis) non-linear randomized Haseman-Elston regression method for flexible modeling of gene-environment interactions in large datasets such as the UK Biobank.
  • URL: https://github.com/mkerin/LEMMA
  • CITATION: Kerin, M., & Marchini, J. (2020). A non-linear regression method for estimation of gene–environment heritability. Bioinformatics, 36(24), 5632-5639.

Concepts&Reviews

  • CITATION: Ottman, R. (1996). Gene–environment interaction: definitions and study design. Preventive medicine, 25(6), 764-770.
  • CITATION: Hunter, D. J. (2005). Gene–environment interactions in human diseases. Nature reviews genetics, 6(4), 287-298.
  • CITATION: Manuck, S. B., & McCaffery, J. M. (2014). Gene-environment interaction. Annual review of psychology, 65(1), 41-70.
  • CITATION: Zhang, X., & Belsky, J. (2022). Three phases of Gene× Environment interaction research: Theoretical assumptions underlying gene selection. Development and Psychopathology, 34(1), 295-306.
  • CITATION: Boyce, W. T., Sokolowski, M. B., & Robinson, G. E. (2020). Genes and environments, development and time. Proceedings of the National Academy of Sciences, 117(38), 23235-23241.