ZBLOG

a higher r2 cutoff (e.g., 0.8-0.9) can be used when working with smaller populations or rare variants to ensure that there is sufficient power to detect true associations between genetic markers and traits. In contrast, a lower r2 cutoff (e.g., 0....

  1. Lee, S., & Abecasis, G. R. (2014). Efficient multi-trait association and prediction with the MTBLUP module of the software package genome-wide complex trait analysis. Genetics, 198(3), 857-866.
  2. Yang, J., Ferreira, T., Morris, A. P., Medland, S. E., Madden, P. A., Heath, A. C., … & Visscher, P. M. (2012). Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nature genetics, 44(4), 369-375.
  3. Marchini, J., Howie, B., Myers, S., McVean, G., & Donnelly, P. (2007). A new multipoint method for genome-wide association studies by imputation of genotypes. Nature genetics, 39(7), 906-913.
  4. Zheng Hou-Feng et al.(2020) Effect of linkage disequilibrium pruning methods on detection power in genome-wide association studies of crop plants Hereditas Volume 157 July 2020 Pages:19 https://doi.org/10.1186/s41065-020-00129-x

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