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Gibson, J., Russ, T.C., Clarke, T.K., Howard, D.M., Hillary, R.F., Evans, K.L., Walker, R.M., Bermingham, M.L., Morris, S.W., Campbell, A., Hayward, C., Murray, A.D., Porteous, D.J., Horvath, S., Lu, A.T., McIntosh, A.M., Whalley, H.C. and Marioni, R.E. (2019) A Meta-Analysis of Genome-Wide Association Studies of Epigenetic Age Acceleration. PLOS Genetics, 15, e1008104.
https://doi.org/10.1371/journal.pgen.1008104

has been cited by the following article:

• TITLE: A Preliminary Outline of the Statistical Inference Process in Genetic Association Studies

  AUTHORS: Tapati Basak, Nipa Roy

  KEYWORDS: GWAS, Statistical Inference, Association, SNP, Case-Control Study

  JOURNAL NAME: Open Journal of Statistics, Vol.12 No.2, April 14, 2022

  ABSTRACT: The genome-wide association study (GWAS) is a powerful experimental design that is applied to detect disease susceptible genetic variants. The main goal of these studies is to provide a better understanding of the biology of disease, which further facilitates prevention or better treatment. A statistical inferential process is finally carried out in this study, where an association is usually observed between the single-nucleotide polymorphism (SNPs) and the traits in a case-control setting. To detect the disease responsible loci correctly, the investigation of the statistical association should be carefully conducted along with the other necessary steps. This research provides an introductory guideline for conducting such statistical association tests for these studies using SNP genotype data.