Computational protocol: Analysis of single nucleotide polymorphisms implicate mTOR signalling in the development of new-onset diabetes after transplantation

Similar protocols

Protocol publication

[…] Data are shown as median (1st and 3rd quartiles) if not normally distributed or mean (± standard deviation) if normally distributed. Baseline demographics were assessed using Mann–Whitney U (non-parametric data) or Student t test if normally distributed for continuous data, and Fisher exact testing for categorical data as appropriate using SPSS software, version 20 (SPSS Inc., Chicago, Illinois) for analysis. Genotype distributions were assessed for concordance with Hardy–Weinberg equilibrium using a χ2 goodness-of-fit test with a type 1 error rate set at 5% analysed using PLINK . Genotype to phenotype associations and event analyses were conducted using logistic regression with the development of NODAT at any time during the first 12 months post-transplantation as the end measure of interest (time-to-event analysis was not undertaken due to only 2 post-transplant timepoints). Univariate genotype:phenotype relationships and then the relationship in a multivariate model fully adjusted for age, sex, baseline body mass index (BMI), and change in BMI over 12 months from transplantation (no selection process) were calculated using PLINK . […]

Pipeline specifications

Software tools SPSS, PLINK
Applications Miscellaneous, GWAS
Organisms Homo sapiens
Diseases Diabetes Mellitus
Chemicals Glucose