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RNA-sequencing (RNA-seq) data are widely used for detecting differential expressed genes (DEGs) [ 1, 2] and DEGs are often used for finding gene markers to explain the phenotypic differences between control and cases.
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Continuous variables were compared between control and case groups using t-tests.
The first filter is to use a method to identify DEGs between control and case samples.
Categorical variables were compared between control and case groups using chi-square tests or Fisher's exact test where appropriate.
There was no significant difference in urinary creatinine concentrations between control and case convalescent urine samples (p = 0.14).
The chi-squared test or Fisher's exact test will be used to compare genotype and allele frequencies between control and case groups.
Also, the chi-squared test or Fisher's exact test will be used to compare genotype and allele frequencies between control and case groups.
Significant differences were found between control and case group confirming the increased risk for obesity of homozygous AA at this locus.
Conversely, PPARG rs1801282 showed no association with obesity within the studied population, as no significant difference was found between control and case subjects (P>0.05).
We conducted bivariate and multiple regression analyses to test for differences in several variables of interest between controls and cases.
For multiple regression analyses, two logistic regression models were constructed; one model assessed differences between controls and non-adherent cases and the second model assessed differences between controls and cases lost to follow-up.
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