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We start by calculating associations between each transcript and each variant (a 'variant transcript association') and correlations between each transcript and each trait (a 'transcript trait correlation').
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We calculated associations between these diagnoses and traits with ∼630,000 common frequency SNPs with minor allele frequency > 0.01 for 38,662 individuals.
Logistic regression analysis was used to calculate associations between various variables and the sick leave outcomes.
Linear regression was used to calculate associations between salivary rate and use of medication.
We calculated associations between IQ and attempted suicide separately for men with and without psychosis and did corresponding tests of statistical interaction/effect modification.
Kaplan-Meier, log rank, and uni- and multivariate Cox's regression analyses were used to calculate associations between uPAR expression and patient survival.
For each of the 118 probes, we calculated associations between haplotypes formed by the two SNPs and cis gene expression levels.
We used general linear models (GLM) for the binomial family to calculate associations between long intervals and the patients' randomisation status.
Next, we calculated associations between reported use of BCTs targeting physical activity (PA) and change in physical activity and between BCTs of eating a lower-fat diet and dietary change, respectively.
For the concurrent validity analyses, Spearman's rank correlation coefficient (r) was used to calculate associations between the results of the manual test and the USI investigation of the preferential activation of the TrA.
To determine whether methylation at specific sites of the genome may be labile to effects due to dietary intake, we calculated associations between DNA methylation at specific CpG sites and dietary intake, stratifying by HPV status.
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CEO of Professional Science Editing for Scientists @ prosciediting.com