Objective: Social determinants have been understudied in relation to metabolic risk and menopause; this study aimed to identify metabolic risk factors during menopausal transition, changes in lifestyle, and other social determinants.
Methods: The Korean Genetic Epidemiologic Survey Community cohort data available for baseline, 2-year, and 4-year follow-up time points were analyzed. Healthy women ages 45 to 55 years, not taking hormonal therapy, were selected; 1,228 were analyzed.
The reconstruction of transcriptional regulatory networks (TRNs) is a long-standing challenge in human genetics. Numerous computational methods have been developed to infer regulatory interactions between human transcriptional factors (TFs) and target genes from high-throughput data, and their performance evaluation requires gold-standard interactions. Here we present a database of literature-curated human TF-target interactions, TRRUST (transcriptional regulatory relationships unravelled by sentence-based text-mining, http://www.
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