Project description:A cross sectional study using data collected at the time of liver biopsy, the final eligibility assessment for participation in iWITH (NCT01638559), an immunosuppression withdrawal trial. Microarrays were used to understand the gene expression profile differences among the three histological clusters (Cluster 1, Cluster 2 and Cluster 3)
Project description:European-American individuals of the GENOA cohort participating in the “Genetics of Microangiopathic Brain Injury” substudy, which investigates the genetic basis of alteration in brain structure detectable by magnetic resonance imaging. This analysis investigated the association of gene expression with age (at the time of cell transformation). Participants in this study are drawn from the GENOA study, a population-based study from Rochester, MN
Project description:A longitudinal study using data collected at the time of liver biopsy, the final eligibility assessment for participation in iWITH (NCT01638559), an immunosuppression withdrawal trial. Microarrays were used to understand the gene expression profile differences between IS withdrawal outcomes (Tolerant and Non-tolerant)
Project description:Genome-wide DNA methylation was studied to identify regions with extreme inter-individual variability, half of which show stability within-person, and some of which show covariation with body mass index consistently and are located in or near genes previously implicated in regulating body weight or diabetes. We isolated genomic DNA from non-immortalized lymphocyte samples from participants of the AGES Reykjavik Study and hybridized it to custom-designed NimbleGen microarrays (CHARM arrays).
Project description:RNA-seq data from blood from participants of the COVID-19 Health Action Response for Marines (CHARM) study was generated to study innate immune responses to SARS-CoV-2 infection. We investigate 1. gene expression difference between symptomatic and asymptomatic participants, 2. gene expression difference between male and female participants, 3. how the gene expression and methylation are correlated, 4. change in alternative splicing.