A5081519369- Genetic Associations and Epidemiology
- Gene expression and cancer classification
- Epigenetics and DNA Methylation
- Genetic Syndromes and Imprinting
- COVID-19 Clinical Research Studies
- Genetic Mapping and Diversity in Plants and Animals
- Bioinformatics and Genomic Networks
- SARS-CoV-2 and COVID-19 Research
- Suicide and Self-Harm Studies
- Food Security and Health in Diverse Populations
- Health disparities and outcomes
- Long-Term Effects of COVID-19
Chicago Department of Public Health
2021-2024
University of Chicago
2021-2024
There were over 45 000 suicides in the US 2020, making suicide 12th leading cause of death. If social vulnerability is associated with rates, targeted interventions for at-risk segments population may reduce rates.To determine association between and adults.This cohort study analyzed 2 county-level measures (the Social Vulnerability Index [SVI] Metric [SVM]) Centers Disease Control Prevention-reported from 2016 to 2020. Data November December 2022.County-level variability vulnerability.The...
Abstract Genetic effects on functionally related ‘omic’ traits often co-occur in relevant cellular contexts, such as tissues. Motivated by the multi-tissue methylation quantitative trait loci (mQTLs) and expression QTLs (eQTLs) analysis, we propose X-ING (Cross-INtegrative Genomics) for cross-omics cross-context integrative analysis. takes input multiple matrices of association statistics, each obtained from different omics data types across contexts. It models latent binary status...
Abstract The proliferation of association results from large-scale genetic and genomic studies provides opportunities challenges to elucidate the disease/trait mechanisms their operating cellular contexts. Motivated by a multi-tissue multi-omics analysis using genetics, methylome transcriptome data Genotype-Tissue Expression (GTEx) project, we propose method, X-ING (Cross-INtegrative Genomics), for cross-omics cross-context integrative summary-level data. takes as input statistic matrices...
Abstract The mechanisms explaining progression to severe COVID-19 remain poorly understood. It has been proposed that immune system dysregulation/over-stimulation may be implicated, but it is not clear how such processes would lead respiratory failure. We performed comprehensive multiparameter monitoring in a tightly controlled cohort of 128 patients, and used the ratio oxygen saturation fraction inspired (SpO2 / FiO2) as physiologic measure disease severity. Machine learning algorithms...