Jasmine Mack
Graduate Trainee, National Institute of Environmental Health Sciences (NIH - NIEHS)
2 active projects
v7-Contributions to Hypertensive Disorders in Pregnancy
Scientific Questions Being Studied
Broadly, this project is driven by the maternal health crisis in the United States, focused on dissecting the etiology of hypertensive disorders in pregnancy, from genome to exposome, and the interaction between the aforementioned. This data would be used in a larger study of various cohorts to further understand the development of adverse pregnancy outcomes (APOs) and other reproductive health traits. We intend to perform replication/validation studies based on the All Of Us cohort. In bridging genotypes, physiology, and disease through an integrated analytical framework that is inclusive of diverse ancestral populations, we hope to study the synergistic relationship between genetics, environmental exposures, and social determinants of health. We hypothesize that leveraging this data integration approach for application to maternal and child health research will yield more power for discovery and enable the analysis of the complex interactions between genetics and the environment.
Project Purpose(s)
- Disease Focused Research (Hypertensive Disorders in Pregnancy)
- Population Health
- Methods Development
- Ancestry
Scientific Approaches
We will perform genome-wide association studies (GWAS) across distinct cohorts and curate GWAS summary statistics for APOs to compare multi-ancestry methods for association testing. Phenome-wide association analyses will also be considered. Other cohorts include the Personalized Environment and Genes Study (PEGS) cohort and the UK Biobank. Fine mapping, Mendelian randomization, transcriptomic-wide association studies, and pathway enrichment analyses will be utilized post-GWAS for functional annotation and mapping. Complementing GWAS with these methods will increase understanding of how risk factors, and their variation, lead to the development of APOs in addition to assessing variation by ancestry. Beyond gene association studies, genetic correlation between phenotypes, by computing polygenic scores will be performed, including comparing these scores to other cardiometabolic traits not related to pregnancy.
Anticipated Findings
We anticipate demonstrating replicability of genetic discovery related to APOs in addition to distinct biological pathways that may give more insight into the development of APOs. We intend to also identify environmental exposures that are candidates for testing gene-environment interactions. Ideally, we will be able to assess how the environment influences genetic risk of APOs.
There has been limited improvement in the prevalence of adverse pregnancy outcomes. We hope this work will contribute novel findings that can further be applied to improve the screening and prediction of APOs in pregnant people in a robust fashion, ultimately targeting future interventions for disease prevention.
Demographic Categories of Interest
- Race / Ethnicity
Data Set Used
Controlled TierResearch Team
Owner:
- Jasmine Mack - Graduate Trainee, National Institute of Environmental Health Sciences (NIH - NIEHS)
Genetic and Environmental Contributions to Hypertensive Disorders in Pregnancy
Scientific Questions Being Studied
Broadly, this project is driven by the maternal health crisis in the United States, focused on dissecting the etiology of hypertensive disorders in pregnancy, from genome to exposome, and the interaction between the aforementioned. This data would be used in a larger study of various cohorts to further understand the development of adverse pregnancy outcomes (APOs) and other reproductive health traits. We intend to perform replication/validation studies based on the All Of Us cohort. In bridging genotypes, physiology, and disease through an integrated analytical framework that is inclusive of diverse ancestral populations, we hope to study the synergistic relationship between genetics, environmental exposures, and social determinants of health. We hypothesize that leveraging this data integration approach for application to maternal and child health research will yield more power for discovery and enable the analysis of the complex interactions between genetics and the environment.
Project Purpose(s)
- Disease Focused Research (Hypertensive Disorders in Pregnancy)
- Population Health
- Methods Development
- Ancestry
Scientific Approaches
We will perform genome-wide association studies (GWAS) across distinct cohorts and curate GWAS summary statistics for APOs to compare multi-ancestry methods for association testing. Phenome-wide association analyses will also be considered. Other cohorts include the Personalized Environment and Genes Study (PEGS) cohort and the UK Biobank. Fine mapping, Mendelian randomization, transcriptomic-wide association studies, and pathway enrichment analyses will be utilized post-GWAS for functional annotation and mapping. Complementing GWAS with these methods will increase understanding of how risk factors, and their variation, lead to the development of APOs in addition to assessing variation by ancestry. Beyond gene association studies, genetic correlation between phenotypes, by computing polygenic scores will be performed, including comparing these scores to other cardiometabolic traits not related to pregnancy.
Anticipated Findings
We anticipate demonstrating replicability of genetic discovery related to APOs in addition to distinct biological pathways that may give more insight into the development of APOs. We intend to also identify environmental exposures that are candidates for testing gene-environment interactions. Ideally, we will be able to assess how the environment influences genetic risk of APOs.
There has been limited improvement in the prevalence of adverse pregnancy outcomes. We hope this work will contribute novel findings that can further be applied to improve the screening and prediction of APOs in pregnant people in a robust fashion, ultimately targeting future interventions for disease prevention.
Demographic Categories of Interest
- Race / Ethnicity
Data Set Used
Controlled TierResearch Team
Owner:
- Jasmine Mack - Graduate Trainee, National Institute of Environmental Health Sciences (NIH - NIEHS)
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