The Department sponsors a biweekly seminar series during the academic year on topics of epidemiologic and biostatistical interests. Speakers include Michigan State University faculty, Michigan Department of Community Health public health professionals or invited guests from around the nation or, occasionally, overseas.
The seminar is open to all members of the MSU and public health community, and unless otherwise noted, takes place in person, Zoom (or both) at 3:00 p.m. Most seminars are recorded and available for viewing.
Miss a Seminar or would like to revisit one?
Most seminars are recorded and available for viewing by clicking on the SEMINAR ARCHIVES link located on the upper right side of this page.
THURSDAY, JANUARY 23 2025 | 3:00 p.m. C102 Fee Hall (Patenge Room), Zoom
Assistant Research Professor
Washington State University
“From Historical Trauma to Survivance: The Role of Agency in Combatting the Health Effects of Colonial Subjugation”
THURSDAY, FEBRUARY 13 2025 | 3:00 p.m. E4 Fee Hall, Zoom
THURSDAY, FEBRUARY 27 2025 | 3:00 p.m. C102 Fee Hall (Patenge Room), Zoom
Associate Professor
Obstetrics and Gynecology
University of Michigan
We will discuss recent legislation impacting postpartum Medicaid eligibility including the MHPAEA, ACA, and ARPA Postpartum Medicaid eligibility extensions and their impact on postpartum mental health. We will also discuss what remains unknown and potential research strategies to address remaining gaps in knowledge.
THURSDAY, MARCH 13 2025 | 3:00 p.m. C102 Fee Hall, (Patenge Room), Zoom
Professor, Biostatistics
University of Michigan
"Statistical methods for transcriptome-wide association studies"
Integrating genome-wide association studies (GWASs) and gene expression studies through transcriptome-wide association study (TWAS) has the potential to shed light on the causal molecular mechanisms underlying disease etiology. Here, I will discuss a few new statistical methods that our group has recently developed for TWAS. Specifically, I will first talk about PMR, a probabilistic Mendelian randomization method for TWAS applications. PMR relies on a MR likelihood framework that unifies many existing TWAS and MR methods, accommodates multiple correlated instruments, and tests the causal effect of gene on trait in the presence of horizontal pleiotropy. I will talk about multiple extensions of PMR, including moPMR for analyzing multiple outcome traits, METRO for leveraging gene expression data across multiple genetic ancestries, and HMAT for aggregating multiple gene expression prediction models, all further enhancing TWAS power. Additionally, I will talk about GIFT for conditional TWAS analysis and TWAS fine-mapping, explicitly controlling for the genetic regulated components of multiple genes residing in a local region to fine-map causal genes. Finally, if time allows, I will talk about VINTAGE, which explicitly quantifies and tests the proportion of genetic effects on a trait that are mediated through gene expression using a local genetic correlation test, and further leverages such information to guide the integration of gene expression mapping study towards GWAS for gene association mapping through a genetic variance test.
THURSDAY, MARCH 27 2025 | 3:00 p.m. C102 Fee Hall (Patenge Room), Zoom
Associate Scientist
Longitudinal Studies Section
NIH
"Olfaction in aging and neurodegeneration: current progress and future opportunities"
Olfaction deteriorates during aging and olfactory deficit is one of the earliest signs of cognitive decline and neurodegenerative diseases, such as Alzheimer’s disease and Parkinson’s disease. However, contributing factors of loss of olfaction and biological underpinnings for the associations with cognition and neurodegeneration are not fully understood. This talk will focus on current research progress from epidemiological studies, with a highlight in the Baltimore Longitudinal Study of Aging, and also discuss future opportunities.
THURSDAY, APRIL 10 2025 | 3:00 p.m. C102 Fee Hall, (Patenge Room), Zoom
Professor of Epidemiology and Biostatistics
Department of Epidemiology and Biostatistics
Michigan State University