Module 10 EN Welcome to your Module 10 EN Exposure to pollutants like nickel, arsenic, iron, and polyaromatic hydrocarbons alters histone methylation and acetylation. FALSE TRUE None Large population studies on how air pollution affects histone modifications are abundant and well-established. FALSE TRUE None Epigenetic differences play only a minor role in individual responses to air pollution, making them irrelevant for identifying at-risk populations or guiding public health policies. FALSE TRUE None Why is studying DNA methylation alone insufficient for understanding exposure-related effects? DNA methylation is only relevant in early development. DNA methylation is one of many epigenetic modifications and cannot fully explain exposure-related effects on its own. DNA methylation does not change in response to environmental exposures. Other epigenetic modifications do not influence gene expression. None Traditional epigenetic editing methods often affect large regions of the genome, making it harder to study individual loci. FALSE TRUE None Epigenetic changes, which can affect gene function, are primarily influenced by: Errors in protein folding Mutations in the DNA sequence Environmental factors and normal developmental processes DNA replication errors None Population study design and controlled crossover exposure studies are two study designs that can be used to study the effects of air pollution on DNAm. FALSE TRUE None Environmental epigenetics studies based on simple epidemiological models are sufficient to conclusively prove a causal link between air pollution and epigenetic changes. FALSE TRUE None Epidemiological-land use regression (LUR) study design compares people living in high- and low-pollution areas, such as industrial vs. rural regions. FALSE TRUE None Which of the following is a limitation of the epidemiological-land use regression (LUR) study design? It does not capture real-world air pollution exposure. It requires controlled exposure to specific air pollution levels in a lab setting. It relies exclusively on laboratory studies and does not involve real-world data. Challenges in controlling personal factors, selecting time windows, and limited population variation. None Time's up Submit a Comment Cancel replyYou must be logged in to post a comment.
