Module 10 EN Welcome to your Module 10 EN Which of the following methods is promising for studying the epigenetic alterations induced by particulate matter (PM) exposure? RNA sequencing Protein structure analysis Gene knockdown experiments DNA methylation profiling and histone modification analysis 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. TRUE FALSE None Traditional epigenetic editing methods often affect large regions of the genome, making it harder to study individual loci. FALSE TRUE None What advantages does GWIS have over GWAS? Homogeneity between studies Small sample requirements Simple exposure assessment It explores GxE interactions in studies where exposure information is available None Epidemiological-land use regression (LUR) study design compares people living in high- and low-pollution areas, such as industrial vs. rural regions. TRUE FALSE None Genome-wide association studies (GWAS) have linked specific single-nucleotide polymorphisms (SNPs) to respiratory conditions influenced by air pollution. TRUE FALSE None ?ir pollution exposure can influence DNA methylation (DNAm), potentially affecting inflammation and disease development. 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 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. TRUE FALSE None Which of the following is a limitation of the epidemiological-land use regression (LUR) study design? It requires controlled exposure to specific air pollution levels in a lab setting. It does not capture real-world air pollution exposure. 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.
