Epigenomic partitioning of a polygenic risk score for asthma reveals distinct genetically driven disease pathways.

BACKGROUND: Individual differences in susceptibility to develop asthma, a heterogeneous chronic inflammatory lung disease, are poorly understood. It remains debated whether genetics can predict asthma risk and how genetic variants modulate the complex pathophysiology of asthma. AIM: To build polygenic risk scores (PRSs) for asthma risk prediction and epigenomically link predictive genetic variants to pathophysiological mechanisms. METHODS: Restricted PRSs were constructed using single nucleotide variants derived from genome-wide association studies and validated using data generated in the Rotterdam Study, a Dutch prospective cohort of 14 926 individuals. Outcomes used were asthma, childhood-onset asthma (COA), adulthood-onset asthma (AOA), eosinophilic asthma, and asthma exacerbations. Genome-wide chromatin analysis data from 19 disease-relevant cell types were used for epigenomic PRS partitioning. RESULTS: PRSs obtained predicted asthma and related outcomes, with the strongest associations observed for COA (2.55 odds ratios per PRS standard deviation, area under the curve of 0.760). PRSs allowed for the classification of individuals into high and low-risk groups. PRS partitioning using epigenomic profiles identified 5 clusters of variants within putative gene regulatory regions linked to specific asthma-relevant cells, genes, and biological pathways. CONCLUSIONS: PRSs were associated with asthma(-related traits) in a Dutch prospective cohort, with substantially higher predictive power observed for COA than for AOA. Importantly, PRS variants could be epigenomically partitioned into clusters of regulatory variants with different pathophysiological association patterns and effect estimates, which likely represent distinct genetically driven disease pathways. Our findings have potential implications for personalized risk mitigation and treatment strategies.

Model Systems to Study the Mechanism of Vascular Aging.

Cardiovascular diseases are the leading cause of death globally. Within cardiovascular aging, arterial aging holds significant importance, as it involves structural and functional alterations in arteries that contribute substantially to the overall decline in cardiovascular health during the aging process. As arteries age, their ability to respond to stress and injury diminishes, while their luminal diameter increases. Moreover, they experience intimal and medial thickening, endothelial dysfunction, loss of vascular smooth muscle cells, cellular senescence, extracellular matrix remodeling, and deposition of collagen and calcium. This aging process also leads to overall arterial stiffening and cellular remodeling. The process of genomic instability plays a vital role in accelerating vascular aging. Progeria syndromes, rare genetic disorders causing premature aging, exemplify the impact of genomic instability. Throughout life, our DNA faces constant challenges from environmental radiation, chemicals, and endogenous metabolic products, leading to DNA damage and genome instability as we age. The accumulation of unrepaired damages over time manifests as an aging phenotype. To study vascular aging, various models are available, ranging from in vivo mouse studies to cell culture options, and there are also microfluidic in vitro model systems known as vessels-on-a-chip. Together, these models offer valuable insights into the aging process of blood vessels.

Severe COVID-19-associated variants linked to chemokine receptor gene control in monocytes and macrophages.

Genome-wide association studies have identified 3p21.31 as the main risk locus for severe COVID-19, although underlying mechanisms remain elusive. We perform an epigenomic dissection of 3p21.31, identifying a CTCF-dependent tissue-specific 3D regulatory chromatin hub that controls the activity of several chemokine receptor genes. Risk SNPs colocalize with regulatory elements and are linked to increased expression of CCR1, CCR2 and CCR5 in monocytes and macrophages. As excessive organ infiltration of inflammatory monocytes and macrophages is a hallmark of severe COVID-19, our findings provide a rationale for the genetic association of 3p21.31 variants with elevated risk of hospitalization upon SARS-CoV-2 infection.