Background: Genome-wide association studies have identified 23 loci for atrial fibrillation (AF), but the mechanisms responsible for these associations, as well as the causal genes and genetic variants, remain undefined.
Methods: To identify the effect of common genetic variants on gene expression that might explain the mechanisms linking genome-wide association loci with AF risk, we performed RNA sequencing of left atrial appendages from a biracial cohort of 265 subjects.
Results: Combining gene expression data with genome-wide single nucleotide polymorphism data, we found that approximately two-thirds of the expressed genes were regulated in by common genetic variants at a false discovery rate of <0.05, defined as cis-expression quantitative trait loci. Twelve of 23 reported AF genome-wide association loci displayed genome-wide significant -expression quantitative trait loci, at (chromosome 1q24), (1q24), (2p14), (2q31), (5q22), (5q31), (7q31), (8p22), (10q22), (11q24), (12q24), and (14q23), suggesting that altered expression of these genes plays a role in AF susceptibility. Allelic expression imbalance was used as an independent method to characterize the cis-control of gene expression. One thousand two hundred forty-eight of 5153 queried genes had -single nucleotide polymorphisms that significantly regulated allelic expression at a false discovery rate of <0.05.
Conclusions: We provide a genome-wide catalog of the genetic control of gene expression in human left atrial appendage. These data can be used to confirm the relevance of genome-wide association loci and to direct future functional studies to identify the genes and genetic variants responsible for complex diseases such as AF.
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http://dx.doi.org/10.1161/CIRCGEN.118.002107 | DOI Listing |
Adv Sci (Weinh)
January 2025
Department of Molecular Biology, Cellular Biology, and Biochemistry, Brown University, Providence, RI, 02912, USA.
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January 2025
Department of Experimental Vascular Medicine, Amsterdam UMC, location AMC, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Atherosclerosis & Ischemic Syndromes, Amsterdam, the Netherlands; Laboratory of Angiogenesis and Vascular Metabolism, VIB-KU Leuven Center for Cancer Biology, VIB, 3000 Leuven, Belgium; Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), 3000 Leuven, Belgium. Electronic address:
The endothelium is the gatekeeper of vessel health, and its dysfunction is pivotal in driving atherogenesis. Here, we present a protocol to replicate endothelial-macrophage crosstalk during atherogenesis, called the "atherogenesis-on-chip" model, based on the Emulate dual-channel perfusion system. We describe a model for studying endothelial-macrophage interactions during atherogenesis in human aortic endothelial cells and human macrophages using qPCR and secretome analysis, fluorescence microscopy, and flow cytometry.
View Article and Find Full Text PDFSTAR Protoc
January 2025
Divison of Molecular and Vascular Biology, IRDA, Kumamoto University, Kumamoto 860-0811, Japan. Electronic address:
Angiogenesis begins as endothelial cells migrate, forming a sprouting tip and subsequent growth-rich stalk cells. Here, we present a protocol for transcriptomic and epigenomic analyses of tip-like cells in cultured endothelial cells. We describe steps for stimulating human umbilical vein endothelial cells (HUVECs) with vascular endothelial cell growth factor (VEGF) to generate tip-like cells.
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January 2025
Laboratory of Translational Medicine in Microvascular Regulation, Medical Research Center, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital; Shandong Provincial Key Laboratory of Medicine in Microvascular Ageing; Laboratory of Future Industry of Gene Editing in Vascular Endothelial Cells of Universities in Shandong Province, Jinan, China.
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January 2025
Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, 310012, China.
In the present study, we identified 22 significant SNPs, eight stable QTLs and 17 potential candidate genes associated with 100-seed weight in soybean. Soybean is an economically important crop that is rich in seed oil and protein. The 100-seed weight (HSW) is a crucial yield contributing trait.
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