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Abstract
Promoters play a crucial role in regulating gene transcription. However, our understanding of how genetic variants influence alternative promoter selection is still incomplete. In this study, we implement a framework to identify genetic variants that affect the relative usage of alternative promoters, known as promoter usage quantitative trait loci (puQTLs). By constructing an atlas of human puQTLs across 49 different tissues from 838 individuals, we have identified approximately 76,856 independent loci associated with promoter usage, encompassing 602,009 genetic variants. Our study demonstrates that puQTLs represent a distinct type of molecular quantitative trait loci, effectively uncovering regulatory targets and patterns. Furthermore, puQTLs are regulating in a tissue-specific manner and are enriched with binding sites of epigenetic marks and transcription factors, especially those involved in chromatin architecture formation. Notably, we have also found that puQTLs colocalize with complex traits or diseases and contribute to their heritability. Collectively, our findings underscore the significant role of puQTLs in elucidating the molecular mechanisms underlying tissue development and complex diseases.
In this study, the authors create an atlas of promoter usage QTLs across 49 tissues from 838 individuals, identifying 602,009 genetic variants associated with promoter usage, offering insights into the genetic regulation of transcription.
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1 Tianjin Medical University, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin Institutes of Health Science, Department of Geriatrics, Tianjin Medical University General Hospital, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228)
2 Tianjin Medical University, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin Institutes of Health Science, Department of Geriatrics, Tianjin Medical University General Hospital, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228); Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin Key Laboratory of Elderly Health, Tianjin, China (GRID:grid.412645.0) (ISNI:0000 0004 1757 9434); Tianjin Medical University, Tianjin Key Laboratory of Inflammatory Biology, Department of Pharmacology, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228); Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228)
3 Tianjin Medical University, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin Institutes of Health Science, Department of Geriatrics, Tianjin Medical University General Hospital, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228); Tianjin Medical University, Tianjin Key Laboratory of Inflammatory Biology, Department of Pharmacology, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228); Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228)
4 Tianjin Medical University, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin Institutes of Health Science, Department of Geriatrics, Tianjin Medical University General Hospital, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228); Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228)
5 Tianjin Medical University, Tianjin Key Laboratory of Inflammatory Biology, Department of Pharmacology, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228); Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228)
6 Tianjin Medical University, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin Institutes of Health Science, Department of Geriatrics, Tianjin Medical University General Hospital, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228); Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin Key Laboratory of Elderly Health, Tianjin, China (GRID:grid.412645.0) (ISNI:0000 0004 1757 9434)