Identifying causal serum protein–cardiometabolic trait relationships using whole genome sequencing
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2022/11/09
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Journal
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Indian UGC (journal)
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Refrences50
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Citations4
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Grace Png Institute of Translational Genomics , Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg 85764, GermanyTechnical University of Munich (TUM), School of Medicine , Munich 80333, Germany
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Raffaele Gerlini Institute of Experimental Genetics, German Mouse Clinic , Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, GermanyGerman Center for Diabetes Research (DZD) , Neuherberg 40225, Germany
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Konstantinos Hatzikotoulas Institute of Translational Genomics , Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg 85764, Germany
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Andrei Barysenka Institute of Translational Genomics , Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg 85764, Germany
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N William Rayner Institute of Translational Genomics , Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg 85764, Germany
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Lucija Klarić MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh , Edinburgh EH8 9QN, UK ORCID (unauthenticated)
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Birgit Rathkolb Institute of Experimental Genetics, German Mouse Clinic , Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, GermanyGerman Center for Diabetes Research (DZD) , Neuherberg 40225, GermanyInstitute of Molecular Animal Breeding and Biotechnology , Gene Center, Ludwig-Maximilians University Munich, Munich 80539, Germany
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Juan A Aguilar-Pimentel Institute of Experimental Genetics, German Mouse Clinic , Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany
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Jan Rozman Institute of Experimental Genetics, German Mouse Clinic , Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, GermanyGerman Center for Diabetes Research (DZD) , Neuherberg 40225, GermanyInstitute of Molecular Genetics of the Czech Academy of Sciences , Czech Centre for Phenogenomics, Vestec 25250, Czech Republic
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Helmut Fuchs Institute of Experimental Genetics, German Mouse Clinic , Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany
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Valerie Gailus-Durner Institute of Experimental Genetics, German Mouse Clinic , Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany
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Emmanouil Tsafantakis Anogia Medical Centre , Anogia 74150, Greece
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Maria Karaleftheri Echinos Medical Centre , Echinos 67300, Greece
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George Dedoussis Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens , Athens 17671, Greece
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Claus Pietrzik Institute for Pathobiochemistry, University Medical Center of the Johannes Gutenberg University Mainz , Mainz 55122, Germany
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James F Wilson MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh , Edinburgh EH8 9QN, UKCentre for Global Health Research, Usher Institute, University of Edinburgh , Edinburgh EH8 9QN, UK
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Martin Hrabe de Angelis Institute of Experimental Genetics, German Mouse Clinic , Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, GermanyGerman Center for Diabetes Research (DZD) , Neuherberg 40225, GermanyChair of Experimental Genetics, TUM School of Life Sciences, Technical University of Munich , Freising 80333, Germany
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Christoph Becker-Pauly Institute of Biochemistry, Unit for Degradomics of the Protease Web, University of Kiel , Kiel 24118, Germany
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Arthur Gilly Institute of Translational Genomics , Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg 85764, Germany
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Eleftheria Zeggini Institute of Translational Genomics , Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg 85764, GermanyTechnical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine , Munich 80333, Germany
Abstract
Cite
Png, Grace, et al. “Identifying Causal Serum protein–cardiometabolic Trait Relationships Using Whole Genome Sequencing”. Human Molecular Genetics, vol. 32, no. 8, 2022, pp. 1266-75, https://doi.org/10.1093/hmg/ddac275.
Png, G., Gerlini, R., Hatzikotoulas, K., Barysenka, A., Rayner, N. W., Klarić, L., Rathkolb, B., Aguilar-Pimentel, J. A., Rozman, J., Fuchs, H., Gailus-Durner, V., Tsafantakis, E., Karaleftheri, M., Dedoussis, G., Pietrzik, C., Wilson, J. F., de Angelis, M. H., Becker-Pauly, C., Gilly, A., & Zeggini, E. (2022). Identifying causal serum protein–cardiometabolic trait relationships using whole genome sequencing. Human Molecular Genetics, 32(8), 1266-1275. https://doi.org/10.1093/hmg/ddac275
Png, Grace, Raffaele Gerlini, Konstantinos Hatzikotoulas, Andrei Barysenka, N William Rayner, Lucija Klarić, Birgit Rathkolb, et al. “Identifying Causal Serum protein–cardiometabolic Trait Relationships Using Whole Genome Sequencing”. Human Molecular Genetics 32, no. 8 (2022): 1266-75. https://doi.org/10.1093/hmg/ddac275.
Png G, Gerlini R, Hatzikotoulas K, Barysenka A, Rayner NW, Klarić L, et al. Identifying causal serum protein–cardiometabolic trait relationships using whole genome sequencing. Human Molecular Genetics. 2022;32(8):1266-75.
Journal Categories
Science
Biology (General)
Science
Biology (General)
Genetics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Gene-based whole genome sequencing meta-analysis of 250 circulating proteins in three isolated European populations | Molecular Metabolism |
| 3 | 2022 |
Mapping the proteo-genomic convergence of human diseases | Science |
| 139 | 2021 |
| Multi-proteomic approach to predict specific cardiovascular events in patients with diabetes and myocardial infarction: findings from the EXAMINE trial | Clinical Research in Cardiology |
| 20 | 2021 |
Ensembl 2021 | Nucleic Acids Research |
| 945 | 2021 |
Open Targets Platform: supporting systematic drug–target identification and prioritisation | Nucleic Acids Research |
| 185 | 2021 |
Refrences Analysis
The category
Science: Biology (General) 25
is the most frequently represented among the references in this article. It primarily includes studies from Nature Communications and Nucleic Acids Research. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Genetic Associations of Circulating Cardiovascular Proteins With Gestational Hypertension and Preeclampsia | JAMA Cardiology |
| 2 | 2024 |
| The influence of gut microbiota on circulating inflammatory cytokines and host: A Mendelian randomization study with meta-analysis | Life Sciences |
| 2023 | |
| Genome-wide meta-analysis of 92 cardiometabolic protein serum levels | Molecular Metabolism |
| 2023 | |
Proteomic architecture of frailty across the spectrum of cardiovascular disease | Aging Cell |
| 2023 |
Citations Analysis
The category
Medicine: Medicine (General) 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Genome-wide meta-analysis of 92 cardiometabolic protein serum levels and was published in 2023. The most recent citation comes from a 2024 study titled Genetic Associations of Circulating Cardiovascular Proteins With Gestational Hypertension and Preeclampsia. This article reached its peak citation in 2023, with 3 citations. It has been cited in 4 different journals, 25% of which are open access. Among related journals, the JAMA Cardiology cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.