- By FYH News Team
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. 2022 Jul 20;S0085-2538(22)00547-6.
doi: 10.1016/j.kint.2022.07.005.
Online ahead of print.
Affiliations
Affiliations
- 1 Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
- 2 Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
- 3 Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany.
- 4 Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
- 5 Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany; McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- 6 Nephrology Division and Endocrine Unit, Massachusetts General Hospital, Boston, MA.
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Aditya Surapaneni et al.
Kidney Int.
.
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. 2022 Jul 20;S0085-2538(22)00547-6.
doi: 10.1016/j.kint.2022.07.005.
Online ahead of print.
Affiliations
- 1 Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
- 2 Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
- 3 Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany.
- 4 Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
- 5 Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany; McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- 6 Nephrology Division and Endocrine Unit, Massachusetts General Hospital, Boston, MA.
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Abstract
Investigations into the causal underpinnings of disease processes can be aided by the incorporation of genetic information. Genetic studies require populations varied in both ancestry and prevalent disease in order to optimize discovery and ensure generalizability of findings to the global population. Here, we report the genetic determinants of the serum proteome in 466 African Americans with chronic kidney disease attributed to hypertension from the richly phenotyped African American Study of Kidney Disease and Hypertension (AASK) study. Using the largest aptamer-based protein profiling platform to date (6,790 proteins or protein complexes), we identified 969 genetic associations with 900 unique proteins; including 52 novel cis (local) associations and 379 novel trans (distant) associations. The genetic effects of previously published cis-protein quantitative trait loci (pQTLs) were found to be highly reproducible, and we found evidence that our novel genetic signals colocalize with gene expression and disease processes. Many trans- pQTLs were found to reflect associations mediated by the circulating cis protein, and the common trans-pQTLs are enriched for processes involving extracellular vesicles, highlighting a plausible mechanism for distal regulation of the levels of secreted proteins. Thus, our study generates a valuable resource of genetic associations linking variants to protein levels and disease in an understudied patient population to inform future studies of drug targets and physiology.
Keywords:
genome-wide association study; pQTL; proteome.
Copyright © 2022. Published by Elsevier Inc.
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