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Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments
View ORCID ProfileXin Sheng, Ziyuan Ma, Junnan Wu, Hongbo Liu, Chengxiang Qiu, View ORCID ProfileZhen Miao, Matthew J. Seasock, Matthew Palmer, Myung K. Shin, Kevin L. Duffin, Steven S. Pullen, Todd L. Edwards, Jacklyn N. Hellwege, Adriana M. Hung, Mingyao Li, Benjamin Voight, Thomas Coffman, Christopher D. Brown, View ORCID ProfileKatalin Susztak
doi: https://doi.org/10.1101/2020.11.09.375592
Xin Sheng
1Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA
2Institute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
Ziyuan Ma
1Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA
2Institute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
Junnan Wu
1Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA
2Institute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
Hongbo Liu
1Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA
2Institute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
Chengxiang Qiu
1Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA
2Institute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
Zhen Miao
1Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA
2Institute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
Matthew J. Seasock
1Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA
2Institute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
Matthew Palmer
4Department of Pathology and Laboratory Medicine at the Hospital of the University of Pennsylvania, Philadelphia, PA, USA
Myung K. Shin
5Merck & Co., Inc., Kenilworth, NJ, USA
Kevin L. Duffin
6Eli Lilly and Company Lilly Corporate Center, Indianapolis, IN, USA
Steven S. Pullen
7Department of Cardiometabolic Diseases Research, Boehringer Ingelheim Pharmaceuticals, Ridgefield, Connecticut, USA
Todd L. Edwards
12Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Centre, Nashville, TN, USA
Jacklyn N. Hellwege
12Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Centre, Nashville, TN, USA
Adriana M. Hung
13Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
Mingyao Li
8Department of Epidemiology and Biostatistics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
Benjamin Voight
2Institute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
9Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
10Institute of Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
Thomas Coffman
11Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore Division of Nephrology, Duke University School of Medicine, Durham NC, USA
Christopher D. Brown
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
Katalin Susztak
1Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA
2Institute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
3Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
Posted November 10, 2020.
Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments
Xin Sheng, Ziyuan Ma, Junnan Wu, Hongbo Liu, Chengxiang Qiu, Zhen Miao, Matthew J. Seasock, Matthew Palmer, Myung K. Shin, Kevin L. Duffin, Steven S. Pullen, Todd L. Edwards, Jacklyn N. Hellwege, Adriana M. Hung, Mingyao Li, Benjamin Voight, Thomas Coffman, Christopher D. Brown, Katalin Susztak
bioRxiv 2020.11.09.375592; doi: https://doi.org/10.1101/2020.11.09.375592
Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments
Xin Sheng, Ziyuan Ma, Junnan Wu, Hongbo Liu, Chengxiang Qiu, Zhen Miao, Matthew J. Seasock, Matthew Palmer, Myung K. Shin, Kevin L. Duffin, Steven S. Pullen, Todd L. Edwards, Jacklyn N. Hellwege, Adriana M. Hung, Mingyao Li, Benjamin Voight, Thomas Coffman, Christopher D. Brown, Katalin Susztak
bioRxiv 2020.11.09.375592; doi: https://doi.org/10.1101/2020.11.09.375592
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