Transcriptome- and proteome-wide association studies nominate determinants of kidney function and damage

被引:0
作者
Pascal Schlosser
Jingning Zhang
Hongbo Liu
Aditya L. Surapaneni
Eugene P. Rhee
Dan E. Arking
Bing Yu
Eric Boerwinkle
Paul A. Welling
Nilanjan Chatterjee
Katalin Susztak
Josef Coresh
Morgan E. Grams
机构
[1] Department of Epidemiology,Department of Biostatistics
[2] Johns Hopkins Bloomberg School of Public Health,Department of Medicine and Genetics
[3] Johns Hopkins Bloomberg School of Public Health,Welch Center for Prevention Epidemiology and Clinical Research
[4] Perelman School of Medicine,Division of Precision Medicine
[5] University of Pennsylvania,Nephrology Division and Endocrine Unit
[6] Johns Hopkins University,McKusick
[7] New York University Grossman School of Medicine,Nathans Institute, Department of Genetic Medicine
[8] Massachusetts General Hospital,Epidemiology, Human Genetics and Environmental Sciences, School of Public Health
[9] Johns Hopkins University School of Medicine,Human Genome Sequencing Center
[10] University of Texas Health Science Center at Houston,Department of Medicine
[11] Baylor College of Medicine,Department of Physiology
[12] Johns Hopkins University School of Medicine,undefined
[13] Johns Hopkins University School of Medicine,undefined
来源
Genome Biology | / 24卷
关键词
Genetics; Nephrology; Chronic kidney disease; Transcriptomics; Proteomics; GWAS; TWAS; PWAS; eGFR; BUN; ACR; End-stage kidney disease;
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  • [1] Levey AS(2012)Chronic kidney disease Lancet 379 165-180
  • [2] Coresh J(2013)Evolving importance of kidney disease: from subspecialty to global health burden Lancet 382 158-169
  • [3] Eckardt KU(2017)Connecting genetic risk to disease end points through the human blood plasma proteome Nat Commun 8 14357-252
  • [4] Suhre K(2016)Integrative approaches for large-scale transcriptome-wide association studies Nat Genet 48 245-1098
  • [5] Gusev A(2015)A gene-based association method for mapping traits using reference transcriptome data Nat Genet 47 1091-121
  • [6] Gamazon ER(2017)Non-parametric genetic prediction of complex traits with latent Dirichlet process regression models Nat Commun 8 456-1131
  • [7] Zeng P(2021)Transcriptome-wide association studies: a view from Mendelian randomization Quant Biol 9 107-972
  • [8] Zhou X(2020)Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases Nat Genet 52 1122-2340
  • [9] Zhu H(2021)A more accurate method for colocalisation analysis allowing for multiple causal variants PLoS Genet 17 957-242
  • [10] Zhou X(2014)Bayesian test for colocalisation between pairs of genetic association studies using summary statistics PLoS Genet 10 4130-1592