Published January 6, 2022
| Version v1
Dataset
Open
Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
Authors/Creators
- Charles E. Breeze
- Anna Batorsky
- Mi Kyeong Lee
- Mindy D. Szeto
- Xiaoguang Xu
- Daniel L. McCartney
- Rong Jiang
- Amit Patki
- Holly J. Kramer
- James M. Eales
- Laura Raffield
- Leslie Lange
- Ethan Lange
- Peter Durda
- Yongmei Liu
- Russ P. Tracy
- David Van Den Berg
- NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
- TOPMed MESA Multi-Omics Working Group
- Kathryn L. Evans
- William E. Kraus
- Svati Shah
- Hermant K. Tiwari
- Lifang Hou
- Eric A. Whitsel
- Xiao Jiang
- Fadi J. Charchar
- Andrea A. Baccarelli
- Stephen S. Rich
- Andrew P. Morris
- Marguerite R. Irvin
- Donna K. Arnett
- Elizabeth R. Hauser
- Jerome I. Rotter
- Adolfo Correa
- Caroline Hayward
- Steve Horvath
- Riccardo E. Marioni
- Maciej Tomaszewski
- Stephan Beck
- Sonja I. Berndt
- Stephanie J. London
- Josyf C. Mychaleckyj
- Nora Franceschini
Description
Trans-ethnic meta-analysis results for eGFR EWAS
Description of variables:
CpG CPG name
chr Chromosome
pos_hg38 Position hg38
Beta Effect
SE Standard error
P P value
totalsamplesize number of participants
direction direction of effect for studies
hetpval P value for heterogeneity
hetdf Degree of freedom
gene Gene location
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Files
results.csv
Files
(51.3 MB)
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