|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Summary statistics for "Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis" |
|
Identification Number: |
doi:10.18710/J7ARK5 |
|
Distributor: |
DataverseNO |
|
Date of Distribution: |
2021-06-29 |
|
Version: |
1 |
|
Bibliographic Citation: |
Graham, Sarah E.; Willer, Cristen J., 2021, "Summary statistics for "Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis"", https://doi.org/10.18710/J7ARK5, DataverseNO, V1 |
|
Citation |
|
|
Title: |
Summary statistics for "Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis" |
|
Identification Number: |
doi:10.18710/J7ARK5 |
|
Authoring Entity: |
Graham, Sarah E. (University of Michigan) |
|
Willer, Cristen J. (University of Michigan) |
|
|
Producer: |
NTNU – Norwegian University of Science and Technology |
|
University of Michigan |
|
|
Distributor: |
DataverseNO |
|
Distributor: |
NTNU – Norwegian University of Science and Technology |
|
Access Authority: |
Gabrielsen, Maiken E. |
|
Depositor: |
Tellefsen, Janne |
|
Date of Deposit: |
2021-06-22 |
|
Date of Distribution: |
2019-04-23 |
|
Holdings Information: |
https://doi.org/10.18710/J7ARK5 |
|
Study Scope |
|
|
Keywords: |
Medicine, Health and Life Sciences, Chronic kidney disease, CKD, Kidney function, GWAS, The Trøndelag Health Study (HUNT), eGFR, Michigan Genomics Initiative, Quantitative trait loci |
|
Abstract: |
Chronic kidney disease (CKD) is a growing health burden currently affecting 10–15% of adults worldwide. Estimated glomerular filtration rate (eGFR) as a marker of kidney function is commonly used to diagnose CKD. We analyze eGFR data from the Nord-Trøndelag Health Study and Michigan Genomics Initiative and perform a GWAS meta-analysis with public summary statistics, more than doubling the sample size of previous meta-analyses. We identify 147 loci (53 novel) associated with eGFR, including genes involved in transcriptional regulation, kidney development, cellular signaling, metabolism, and solute transport. Additionally, sex-stratified analysis identifies one locus with more significant effects in women than men. Using genetic risk scores constructed from these eGFR meta-analysis results, we show that associated variants are generally predictive of CKD with only modest improvements in detection compared with other known clinical risk factors. Collectively, these results yield additional insight into the genetic factors underlying kidney function and progression to CKD. |
|
Kind of Data: |
Summary statistics (results) from GWAS meta- analysis. |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Other Study Description Materials |
|
|
Related Publications |
|
|
Citation |
|
|
Title: |
Graham, S.E., Nielsen, J.B., Zawistowski, M. et al. Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis. Nat Commun 10, 1847 (2019). https://doi.org/10.1038/s41467-019-09861-z |
|
Identification Number: |
10.1038/s41467-019-09861-z |
|
Bibliographic Citation: |
Graham, S.E., Nielsen, J.B., Zawistowski, M. et al. Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis. Nat Commun 10, 1847 (2019). https://doi.org/10.1038/s41467-019-09861-z |
|
Label: |
00_README_eGFR.txt |
|
Notes: |
text/plain |
|
Label: |
NC2019_eGFR_meta.txt |
|
Notes: |
text/plain |