Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis
Estimated glomerular filtration rate (eGFR) is a measure of kidney function and used to characterize chronic kidney disease. Here, Graham et al. identify 53 novel loci for eGFR in a GWAS meta-analysis, a subset of which are associated with other common diseases, such as diabetes and hypertension, ba...
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Nature Portfolio
2019
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oai:doaj.org-article:7de7f4e3a4e84b4f97be7b7ad13ccb612021-12-02T17:01:51ZSex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis10.1038/s41467-019-09861-z2041-1723https://doaj.org/article/7de7f4e3a4e84b4f97be7b7ad13ccb612019-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09861-zhttps://doaj.org/toc/2041-1723Estimated glomerular filtration rate (eGFR) is a measure of kidney function and used to characterize chronic kidney disease. Here, Graham et al. identify 53 novel loci for eGFR in a GWAS meta-analysis, a subset of which are associated with other common diseases, such as diabetes and hypertension, based on PheWAS.Sarah E. GrahamJonas B. NielsenMatthew ZawistowskiWei ZhouLars G. FritscheMaiken E. GabrielsenAnne Heidi SkogholtIda SurakkaWhitney E. HornsbyDamian FerminDaniel B. LarachSachin KheterpalChad M. BrummettSeunggeun LeeHyun Min KangGoncalo R. AbecasisSolfrid RomundstadStein HallanMatthew G. SampsonKristian HveemCristen J. WillerNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019) |
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Science Q Sarah E. Graham Jonas B. Nielsen Matthew Zawistowski Wei Zhou Lars G. Fritsche Maiken E. Gabrielsen Anne Heidi Skogholt Ida Surakka Whitney E. Hornsby Damian Fermin Daniel B. Larach Sachin Kheterpal Chad M. Brummett Seunggeun Lee Hyun Min Kang Goncalo R. Abecasis Solfrid Romundstad Stein Hallan Matthew G. Sampson Kristian Hveem Cristen J. Willer Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis |
description |
Estimated glomerular filtration rate (eGFR) is a measure of kidney function and used to characterize chronic kidney disease. Here, Graham et al. identify 53 novel loci for eGFR in a GWAS meta-analysis, a subset of which are associated with other common diseases, such as diabetes and hypertension, based on PheWAS. |
format |
article |
author |
Sarah E. Graham Jonas B. Nielsen Matthew Zawistowski Wei Zhou Lars G. Fritsche Maiken E. Gabrielsen Anne Heidi Skogholt Ida Surakka Whitney E. Hornsby Damian Fermin Daniel B. Larach Sachin Kheterpal Chad M. Brummett Seunggeun Lee Hyun Min Kang Goncalo R. Abecasis Solfrid Romundstad Stein Hallan Matthew G. Sampson Kristian Hveem Cristen J. Willer |
author_facet |
Sarah E. Graham Jonas B. Nielsen Matthew Zawistowski Wei Zhou Lars G. Fritsche Maiken E. Gabrielsen Anne Heidi Skogholt Ida Surakka Whitney E. Hornsby Damian Fermin Daniel B. Larach Sachin Kheterpal Chad M. Brummett Seunggeun Lee Hyun Min Kang Goncalo R. Abecasis Solfrid Romundstad Stein Hallan Matthew G. Sampson Kristian Hveem Cristen J. Willer |
author_sort |
Sarah E. Graham |
title |
Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis |
title_short |
Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis |
title_full |
Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis |
title_fullStr |
Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis |
title_full_unstemmed |
Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis |
title_sort |
sex-specific and pleiotropic effects underlying kidney function identified from gwas meta-analysis |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/7de7f4e3a4e84b4f97be7b7ad13ccb61 |
work_keys_str_mv |
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