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Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

C., Pattaro ; Fava, C. LU ; Hedblad, B. LU ; Melander, O. LU orcid ; Nilsson, P. LU ; Sjögren, M. LU and C.S., Fox (2016) In Nature Communications 7.
Abstract
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and... (More)
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways. (Less)
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keywords
biological marker, creatinine, cystatin C, deoxyribonuclease I, morpholino oligonucleotide, cardiovascular disease, cells and cell components, diabetes, enzyme activity, genetic analysis, glucose, meta-analysis, metabolism, physiological response, adrenal cortex, adrenal gland, adult, Article, bioinformatics, chromatin, controlled study, creatinine blood level, diabetes mellitus, embryo, embryonic stem cell, ethnic group, ethnicity, gene locus, gene replication, genetic association, genetic susceptibility, genetic variability, genotype, glomerulus filtration rate, glucose metabolism, human, human cell, hypertension, kidney cell, kidney development, kidney epithelium, kidney function, kidney parenchyma, kidney proximal tubule, kidney structure, phenotype, single nucleotide polymorphism, chronic kidney failure, gene expression regulation, genetic predisposition, genetics, genome-wide association study, meta analysis, Gene Expression Regulation, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Renal Insufficiency, Chronic
in
Nature Communications
volume
7
article number
10023
publisher
Nature Publishing Group
external identifiers
  • scopus:84957605211
ISSN
2041-1723
DOI
10.1038/ncomms10023
language
English
LU publication?
yes
id
cf4d2963-8fdc-45d0-a3ec-1c894cb0f1a4
date added to LUP
2022-04-04 13:38:01
date last changed
2024-01-06 13:21:07
@article{cf4d2963-8fdc-45d0-a3ec-1c894cb0f1a4,
  abstract     = {{Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.}},
  author       = {{C., Pattaro and Fava, C. and Hedblad, B. and Melander, O. and Nilsson, P. and Sjögren, M. and C.S., Fox}},
  issn         = {{2041-1723}},
  keywords     = {{biological marker; creatinine; cystatin C; deoxyribonuclease I; morpholino oligonucleotide; cardiovascular disease; cells and cell components; diabetes; enzyme activity; genetic analysis; glucose; meta-analysis; metabolism; physiological response; adrenal cortex; adrenal gland; adult; Article; bioinformatics; chromatin; controlled study; creatinine blood level; diabetes mellitus; embryo; embryonic stem cell; ethnic group; ethnicity; gene locus; gene replication; genetic association; genetic susceptibility; genetic variability; genotype; glomerulus filtration rate; glucose metabolism; human; human cell; hypertension; kidney cell; kidney development; kidney epithelium; kidney function; kidney parenchyma; kidney proximal tubule; kidney structure; phenotype; single nucleotide polymorphism; chronic kidney failure; gene expression regulation; genetic predisposition; genetics; genome-wide association study; meta analysis; Gene Expression Regulation; Genetic Predisposition to Disease; Genome-Wide Association Study; Genotype; Humans; Renal Insufficiency, Chronic}},
  language     = {{eng}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Nature Communications}},
  title        = {{Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function}},
  url          = {{http://dx.doi.org/10.1038/ncomms10023}},
  doi          = {{10.1038/ncomms10023}},
  volume       = {{7}},
  year         = {{2016}},
}