Evidence map›Paper›PMID 30910378›Full record

ArticleKidney international2019

Identification of 22 novel loci associated with urinary biomarkers of albumin, sodium, and potassium excretion.

Daniela Zanetti, Abhiram Rao, Stefan Gustafsson, Themistocles L Assimes, Stephen B Montgomery, Erik Ingelsson

Open access · bronzeAbstract read
In one paragraph

Article in Kidney international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Daniela ZanettiDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA.
Abhiram RaoDepartment of Bioengineering, Stanford University, Stanford, California, USA.
Stefan GustafssonDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Themistocles L AssimesDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Stephen B MontgomeryDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA; Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Erik IngelssonDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA; Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. Electronic address: eriking@stanford.edu.
Stanford University · USScience for Life Laboratory · SE

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Beyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4M
Causal associations of circulating biomarkers with cardiovascular diseaseR01HL135313 · NHLBI · STANFORD UNIVERSITY · PI INGELSSON, ERIK · 2017 to 2019
$1.6M
NHLBI NIH HHS R01 HL135313NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK106236
6 · The paper itself

Abstract

Urine biomarkers reflecting kidney function and handling of dietary sodium and potassium are strongly associated with several common diseases including chronic kidney disease, cardiovascular disease, and diabetes mellitus. Knowledge about the genetic determinants of these biomarkers may shed light on pathophysiological mechanisms underlying the development of these diseases. We performed genome-wide association studies of urinary albumin: creatinine ratio (UACR), urinary potassium: creatinine ratio (UK/UCr), urinary sodium: creatinine ratio (UNa/UCr) and urinary sodium: potassium ratio (UNa/UK) in up to 218,450 (discovery) and 109,166 (replication) unrelated individuals of European ancestry from the UK Biobank. Further, we explored genetic correlations, tissue-specific gene expression, and possible genes implicated in the regulation of these biomarkers. After replication, we identified 19 genome-wide significant independent loci associated with UACR, 6 each with UK/UCr and UNa/UCr, and 4 with UNa/UK. In addition to 22 novel associations, we confirmed several established associations, including between the CUBN locus and microalbuminuria. We detected high pairwise genetic correlation across the urinary biomarkers, and between their levels and several physiological measurements. We highlight GIPR, a potential diabetes drug target, as possibly implicated in the genetic control of urinary potassium excretion, and NRBP1, a locus associated with gout, as plausibly involved in sodium and albumin excretion. Overall, we identified 22 novel genome-wide significant associations with urinary biomarkers and confirmed several previously established associations, providing new insights into the genetic basis of these traits and their connection to chronic diseases.

Indexed as

Genetic LociBiomarkersFemaleGenome-Wide Association StudyHumansMaleMiddle AgedPotassiumReceptors, Cytoplasmic and NuclearReceptors, Gastrointestinal HormoneRenal EliminationRenal Insufficiency, ChronicSerum Albumin, HumanSodiumVesicular Transport ProteinsBiomarkersgastric inhibitory polypeptide receptorNRBP1 protein, humanPotassiumReceptors, Cytoplasmic and NuclearReceptors, Gastrointestinal HormoneSerum Albumin, HumanSodiumVesicular Transport Proteinschronic kidney diseasegeneticsmicroalbuminuriaurinary biomarkers

Identifiers

PMID30910378
PMCPMC6535090
OpenAlexW2921290240

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.