Evidence map›Paper›PMID 31409800›Full record

ArticleNature communications2019

GWAS for urinary sodium and potassium excretion highlights pathways shared with cardiovascular traits.

Raha Pazoki, Evangelos Evangelou, David Mosen-Ansorena, Rui Climaco Pinto, Ibrahim Karaman, Paul Blakeley, Dipender Gill, Verena Zuber, Paul Elliott, Ioanna Tzoulaki and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
9.4field-weighted citation impact, top 1% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 72 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

11 authors at 4 institutions in 2 countries.

Raha PazokiMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK.
Evangelos EvangelouMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK.ORCID http://orcid.org/0000-0002-5488-2999
David Mosen-AnsorenaMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK.
Rui Climaco PintoMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK.
Ibrahim KaramanMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK.ORCID http://orcid.org/0000-0001-9341-8155
Paul BlakeleyMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK.
Dipender GillMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK.ORCID http://orcid.org/0000-0001-7312-7078
Verena ZuberMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK.
Paul ElliottMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK.ORCID http://orcid.org/0000-0002-7511-5684
Ioanna TzoulakiMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK. i.tzoulaki@imperial.ac.uk.ORCID http://orcid.org/0000-0002-4275-9328
Abbas DehghanMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary's campus, Norfolk Place, London, W2 1PG, UK. a.dehghan@imperial.ac.uk.
MRC Centre for Environment and HealthUK Dementia Research Institute · GBNIHR Imperial Biomedical Research Centre · GBUniversity of Ioannina · GR

Funding

British Heart FoundationMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/L01341X/1Medical Research Council MR/L01632X/1Medical Research Council MR/R023484/1Medical Research Council MR/R026505/1Wellcome Trust
6 · The paper itself

Abstract

Urinary sodium and potassium excretion are associated with blood pressure (BP) and cardiovascular disease (CVD). The exact biological link between these traits is yet to be elucidated. Here, we identify 50 loci for sodium and 13 for potassium excretion in a large-scale genome-wide association study (GWAS) on urinary sodium and potassium excretion using data from 446,237 individuals of European descent from the UK Biobank study. We extensively interrogate the results using multiple analyses such as Mendelian randomization, functional assessment, co localization, genetic risk score, and pathway analyses. We identify a shared genetic component between urinary sodium and potassium expression and cardiovascular traits. Ingenuity pathway analysis shows that urinary sodium and potassium excretion loci are over-represented in behavioural response to stimuli. Our study highlights pathways that are shared between urinary sodium and potassium excretion and cardiovascular traits.

Indexed as

Genome-Wide Association StudyBlood PressureCardiovascular DiseasesFemaleHumansMalePolymorphism, Single NucleotidePotassiumSodiumPotassiumSodium

Identifiers

PMID31409800
PMCPMC6692500
OpenAlexW2967336288

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.