Evidence map›Paper›PMID 31630189›Full record

ArticleHuman molecular genetics2019

A genome-wide association study implicates multiple mechanisms influencing raised urinary albumin-creatinine ratio.

Francesco Casanova, Jessica Tyrrell, Robin N Beaumont, Yingjie Ji, Samuel E Jones, Andrew T Hattersley, Michael N Weedon, Anna Murray, Angela C Shore, Timothy M Frayling and 1 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Four missense genetic variants inFrontiers in endocrinology · 2023
    Article
  7. Article
  8. Bayesian model comparison for rare-variant association studies.American journal of human genetics · 2021
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Francesco CasanovaDiabetes and Vascular Medicine, NIHR Exeter Clinical Research Facility and College of Medicine and Health, University of Exeter, Exeter, UK.
Jessica TyrrellDiabetes and Vascular Medicine, NIHR Exeter Clinical Research Facility and College of Medicine and Health, University of Exeter, Exeter, UK.
Robin N BeaumontGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK.
Yingjie JiGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK.
Samuel E JonesGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK.
Andrew T HattersleyInstitute of Biomedical & Clinical Science, University of Exeter, Exeter, UK.
Michael N WeedonGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK.
Anna MurrayGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK.
Angela C ShoreDiabetes and Vascular Medicine, NIHR Exeter Clinical Research Facility and College of Medicine and Health, University of Exeter, Exeter, UK.
Timothy M FraylingGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK.
Andrew R WoodGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK.
University of Exeter · GB

Funding

British Heart Foundation PG/17/21/32844Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/M005070/1Medical Research Council MR/T002239/1Wellcome TrustWellcome Trust 090532/Z/09/ZWellcome Trust 104150/Z/14/ZWellcome Trust WT097835MF
6 · The paper itself

Abstract

Raised albumin-creatinine ratio (ACR) is an indicator of microvascular damage and renal disease. We aimed to identify genetic variants associated with raised ACR and study the implications of carrying multiple ACR-raising alleles with metabolic and vascular-related disease. We performed a genome-wide association study of ACR using 437 027 individuals from the UK Biobank in the discovery phase, 54 527 more than previous studies, and followed up our findings in independent studies. We identified 62 independent associations with ACR across 56 loci (P < 5 × 10-8), of which 20 were not previously reported. Pathway analyses and the identification of 20 of the 62 variants (at r2 > 0.8) coinciding with signals for at least 16 related metabolic and vascular traits, suggested multiple pathways leading to raised ACR levels. After excluding variants at the CUBN locus, known to alter ACR via effects on renal absorption, an ACR genetic risk score was associated with a higher risk of hypertension, and less strongly, type 2 diabetes and stroke. For some rare genotype combinations at the CUBN locus, most individuals had ACR levels above the microalbuminuria clinical threshold. Contrary to our hypothesis, individuals carrying more CUBN ACR-raising alleles, and above the clinical threshold, had a higher frequency of vascular disease. The CUBN allele effects on ACR were twice as strong in people with diabetes-a result robust to an optimization-algorithm approach to simulating interactions, validating previously reported gene-diabetes interactions (P ≤ 4 × 10-5). In conclusion, a variety of genetic mechanisms and traits contribute to variation in ACR.

Indexed as

AlbuminsAlbuminuriaAllelesCreatinineDiabetes Mellitus, Type 2FemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansHypertensionKidney DiseasesMaleMiddle AgedPolymorphism, Single NucleotideAlbuminsCreatinineintrinsic factor-cobalamin receptorReceptors, Cell Surface

Identifiers

PMID31630189
PMCPMC7246045
OpenAlexW2980581406

What Socratic holds

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LicenceCC BY
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Registered trials

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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.