Evidence map›Paper›PMID 24586186›Full record

ArticlePLoS genetics2014

Genome-wide association study of metabolic traits reveals novel gene-metabolite-disease links.

Rico Rueedi, Mirko Ledda, Andrew W Nicholls, Reza M Salek, Pedro Marques-Vidal, Edgard Morya, Koichi Sameshima, Ivan Montoliu, Laeticia Da Silva, Sebastiano Collino and 12 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 4 pooled it
5.0field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 4 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
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  12. Biallelic Variants inInternational journal of molecular sciences · 2022
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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

22 authors at 12 institutions in 5 countries.

Rico RueediDepartment of Medical Genetics, University of Lausanne, Lausanne, Switzerland ; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Mirko LeddaDepartment of Food-Consumer Interaction, Nestlé Research Center, Lausanne, Switzerland.
Andrew W NichollsInvestigative Preclinical Toxicology, GlaxoSmithKline R&D, Ware, Herts, United Kingdom.
Reza M SalekEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom ; Department of Biochemistry & Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Pedro Marques-VidalInstitute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland.
Edgard MoryaSensonomic Laboratory of Alberto Santos Dumont Research Support Association and IEP Sirio, Libanes Hospital, São Paulo, Brazil ; Edmond and Lily Safra International Institute of Neuroscience of Natal, Natal, Brazil.
Koichi SameshimaDepartment of Radiology and Oncology, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Ivan MontoliuDepartment of Bioanalytical Sciences, Nestlé Research Center, Lausanne, Switzerland.
Laeticia Da SilvaDepartment of Bioanalytical Sciences, Nestlé Research Center, Lausanne, Switzerland.
Sebastiano CollinoDepartment of Bioanalytical Sciences, Nestlé Research Center, Lausanne, Switzerland.
François-Pierre MartinDepartment of Bioanalytical Sciences, Nestlé Research Center, Lausanne, Switzerland.
Serge RezziDepartment of Bioanalytical Sciences, Nestlé Research Center, Lausanne, Switzerland.
Christoph SteinbeckEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
Dawn M WaterworthMedical Genetics, GlaxoSmithKline, Philadelphia, Pennsylvania, United States of America.
Gérard WaeberDepartment of Medicine, Internal Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
Peter VollenweiderDepartment of Medicine, Internal Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
Jacques S BeckmannDepartment of Medical Genetics, University of Lausanne, Lausanne, Switzerland ; Swiss Institute of Bioinformatics, Lausanne, Switzerland ; Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
Johannes Le CoutreDepartment of Food-Consumer Interaction, Nestlé Research Center, Lausanne, Switzerland ; Organization for Interdisciplinary Research Projects, The University of Tokyo, Yayoi, Bunkyo-ku, Tokyo, Japan.
Vincent MooserDepartment of Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
Sven BergmannDepartment of Medical Genetics, University of Lausanne, Lausanne, Switzerland ; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Ulrich K GenickDepartment of Food-Consumer Interaction, Nestlé Research Center, Lausanne, Switzerland.
Zoltán KutalikDepartment of Medical Genetics, University of Lausanne, Lausanne, Switzerland ; Swiss Institute of Bioinformatics, Lausanne, Switzerland ; Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland.
Nestlé (Switzerland) · CHUniversity Hospital of Lausanne · CHBioanalytica (Switzerland) · CHSIB Swiss Institute of Bioinformatics · CHEuropean Bioinformatics Institute · GBGlaxoSmithKline (United Kingdom) · GBGlaxoSmithKline (United States) · USHospital Sírio-Libanês · BRThe University of Tokyo · JPUniversidade de São Paulo · BRUniversity of Lausanne · CHWellcome Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic traits are molecular phenotypes that can drive clinical phenotypes and may predict disease progression. Here, we report results from a metabolome- and genome-wide association study on (1)H-NMR urine metabolic profiles. The study was conducted within an untargeted approach, employing a novel method for compound identification. From our discovery cohort of 835 Caucasian individuals who participated in the CoLaus study, we identified 139 suggestively significant (P<5×10(-8)) and independent associations between single nucleotide polymorphisms (SNP) and metabolome features. Fifty-six of these associations replicated in the TasteSensomics cohort, comprising 601 individuals from São Paulo of vastly diverse ethnic background. They correspond to eleven gene-metabolite associations, six of which had been previously identified in the urine metabolome and three in the serum metabolome. Our key novel findings are the associations of two SNPs with NMR spectral signatures pointing to fucose (rs492602, P = 6.9×10(-44)) and lysine (rs8101881, P = 1.2×10(-33)), respectively. Fine-mapping of the first locus pinpointed the FUT2 gene, which encodes a fucosyltransferase enzyme and has previously been associated with Crohn's disease. This implicates fucose as a potential prognostic disease marker, for which there is already published evidence from a mouse model. The second SNP lies within the SLC7A9 gene, rare mutations of which have been linked to severe kidney damage. The replication of previous associations and our new discoveries demonstrate the potential of untargeted metabolomics GWAS to robustly identify molecular disease markers.

Indexed as

MetabolomicsUrineAmino Acid Transport Systems, BasicAnimalsCrohn DiseaseFucosyltransferasesGalactoside 2-alpha-L-fucosyltransferaseGenome-Wide Association StudyHumansKidney DiseasesMagnetic Resonance SpectroscopyMaleMetabolomeMicePolymorphism, Single NucleotideAmino Acid Transport Systems, BasicFucosyltransferasesGalactoside 2-alpha-L-fucosyltransferaseSLC7A9 protein, human

Identifiers

PMID24586186
PMCPMC3930510
OpenAlexW2084830302

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.