Evidence map›Paper›PMID 22916037›Full record

ArticlePLoS genetics2012

Novel Loci for metabolic networks and multi-tissue expression studies reveal genes for atherosclerosis.

Michael Inouye, Samuli Ripatti, Johannes Kettunen, Leo-Pekka Lyytikäinen, Niku Oksala, Pirkka-Pekka Laurila, Antti J Kangas, Pasi Soininen, Markku J Savolainen, Jorma Viikari and 10 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 6 pooled it
11.0field-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

103 citing papers in PubMed, 6 syntheses or guidelines pooled it, 190 citations in OpenAlex.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
    Pooled it
  2. Integration ofFrontiers in immunology · 2023
    Pooled it
  3. Pooled it
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  9. Identification of genetic variants influencing the human plasma proteome.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Trial
  10. Article
  11. Article
  12. Alpha1-Antitrypsin in Lung Diseases: A Cross-Sectional Observational Study.International journal of molecular sciences · 2025
    Observational
  13. Article
  14. Article
  15. Heliyon · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 13 institutions in 5 countries.

Michael InouyeMedical Systems Biology, Departments of Pathology and of Microbiology and Immunology, The University of Melbourne, Parkville, Victoria, Australia. minouye@unimelb.edu.au
Samuli Ripatti
Johannes Kettunen
Leo-Pekka Lyytikäinen
Niku Oksala
Pirkka-Pekka Laurila
Antti J Kangas
Pasi Soininen
Markku J Savolainen
Jorma Viikari
Mika Kähönen
Markus Perola
Veikko Salomaa
Olli Raitakari
Terho Lehtimäki
Marja-Riitta Taskinen
Marjo-Riitta Järvelin
Mika Ala-Korpela
Aarno Palotie
Paul I W de Bakker
University of Oulu · FITampere University · FIFinnish Institute for Health and Welfare · FIUniversity of Helsinki · FIBrigham and Women's Hospital · USBroad Institute · USHelsinki University Hospital · FITampere University Hospital · FITurku University Hospital · FIUniversity of Eastern Finland · FIUniversity of Melbourne · AUUniversity of Turku · FIWellcome Sanger Institute · GB

Funding

Wellcome TrustWellcome Trust GR069224
6 · The paper itself

Abstract

Association testing of multiple correlated phenotypes offers better power than univariate analysis of single traits. We analyzed 6,600 individuals from two population-based cohorts with both genome-wide SNP data and serum metabolomic profiles. From the observed correlation structure of 130 metabolites measured by nuclear magnetic resonance, we identified 11 metabolic networks and performed a multivariate genome-wide association analysis. We identified 34 genomic loci at genome-wide significance, of which 7 are novel. In comparison to univariate tests, multivariate association analysis identified nearly twice as many significant associations in total. Multi-tissue gene expression studies identified variants in our top loci, SERPINA1 and AQP9, as eQTLs and showed that SERPINA1 and AQP9 expression in human blood was associated with metabolites from their corresponding metabolic networks. Finally, liver expression of AQP9 was associated with atherosclerotic lesion area in mice, and in human arterial tissue both SERPINA1 and AQP9 were shown to be upregulated (6.3-fold and 4.6-fold, respectively) in atherosclerotic plaques. Our study illustrates the power of multi-phenotype GWAS and highlights candidate genes for atherosclerosis.

Indexed as

Quantitative Trait Locialpha 1-AntitrypsinAnimalsAquaporinsArteriesAtherosclerosisGene Expression ProfilingGenetic Predisposition to DiseaseGenetics, PopulationGenome, HumanGenome-Wide Association StudyGenotypeHumansLiverMagnetic Resonance SpectroscopyMetabolic Networks and Pathwaysalpha 1-AntitrypsinAQP9 protein, humanAquaporinsSERPINA1 protein, human

Identifiers

PMID22916037
PMCPMC3420921
OpenAlexW2163328685

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.