Evidence map›Paper›PMID 23378610›Full record

ArticleDiabetes2013

Genetic variants associated with glycine metabolism and their role in insulin sensitivity and type 2 diabetes.

Weijia Xie, Andrew R Wood, Valeriya Lyssenko, Michael N Weedon, Joshua W Knowles, Sami Alkayyali, Themistocles L Assimes, Thomas Quertermous, Fahim Abbasi, Jussi Paananen and 17 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed, 4 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
    Pooled it
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  16. Frontiers in endocrinology · 2022
    Observational
  17. The association of genetically determined serum glycine with cardiovascular risk in East Asians.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2021
    Article
  18. Article
  19. Article
  20. Review
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

27 authors at 12 institutions in 8 countries.

Weijia XieGenetics of Complex Traits, Peninsula School of Medicine, University of Exeter, Exeter, UK.
Andrew R Wood
Valeriya Lyssenko
Michael N Weedon
Joshua W Knowles
Sami Alkayyali
Themistocles L Assimes
Thomas Quertermous
Fahim Abbasi
Jussi Paananen
Hans Häring
Torben Hansen
Oluf Pedersen
Ulf Smith
Markku Laakso
MAGIC Investigators
DIAGRAM Consortium
GENESIS Consortium
RISC Consortium
Jacqueline M Dekker
John J Nolan
Leif Groop
Ele Ferrannini
Klaus-Peter Adam
Walter E Gall
Timothy M Frayling
Mark Walker
University of Exeter · GBStanford University · USLund University · SESteno Diabetes Centers · DKUniversity of Copenhagen · DKUniversity of Eastern Finland · FIUniversity of Pisa · ITNewcastle University · GBTriangle · USUniversity of Gothenburg · SEUniversity of Tübingen · DEVrije Universiteit Amsterdam · NL

Funding

GENETIC DETERMINANTS OF HYPERTENSIONU01HL054527 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS NONE · 1995 to 2004
$4.6M
Medical Research Council G0500070Medical Research Council G0601261Wellcome TrustWellcome Trust 083270/Z/07/Z
6 · The paper itself

Abstract

Circulating metabolites associated with insulin sensitivity may represent useful biomarkers, but their causal role in insulin sensitivity and diabetes is less certain. We previously identified novel metabolites correlated with insulin sensitivity measured by the hyperinsulinemic-euglycemic clamp. The top-ranking metabolites were in the glutathione and glycine biosynthesis pathways. We aimed to identify common genetic variants associated with metabolites in these pathways and test their role in insulin sensitivity and type 2 diabetes. With 1,004 nondiabetic individuals from the RISC study, we performed a genome-wide association study (GWAS) of 14 insulin sensitivity-related metabolites and one metabolite ratio. We replicated our results in the Botnia study (n = 342). We assessed the association of these variants with diabetes-related traits in GWAS meta-analyses (GENESIS [including RISC, EUGENE2, and Stanford], MAGIC, and DIAGRAM). We identified four associations with three metabolites-glycine (rs715 at CPS1), serine (rs478093 at PHGDH), and betaine (rs499368 at SLC6A12; rs17823642 at BHMT)-and one association signal with glycine-to-serine ratio (rs1107366 at ALDH1L1). There was no robust evidence for association between these variants and insulin resistance or diabetes. Genetic variants associated with genes in the glycine biosynthesis pathways do not provide consistent evidence for a role of glycine in diabetes-related traits.

Indexed as

AdultBetaineDiabetes Mellitus, Type 2FemaleGlycineHumansInsulin ResistanceMaleMiddle AgedSerineBetaineGlycineSerine

Identifiers

PMID23378610
PMCPMC3661655
OpenAlexW2146510798

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.