Evidence map›Paper›PMID 24306210›Full record

ArticleDiabetes2014

Expression of phosphofructokinase in skeletal muscle is influenced by genetic variation and associated with insulin sensitivity.

Sarah Keildson, Joao Fadista, Claes Ladenvall, Åsa K Hedman, Targ Elgzyri, Kerrin S Small, Elin Grundberg, Alexandra C Nica, Daniel Glass, J Brent Richards and 19 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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  7. Comprehensive Analysis of Long Noncoding RNA Modified by mInternational journal of molecular sciences · 2022
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  11. BioMed research international · 2020
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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

29 authors at 10 institutions in 5 countries.

Sarah KeildsonWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K.
Joao Fadista
Claes Ladenvall
Åsa K Hedman
Targ Elgzyri
Kerrin S Small
Elin Grundberg
Alexandra C Nica
Daniel Glass
J Brent Richards
Amy Barrett
James Nisbet
Hou-Feng Zheng
Tina Rönn
Kristoffer Ström
Karl-Fredrik Eriksson
Inga Prokopenko
MAGIC Consortium
DIAGRAM Consortium
MuTHER Consortium
Timothy D Spector
Emmanouil T Dermitzakis
Panos Deloukas
Mark I McCarthy
Johan Rung
Leif Groop
Paul W Franks
Cecilia M Lindgren
Ola Hansson
Lund University · SESkåne University Hospital · SEWellcome Sanger Institute · GBUniversity of Oxford · GBKing's College London · GBMcGill University · CAUniversity of Geneva · CHBroad Institute · USCentre for Human Genetics · GBMid Sweden University · SE

Funding

Wellcome TrustWellcome Trust 081917/Z/07/ZWellcome Trust 086596/Z/08/ZWellcome Trust 090532
6 · The paper itself

Abstract

Using an integrative approach in which genetic variation, gene expression, and clinical phenotypes are assessed in relevant tissues may help functionally characterize the contribution of genetics to disease susceptibility. We sought to identify genetic variation influencing skeletal muscle gene expression (expression quantitative trait loci [eQTLs]) as well as expression associated with measures of insulin sensitivity. We investigated associations of 3,799,401 genetic variants in expression of >7,000 genes from three cohorts (n = 104). We identified 287 genes with cis-acting eQTLs (false discovery rate [FDR] <5%; P < 1.96 × 10(-5)) and 49 expression-insulin sensitivity phenotype associations (i.e., fasting insulin, homeostasis model assessment-insulin resistance, and BMI) (FDR <5%; P = 1.34 × 10(-4)). One of these associations, fasting insulin/phosphofructokinase (PFKM), overlaps with an eQTL. Furthermore, the expression of PFKM, a rate-limiting enzyme in glycolysis, was nominally associated with glucose uptake in skeletal muscle (P = 0.026; n = 42) and overexpressed (Bonferroni-corrected P = 0.03) in skeletal muscle of patients with T2D (n = 102) compared with normoglycemic controls (n = 87). The PFKM eQTL (rs4547172; P = 7.69 × 10(-6)) was nominally associated with glucose uptake, glucose oxidation rate, intramuscular triglyceride content, and metabolic flexibility (P = 0.016-0.048; n = 178). We explored eQTL results using published data from genome-wide association studies (DIAGRAM and MAGIC), and a proxy for the PFKM eQTL (rs11168327; r(2) = 0.75) was nominally associated with T2D (DIAGRAM P = 2.7 × 10(-3)). Taken together, our analysis highlights PFKM as a potential regulator of skeletal muscle insulin sensitivity.

Indexed as

Insulin ResistanceAdultAgedAged, 80 and overAminopeptidasesCation Transport ProteinsDiabetes Mellitus, Type 2FemaleGenetic VariationGenome-Wide Association StudyHumansMaleMiddle AgedMuscle, SkeletalPhosphofructokinase-1, Muscle TypePolymorphism, Single NucleotideAminopeptidasesCation Transport ProteinsERAP2 protein, humanPhosphofructokinase-1, Muscle TypeSLC30A8 protein, humanZinc Transporter 8

Identifiers

PMID24306210
PMCPMC3931395
OpenAlexW2161991233

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.