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Keildson, S.* ; Fadista, J.* ; Ladenvall, C.* ; Hedman, A.K.* ; Elgzyri, T.* ; Small, K.S.* ; Grundberg, E.* ; Nica, A.C.* ; Glass, D.* ; Richards, J.B.* ; Barrett, A.* ; Nisbet, J.* ; Zheng, H.F.* ; Rönn, T.* ; Ström, K.* ; Eriksson, K.F.* ; Prokopenko, I.* ; MAGIC Consortium (Grallert, H. ; Gieger, C. ; Thorand, B. ; Meisinger, C. ; Illig, T. ; Wichmann, H.-E.) ; DIAGRAM Consortium (Huth, C. ; Grallert, H. ; Klopp, N. ; Meitinger, T. ; Petersen, A.-K. ; Thorand, B. ; Wichmann, H.-E. ; Illig, T. ; Gieger, C.) ; MuTHER Consortium (*) ; Spector, T.D.* ; Dermitzakis, E.T.* ; Deloukas, P.* ; McCarthy, M.I.* ; Rung, J.* ; Groop, L.* ; Franks, P.W.* ; Lindgren, C.M.* ; Hansson, O.*

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

Diabetes 63, 1154-1165 (2014)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Using an integrative approach where genetic variation, gene expression and clinical phenotypes are assessed in relevant tissues may help functionally characterize the genetic contribution to disease susceptibility. We sought to identify genetic variation influencing skeletal muscle gene expression (eQTL), as well as expression associated with measures of insulin sensitivity. We investigated associations of 3799401 genetic variants with gene expression from >7000 genes from three cohorts (n=104). We identified 287 genes with cis-acting eQTLs (FDR<5%; P<1.96x10(-5)) and 49 expression-insulin sensitivity phenotype associations (i.e. fasting insulin, HOMA-IR and BMI) (FDR<5%; P=1.34x10(-4)). One of these associations, fasting insulin/phosphofructokinase (PFKM), overlaps with an eQTL. Further, 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 over-expressed (PBF-corrected=0.03) in skeletal muscle in T2D patients (n=102) compared with normoglycemic controls (n=87). The PFKM eQTL (rs4547172; PeQTL=7.69x10(-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 GWAS data (from DIAGRAM and MAGIC) and a proxy for the PFKM eQTL (rs11168327, r2=0.75), was nominally associated with T2D (PDIAGRAM=2.7x10(-3)). Taken together, our analysis highlights PFKM as a potential regulator of skeletal muscle insulin sensitivity.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Polycystic-ovary-syndrome; Fatty-acid-metabolism; Reduced Expression; Glucose-tolerance; Enzyme-activity; Obese Women; In-vivo; Resistance; Transcriptomics; Metaanaly
ISSN (print) / ISBN 0012-1797
e-ISSN 1939-327X
Journal Diabetes
Quellenangaben Volume: 63, Issue: 3, Pages: 1154-1165 Article Number: , Supplement: ,
Publisher American Diabetes Association
Publishing Place Alexandria, VA.
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Genetic Epidemiology (IGE)
CCG Biomarker for the subclassification of T2DM (KKG-KDB)
Institute of Epidemiology II (EPI2)
Research Unit Molecular Epidemiology (AME)
Institute of Epidemiology (EPI)
Institute of Human Genetics (IHG)