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Träfflista för sökning "WFRF:(Andersen Leif P.) srt2:(2005-2009)"

Sökning: WFRF:(Andersen Leif P.) > (2005-2009)

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1.
  • Andersen, J. R., et al. (författare)
  • Small-x phenomenology - Summary of the 3rd Lund small-x workshop in 2004
  • 2006
  • Ingår i: European Physical Journal C. Particles and Fields. - : Springer Science and Business Media LLC. - 1434-6044 .- 1434-6052. ; 48:1, s. 53-105
  • Forskningsöversikt (refereegranskat)abstract
    • A third workshop on small-x physics, within the Small-x Collaboration, was held in Hamburg in May 2004 with the aim of overviewing recent theoretical progress in this area and summarizing the experimental status.
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2.
  • Ling, Charlotte, et al. (författare)
  • Impact of the peroxisome proliferator activated receptor-gamma coactivator-1 beta (PGC-1 beta) Ala203Pro polymorphism on in vivo metabolism, PGC-1 beta expression and fibre type composition in human skeletal muscle
  • 2007
  • Ingår i: Diabetologia. - : Springer Science and Business Media LLC. - 1432-0428 .- 0012-186X. ; 50:8, s. 1615-1620
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims/hypothesis Peroxisome proliferator activated receptor-gamma coactivator-lp (PGC-1 beta, also known as PPARGCIB) expression is reduced in skeletal muscle from patients with type 2 diabetes mellitus and in elderly subjects. Ala203Pro, a common variant in the PGC-1 beta gene is associated with obesity. The aim of this study was to investigate whether the PGC-1 beta Ala203Pro polymorphism influences the age-related decline in skeletal muscle PGC-1 beta expression, in vivo metabolism and markers for muscle fibre type composition. Materials and methods The PGC-1 beta Ala203Pro polymerphism was genotyped in 110 young (age 28.0 +/- 1.9 years) and 86 elderly (age 62.4 +/- 2.0 years) twins and related to muscle PGC-1 beta expression, in vivo metabolism and markers for fibre type composition. Results Insulin-stimulated non-oxidative glucose metabolism (NOGM; p=0.025) and glycolytic flux rate (GF; p=0.026) were reduced in young Ala/Ala carriers compared with carriers of a 203Pro allele. In addition, a regression analysis, correcting for covariates, showed that the PGC-1 beta 203Pro allele was positively related to insulin-stimulated NOGM and GF in the young twins. While muscle expression of PGC-1 beta was reduced in elderly compared with young carriers of the Ala/Ala genotype (p <= 0.001), there was no significant age-related decline in PGC-1 beta expression in carriers of the 203Pro allele (p >= 0.4). However, a regression analysis, correcting for covariates, showed that only age was significantly related to muscle PGC-1 beta expression. Finally, PGC-1 beta expression correlated positively with markers for oxidative fibres in human muscle. Conclusions/interpretation This study suggests that young carriers of a PGC-1 beta 203Pro allele have enhanced insulin-stimulated glucose metabolism and may be protected against an age-related decline in PGC-1 beta expression in muscle.
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3.
  • Zeggini, Eleftheria, et al. (författare)
  • Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes
  • 2008
  • Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 40:5, s. 638-645
  • Tidskriftsartikel (refereegranskat)abstract
    • Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D)(1-11). Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and similar to 2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample with an effective sample size of up to 53,975. We detected at least six previously unknown loci with robust evidence for association, including the JAZF1 (P=5.0 x 10(-14)), CDC123-CAMK1D (P=1.2 x 10(-10)), TSPAN8-LGR5 (P=1.1 x 10(-9)), THADA (P=1.1 x 10(-9)), ADAMTS9 (P=1.2 x 10(-8)) and NOTCH2 (P=4.1 x 10(-8)) gene regions. Our results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D.
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