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Träfflista för sökning "WFRF:(Jorgensen Marit E) srt2:(2018)"

Sökning: WFRF:(Jorgensen Marit E) > (2018)

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1.
  • Turcot, Valerie, et al. (författare)
  • Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
  • 2018
  • Ingår i: Nature Genetics. - : Nature Publishing Group. - 1061-4036 .- 1546-1718. ; 50:1, s. 26-41
  • Tidskriftsartikel (refereegranskat)abstract
    • Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are similar to 10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed similar to 7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.
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2.
  • Mahajan, Anubha, et al. (författare)
  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps
  • 2018
  • Ingår i: Nature Genetics. - : NATURE PUBLISHING GROUP. - 1061-4036 .- 1546-1718. ; 50:11, s. 1505-
  • Tidskriftsartikel (refereegranskat)abstract
    • We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we (i) extend the inventory of T2D-risk variants (243 loci,135 newly implicated in T2D predisposition, comprising 403 distinct association signals); (ii) enrich discovery of lower-frequency risk alleles (80 index variants with minor allele frequency <5%,14 with estimated allelic odds ratio >2); (iii) substantially improve fine-mapping of causal variants (at 51 signals, one variant accounted for >80% posterior probability of association (PPA)); (iv) extend fine-mapping through integration of tissue-specific epigenomic information (islet regulatory annotations extend the number of variants with PPA >80% to 73); (v) highlight validated therapeutic targets (18 genes with associations attributable to coding variants); and (vi) demonstrate enhanced potential for clinical translation (genome-wide chip heritability explains 18% of T2D risk; individuals in the extremes of a T2D polygenic risk score differ more than ninefold in prevalence).
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3.
  • Mahajan, Anubha, et al. (författare)
  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
  • 2018
  • Ingår i: Nature Genetics. - : Nature Publishing Group. - 1061-4036 .- 1546-1718. ; 50:4, s. 559-571
  • Tidskriftsartikel (refereegranskat)abstract
    • We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10−7); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent ‘false leads’ with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.
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4.
  • Persson, Frederik, et al. (författare)
  • Dapagliflozin is associated with lower risk of cardiovascular events and all-cause mortality in people with type 2 diabetes (CVD-REAL Nordic) when compared with dipeptidyl peptidase-4 inhibitor therapy : A multinational observational study
  • 2018
  • Ingår i: Diabetes, obesity and metabolism. - : Wiley. - 1462-8902 .- 1463-1326. ; 20:2, s. 344-351
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims To compare the sodium-glucose-cotransporter-2 (SGLT-2) inhibitor dapagliflozin with dipeptidyl peptidase-4 (DPP-4) inhibitors with regard to risk associations with major adverse cardiovascular (CV) events (MACE; non-fatal myocardial infarction, non-fatal stroke or cardiovascular mortality), hospitalization for heart failure (HHF), atrial fibrillation and severe hypoglycaemia in patients with type 2 diabetes (T2D) in a real-world setting.Methods All patients with T2D prescribed glucose-lowering drugs (GLDs) during 2012 to 2015 were identified in nationwide registries in Denmark, Norway and Sweden. Patients were divided into two groups: new users of dapagliflozin and new users of DPP-4 inhibitors, matched 1:3 by propensity score, calculated by patient characteristics, comorbidities and drug treatment. Cox survival models were used to estimate hazard ratio (HR) per country separately, and a weighted average was calculated.Results After matching, a total of 40908 patients with T2D were identified as new users of dapagliflozin (n=10227) or a DPP-4 inhibitor (n=30681). The groups were well balanced at baseline; their mean age was 61years and 23% had CV disease. The mean follow-up time was 0.95years, with a total of 38760 patient-years. Dapagliflozin was associated with a lower risk of MACE, HHF and all-cause mortality compared with DPP-4 inhibitors: HRs 0.79 (95% confidence interval [CI] 0.67-0.94), 0.62 (95% CI 0.50-0.77), and 0.59 (95% CI 0.49-0.72), respectively. Numerically lower, but non-significant HRs were observed for myocardial infarction (0.91 [95% CI 0.72-1.16]), stroke (0.79 [95% CI 0.61-1.03]) and CV mortality (0.76 [95% CI 0.53-1.08]) Neutral associations with atrial fibrillation and severe hypoglycaemia were observed.Conclusions Dapagliflozin was associated with lower risks of CV events and all-cause mortality compared with DPP-4 inhibitors in a real-world clinical setting and a broad T2D population.
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