Institution
Lund University
Education•Lund, Sweden•
About: Lund University is a education organization based out in Lund, Sweden. It is known for research contribution in the topics: Population & Cancer. The organization has 42345 authors who have published 124676 publications receiving 5016438 citations. The organization is also known as: Lunds Universitet & University of Lund.
Topics: Population, Cancer, Insulin, Breast cancer, Diabetes mellitus
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors used factorial analysis to find independent measures to describe the dimensions of urban driving patterns and investigate which properties have main effect on emissions and fuel-use, and found that nine of the driving pattern factors had considerable environmental effects.
Abstract: This study is aimed at finding independent measures to describe the dimensions of urban driving patterns and to investigate which properties have main effect on emissions and fuel-use. 62 driving pattern parameters were calculated for each of 19 230 driving patterns collected in real traffic. These included traditional driving pattern parameters of speed and acceleration and new parameters of engine speed and gear-changing behaviour. By using factorial analysis the initial 62 parameters were reduced to 16 independent driving pattern factors. Fuel-use and emission factors were estimated for a subset of 5217 cases using two different mechanistic instantaneous emission models. Regression analysis on the relation between driving pattern factors and fuel-use and emission factors showed that nine of the driving pattern factors had considerable environmental effects. Four of these are associated with different aspects of power demand and acceleration, three describe aspects of gear-changing behaviour and two factors describe the effect of certain speed intervals.
580 citations
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TL;DR: A general computational method is used for designing proteins that self-assemble to a desired symmetric architecture and can be used to design a wide variety of self-assembling protein nanomaterials.
Abstract: We describe a general computational method for designing proteins that self-assemble to a desired symmetric architecture. Protein building blocks are docked together symmetrically to identify complementary packing arrangements, and low-energy protein-protein interfaces are then designed between the building blocks in order to drive self-assembly. We used trimeric protein building blocks to design a 24-subunit, 13-nm diameter complex with octahedral symmetry and a 12-subunit, 11-nm diameter complex with tetrahedral symmetry. The designed proteins assembled to the desired oligomeric states in solution, and the crystal structures of the complexes revealed that the resulting materials closely match the design models. The method can be used to design a wide variety of self-assembling protein nanomaterials.
580 citations
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TL;DR: In this paper, a rapid enzymic method for starch analysis, especially in cereal products, was presented, which includes a 15 min gelatinization step in a boiling water bath in the presence of a thermostable α-amylase, a 30 min amyloglucosidase incubation of a subsample, and subsequent determination of glucose with a glucose oxidase/peroxidase reagent.
Abstract: A rapid enzymic method for starch analysis, especially in cereal products, is presented. One person can analyze 30 samples per day. The method includes a 15 min gelatinization step in a boiling water bath in the presence of a thermostable α-amylase, a 30 min amyloglucosidase incubation of a subsample, and subsequent determination of glucose with a glucose oxidase/peroxidase reagent. The method was evaluated by analysis of the starch content in various raw and industrially processed wheat samples. The method showed high precision (CV=0.6–1.0%) and accuracy. Some factors which might affect the enzymic availability of starch and thus its recovery in the analysis are evaluated and discussed.
580 citations
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Institut national de la recherche agronomique1, Max Planck Society2, University of Antwerp3, University of Bayreuth4, Dresden University of Technology5, École Polytechnique Fédérale de Lausanne6, Finnish Forest Research Institute7, University of Helsinki8, Lund University9, Instituto Superior Técnico10, Centre national de la recherche scientifique11
TL;DR: In this paper, the authors used continuous carbon and water flux measurements at 12 European monitoring sites covering various forest ecosystem types and a large climatic range in order to characterise the consequences of this drought on ecosystems functioning.
580 citations
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University of Pennsylvania1, University College London2, University of Warwick3, University of Bristol4, McMaster University5, Glenfield Hospital6, University of London7, University of Glasgow8, Utrecht University9, University of Amsterdam10, University of Edinburgh11, University of Leeds12, University of North Carolina at Chapel Hill13, Baylor College of Medicine14, University of Vermont15, University of Texas Health Science Center at Houston16, Harvard University17, University of Washington18, University of Minnesota19, Stanford University20, University of Groningen21, Lund University22, University of Ulm23, University of Oxford24, University of Mississippi25, University of Virginia26, Fred Hutchinson Cancer Research Center27
TL;DR: The genetic findings support a causal effect of triglycerides on CHD risk, but a causal role for HDL-C, though possible, remains less certain.
Abstract: AIMS: To investigate the causal role of high-density lipoprotein cholesterol (HDL-C) and triglycerides in coronary heart disease (CHD) using multiple instrumental variables for Mendelian randomization. METHODS AND RESULTS: We developed weighted allele scores based on single nucleotide polymorphisms (SNPs) with established associations with HDL-C, triglycerides, and low-density lipoprotein cholesterol (LDL-C). For each trait, we constructed two scores. The first was unrestricted, including all independent SNPs associated with the lipid trait identified from a prior meta-analysis (threshold P < 2 × 10(-6)); and the second a restricted score, filtered to remove any SNPs also associated with either of the other two lipid traits at P ≤ 0.01. Mendelian randomization meta-analyses were conducted in 17 studies including 62,199 participants and 12,099 CHD events. Both the unrestricted and restricted allele scores for LDL-C (42 and 19 SNPs, respectively) associated with CHD. For HDL-C, the unrestricted allele score (48 SNPs) was associated with CHD (OR: 0.53; 95% CI: 0.40, 0.70), per 1 mmol/L higher HDL-C, but neither the restricted allele score (19 SNPs; OR: 0.91; 95% CI: 0.42, 1.98) nor the unrestricted HDL-C allele score adjusted for triglycerides, LDL-C, or statin use (OR: 0.81; 95% CI: 0.44, 1.46) showed a robust association. For triglycerides, the unrestricted allele score (67 SNPs) and the restricted allele score (27 SNPs) were both associated with CHD (OR: 1.62; 95% CI: 1.24, 2.11 and 1.61; 95% CI: 1.00, 2.59, respectively) per 1-log unit increment. However, the unrestricted triglyceride score adjusted for HDL-C, LDL-C, and statin use gave an OR for CHD of 1.01 (95% CI: 0.59, 1.75). CONCLUSION: The genetic findings support a causal effect of triglycerides on CHD risk, but a causal role for HDL-C, though possible, remains less certain.
579 citations
Authors
Showing all 42777 results
Name | H-index | Papers | Citations |
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Yi Chen | 217 | 4342 | 293080 |
Fred H. Gage | 216 | 967 | 185732 |
Kari Stefansson | 206 | 794 | 174819 |
Mark I. McCarthy | 200 | 1028 | 187898 |
Ruedi Aebersold | 182 | 879 | 141881 |
Jie Zhang | 178 | 4857 | 221720 |
Feng Zhang | 172 | 1278 | 181865 |
Martin G. Larson | 171 | 620 | 117708 |
Michael Snyder | 169 | 840 | 130225 |
Unnur Thorsteinsdottir | 167 | 444 | 121009 |
Anders Björklund | 165 | 769 | 84268 |
Carl W. Cotman | 165 | 809 | 105323 |
Dennis R. Burton | 164 | 683 | 90959 |
Jaakko Kaprio | 163 | 1532 | 126320 |
Panos Deloukas | 162 | 410 | 154018 |