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Institution

Lund University

EducationLund, 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.


Papers
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Journal ArticleDOI
Majid Nikpay1, Anuj Goel2, Won H-H.3, Leanne M. Hall4  +164 moreInstitutions (60)
TL;DR: This article conducted a meta-analysis of coronary artery disease (CAD) cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 millions low-frequency (0.005 < MAF < 0.5) variants.
Abstract: Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association study (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of ∼185,000 CAD cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 million low-frequency (0.005 < MAF < 0.05) variants. In addition to confirming most known CAD-associated loci, we identified ten new loci (eight additive and two recessive) that contain candidate causal genes newly implicating biological processes in vessel walls. We observed intralocus allelic heterogeneity but little evidence of low-frequency variants with larger effects and no evidence of synthetic association. Our analysis provides a comprehensive survey of the fine genetic architecture of CAD, showing that genetic susceptibility to this common disease is largely determined by common SNPs of small effect size.

1,839 citations

Journal ArticleDOI
Lennart Lindegren1, Jose M Hernandez2, Alex Bombrun, Sergei A. Klioner3, Ulrich Bastian4, M. Ramos-Lerate, A. de Torres, H. Steidelmüller3, C.A. Stephenson5, David Hobbs1, U. Lammers2, M. Biermann4, R. Geyer3, Thomas Hilger3, Daniel Michalik1, U. Stampa4, Paul J. McMillan1, J. Castañeda6, M. Clotet6, G. Comoretto5, Michael Davidson7, C. Fabricius6, G. Gracia, Nigel Hambly7, A. Hutton, A. Mora, Jordi Portell6, F. van Leeuwen8, U. Abbas, A. Abreu, Martin Altmann4, Martin Altmann9, Alexandre Humberto Andrei, E. Anglada10, L. Balaguer-Núñez6, C. Barache9, Ugo Becciani11, Stefano Bertone9, Stefano Bertone12, Luciana Bianchi, S. Bouquillon9, Geraldine Bourda13, T. Brüsemeister4, Beatrice Bucciarelli, D. Busonero, R. Buzzi, Rossella Cancelliere14, T. Carlucci9, Patrick Charlot13, N. Cheek10, Mariateresa Crosta, C. Crowley, J. H. J. de Bruijne15, F. de Felice16, R. Drimmel, P. Esquej, Agnes Fienga17, E. Fraile, Mario Gai, N. Garralda6, J.J. González-Vidal6, Raphael Guerra2, M. Hauser18, M. Hauser4, Werner Hofmann4, B. Holl19, Stefan Jordan4, Mario G. Lattanzi, H. Lenhardt4, S. Liao20, E. Licata, Tim Lister21, W. Löffler4, Jon Marchant22, J. M. Martín-Fleitas, R. Messineo23, Francois Mignard17, Roberto Morbidelli, E. Poggio14, Alberto Riva, Nicholas Rowell7, E. Salguero, M. Sarasso, Eva Sciacca11, H. I. Siddiqui5, Richard L. Smart, Alessandro Spagna, Iain A. Steele22, F. Taris9, J. Torra6, A. van Elteren24, W. van Reeven, Alberto Vecchiato 
TL;DR: In this article, the authors describe the input data, models, and processing used for the astrometric content of Gaia DR2, and the validation of these results performed within the ASTR task.
Abstract: Context. Gaia Data Release 2 (Gaia DR2) contains results for 1693 million sources in the magnitude range 3 to 21 based on observations collected by the European Space Agency Gaia satellite during the first 22 months of its operational phase.Aims. We describe the input data, models, and processing used for the astrometric content of Gaia DR2, and the validation of these resultsperformed within the astrometry task.Methods. Some 320 billion centroid positions from the pre-processed astrometric CCD observations were used to estimate the five astrometric parameters (positions, parallaxes, and proper motions) for 1332 million sources, and approximate positions at the reference epoch J2015.5 for an additional 361 million mostly faint sources. These data were calculated in two steps. First, the satellite attitude and the astrometric calibration parameters of the CCDs were obtained in an astrometric global iterative solution for 16 million selected sources, using about 1% of the input data. This primary solution was tied to the extragalactic International Celestial Reference System (ICRS) by means of quasars. The resulting attitude and calibration were then used to calculate the astrometric parameters of all the sources. Special validation solutions were used to characterise the random and systematic errors in parallax and proper motion.Results. For the sources with five-parameter astrometric solutions, the median uncertainty in parallax and position at the reference epoch J2015.5 is about 0.04 mas for bright (G = 17 mag, and 0.7 masat G = 20 mag. In the proper motion components the corresponding uncertainties are 0.05, 0.2, and 1.2 mas yr−1 , respectively.The optical reference frame defined by Gaia DR2 is aligned with ICRS and is non-rotating with respect to the quasars to within 0.15 mas yr−1 . From the quasars and validation solutions we estimate that systematics in the parallaxes depending on position, magnitude, and colour are generally below 0.1 mas, but the parallaxes are on the whole too small by about 0.03 mas. Significant spatial correlations of up to 0.04 mas in parallax and 0.07 mas yr−1 in proper motion are seen on small ( DR2 astrometry are given in the appendices.

1,836 citations

Journal ArticleDOI
Georg Ehret1, Georg Ehret2, Georg Ehret3, Patricia B. Munroe4  +388 moreInstitutions (110)
06 Oct 2011-Nature
TL;DR: A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function, and these findings suggest potential novel therapeutic pathways for cardiovascular disease prevention.
Abstract: Blood pressure is a heritable trait(1) influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (>= 140 mm Hg systolic blood pressure or >= 90 mm Hg diastolic blood pressure)(2). Even small increments in blood pressure are associated with an increased risk of cardiovascular events(3). This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.

1,829 citations

Journal ArticleDOI
TL;DR: It is suggested that both general adiposity and abdominal adiposity are associated with the risk of death and support the use of waist circumference or waist-to-hip ratio in addition to BMI in assessing therisk of death.
Abstract: Background Previous studies have relied predominantly on the body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) to assess the association of adiposity with the risk of death, but few have examined whether the distribution of body fat contributes to the prediction of death. Methods We examined the association of BMI, waist circumference, and waist-to-hip ratio with the risk of death among 359,387 participants from nine countries in the European Prospective Investigation into Cancer and Nutrition (EPIC). We used a Cox regression analysis, with age as the time variable, and stratified the models according to study center and age at recruitment, with further adjustment for educational level, smoking status, alcohol consumption, physical activity, and height. Results During a mean follow-up of 9.7 years, 14,723 participants died. The lowest risks of death related to BMI were observed at a BMI of 25.3 for men and 24.3 for women. After adjustment for BMI, waist circumfer...

1,804 citations

Journal ArticleDOI
TL;DR: In this paper, a functional approach to analyzing innovation system dynamics is proposed for policy makers to identify the key policy issues and set policy goals, based on previous literature and their own experience in developing and applying functional thinking.

1,803 citations


Authors

Showing all 42777 results

NameH-indexPapersCitations
Yi Chen2174342293080
Fred H. Gage216967185732
Kari Stefansson206794174819
Mark I. McCarthy2001028187898
Ruedi Aebersold182879141881
Jie Zhang1784857221720
Feng Zhang1721278181865
Martin G. Larson171620117708
Michael Snyder169840130225
Unnur Thorsteinsdottir167444121009
Anders Björklund16576984268
Carl W. Cotman165809105323
Dennis R. Burton16468390959
Jaakko Kaprio1631532126320
Panos Deloukas162410154018
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023246
2022698
20216,295
20206,032
20195,584
20185,249