L
Lennart Råstam
Researcher at Lund University
Publications - 186
Citations - 11674
Lennart Råstam is an academic researcher from Lund University. The author has contributed to research in topics: Population & Type 2 diabetes. The author has an hindex of 47, co-authored 184 publications receiving 10938 citations. Previous affiliations of Lennart Råstam include Royal Veterinary College & Malmö University.
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Journal ArticleDOI
Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels
Richa Saxena,Benjamin F. Voight,Valeriya Lyssenko,Noël P. Burtt,Paul I.W. de Bakker,Hong Chen,Jeffrey J. Roix,Sekar Kathiresan,Joel N. Hirschhorn,Mark J. Daly,Thomas E. Hughes,Leif Groop,David Altshuler,Peter Almgren,Jose C. Florez,Joanne M. Meyer,Kristin Ardlie,Kristina Bengtsson Boström,Bo Isomaa,Guillaume Lettre,Ulf Lindblad,Helen N. Lyon,Olle Melander,Christopher Newton-Cheh,Peter Nilsson,Marju Orho-Melander,Lennart Råstam,Elizabeth K. Speliotes,Marja-Riitta Taskinen,Tiinamaija Tuomi,Candace Guiducci,Anna Berglund,Joyce Carlson,Lauren Gianniny,Rachel Hackett,Liselotte Hall,Johan Holmkvist,Esa Laurila,Marketa Sjögren,Maria Sterner,Aarti Surti,Margareta Svensson,Malin Svensson,Ryan Tewhey,Brendan Blumenstiel,Melissa Parkin,Matthew DeFelice,Rachel Barry,Wendy Brodeur,Jody Camarata,Nancy Chia,Mary Fava,John G. Gibbons,Bob Handsaker,Claire M. Healy,Kieu Nguyen,Casey Gates,Carrie Sougnez,Diane Gage,Marcia M. Nizzari,Stacey Gabriel,Gung-Wei Chirn,Qicheng Ma,Hemang Parikh,Delwood Richardson,Darrell O. Ricke,Shaun Purcell +66 more
TL;DR: The discovery of associated variants in unsuspected genes and outside coding regions illustrates the ability of genome-wide association studies to provide potentially important clues to the pathogenesis of common diseases.
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A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena
Juan Merlo,Basile Chaix,Henrik Ohlsson,Anders Beckman,Kristina Johnell,Per Hjerpe,Lennart Råstam,Klaus Steenberg Larsen +7 more
TL;DR: Moves of variation in logistic regression should be promoted in social epidemiological and public health research as efficient means of quantifying the importance of the context of residence for understanding disparities in health and health related behaviour.
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A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon
TL;DR: The statistical idea of clustering emerges as appropriate for quantifying “contextual phenomena” that is of central relevance in social epidemiology.
Journal ArticleDOI
The validity of obesity based on self-reported weight and height: Implications for population studies.
TL;DR: Self-reported information on weight and height in an adult population is validated and a useful algorithm to assess the prevalence of obesity based on self‐reported information is found.
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A brief conceptual tutorial on multilevel analysis in social epidemiology: investigating contextual phenomena in different groups of people
TL;DR: In this article, the authors investigated whether there is clustering within neighbourhoods, to which extent neighbourhood level differences are explained by the individual composition of the neighbourhoods, whether the contextual phenomenon differs in magnitude for different groups of people, and whether neighbourhood context modifies individual level associations.