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Albert Hofman

Researcher at Harvard University

Publications -  2545
Citations -  359559

Albert Hofman is an academic researcher from Harvard University. The author has contributed to research in topics: Population & Rotterdam Study. The author has an hindex of 267, co-authored 2530 publications receiving 321405 citations. Previous affiliations of Albert Hofman include Delft University of Technology & Erasmus University Rotterdam.

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Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

Leandra Abarca-Gómez, +1024 more
- 16 Dec 2017 - 
TL;DR: Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls, and by contrast, the rise in BMI has accelerated in east and south Asia forboth sexes, and southeast Asia for boys.
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Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants

Mariachiara Di Cesare, +741 more
- 02 Apr 2016 - 
TL;DR: The posterior probability of meeting the target of halting by 2025 the rise in obesity at its 2010 levels, if post-2000 trends continue, is calculated.
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Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease

Jean-Charles Lambert, +215 more
- 01 Dec 2013 - 
TL;DR: In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 × 10−8) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer's disease.
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Biological, clinical and population relevance of 95 loci for blood lipids

Tanya M. Teslovich, +218 more
- 05 Aug 2010 - 
TL;DR: The results identify several novel loci associated with plasma lipids that are also associated with CAD and provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.