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Institution

University of Cambridge

EducationCambridge, United Kingdom
About: University of Cambridge is a education organization based out in Cambridge, United Kingdom. It is known for research contribution in the topics: Population & Galaxy. The organization has 118293 authors who have published 282289 publications receiving 14497093 citations. The organization is also known as: Cambridge University & Cambridge.


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Journal ArticleDOI
Benjamin F. Voight1, Benjamin F. Voight2, Benjamin F. Voight3, Gina M. Peloso4, Gina M. Peloso5, Marju Orho-Melander6, Ruth Frikke-Schmidt7, Maja Barbalić8, Majken K. Jensen3, George Hindy6, Hilma Holm9, Eric L. Ding3, Toby Johnson10, Heribert Schunkert11, Nilesh J. Samani12, Nilesh J. Samani13, Robert Clarke14, Jemma C. Hopewell14, John F. Thompson13, Mingyao Li2, Gudmar Thorleifsson9, Christopher Newton-Cheh, Kiran Musunuru1, Kiran Musunuru3, James P. Pirruccello1, James P. Pirruccello3, Danish Saleheen15, Li Chen16, Alexandre F.R. Stewart16, Arne Schillert11, Unnur Thorsteinsdottir9, Unnur Thorsteinsdottir17, Gudmundur Thorgeirsson17, Sonia S. Anand18, James C. Engert19, Thomas M. Morgan20, John A. Spertus21, Monika Stoll22, Klaus Berger22, Nicola Martinelli23, Domenico Girelli23, Pascal P. McKeown24, Christopher Patterson24, Stephen E. Epstein25, Joseph M. Devaney25, Mary Susan Burnett25, Vincent Mooser26, Samuli Ripatti27, Ida Surakka27, Markku S. Nieminen27, Juha Sinisalo27, Marja-Liisa Lokki27, Markus Perola4, Aki S. Havulinna4, Ulf de Faire28, Bruna Gigante28, Erik Ingelsson28, Tanja Zeller29, Philipp S. Wild29, Paul I.W. de Bakker, Olaf H. Klungel30, Anke-Hilse Maitland-van der Zee30, Bas J M Peters30, Anthonius de Boer30, Diederick E. Grobbee30, Pieter Willem Kamphuisen31, Vera H.M. Deneer, Clara C. Elbers30, N. Charlotte Onland-Moret30, Marten H. Hofker31, Cisca Wijmenga31, W. M. Monique Verschuren, Jolanda M. A. Boer, Yvonne T. van der Schouw30, Asif Rasheed, Philippe M. Frossard, Serkalem Demissie4, Serkalem Demissie5, Cristen J. Willer32, Ron Do3, Jose M. Ordovas33, Jose M. Ordovas34, Gonçalo R. Abecasis32, Michael Boehnke32, Karen L. Mohlke35, Mark J. Daly3, Mark J. Daly1, Candace Guiducci1, Noël P. Burtt1, Aarti Surti1, Elena Gonzalez1, Shaun Purcell1, Shaun Purcell3, Stacey Gabriel1, Jaume Marrugat, John F. Peden14, Jeanette Erdmann11, Patrick Diemert11, Christina Willenborg11, Inke R. König11, Marcus Fischer36, Christian Hengstenberg36, Andreas Ziegler11, Ian Buysschaert37, Diether Lambrechts37, Frans Van de Werf37, Keith A.A. Fox38, Nour Eddine El Mokhtari39, Diana Rubin, Jürgen Schrezenmeir, Stefan Schreiber39, Arne Schäfer39, John Danesh15, Stefan Blankenberg29, Robert Roberts16, Ruth McPherson16, Hugh Watkins14, Alistair S. Hall40, Kim Overvad41, Eric B. Rimm3, Eric Boerwinkle8, Anne Tybjærg-Hansen7, L. Adrienne Cupples5, L. Adrienne Cupples4, Muredach P. Reilly2, Olle Melander6, Pier Mannuccio Mannucci42, Diego Ardissino, David S. Siscovick43, Roberto Elosua, Kari Stefansson9, Kari Stefansson17, Christopher J. O'Donnell4, Christopher J. O'Donnell3, Veikko Salomaa4, Daniel J. Rader2, Leena Peltonen27, Leena Peltonen44, Stephen M. Schwartz43, David Altshuler, Sekar Kathiresan 
11 Aug 2012
TL;DR: In this paper, a Mendelian randomisation analysis was performed to compare the effect of HDL cholesterol, LDL cholesterol, and genetic score on risk of myocardial infarction.
Abstract: Methods We performed two mendelian randomisation analyses. First, we used as an instrument a single nucleotide polymorphism (SNP) in the endothelial lipase gene (LIPG Asn396Ser) and tested this SNP in 20 studies (20 913 myocardial infarction cases, 95 407 controls). Second, we used as an instrument a genetic score consisting of 14 common SNPs that exclusively associate with HDL cholesterol and tested this score in up to 12 482 cases of myocardial infarction and 41 331 controls. As a positive control, we also tested a genetic score of 13 common SNPs exclusively associated with LDL cholesterol. – ¹³) but similar levels of other lipid and non-lipid risk factors for myocardial infarction compared with noncarriers. This diff erence in HDL cholesterol is expected to decrease risk of myocardial infarction by 13% (odds ratio [OR] 0·87, 95% CI 0·84–0·91). However, we noted that the 396Ser allele was not associated with risk of myocardial infarction (OR 0·99, 95% CI 0·88–1·11, p=0·85). From observational epidemiology, an increase of 1 SD in HDL cholesterol was associated with reduced risk of myocardial infarction (OR 0·62, 95% CI 0·58–0·66). However, a 1 SD increase in HDL cholesterol due to genetic score was not associated with risk of myocardial infarction (OR 0·93, 95% CI 0·68–1·26, p=0·63). For LDL cholesterol, the estimate from observational epidemiology (a 1 SD increase in LDL cholesterol associated with OR 1·54, 95% CI 1·45–1·63) was concordant with that from genetic score (OR 2·13, 95% CI 1·69–2·69, p=2×10

1,878 citations

Journal ArticleDOI
26 May 2017-Science
TL;DR: A subcellular map of the human proteome is presented to facilitate functional exploration of individual proteins and their role in human biology and disease and integrated into existing network models of protein-protein interactions for increased accuracy.
Abstract: Resolving the spatial distribution of the human proteome at a subcellular level can greatly increase our understanding of human biology and disease. Here we present a comprehensive image-based map ...

1,878 citations

Journal ArticleDOI
25 Jan 2010-ACS Nano
TL;DR: The optoelectronic properties of graphene are exploited to realize an ultrafast laser and pave the way to graphene-based photonics.
Abstract: Graphene is at the center of a significant research effort Near-ballistic transport at room temperature and high mobility make it a potential material for nanoelectronics Its electronic and mechanical properties are also ideal for micro- and nanomechanical systems, thin-film transistors, and transparent and conductive composites and electrodes Here we exploit the optoelectronic properties of graphene to realize an ultrafast laser A graphene-polymer composite is fabricated using wet-chemistry techniques Pauli blocking following intense illumination results in saturable absorption, independent of wavelength This is used to passively mode-lock an erbium-doped fiber laser working at 1559 nm, with a 524 nm spectral bandwidth and approximately 460 fs pulse duration, paving the way to graphene-based photonics

1,878 citations

Journal ArticleDOI
TL;DR: In white adults, overweight and obesity (and possibly underweight) are associated with increased all-cause mortality and the hazard ratios for the men were similar.
Abstract: BACKGROUND A high body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) is associated with increased mortality from cardiovascular disease and certain cancers, but the precise relationship between BMI and all-cause mortality remains uncertain. METHODS We used Cox regression to estimate hazard ratios and 95% confidence intervals for an association between BMI and all-cause mortality, adjusting for age, study, physical activity, alcohol consumption, education, and marital status in pooled data from 19 prospective studies encompassing 1.46 million white adults, 19 to 84 years of age (median, 58). RESULTS The median baseline BMI was 26.2. During a median follow-up period of 10 years (range, 5 to 28), 160,087 deaths were identified. Among healthy participants who never smoked, there was a J-shaped relationship between BMI and all-cause mortality. With a BMI of 22.5 to 24.9 as the reference category, hazard ratios among women were 1.47 (95 percent confidence interval [CI], 1.33 to 1.62) for a BMI of 15.0 to 18.4; 1.14 (95% CI, 1.07 to 1.22) for a BMI of 18.5 to 19.9; 1.00 (95% CI, 0.96 to 1.04) for a BMI of 20.0 to 22.4; 1.13 (95% CI, 1.09 to 1.17) for a BMI of 25.0 to 29.9; 1.44 (95% CI, 1.38 to 1.50) for a BMI of 30.0 to 34.9; 1.88 (95% CI, 1.77 to 2.00) for a BMI of 35.0 to 39.9; and 2.51 (95% CI, 2.30 to 2.73) for a BMI of 40.0 to 49.9. In general, the hazard ratios for the men were similar. Hazard ratios for a BMI below 20.0 were attenuated with longer-term follow-up. CONCLUSIONS In white adults, overweight and obesity (and possibly underweight) are associated with increased all-cause mortality. All-cause mortality is generally lowest with a BMI of 20.0 to 24.9.

1,874 citations

Journal ArticleDOI
Andrew R. Wood1, Tõnu Esko2, Jian Yang3, Sailaja Vedantam4  +441 moreInstitutions (132)
TL;DR: This article identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height, and all common variants together captured 60% of heritability.
Abstract: Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

1,872 citations


Authors

Showing all 119522 results

NameH-indexPapersCitations
Albert Hofman2672530321405
Zhong Lin Wang2452529259003
Solomon H. Snyder2321222200444
Trevor W. Robbins2311137164437
George Davey Smith2242540248373
Nicholas J. Wareham2121657204896
Cyrus Cooper2041869206782
Eric B. Rimm196988147119
Martin White1962038232387
Simon D. M. White189795231645
Michael Rutter188676151592
George Efstathiou187637156228
Mark Hallett1861170123741
David H. Weinberg183700171424
Paul G. Richardson1831533155912
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023466
20222,049
202115,692
202015,352
201913,664
201812,549