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Institution

University of Oxford

EducationOxford, Oxfordshire, United Kingdom
About: University of Oxford is a education organization based out in Oxford, Oxfordshire, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 99713 authors who have published 258108 publications receiving 12972806 citations. The organization is also known as: Oxford University & Oxon..


Papers
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Journal ArticleDOI
Anubha Mahajan1, Daniel Taliun2, Matthias Thurner1, Neil R. Robertson1, Jason M. Torres1, N. William Rayner3, N. William Rayner1, Anthony Payne1, Valgerdur Steinthorsdottir4, Robert A. Scott5, Niels Grarup6, James P. Cook7, Ellen M. Schmidt2, Matthias Wuttke8, Chloé Sarnowski9, Reedik Mägi10, Jana Nano11, Christian Gieger, Stella Trompet12, Cécile Lecoeur13, Michael Preuss14, Bram P. Prins3, Xiuqing Guo15, Lawrence F. Bielak2, Jennifer E. Below16, Donald W. Bowden17, John C. Chambers, Young-Jin Kim, Maggie C.Y. Ng17, Lauren E. Petty16, Xueling Sim18, Weihua Zhang19, Weihua Zhang20, Amanda J. Bennett1, Jette Bork-Jensen6, Chad M. Brummett2, Mickaël Canouil13, Kai-Uwe Ec Kardt21, Krista Fischer10, Sharon L.R. Kardia2, Florian Kronenberg22, Kristi Läll10, Ching-Ti Liu9, Adam E. Locke23, Jian'an Luan5, Ioanna Ntalla24, Vibe Nylander1, Sebastian Schönherr22, Claudia Schurmann14, Loic Yengo13, Erwin P. Bottinger14, Ivan Brandslund25, Cramer Christensen, George Dedoussis26, Jose C. Florez, Ian Ford27, Oscar H. Franco11, Timothy M. Frayling28, Vilmantas Giedraitis29, Sophie Hackinger3, Andrew T. Hattersley28, Christian Herder30, M. Arfan Ikram11, Martin Ingelsson29, Marit E. Jørgensen25, Marit E. Jørgensen31, Torben Jørgensen6, Torben Jørgensen32, Jennifer Kriebel, Johanna Kuusisto33, Symen Ligthart11, Cecilia M. Lindgren1, Cecilia M. Lindgren34, Allan Linneberg35, Allan Linneberg6, Valeriya Lyssenko36, Valeriya Lyssenko37, Vasiliki Mamakou26, Thomas Meitinger38, Karen L. Mohlke39, Andrew D. Morris40, Andrew D. Morris41, Girish N. Nadkarni14, James S. Pankow42, Annette Peters, Naveed Sattar43, Alena Stančáková33, Konstantin Strauch44, Kent D. Taylor15, Barbara Thorand, Gudmar Thorleifsson4, Unnur Thorsteinsdottir45, Unnur Thorsteinsdottir4, Jaakko Tuomilehto, Daniel R. Witte46, Josée Dupuis9, Patricia A. Peyser2, Eleftheria Zeggini3, Ruth J. F. Loos14, Philippe Froguel20, Philippe Froguel13, Erik Ingelsson47, Erik Ingelsson48, Lars Lind29, Leif Groop36, Leif Groop49, Markku Laakso33, Francis S. Collins50, J. Wouter Jukema12, Colin N. A. Palmer51, Harald Grallert, Andres Metspalu10, Abbas Dehghan20, Abbas Dehghan11, Anna Köttgen8, Gonçalo R. Abecasis2, James B. Meigs52, Jerome I. Rotter15, Jonathan Marchini1, Oluf Pedersen6, Torben Hansen25, Torben Hansen6, Claudia Langenberg5, Nicholas J. Wareham5, Kari Stefansson45, Kari Stefansson4, Anna L. Gloyn1, Andrew P. Morris7, Andrew P. Morris1, Andrew P. Morris10, Michael Boehnke2, Mark I. McCarthy1 
TL;DR: Combining 32 genome-wide association studies with high-density imputation provides a comprehensive view of the genetic contribution to type 2 diabetes in individuals of European ancestry with respect to locus discovery, causal-variant resolution, and mechanistic insight.
Abstract: We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we (i) extend the inventory of T2D-risk variants (243 loci, 135 newly implicated in T2D predisposition, comprising 403 distinct association signals); (ii) enrich discovery of lower-frequency risk alleles (80 index variants with minor allele frequency 2); (iii) substantially improve fine-mapping of causal variants (at 51 signals, one variant accounted for >80% posterior probability of association (PPA)); (iv) extend fine-mapping through integration of tissue-specific epigenomic information (islet regulatory annotations extend the number of variants with PPA >80% to 73); (v) highlight validated therapeutic targets (18 genes with associations attributable to coding variants); and (vi) demonstrate enhanced potential for clinical translation (genome-wide chip heritability explains 18% of T2D risk; individuals in the extremes of a T2D polygenic risk score differ more than ninefold in prevalence).

1,136 citations

Posted Content
TL;DR: This paper presents an efficient solution that explores the visual patterns within individual cropped regions with minimal costs, and builds the framework upon a representative one-stage keypoint-based detector named CornerNet, which improves both precision and recall.
Abstract: In object detection, keypoint-based approaches often suffer a large number of incorrect object bounding boxes, arguably due to the lack of an additional look into the cropped regions. This paper presents an efficient solution which explores the visual patterns within each cropped region with minimal costs. We build our framework upon a representative one-stage keypoint-based detector named CornerNet. Our approach, named CenterNet, detects each object as a triplet, rather than a pair, of keypoints, which improves both precision and recall. Accordingly, we design two customized modules named cascade corner pooling and center pooling, which play the roles of enriching information collected by both top-left and bottom-right corners and providing more recognizable information at the central regions, respectively. On the MS-COCO dataset, CenterNet achieves an AP of 47.0%, which outperforms all existing one-stage detectors by at least 4.9%. Meanwhile, with a faster inference speed, CenterNet demonstrates quite comparable performance to the top-ranked two-stage detectors. Code is available at this https URL.

1,136 citations

Journal ArticleDOI
14 Oct 2005-Science
TL;DR: A high-resolution genetic map of the human genome is presented, based on statistical analyses of genetic variation data, and more than 25,000 recombination hotspots are identified, together with motifs and sequence contexts that play a role in hotspot activity.
Abstract: Genetic maps, which document the way in which recombination rates vary over a genome, are an essential tool for many genetic analyses. We present a high-resolution genetic map of the human genome, based on statistical analyses of genetic variation data, and identify more than 25,000 recombination hotspots, together with motifs and sequence contexts that play a role in hotspot activity. Differences between the behavior of recombination rates over large (megabase) and small (kilobase) scales lead us to suggest a two-stage model for recombination in which hotspots are stochastic features, within a framework in which large-scale rates are constrained.

1,134 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented a map and an angular power spectrum of the anisotropy of the cosmic microwave background (CMB) from the first flight of MAXIMA.
Abstract: We present a map and an angular power spectrum of the anisotropy of the cosmic microwave background (CMB) from the first flight of MAXIMA. MAXIMA is a balloon-borne experiment with an array of 16 bolometric photometers operated at 100 mK. MAXIMA observed a 124 deg region of the sky with 10' resolution at frequencies of 150, 240 and 410 GHz. The data were calibrated using in-flight measurements of the CMB dipole anisotropy. A map of the CMB anisotropy was produced from three 150 and one 240 GHz photometer without need for foreground subtractions. Analysis of this CMB map yields a power spectrum for the CMB anisotropy over the range 36 {le} {ell} {le} 785. The spectrum shows a peak with an amplitude of 78 {+-} 6 {mu}K at {ell} {approx_equal} 220 and an amplitude varying between {approx} 40 {mu}K and {approx} 50 {mu}K for 400 {approx}< {ell} {approx}< 785.

1,134 citations

Journal ArticleDOI
Swapan Mallick1, Swapan Mallick2, Swapan Mallick3, Heng Li1, Mark Lipson2, Iain Mathieson2, Melissa Gymrek, Fernando Racimo4, Mengyao Zhao1, Mengyao Zhao2, Mengyao Zhao3, Niru Chennagiri3, Niru Chennagiri2, Niru Chennagiri1, Susanne Nordenfelt3, Susanne Nordenfelt1, Susanne Nordenfelt2, Arti Tandon2, Arti Tandon1, Pontus Skoglund2, Pontus Skoglund1, Iosif Lazaridis2, Iosif Lazaridis1, Sriram Sankararaman1, Sriram Sankararaman2, Sriram Sankararaman5, Qiaomei Fu6, Qiaomei Fu2, Qiaomei Fu1, Nadin Rohland2, Nadin Rohland1, Gabriel Renaud7, Yaniv Erlich8, Thomas Willems9, Carla Gallo10, Jeffrey P. Spence4, Yun S. Song4, Yun S. Song11, Giovanni Poletti10, Francois Balloux12, George van Driem13, Peter de Knijff14, Irene Gallego Romero15, Aashish R. Jha16, Doron M. Behar17, Claudio M. Bravi18, Cristian Capelli19, Tor Hervig20, Andrés Moreno-Estrada, Olga L. Posukh21, Elena Balanovska, Oleg Balanovsky22, Sena Karachanak-Yankova23, Hovhannes Sahakyan24, Hovhannes Sahakyan17, Draga Toncheva23, Levon Yepiskoposyan24, Chris Tyler-Smith25, Yali Xue25, M. Syafiq Abdullah26, Andres Ruiz-Linares12, Cynthia M. Beall27, Anna Di Rienzo16, Choongwon Jeong16, Elena B. Starikovskaya, Ene Metspalu17, Ene Metspalu28, Jüri Parik17, Richard Villems28, Richard Villems17, Richard Villems29, Brenna M. Henn30, Ugur Hodoglugil31, Robert W. Mahley32, Antti Sajantila33, George Stamatoyannopoulos34, Joseph Wee, Rita Khusainova35, Elza Khusnutdinova35, Sergey Litvinov35, Sergey Litvinov17, George Ayodo36, David Comas37, Michael F. Hammer38, Toomas Kivisild39, Toomas Kivisild17, William Klitz, Cheryl A. Winkler40, Damian Labuda41, Michael J. Bamshad34, Lynn B. Jorde42, Sarah A. Tishkoff11, W. Scott Watkins42, Mait Metspalu17, Stanislav Dryomov, Rem I. Sukernik43, Lalji Singh44, Lalji Singh5, Kumarasamy Thangaraj44, Svante Pääbo7, Janet Kelso7, Nick Patterson1, David Reich1, David Reich3, David Reich2 
13 Oct 2016-Nature
TL;DR: It is demonstrated that indigenous Australians, New Guineans and Andamanese do not derive substantial ancestry from an early dispersal of modern humans; instead, their modern human ancestry is consistent with coming from the same source as that of other non-Africans.
Abstract: Here we report the Simons Genome Diversity Project data set: high quality genomes from 300 individuals from 142 diverse populations. These genomes include at least 5.8 million base pairs that are not present in the human reference genome. Our analysis reveals key features of the landscape of human genome variation, including that the rate of accumulation of mutations has accelerated by about 5% in non-Africans compared to Africans since divergence. We show that the ancestors of some pairs of present-day human populations were substantially separated by 100,000 years ago, well before the archaeologically attested onset of behavioural modernity. We also demonstrate that indigenous Australians, New Guineans and Andamanese do not derive substantial ancestry from an early dispersal of modern humans; instead, their modern human ancestry is consistent with coming from the same source as that of other non-Africans.

1,133 citations


Authors

Showing all 101421 results

NameH-indexPapersCitations
Eric S. Lander301826525976
Albert Hofman2672530321405
Douglas G. Altman2531001680344
Salim Yusuf2311439252912
George Davey Smith2242540248373
Yi Chen2174342293080
David J. Hunter2131836207050
Nicholas J. Wareham2121657204896
Christopher J L Murray209754310329
Cyrus Cooper2041869206782
Mark J. Daly204763304452
David Miller2032573204840
Mark I. McCarthy2001028187898
Raymond J. Dolan196919138540
Frank E. Speizer193636135891
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023654
20222,554
202117,608
202017,299
201915,037
201813,726