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Institution

Uppsala University

EducationUppsala, Sweden
About: Uppsala University is a education organization based out in Uppsala, Sweden. It is known for research contribution in the topics: Population & Insulin. The organization has 36485 authors who have published 107509 publications receiving 4220668 citations. The organization is also known as: Uppsala universitet & uu.se.
Topics: Population, Insulin, Thin film, Poison control, Gene


Papers
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Journal ArticleDOI
Robert A. Scott1, Laura J. Scott2, Reedik Mägi3, Letizia Marullo4  +213 moreInstitutions (66)
01 Nov 2017-Diabetes
TL;DR: This article conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel.
Abstract: To characterize type 2 diabetes (T2D)-associated variation across the allele frequency spectrum, we conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel Promising association signals were followed up in additional data sets (of 14,545 or 7,397 T2D case and 38,994 or 71,604 control subjects) We identified 13 novel T2D-associated loci (P < 5 × 10-8), including variants near the GLP2R, GIP, and HLA-DQA1 genes Our analysis brought the total number of independent T2D associations to 128 distinct signals at 113 loci Despite substantially increased sample size and more complete coverage of low-frequency variation, all novel associations were driven by common single nucleotide variants Credible sets of potentially causal variants were generally larger than those based on imputation with earlier reference panels, consistent with resolution of causal signals to common risk haplotypes Stratification of T2D-associated loci based on T2D-related quantitative trait associations revealed tissue-specific enrichment of regulatory annotations in pancreatic islet enhancers for loci influencing insulin secretion and in adipocytes, monocytes, and hepatocytes for insulin action-associated loci These findings highlight the predominant role played by common variants of modest effect and the diversity of biological mechanisms influencing T2D pathophysiology

601 citations

Journal ArticleDOI
TL;DR: A programming library, Perl-speaks-NONMEM (PsN), intended for programmers that aim at using the computational capability of NONMEM in external applications.

601 citations

Journal ArticleDOI
Chris T. Amemiya1, Chris T. Amemiya2, Jessica Alföldi3, Alison P. Lee4, Shaohua Fan5, Hervé Philippe6, Iain MacCallum3, Ingo Braasch7, Tereza Manousaki5, Igor Schneider8, Nicolas Rohner9, Chris L. Organ10, Domitille Chalopin11, J. Joshua Smith12, Mark Robinson1, Rosemary A. Dorrington13, Marco Gerdol14, Bronwen Aken15, Maria Assunta Biscotti16, Marco Barucca16, Denis Baurain17, Aaron M. Berlin3, Gregory L. Blatch18, Gregory L. Blatch13, Francesco Buonocore, Thorsten Burmester19, Michael S. Campbell10, Adriana Canapa16, John P. Cannon20, Alan Christoffels21, Gianluca De Moro14, Adrienne L. Edkins13, Lin Fan3, Anna Maria Fausto, Nathalie Feiner5, Mariko Forconi16, Junaid Gamieldien21, Sante Gnerre3, Andreas Gnirke3, Jared V. Goldstone22, Wilfried Haerty23, Mark E. Hahn22, Uljana Hesse21, Steve Hoffmann24, Jeremy Johnson3, Sibel I. Karchner22, Shigehiro Kuraku5, Marcia Lara3, Joshua Z. Levin3, Gary W. Litman20, Evan Mauceli9, Evan Mauceli3, Tsutomu Miyake25, M. Gail Mueller26, David R. Nelson27, Anne Nitsche24, Ettore Olmo16, Tatsuya Ota28, Alberto Pallavicini14, Sumir Panji21, Barbara Picone21, Chris P. Ponting23, Sonja J. Prohaska24, Dariusz Przybylski3, Nil Ratan Saha1, Vydianathan Ravi4, Filipe J. Ribeiro3, Tatjana Sauka-Spengler23, Giuseppe Scapigliati, Stephen M. J. Searle15, Ted Sharpe3, Oleg Simakov5, Peter F. Stadler24, John J. Stegeman22, Kenta Sumiyama29, Diana Tabbaa3, Hakim Tafer24, Jason Turner-Maier3, Peter van Heusden21, Simon D. M. White15, Louise Williams3, Mark Yandell10, Henner Brinkmann6, Jean Nicolas Volff11, Clifford J. Tabin9, Neil H. Shubin30, Manfred Schartl31, David B. Jaffe3, John H. Postlethwait7, Byrappa Venkatesh4, Federica Di Palma3, Eric S. Lander3, Axel Meyer5, Kerstin Lindblad-Toh3, Kerstin Lindblad-Toh32 
18 Apr 2013-Nature
TL;DR: Through a phylogenomic analysis, it is concluded that the lungfish, and not the coelacanth, is the closest living relative of tetrapods.
Abstract: The discovery of a living coelacanth specimen in 1938 was remarkable, as this lineage of lobe-finned fish was thought to have become extinct 70 million years ago. The modern coelacanth looks remarkably similar to many of its ancient relatives, and its evolutionary proximity to our own fish ancestors provides a glimpse of the fish that first walked on land. Here we report the genome sequence of the African coelacanth, Latimeria chalumnae. Through a phylogenomic analysis, we conclude that the lungfish, and not the coelacanth, is the closest living relative of tetrapods. Coelacanth protein-coding genes are significantly more slowly evolving than those of tetrapods, unlike other genomic features. Analyses of changes in genes and regulatory elements during the vertebrate adaptation to land highlight genes involved in immunity, nitrogen excretion and the development of fins, tail, ear, eye, brain and olfaction. Functional assays of enhancers involved in the fin-to-limb transition and in the emergence of extra-embryonic tissues show the importance of the coelacanth genome as a blueprint for understanding tetrapod evolution.

601 citations

Journal ArticleDOI
11 Jul 2003-Cell
TL;DR: During the ribosomal translocation, the binding of elongation factor G to the pretranslocational ribosome leads to a ratchet-like rotation of the 30S sub unit relative to the 50S subunit in the direction of the mRNA movement, implying that this region is involved in the translocation of deacylated tRNAs from the P to the E site.

601 citations

Journal ArticleDOI
TL;DR: A new version (4.0) of the Human Protein Atlas has been developed in a genecentric manner with the inclusion of all human genes and splice variants predicted from genome efforts together with a visualization of each protein with characteristics such as predicted membrane regions, signal peptide, and protein domains and new plots showing the uniqueness of every fraction of eachprotein toward all other human proteins.

600 citations


Authors

Showing all 36854 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Lewis C. Cantley196748169037
Darien Wood1602174136596
Kaj Blennow1601845116237
Christopher J. O'Donnell159869126278
Tomas Hökfelt158103395979
Peter G. Schultz15689389716
Frederik Barkhof1541449104982
Deepak L. Bhatt1491973114652
Svante Pääbo14740784489
Jan-Åke Gustafsson147105898804
Hans-Olov Adami14590883473
Hermann Kolanoski145127996152
Kjell Fuxe142147989846
Jan Conrad14182671445
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023240
2022643
20216,079
20205,811
20195,393
20185,067