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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 & Gene. The organization has 36485 authors who have published 107509 publications receiving 4220668 citations. The organization is also known as: Uppsala universitet & uu.se.


Papers
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Journal ArticleDOI
TL;DR: It is suggested that CNV analysis in phenotypically discordant monozygotic twins may provide a powerful tool for identifying disease-predisposition loci and that caution should be exercised when interpreting disease causality of de novo CNVs found in patients based on analysis of a single tissue in routine disease-related DNA diagnostics.
Abstract: The exploration of copy-number variation (CNV), notably of somatic cells, is an understudied aspect of genome biology. Any differences in the genetic makeup between twins derived from the same zygote represent an irrefutable example of somatic mosaicism. We studied 19 pairs of monozygotic twins with either concordant or discordant phenotype by using two platforms for genome-wide CNV analyses and showed that CNVs exist within pairs in both groups. These findings have an impact on our views of genotypic and phenotypic diversity in monozygotic twins and suggest that CNV analysis in phenotypically discordant monozygotic twins may provide a powerful tool for identifying disease-predisposition loci. Our results also imply that caution should be exercised when interpreting disease causality of de novo CNVs found in patients based on analysis of a single tissue in routine disease-related DNA diagnostics.

567 citations

Journal ArticleDOI
TL;DR: The Exoplanet Orbit Database as discussed by the authors is a database of well-determined orbital parameters of exoplanets, and their host stars' properties, which includes spectroscopic orbital elements measured for 427 planets orbiting 363 stars.
Abstract: We present a database of well-determined orbital parameters of exoplanets, and their host stars’ properties. This database comprises spectroscopic orbital elements measured for 427 planets orbiting 363 stars from radial velocity and transit measurements as reported in the literature. We have also compiled fundamental transit parameters, stellar parameters, and the method used for the planets discovery. This Exoplanet Orbit Database includes all planets with robust, well measured orbital parameters reported in peer-reviewed articles. The database is available in a searchable, filterable, and sortable form online through the Exoplanets Data Explorer table, and the data can be plotted and explored through the Exoplanet Data Explorer plotter. We use the Data Explorer to generate publication-ready plots, giving three examples of the signatures of exoplanet migration and dynamical evolution: We illustrate the character of the apparent correlation between mass and period in exoplanet orbits, the different selection biases between radial velocity and transit surveys, and that the multiplanet systems show a distinct semimajor-axis distribution from apparently singleton systems.

567 citations

Journal ArticleDOI
TL;DR: Hypertension emerges as part of a syndrome characterized by major abnormalities of carbohydrate, insulin, and lipid metabolism, which independently or in concert may act as important risk factors for cardiovascular disease.
Abstract: The relationship between abnormalities in carbohydrate metabolism and hypertension was studied in 143 newly detected hypertensive patients (59% obese) of both sexes (90 males, 53 females) and compared with 51 normotensive controls. Insulin-mediated glucose disposal assessed with the euglycemic insulin clamp technique was significantly decreased in both non-obese (7.2 ± 2.1 mg/kg/min; P < .05) and obese hypertensives (5.1 ± 2.1 mg/kg/min; P < .01) compared with the controls (8.4 ± 1.8 mg/kg/min). The decrease in insulin sensitivity and increase in basal insulin as well as a decreased rate of glucose disposal after an intravenous glucose tolerance test (IVGTT) were verified also after statistical adjustment for sex, age, body mass index, and waist-hip ratio. The insulin index (ratio between peak and basal insulin) during IVGTT was significantly decreased in the hypertensive patients (P < .001). After the statistical adjustment for the factors mentioned the following lipid abnormalities were still significant: total cholesterol (6.25 ± 1.12 mmol/L non-obese; 6.06 ± 1.20 mmol/L obese; 5.41 ± 1.02 mmol/L controls), triglycerides (1.70 ± 0.74 mmol/L nonobese; 2.26 ± 1.13 mmol/L obese; 1.24 ± 0.53 mmol/L controls) and free fatty acids (0.57 ± 0.20 mmol/L nonobese; 0.59 ± 0.20 mmol/L obese; 0.48 ± 0.15 mmol/L controls). This study shows that after correction for a series of probable confounding variables, hypertension emerges as part of a syndrome characterized by major abnormalities of carbohydrate, and lipid metabolism, which independently or in concert may act as important risk factors for cardiovascular disease.

565 citations

Journal ArticleDOI
Ayuko Hoshino1, Ayuko Hoshino2, Han Sang Kim3, Han Sang Kim1, Linda Bojmar4, Linda Bojmar5, Linda Bojmar1, Kofi Ennu Gyan1, Michele Cioffi1, Jonathan M. Hernandez1, Jonathan M. Hernandez6, Jonathan M. Hernandez7, Constantinos P. Zambirinis1, Constantinos P. Zambirinis7, Gonçalo Rodrigues1, Gonçalo Rodrigues8, Henrik Molina9, Søren Heissel9, Milica Tesic Mark9, Loïc Steiner10, Loïc Steiner1, Alberto Benito-Martin1, Serena Lucotti1, Angela Di Giannatale1, Katharine Offer1, Miho Nakajima1, Caitlin Williams1, Laura Nogués1, Laura Nogués11, Fanny A. Pelissier Vatter1, Ayako Hashimoto1, Ayako Hashimoto12, Ayako Hashimoto2, Alexander E. Davies13, Daniela Freitas8, Daniela Freitas1, Candia M. Kenific1, Yonathan Ararso1, Weston Buehring1, Pernille Lauritzen1, Yusuke Ogitani1, Kei Sugiura2, Kei Sugiura12, Naoko Takahashi2, Maša Alečković14, Kayleen A. Bailey1, Joshua S. Jolissant7, Joshua S. Jolissant1, Huajuan Wang1, Ashton Harris1, L. Miles Schaeffer1, Guillermo García-Santos15, Guillermo García-Santos1, Zoe Posner1, Vinod P. Balachandran7, Yasmin Khakoo7, G. Praveen Raju16, Avigdor Scherz17, Irit Sagi17, Ruth Scherz-Shouval17, Yosef Yarden17, Moshe Oren17, Mahathi Malladi7, Mary Petriccione7, Kevin C. De Braganca7, Maria Donzelli7, Cheryl Fischer7, Stephanie Vitolano7, Geraldine P. Wright7, Lee Ganshaw7, Mariel Marrano7, Amina Ahmed7, Joe DeStefano7, Enrico Danzer7, Michael H.A. Roehrl7, Norman J. Lacayo18, Theresa C. Vincent4, Theresa C. Vincent19, Martin R. Weiser7, Mary S. Brady7, Paul A. Meyers7, Leonard H. Wexler7, Srikanth R. Ambati7, Alexander J. Chou7, Emily K. Slotkin7, Shakeel Modak7, Stephen S. Roberts7, Ellen M. Basu7, Daniel Diolaiti19, Benjamin A. Krantz7, Benjamin A. Krantz19, Fatima Cardoso20, Amber L. Simpson7, Michael F. Berger7, Charles M. Rudin7, Diane M. Simeone19, Maneesh Jain21, Cyrus M. Ghajar22, Surinder K. Batra21, Ben Z. Stanger23, Jack D. Bui24, Kristy A. Brown1, Vinagolu K. Rajasekhar7, John H. Healey7, Maria de Sousa1, Maria de Sousa8, Kim Kramer7, Sujit Sheth1, Jeanine Baisch1, Virginia Pascual1, Todd E. Heaton7, Michael P. La Quaglia7, David J. Pisapia1, Robert E. Schwartz1, Haiying Zhang1, Yuan Liu7, Arti Shukla25, Laurence Blavier26, Yves A. DeClerck26, Mark A. LaBarge27, Mina J. Bissell28, Thomas C. Caffrey21, Paul M. Grandgenett21, Michael A. Hollingsworth21, Jacqueline Bromberg7, Jacqueline Bromberg1, Bruno Costa-Silva20, Héctor Peinado11, Yibin Kang14, Benjamin A. Garcia23, Eileen M. O'Reilly7, David P. Kelsen7, Tanya M. Trippett7, David R. Jones7, Irina Matei1, William R. Jarnagin7, David Lyden1 
20 Aug 2020-Cell
TL;DR: EVP proteins can serve as reliable biomarkers for cancer detection and determining cancer type, and a panel of tumor-type-specific EVP proteins in TEs and plasma are defined, which can classify tumors of unknown primary origin.

565 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
20216,080
20205,811
20195,393
20185,067