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Institution

University of Amsterdam

EducationAmsterdam, Noord-Holland, Netherlands
About: University of Amsterdam is a education organization based out in Amsterdam, Noord-Holland, Netherlands. It is known for research contribution in the topics: Population & Context (language use). The organization has 59309 authors who have published 140894 publications receiving 5984137 citations. The organization is also known as: UvA & Universiteit van Amsterdam.


Papers
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Journal ArticleDOI
TL;DR: It is shown that the first approach can lead to PCR efficiencies that vary over a 0.2 range, whereas the second approach may be off by 0.26, and proposed linear regression on the Log(fluorescence) per cycle number data as an assumption-free method to calculate starting concentrations of mRNAs and PCRefficiencies for each sample.

3,536 citations

Journal ArticleDOI
TL;DR: This paper presents a polynomial-time algorithm to solve the following problem: given a non-zeroPolynomial fe Q(X) in one variable with rational coefficients, find the decomposition of f into irreducible factors in Q (X).
Abstract: In this paper we present a polynomial-time algorithm to solve the following problem: given a non-zero polynomial fe Q(X) in one variable with rational coefficients, find the decomposition of f into irreducible factors in Q(X). It is well known that this is equivalent to factoring primitive polynomials feZ(X) into irreducible factors in Z(X). Here we call f~ Z(X) primitive if the greatest common divisor of its coefficients (the content of f) is 1. Our algorithm performs well in practice, cf. (8). Its running time, measured in bit operations, is O(nl2+n9(log(fD3).

3,513 citations

Journal ArticleDOI
05 Aug 2010-Nature
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.
Abstract: Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in >100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P < 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.

3,469 citations

Journal ArticleDOI
TL;DR: In this article, an evidence-based quality assessment tool called QUADAS was proposed to assess the quality of primary studies of diagnostic accuracy, based on the results of three previously conducted reviews of the diagnostic literature.
Abstract: Background: In the era of evidence based medicine, with systematic reviews as its cornerstone, adequate quality assessment tools should be available. There is currently a lack of a systematically developed and evaluated tool for the assessment of diagnostic accuracy studies. The aim of this project was to combine empirical evidence and expert opinion in a formal consensus method to develop a tool to be used in systematic reviews to assess the quality of primary studies of diagnostic accuracy. Methods: We conducted a Delphi procedure to develop the quality assessment tool by refining an initial list of items. Members of the Delphi panel were experts in the area of diagnostic research. The results of three previously conducted reviews of the diagnostic literature were used to generate a list of potential items for inclusion in the tool and to provide an evidence base upon which to develop the tool. Results: A total of nine experts in the field of diagnostics took part in the Delphi procedure. The Delphi procedure consisted of four rounds, after which agreement was reached on the items to be included in the tool which we have called QUADAS. The initial list of 28 items was reduced to fourteen items in the final tool. Items included covered patient spectrum, reference standard, disease progression bias, verification bias, review bias, clinical review bias, incorporation bias, test execution, study withdrawals, and indeterminate results. The QUADAS tool is presented together with guidelines for scoring each of the items included in the tool. Conclusions: This project has produced an evidence based quality assessment tool to be used in systematic reviews of diagnostic accuracy studies. Further work to determine the usability and validity of the tool continues.

3,468 citations

Journal ArticleDOI
TL;DR: The specificity of various NF-κB proteins, their role in inflammatory disease, the regulation of NF-β proteins and IκB activity by IκBs and IkkB kinase, and the development of therapeutic strategies aimed at inhibition are discussed.
Abstract: Activation of the NF-κB/Rel transcription family, by nuclear translocation of cytoplasmic complexes, plays a central role in inflammation through its ability to induce transcription of proinflammatory genes (1). This pathway is activated upon appropriate cellular stimulation, most often by signals related to pathogens or stress. Here we will discuss the specificity of various NF-κB proteins, their role in inflammatory disease, the regulation of NF-κB activity by IκB proteins and IκB kinase (IKK), and the development of therapeutic strategies aimed at inhibition of NF-κB.

3,449 citations


Authors

Showing all 59759 results

NameH-indexPapersCitations
Richard A. Flavell2311328205119
Scott M. Grundy187841231821
Stuart H. Orkin186715112182
Kenneth C. Anderson1781138126072
David A. Weitz1781038114182
Dorret I. Boomsma1761507136353
Brenda W.J.H. Penninx1701139119082
Michael Kramer1671713127224
Nicholas J. White1611352104539
Lex M. Bouter158767103034
Wolfgang Wagner1562342123391
Jerome I. Rotter1561071116296
David Cella1561258106402
David Eisenberg156697112460
Naveed Sattar1551326116368
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023198
2022699
20219,646
20208,532
20197,821
20186,407