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Institution

Karolinska Institutet

EducationStockholm, Sweden
About: Karolinska Institutet is a education organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Population & Poison control. The organization has 46212 authors who have published 121142 publications receiving 6008130 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a pre-specifi ed meta-analysis of individual patient data from 6756 patients in nine randomised trials comparing alteplase with placebo or open control was conducted.

1,773 citations

Journal ArticleDOI
Hana Lango Allen1, Karol Estrada2, Guillaume Lettre3, Sonja I. Berndt4  +341 moreInstitutions (90)
14 Oct 2010-Nature
TL;DR: It is shown that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait, and indicates that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.
Abstract: Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

1,768 citations

Journal ArticleDOI
01 Jul 2016-Science
TL;DR: By positioning histological sections on arrayed reverse transcription primers with unique positional barcodes, this work demonstrates high-quality RNA-sequencing data with maintained two-dimensional positional information from the mouse brain and human breast cancer.
Abstract: Analysis of the pattern of proteins or messengerRNAs (mRNAs) in histological tissue sections is a cornerstone in biomedical research and diagnostics. This typically involves the visualization of a few proteins or expressed genes at a time. We have devised a strategy, which we call “spatial transcriptomics,” that allows visualization and quantitative analysis of the transcriptome with spatial resolution in individual tissue sections. By positioning histological sections on arrayed reverse transcription primers with unique positional barcodes, we demonstrate high-quality RNA-sequencing data with maintained two-dimensional positional information from the mouse brain and human breast cancer. Spatial transcriptomics provides quantitative gene expression data and visualization of the distribution of mRNAs within tissue sections and enables novel types of bioinformatics analyses, valuable in research and diagnostics.

1,741 citations

Journal ArticleDOI
TL;DR: Analysis of the kinetics of the cytotoxic assay revealed a rapid induction of lysis within one to four hours, arguing against any conventional in vitro induction of immune response.
Abstract: In the spleens of young, adult mice there exist naturally occurring killer lymphocytes with specificity for mouse Moloney leukemia cells. The lytic activity was directed against syngeneic or allogeneic Moloney leukemia cells to a similar extent, but was primarily expressed when tested against in vitro grown leukemia cells. Two leukemias of non-Moloney origin were resistant and so was the mastocytoma line P815. Although killer activity varied between different strains of mice, the specificity of lysis was the same as indicated by competition experiments using unlabeled Moloney or other tumor cells as inhibitors in the cytotoxic assays. Capacity to compete and sensitivy to lysis by the killer cells were found to be highly positively correlated. Analysis of the kinetics of the cytotoxic assay revealed a rapid induction of lysis within one to four hours, arguing against any conventional in vitro induction of immune response. No evidence was found of soluble factors playing any role in the cytolytic assay.

1,736 citations


Authors

Showing all 46522 results

NameH-indexPapersCitations
Meir J. Stampfer2771414283776
Albert Hofman2672530321405
Guido Kroemer2361404246571
Eric B. Rimm196988147119
Scott M. Grundy187841231821
Jing Wang1844046202769
Tadamitsu Kishimoto1811067130860
John Hardy1771178171694
Marc G. Caron17367499802
Ramachandran S. Vasan1721100138108
Adrian L. Harris1701084120365
Douglas F. Easton165844113809
Zulfiqar A Bhutta1651231169329
Judah Folkman165499148611
Ralph A. DeFronzo160759132993
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023101
2022500
20217,763
20206,922
20196,057
20185,548