scispace - formally typeset
Search or ask a question
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
More filters
Journal ArticleDOI
Liisa M. Pelttari1, Sofia Khan1, Mikko Vuorela2, Johanna I. Kiiski1, Sara Vilske1, Viivi Nevanlinna1, Salla Ranta1, Johanna Schleutker3, Johanna Schleutker4, Johanna Schleutker5, Robert Winqvist2, Anne Kallioniemi3, Thilo Dörk6, Natalia Bogdanova6, Jonine Figueroa, Paul D.P. Pharoah7, Marjanka K. Schmidt8, Alison M. Dunning7, Montserrat Garcia-Closas9, Manjeet K. Bolla7, Joe Dennis7, Kyriaki Michailidou7, Qin Wang7, John L. Hopper10, Melissa C. Southey10, Efraim H. Rosenberg8, Peter A. Fasching11, Peter A. Fasching12, Matthias W. Beckmann11, Julian Peto13, Isabel dos-Santos-Silva13, Elinor J. Sawyer14, Ian Tomlinson15, Barbara Burwinkel16, Barbara Burwinkel17, Harald Surowy17, Harald Surowy16, Pascal Guénel18, Thérèse Truong18, Stig E. Bojesen19, Stig E. Bojesen20, Børge G. Nordestgaard19, Børge G. Nordestgaard20, Javier Benitez, Anna González-Neira, Susan L. Neuhausen21, Hoda Anton-Culver22, Hermann Brenner16, Volker Arndt16, Alfons Meindl23, Rita K. Schmutzler24, Hiltrud Brauch16, Hiltrud Brauch25, Hiltrud Brauch26, Thomas Brüning27, Annika Lindblom28, Sara Margolin28, Arto Mannermaa29, Jaana M. Hartikainen29, Georgia Chenevix-Trench30, kConFab30, kConFab10, Aocs Investigators31, Laurien Van Dyck31, Hilde Janssen16, Hilde Janssen32, Jenny Chang-Claude16, Anja Rudolph, Paolo Radice, Paolo Peterlongo33, Emily Hallberg33, Janet E. Olson10, Janet E. Olson34, Graham G. Giles34, Graham G. Giles10, Roger L. Milne35, Christopher A. Haiman35, Fredrick Schumacher36, Jacques Simard36, Martine Dumont37, Martine Dumont38, Vessela N. Kristensen37, Vessela N. Kristensen38, Anne Lise Børresen-Dale39, Wei Zheng39, Alicia Beeghly-Fadiel40, Mervi Grip41, Mervi Grip42, Irene L. Andrulis42, Gord Glendon43, Peter Devilee44, Caroline Seynaeve44, Maartje J. Hooning45, Margriet Collée46, Angela Cox46, Simon S. Cross7, Mitul Shah7, Robert Luben16, Ute Hamann47, Ute Hamann16, Diana Torres48, Anna Jakubowska48, Jan Lubinski33, Fergus J. Couch, Drakoulis Yannoukakos9, Nick Orr9, Anthony J. Swerdlow28, Hatef Darabi28, Jingmei Li28, Kamila Czene28, Per Hall7, Douglas F. Easton1, Johanna Mattson1, Carl Blomqvist1, Kristiina Aittomäki1, Heli Nevanlinna 
05 May 2016-PLOS ONE
TL;DR: It is suggested that loss-of-function mutations in RAD 51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.
Abstract: Common variation on 14q24.1, close to RAD51B, has been associated with breast cancer: rs999737 and rs2588809 with the risk of female breast cancer and rs1314913 with the risk of male breast cancer. The aim of this study was to investigate the role of RAD51B variants in breast cancer predisposition, particularly in the context of familial breast cancer in Finland. We sequenced the coding region of RAD51B in 168 Finnish breast cancer patients from the Helsinki region for identification of possible recurrent founder mutations. In addition, we studied the known rs999737, rs2588809, and rs1314913 SNPs and RAD51B haplotypes in 44,791 breast cancer cases and 43,583 controls from 40 studies participating in the Breast Cancer Association Consortium (BCAC) that were genotyped on a custom chip (iCOGS). We identified one putatively pathogenic missense mutation c.541C>T among the Finnish cancer patients and subsequently genotyped the mutation in additional breast cancer cases (n = 5259) and population controls (n = 3586) from Finland and Belarus. No significant association with breast cancer risk was seen in the meta-analysis of the Finnish datasets or in the large BCAC dataset. The association with previously identified risk variants rs999737, rs2588809, and rs1314913 was replicated among all breast cancer cases and also among familial cases in the BCAC dataset. The most significant association was observed for the haplotype carrying the risk-alleles of all the three SNPs both among all cases (odds ratio (OR): 1.15, 95% confidence interval (CI): 1.11-1.19, P = 8.88 x 10-16) and among familial cases (OR: 1.24, 95% CI: 1.16-1.32, P = 6.19 x 10-11), compared to the haplotype with the respective protective alleles. Our results suggest that loss-of-function mutations in RAD51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.

715 citations

Journal ArticleDOI
07 Jul 2005-Oncogene
TL;DR: The identification of a group of breast tumours with increased androgen signalling and a ‘molecular apocrine’ gene expression profile is reported, suggesting that molecular apocrine tumours represent 8–14% of tumours in four published breast cancer studies.
Abstract: Previous microarray studies on breast cancer identified multiple tumour classes, of which the most prominent, named luminal and basal, differ in expression of the oestrogen receptor alpha gene (ER). We report here the identification of a group of breast tumours with increased androgen signalling and a 'molecular apocrine' gene expression profile. Tumour samples from 49 patients with large operable or locally advanced breast cancers were tested on Affymetrix U133A gene expression microarrays. Principal components analysis and hierarchical clustering split the tumours into three groups: basal, luminal and a group we call molecular apocrine. All of the molecular apocrine tumours have strong apocrine features on histological examination (P=0.0002). The molecular apocrine group is androgen receptor (AR) positive and contains all of the ER-negative tumours outside the basal group. Kolmogorov-Smirnov testing indicates that oestrogen signalling is most active in the luminal group, and androgen signalling is most active in the molecular apocrine group. ERBB2 amplification is commoner in the molecular apocrine than the other groups. Genes that best split the three groups were identified by Wilcoxon test. Correlation of the average expression profile of these genes in our data with the expression profile of individual tumours in four published breast cancer studies suggest that molecular apocrine tumours represent 8-14% of tumours in these studies. Our data show that it is possible with microarray data to divide mammary tumour cells into three groups based on steroid receptor activity: luminal (ER+ AR+), basal (ER- AR-) and molecular apocrine (ER- AR+).

713 citations

Journal ArticleDOI
Paul M. Thompson1, Jason L. Stein2, Sarah E. Medland3, Derrek P. Hibar1  +329 moreInstitutions (96)
TL;DR: The ENIGMA Consortium has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected.
Abstract: The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.

713 citations

Journal ArticleDOI
TL;DR: It is shown that hypochlorite and reactive radical intermediates of the human neutrophil enzyme myeloperoxidase catalyse the biodegradation of single-walled carbon nanotubes in vitro, in neutrophils and to a lesser degree in macrophages.
Abstract: We have shown previously that single-walled carbon nanotubes can be catalytically biodegraded over several weeks by the plant-derived enzyme, horseradish peroxidase1. However, whether peroxidase intermediates generated inside human cells or biofluids are involved in the biodegradation of carbon nanotubes has not been explored. Here, we show that hypochlorite and reactive radical intermediates of the human neutrophil enzyme myeloperoxidase catalyse the biodegradation of single-walled carbon nanotubes in vitro, in neutrophils and to a lesser degree in macrophages. Molecular modelling suggests that interactions of basic amino acids of the enzyme with the carboxyls on the carbon nanotubes position the nanotubes near the catalytic site. Importantly, the biodegraded nanotubes do not generate an inflammatory response when aspirated into the lungs of mice. Our findings suggest that the extent to which carbon nanotubes are biodegraded may be a major determinant of the scale and severity of the associated inflammatory responses in exposed individuals.

712 citations

Journal ArticleDOI
TL;DR: The present studies provide additional support to the idea that enamel matrix proteins are involved in the formation of acellular cementum and also that they have the potential to induce regeneration of the same type of cementum.
Abstract: Studies during the last 20 years have indicated that enamel-related proteins are involved in the formation of cementum. In the present article, this relation is further explored. Attention is called to the fact that coronal acellular extrinsic fiber cementum is formed on the enamel surface in a number of species. The composition of the enamel matrix proteins and the expression of these proteins during root formation are briefly reviewed. The dominating constituent of the enamel matrix, amelogenin, is shown by means of immunohistochemistry to be expressed in human teeth during root formation. Amelogenin was also found to be present in Tomes' granular layer of human teeth. When mesenchymal cells of the dental follicle were exposed to the enamel matrix a non-cellular hard tissue matrix was formed at the enamel surface. Application of porcine enamel matrix in experimental cavities in the roots of incisors of monkeys induced formation of acellular cementum that was well attached to the dentin. In control cavities without enamel matrix, a cellular, poorly attached hard tissue was formed. The present studies provide additional support to the idea that enamel matrix proteins are involved in the formation of acellular cementum and also that they have the potential to induce regeneration of the same type of cementum.

711 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
Network Information
Related Institutions (5)
National Institutes of Health
297.8K papers, 21.3M citations

94% related

French Institute of Health and Medical Research
174.2K papers, 8.3M citations

94% related

Lund University
124.6K papers, 5M citations

93% related

Johns Hopkins University School of Medicine
79.2K papers, 4.7M citations

93% related

University of Copenhagen
149.7K papers, 5.9M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023101
2022500
20217,763
20206,922
20196,057
20185,548