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Dive into the research topics where Marlene Danner Dalgaard is active.

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Featured researches published by Marlene Danner Dalgaard.


PLOS Computational Biology | 2011

Using electronic patient records to discover disease correlations and stratify patient cohorts

Francisco S. Roque; Peter Bjødstrup Jensen; Henriette Schmock; Marlene Danner Dalgaard; Massimo Andreatta; Thomas Fritz Hansen; Karen Søeby; Søren Bredkjær; Anders Juul; Thomas Werge; Lars Juhl Jensen; Søren Brunak

Electronic patient records remain a rather unexplored, but potentially rich data source for discovering correlations between diseases. We describe a general approach for gathering phenotypic descriptions of patients from medical records in a systematic and non-cohort dependent manner. By extracting phenotype information from the free-text in such records we demonstrate that we can extend the information contained in the structured record data, and use it for producing fine-grained patient stratification and disease co-occurrence statistics. The approach uses a dictionary based on the International Classification of Disease ontology and is therefore in principle language independent. As a use case we show how records from a Danish psychiatric hospital lead to the identification of disease correlations, which subsequently can be mapped to systems biology frameworks.


Nature microbiology | 2016

Colonic transit time is related to bacterial metabolism and mucosal turnover in the gut

Henrik Munch Roager; Lea Benedicte Skov Hansen; Martin Iain Bahl; Henrik Lauritz Frandsen; Vera Carvalho; Rikke Juul Gøbel; Marlene Danner Dalgaard; Damian Rafal Plichta; Morten Sparholt; Henrik Vestergaard; Torben Hansen; Thomas Sicheritz-Pontén; H. Bjørn Nielsen; Oluf Pedersen; Lotte Lauritzen; Mette Kristensen; Ramneek Gupta; Tine Rask Licht

Little is known about how colonic transit time relates to human colonic metabolism and its importance for host health, although a firm stool consistency, a proxy for a long colonic transit time, has recently been positively associated with gut microbial richness. Here, we show that colonic transit time in humans, assessed using radio-opaque markers, is associated with overall gut microbial composition, diversity and metabolism. We find that a long colonic transit time associates with high microbial richness and is accompanied by a shift in colonic metabolism from carbohydrate fermentation to protein catabolism as reflected by higher urinary levels of potentially deleterious protein-derived metabolites. Additionally, shorter colonic transit time correlates with metabolites possibly reflecting increased renewal of the colonic mucosa. Together, this suggests that a high gut microbial richness does not per se imply a healthy gut microbial ecosystem and points at colonic transit time as a highly important factor to consider in microbiome and metabolomics studies.


Electrophoresis | 1999

DIFFERENTIAL DISPLAY COMPETITIVE POLYMERASE CHAIN REACTION : AN OPTIMAL TOOL FOR ASSAYING GENE EXPRESSION

Marianne Hørby Jørgensen; Maja Bévort; Thuri S. Kledal; Brian V. Hansen; Marlene Danner Dalgaard; Henrik Leffers

Gene discovery, i.e. detection of genes whose expression is affected in diseases or by different treatments of cells or animals, has become the focus of much genetic research. The technologies that are used to detect changes in expression level include polymerase chain reaction (PCR)‐based subtraction methods, arrays of cDNA clones on chips or filters, serial analysis of gene expression, and differential display. In this paper we show that differential display can be used to investigate global gene expression in situations where a few genes change expression levels such as exposure of MCF7 cells to estradiol, and in more complex situations such as neuronal differentiation of human NTERA2 cells which affects a large number of genes. Furthermore, we show that differential display can replace Northern blotting and RNase protection as a tool to study the expression level of a specific gene in many samples. Results obtained by differential display can be stored in databases, where the identit a band (gene or mRNA name) can be linked with information about the primer combination displaying the band and a gel image showing the band pattern, which is all the information that is needed to compare the expression level of this gene in other samples.


Nature Genetics | 2017

Meta-analysis of five genome-wide association studies identifies multiple new loci associated with testicular germ cell tumor

Zhaoming Wang; Katherine A. McGlynn; Ewa Rajpert-De Meyts; D. Timothy Bishop; Charles C. Chung; Marlene Danner Dalgaard; Mark H. Greene; Ramneek Gupta; Tom Grotmol; Trine B. Haugen; Robert Karlsson; Kevin Litchfield; Nandita Mitra; Kasper Nielsen; Louise C. Pyle; Stephen M. Schwartz; Vesteinn Thorsson; Saran Vardhanabhuti; Fredrik Wiklund; Clare Turnbull; Stephen J. Chanock; Peter A. Kanetsky; Katherine L. Nathanson

The international Testicular Cancer Consortium (TECAC) combined five published genome-wide association studies of testicular germ cell tumor (TGCT; 3,558 cases and 13,970 controls) to identify new susceptibility loci. We conducted a fixed-effects meta-analysis, including, to our knowledge, the first analysis of the X chromosome. Eight new loci mapping to 2q14.2, 3q26.2, 4q35.2, 7q36.3, 10q26.13, 15q21.3, 15q22.31, and Xq28 achieved genome-wide significance (P < 5 × 10−8). Most loci harbor biologically plausible candidate genes. We refined previously reported associations at 9p24.3 and 19p12 by identifying one and three additional independent SNPs, respectively. In aggregate, the 39 independent markers identified to date explain 37% of father-to-son familial risk, 8% of which can be attributed to the 12 new signals reported here. Our findings substantially increase the number of known TGCT susceptibility alleles, move the field closer to a comprehensive understanding of the underlying genetic architecture of TGCT, and provide further clues to the etiology of TGCT.


Molecular Human Reproduction | 2010

OCT4 and downstream factors are expressed in human somatic urogenital epithelia and in culture of epididymal spheres

David Møbjerg Kristensen; John Nielsen; Mark Kalisz; Marlene Danner Dalgaard; Karine Audouze; Malene Erup Larsen; Grete K. Jacobsen; Thomas Horn; Søren Brunak; Niels E. Skakkebæk; Henrik Leffers

The transcription factor OCT4 plays a crucial role in the earliest differentiation of the mammalian embryo and in self-renewal of embryonic stem cells. However, it remains controversial whether this gene is also expressed in somatic tissues. Here, we use a combination of RT-PCR on whole and microdissected tissues, in situ hybridization, immunohistochemistry and western blotting to show that OCT4 and SOX2 together with downstream targets, UTF1 and REX1/ZFP42, are expressed in the human male urogenital tract. We further support these results by the analysis of DNA methylation of a region in the OCT4 promoter. In culture, human primary epididymal cells formed spheres that continued to express the investigated genes for at least 20 days. Transcriptomic analysis of cultured cells showed up-regulation of CD29, CD44 and CD133 that are normally associated with sphere-forming cancer stem cells. Furthermore, stimulation with retinoic acid resulted in down-regulation of OCT4 expression, however, without multilineage differentiation. Our results show that OCT4 and associated genes are expressed in somatic epithelial cells from the urogenital tract and that these cells can form spheres, a general marker of stem cell behaviour.


PLOS ONE | 2009

Optimizing staining protocols for laser microdissection of specific cell types from the testis including carcinoma in situ.

Si Brask Sonne; Marlene Danner Dalgaard; John Nielsen; Christina E. Hoei-Hansen; Ewa Rajpert-De Meyts; Lise Mette Gjerdrum; Henrik Leffers

Microarray and RT-PCR based methods are important tools for analysis of gene expression; however, in tissues containing many different cells types, such as the testis, characterization of gene expression in specific cell types can be severely hampered by noise from other cells. The laser microdissection technology allows for enrichment of specific cell types. However, when the cells are not morphologically distinguishable, it is necessary to use a specific staining method for the target cells. In this study we have tested different fixatives, storage conditions for frozen sections and staining protocols, and present two staining protocols for frozen sections, one for fast and specific staining of fetal germ cells, testicular carcinoma in situ cells, and other cells with embryonic stem cell-like properties that express the alkaline phosphatase, and one for specific staining of lipid droplet-containing cells, which is useful for isolation of the androgen-producing Leydig cells. Both protocols retain a morphology that is compatible with laser microdissection and yield RNA of a quality suitable for PCR and microarray analysis.


Gut | 2017

Whole grain-rich diet reduces body weight and systemic low-grade inflammation without inducing major changes of the gut microbiome: a randomised cross-over trial

Henrik Munch Roager; Josef Korbinian Vogt; Mette Kristensen; Lea Benedicte Skov Hansen; Sabine Ibrügger; Rasmus Baadsgaard Mærkedahl; Martin Iain Bahl; Mads Vendelbo Lind; Rikke Linnemann Nielsen; Hanne Frøkiær; Rikke Juul Gøbel; Rikard Landberg; Alastair B. Ross; Susanne Brix; Jesper Holck; Anne S. Meyer; Morten Sparholt; Anders Fogh Christensen; Vera Carvalho; Jens J. Holst; Jüri Johannes Rumessen; Allan Linneberg; Thomas Sicheritz-Pontén; Marlene Danner Dalgaard; Andreas Blennow; Henrik Lauritz Frandsen; Silas G. Villas-Bôas; Karsten Kristiansen; Henrik Vestergaard; Torben Hansen

Objective To investigate whether a whole grain diet alters the gut microbiome and insulin sensitivity, as well as biomarkers of metabolic health and gut functionality. Design 60 Danish adults at risk of developing metabolic syndrome were included in a randomised cross-over trial with two 8-week dietary intervention periods comprising whole grain diet and refined grain diet, separated by a washout period of ≥6 weeks. The response to the interventions on the gut microbiome composition and insulin sensitivity as well on measures of glucose and lipid metabolism, gut functionality, inflammatory markers, anthropometry and urine metabolomics were assessed. Results 50 participants completed both periods with a whole grain intake of 179±50 g/day and 13±10 g/day in the whole grain and refined grain period, respectively. Compliance was confirmed by a difference in plasma alkylresorcinols (p<0.0001). Compared with refined grain, whole grain did not significantly alter glucose homeostasis and did not induce major changes in the faecal microbiome. Also, breath hydrogen levels, plasma short-chain fatty acids, intestinal integrity and intestinal transit time were not affected. The whole grain diet did, however, compared with the refined grain diet, decrease body weight (p<0.0001), serum inflammatory markers, interleukin (IL)-6 (p=0.009) and C-reactive protein (p=0.003). The reduction in body weight was consistent with a reduction in energy intake, and IL-6 reduction was associated with the amount of whole grain consumed, in particular with intake of rye. Conclusion Compared with refined grain diet, whole grain diet did not alter insulin sensitivity and gut microbiome but reduced body weight and systemic low-grade inflammation. Trial registration number NCT01731366; Results.


Human Molecular Genetics | 2017

Klinefelter syndrome comorbidities linked to increased X chromosome gene dosage and altered protein interactome activity

Kirstine González-Izarzugaza Belling; Francesco Russo; Anders Boeck Jensen; Marlene Danner Dalgaard; David Westergaard; Ewa Rajpert-De Meyts; Niels E. Skakkebæk; Anders Juul; Søren Brunak

Abstract Klinefelter syndrome (KS) (47,XXY) is the most common male sex chromosome aneuploidy. Diagnosis and clinical supervision remain a challenge due to varying phenotypic presentation and insufficient characterization of the syndrome. Here we combine health data-driven epidemiology and molecular level systems biology to improve the understanding of KS and the molecular interplay influencing its comorbidities. In total, 78 overrepresented KS comorbidities were identified using in- and out-patient registry data from the entire Danish population covering 6.8 million individuals. The comorbidities extracted included both clinically well-known (e.g. infertility and osteoporosis) and still less established KS comorbidities (e.g. pituitary gland hypofunction and dental caries). Several systems biology approaches were applied to identify key molecular players underlying KS comorbidities: Identification of co-expressed modules as well as central hubs and gene dosage perturbed protein complexes in a KS comorbidity network build from known disease proteins and their protein–protein interactions. The systems biology approaches together pointed to novel aspects of KS disease phenotypes including perturbed Jak-STAT pathway, dysregulated genes important for disturbed immune system (IL4), energy balance (POMC and LEP) and erythropoietin signalling in KS. We present an extended epidemiological study that links KS comorbidities to the molecular level and identify potential causal players in the disease biology underlying the identified comorbidities.


Leukemia | 2015

Genomic profiling of thousands of candidate polymorphisms predicts risk of relapse in 778 Danish and German childhood acute lymphoblastic leukemia patients

Agata Wesolowska-Andersen; L. Borst; Marlene Danner Dalgaard; Rachita Yadav; K. K. Rasmussen; Peder Skov Wehner; Morten Rasmussen; Torben F. Ørntoft; I. Nordentoft; R. Koehler; C. R. Bartram; M. Schrappe; Thomas Sicheritz-Pontén; Laurent Gautier; Hanne Vibeke Marquart; Hans O. Madsen; Søren Brunak; M. Stanulla; Ramneek Gupta; Kjeld Schmiegelow

Childhood acute lymphoblastic leukemia survival approaches 90%. New strategies are needed to identify the 10–15% who evade cure. We applied targeted, sequencing-based genotyping of 25 000 to 34 000 preselected potentially clinically relevant single-nucleotide polymorphisms (SNPs) to identify host genome profiles associated with relapse risk in 352 patients from the Nordic ALL92/2000 protocols and 426 patients from the German Berlin–Frankfurt–Munster (BFM) ALL2000 protocol. Patients were enrolled between 1992 and 2008 (median follow-up: 7.6 years). Eleven cross-validated SNPs were significantly associated with risk of relapse across protocols. SNP and biologic pathway level analyses associated relapse risk with leukemia aggressiveness, glucocorticosteroid pharmacology/response and drug transport/metabolism pathways. Classification and regression tree analysis identified three distinct risk groups defined by end of induction residual leukemia, white blood cell count and variants in myeloperoxidase (MPO), estrogen receptor 1 (ESR1), lamin B1 (LMNB1) and matrix metalloproteinase-7 (MMP7) genes, ATP-binding cassette transporters and glucocorticosteroid transcription regulation pathways. Relapse rates ranged from 4% (95% confidence interval (CI): 1.6–6.3%) for the best group (72% of patients) to 76% (95% CI: 41–90%) for the worst group (5% of patients, P<0.001). Validation of these findings and similar approaches to identify SNPs associated with toxicities may allow future individualized relapse and toxicity risk-based treatments adaptation.


Frontiers in Endocrinology | 2013

Genome-Wide Assessment of the Association of Rare and Common Copy Number Variations to Testicular Germ Cell Cancer

Daniel Edsgärd; Marlene Danner Dalgaard; Nils Weinhold; Agata Wesolowska-Andersen; Ewa Rajpert-De Meyts; Anne Marie Ottesen; Anders Juul; Niels E. Skakkebæk; Thomas Skøt Jensen; Ramneek Gupta; Henrik Leffers; Søren Brunak

Testicular germ cell cancer (TGCC) is one of the most heritable forms of cancer. Previous genome-wide association studies have focused on single nucleotide polymorphisms, largely ignoring the influence of copy number variants (CNVs). Here we present a genome-wide study of CNV on a cohort of 212 cases and 437 controls from Denmark, which was genotyped at ∼1.8 million markers, half of which were non-polymorphic copy number markers. No association of common variants were found, whereas analysis of rare variants (present in less than 1% of the samples) initially indicated a single gene with significantly higher accumulation of rare CNVs in cases as compared to controls, at the gene PTPN1 (P = 3.8 × 10−2, 0.9% of cases and 0% of controls). However, the CNV could not be verified by qPCR in the affected samples. Further, the CNV calling of the array-data was validated by sequencing of the GSTM1 gene, which showed that the CNV frequency was in complete agreement between the two platforms. This study therefore disconfirms the hypothesis that there exists a single CNV locus with a major effect size that predisposes to TGCC. Genome-wide pathway association analysis indicated a weak association of rare CNVs related to cell migration (false-discovery rate = 0.021, 1.8% of cases and 1.1% of controls). Dysregulation during migration of primordial germ cells has previously been suspected to be a part of TGCC development and this set of multiple rare variants may thereby have a minor contribution to an increased susceptibility of TGCCs.

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Søren Brunak

University of Copenhagen

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Anders Juul

University of Copenhagen

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Ramneek Gupta

Technical University of Denmark

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Ewa Rajpert-De Meyts

Copenhagen University Hospital

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Thomas Sicheritz-Pontén

Technical University of Denmark

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Martin Iain Bahl

Technical University of Denmark

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Henrik Lauritz Frandsen

Technical University of Denmark

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Henrik Munch Roager

Technical University of Denmark

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