Web page: https://www.uniklinikum-leipzig.de/einrichtungen/life
Funding details:Related items
- Projects (8)
- Institutions (8)
- Investigations (6)
- Studies (15)
- Resources (21+1)
- Publications (265)
- Data files (176)
- Models (15)
- Documents (7)
- People (34)
- Events (2)
- Human Diseases (13)
The aim of the Head and Neck Group within the Leipzig Research Center for Civilization Diseases (LIFE) is to facilitate improvements in the treatment and care of head and neck cancer patients through insights from molecular studies.
The Head and Neck Group within the Leipzig Research Center for Civilization Diseases (LIFE) investigates the molecular mechanisms and the diagnostic and prognostic factors of head and neck cancer. For this purpose, we collected phenotypic information from about 300 ...
Programme: LIFE Management Cluster
Public web page: http://life.uni-leipzig.de/
Start date: 1st Jan 2012
End date: 31st Dec 2012
Organisms: Homo sapiens
Human Diseases: head and neck cancer
LIFE Child wants to find out how environmental factors and lifestyles can affect the health of children and adolescents. The aim of the study is to examine civilization diseases such as allergies, obesity, diabetes, cardiovascular diseases in more detail. Furthermore, the study also focuses on healthy mental and physical development from the infant to the young adult. The team of the LIFE Child study around Prof. Dr. med. Wieland Kiess would like to examine and question about 5,000 subjects aged ...
Programme: LIFE Management Cluster
Public web page: http://www.life-child.de/
Start date: 1st Jan 2009
Organisms: Homo sapiens
Human Diseases: disease of anatomical entity, disease of mental health, disease of metabolism
The LIFE-Heart study recruited 7,000 patients with suspected coronary heart disease, manifest heart disease or myocardial infarction. All patients received coronary angiography so that the vascular status in the heart is precisely known. In principle, this examination is not feasible in population-related studies. In addition, the patients were thoroughly examined with regard to the general vascular status and the health of the cardiovascular system. Extensive environmental factors were recorded. ...
Programme: LIFE Management Cluster
Public web page: http://life.uni-leipzig.de/
Start date: 1st Jan 2009
Organisms: Homo sapiens
Human Diseases: cardiovascular system disease
Goal of the Leipzig Research Center for Civilization Diseases (LIFE) is the investigation of civilization diseases like depression, diabetes, allergies or cardiovascular diseases. For this purpose we collect as much data as possible regarding health and living conditions of the population in Leipzig and provide these data for scientists of the University of Leipzig and other research institutions.
Programme: LIFE Management Cluster
Public web page: http://life.uni-leipzig.de/
Start date: 1st Jan 2009
This population-based study examined 10,000 participants randomly selected from the Leipzig population (2011 to 2014). A follow-up is to be carried out from 2017 - 2020. The study mainly included people aged between 40 and 79. All participants underwent a 6-hour study program and people over 60 years of age were invited two more times to in-depth study of cognition and depression and the brain (MRI, EEG). Extensive measurements of genome, metabolome and transcriptome are available. The LIFE-ADULT ...
Programme: LIFE Management Cluster
Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html
Start date: 1st Jan 2009
Organisms: Homo sapiens
Human Diseases: mood disorder, dementia, coronary artery disease, obesity
The German Consortium for Hereditary Non-Polyposis Colorectal Cancer has been founded in 1999 by the German Cancer Aid and has been funded by the German Cancer Aid until recently. GC-HNPCC currently comprises 6 university centers providing genetic counseling, histopathological and molecular tissue analysis, genetic testing, and specific structured surveillance programs for early cancer detection at each clinical unit, all based on defined standard operating procedures.
Programme: LIFE Management Cluster
Public web page: https://www.imise.uni-leipzig.de/institut/Projekte/Verbundprojekt-Familiaerer-Darmkrebs
Start date: 1st Jan 1999
Organisms: Not specified
Human Diseases: Lynch syndrome
As an interdisciplinary network of scientists, the SepNet study group deals with the topics of severe sepsis and septic shock. The aim of the network is to create the prerequisites for better clinical and experimental research into sepsis and thus to develop efficient treatment approaches.
Programme: LIFE Management Cluster
Public web page: https://www.sepsis-stiftung.eu/sepnet/
Start date: 1st Jan 2003
Organisms: Homo sapiens
Human Diseases: disease by infectious agent
The German Consortium for Hereditary Breast and Ovarian Cancer HBOC has been founded in 1996 by the German Cancer Aid and has been funded by the German Cancer Aid until recently. GC-HBOC currently comprises 17 university centers providing genetic counseling, histopathological and molecular tissue analysis, genetic testing, and specific structured surveillance programs for early cancer detection at each clinical unit, all based on defined standard operating procedures.
Programme: LIFE Management Cluster
Public web page: http://www.konsortium-familiaerer-brustkrebs.de/
Start date: 1st Jan 1996
Organisms: Not specified
Human Diseases: hereditary breast ovarian cancer syndrome
Resutls of different OMICS-level using LIFE Adult and LIFE Heart data are presented (Publications, Supplemental Data, & Summary Statistics).
Submitter: René Hänsel
Studies: DNA methylation patterns reflect individual lifestyle independent from o..., GWAMA PCSK9, GWAMA Phytosterole, GWAMA Steroid hormones, GWAMA vaspin, GWAS Body Scanner Measures, GWAS Carotid Plaque Burden, GWAS Pulse Wave Velocity, GWAS Steroid Hormones, scRNA-Seq across species for pulmonologists
Resources: Gene Expression data, LIFE-Adult EPIC data, Summary Statistic for PWV GWAS, Summary Statistics, Summary Statistics, Summary Statistics, Summary Statistics, Summary Statistics, Summary Statistics - Phytosterols, Supplement Data, scRNA-Seq expression data as RDS Seurat file
Snapshots: No snapshots
Severe sepsis and septic shock have a high mortality. Research has concentrated on adjunctive sepsis therapies; the role of supportive measures is comparatively unclear. In Europe the use of colloids is widespread, but there is no evidence on the role of either crystalloid or colloid volume therapy in sepsis. Recently, a higher incidence of kidney failure in sepsis was reported after administration of colloids.
Snapshots: No snapshots
Stratification of head and neck squamous cell carcinomas (HNSCC) based on HPV16 DNA and RNA status
Snapshots: No snapshots
Snapshots: No snapshots
Snapshots: No snapshots
Snapshots: No snapshots
A meta-analysis of genome-wide associations for serum vaspin from six independent cohorts (N = 7446) was conducted. The data show that serum vaspin is strongly determined by genetic variants within vaspin.
This study belongs to the publication: https://doi.org/10.1002/oby.23882
Submitter: Katrin Horn
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
Snapshots: No snapshots
Submitter: Katrin Horn
Investigation: OMICS Investigations
Resources: Gene Expression data, LIFE-Adult EPIC data
Study type: Not specified
Snapshots: No snapshots
Summary statistics of Meta-GWAS results will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
Snapshots: No snapshots
In our manuscript, we describe current procedures, tools, and results to create, compare and qualitatively assess the single-cell transcriptomes of the lung in three different species; human (Homo sapiens), hamster (Mesocricetus auratus), and mice (Mus musculus).
We make the analysis reproducible by publishing the R-based workflow on GitHub pulmonologists_interspecies_scRNA
.
Here in the LHA, we provide the required scRNA-Seq
...
Submitter: Holger Kirsten
Investigation: OMICS Investigations
Resources: scRNA-Seq expression data as RDS Seurat file
Study type: Cell study
Snapshots: No snapshots
Genome-wide Association Meta-Analyses of four steroid hormones (progesterone, 17-OH-progesterone, androstenedione, and aldosterone) and the ratio of testosterone to estradiol. Summary statistics of GWAMA results will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: No Resources
Study type: Genetic study
Snapshots: No snapshots
Genome-wide Association Meta-Analyses of 32 phytosterol traits reflecting resorption, cholesterol synthesis and esterification in six studies with up to 9,758 subjects Summary statistics of GWAMA results will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics - Phytosterols
Study type: Genetic study
Snapshots: No snapshots
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
Snapshots: No snapshots
We analysed if measuring PWV in different segments of the body leads to association with different genetic variants, as well as different heritability and different genetic correlation with other biological traits. Furthermore we searched for shared genetic architecture concerning PWV, blood pressure (BP) and coronary artery disease (CAD) and examined the causal relationship between PWV and BP.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistic for PWV GWAS
Study type: Genetic study
Snapshots: No snapshots
We defined six operationalizations of CPB considering plaques in common carotid arteries, carotid bulb, and internal carotid arteries (maximal plaque area, mean plaque area, sum of plaque areas at all six regions, maximal degree of stenosis, mean degree of stenosis, and sum of stenosis at all six regions). Link to publication (PMID, DOI), Supplemental Figures and Tables, and Summary Statistics of GWAS will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
Snapshots: No snapshots
Supplement Data for Publication including Supplement Material & Results (eQTL annotation, Mendelian Randomization (MR), further significant loci), Figures (correlation plot of steroid hormones, scatter plot of genetic effect sizes, regional association plots, scatter plots of MR) and Tables (Correlations, GWAS summary statistics, interaction tests, MR results)
Submitter: René Hänsel
Investigation: OMICS Investigations
Resources: Summary Statistics, Supplement Data
Study type: Genetic study
Snapshots: No snapshots
Summary Statistics used in publication
Submitter: Katrin Horn
Resource type: Genome Wide Association
Technology type: Technology Type
Investigation: OMICS Investigations
Study: GWAMA vaspin
Human Diseases: No human diseases
Data files: Summary Statstics for vaspin ALL
Snapshots: No snapshots
Submitter: Katrin Horn
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: OMICS Investigations
Human Diseases: No human diseases
Data files: LIFE-Adult EPIC Samples Sheet, LIFE-Adult EPIC data idat files
Snapshots: No snapshots
To provide data input and result from a scRNA-Seq integration workflow
Submitter: Holger Kirsten
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: OMICS Investigations
Human Diseases: No human diseases
Data files: Input files used in scripts, scRNA-Seq expression-data as RDS Seurat file
Snapshots: No snapshots
Submitter: Andreas Kühnapfel
Biological problem addressed: Genome Scale
Investigation: OMICS Investigations
Study: GWAS Body Scanner Measures
Human Diseases: No human diseases
Models: No Models
Data files: BS Abbreviations, Summary Statistics for BS_3D_WAISTBAND, Summary Statistics for BS_3D_WAISTBAND_AVERAGE_..., Summary Statistics for BS_3D_WAISTBAND_B_HT, Summary Statistics for BS_3D_WAISTBAND_F_HT, Summary Statistics for BS_AC_BACK_WTH, Summary Statistics for BS_AC_BACK_WTH_AL, Summary Statistics for BS_ANKLE_GTH_AVERAGE, Summary Statistics for BS_ANKLE_HT, Summary Statistics for BS_ARM_LTH_AVERAGE, Summary Statistics for BS_ARM_LTH_T_NECK_AVERAGE, Summary Statistics for BS_ARM_LTH_T_NECK_B_AVERAGE, Summary Statistics for BS_BELLY_CIRC, Summary Statistics for BS_BELLY_CIRC_HT, Summary Statistics for BS_BMI, Summary Statistics for BS_BREAST_HT, Summary Statistics for BS_BUST_CHEST_GTH, Summary Statistics for BS_BUST_CHEST_GTH_HZ, Summary Statistics for BS_BUST_PT_AR_NECK, Summary Statistics for BS_BUST_PT_T_NECK_AVERAGE, Summary Statistics for BS_BUST_PT_WTH, Summary Statistics for BS_BUTTOCK_GTH, Summary Statistics for BS_BUTTOCK_HT, Summary Statistics for BS_CALF_GTH_AVERAGE, Summary Statistics for BS_CROTCH_HT, Summary Statistics for BS_CROTCH_LTH, Summary Statistics for BS_CROTCH_LTH_AT_WB, Summary Statistics for BS_CROTCH_LTH_AT_WB_A, Summary Statistics for BS_CROTCH_LTH_F, Summary Statistics for BS_CROTCH_LTH_R, Summary Statistics for BS_CR_SHOULDER, Summary Statistics for BS_CR_SHOULDER_O_NECK, Summary Statistics for BS_DEV_WB_FROM_WAIST_B, Summary Statistics for BS_DEV_WB_FROM_WAIST_F, Summary Statistics for BS_DEV_WB_FROM_WAIST_S, Summary Statistics for BS_DIST_AC_B_WTH_WAIST, Summary Statistics for BS_DIST_CROTCH_WAISTBAN, Summary Statistics for BS_DIST_NECK_KNEE, Summary Statistics for BS_DIST_NECK_T_HIP, Summary Statistics for BS_DIST_WAISTBAND_BUTT, Summary Statistics for BS_DIST_WAISTBAND_KNEE, Summary Statistics for BS_DIST_WAIST_KNEE, Summary Statistics for BS_ELBOW_GTH_AVERAGE, Summary Statistics for BS_FOREARM_GTH_AVERAGE, Summary Statistics for BS_FOREARM_LTH_AVERAGE, Summary Statistics for BS_HEAD_CIRC, Summary Statistics for BS_HEAD_HT, Summary Statistics for BS_HIGH_HIP_GTH, Summary Statistics for BS_HIGH_WAIST_GTH, Summary Statistics for BS_HIGH_WAIST_HT, Summary Statistics for BS_HIP_GTH, Summary Statistics for BS_HIP_HT, Summary Statistics for BS_HIP_THIGH_GTH, Summary Statistics for BS_HT, Summary Statistics for BS_HT_SHOULDER_BLADES, Summary Statistics for BS_INSEAM_AVERAGE, Summary Statistics for BS_IN_LEG_ANKLE_AVERAGE, Summary Statistics for BS_KNEE_GTH_AVERAGE, Summary Statistics for BS_KNEE_HT, Summary Statistics for BS_MAX_BELLY_CIRC, Summary Statistics for BS_MAX_BELLY_CIRC_HT, Summary Statistics for BS_MIDDLE_HIP, Summary Statistics for BS_MID_NECK_GTH, Summary Statistics for BS_MIN_LEG_GTH_AVERAGE, Summary Statistics for BS_NECK_AC_BACK_WTH_AL, Summary Statistics for BS_NECK_AT_BASE_GTH, Summary Statistics for BS_NECK_AVERAGE_T_WAIST_B, Summary Statistics for BS_NECK_DIAM, Summary Statistics for BS_NECK_F_T_WAIST, Summary Statistics for BS_NECK_F_T_WAIST_OV_BL, Summary Statistics for BS_NECK_HT, Summary Statistics for BS_NECK_R_WAIST_OV_BL, Summary Statistics for BS_NECK_WAIST_C_BACK, Summary Statistics for BS_SCAPULA_HT_2, Summary Statistics for BS_SIDESEAM_3D_WD_AVERAGE, Summary Statistics for BS_SIDESEAM_ANKLE_AVERAGE, Summary Statistics for BS_SIDESEAM_AVERAGE, Summary Statistics for BS_SIDESEAM_WAIST_AVERAGE, Summary Statistics for BS_THIGH_GTH_AVERAGE_HZ, Summary Statistics for BS_TORSO_WTH_WAIST, Summary Statistics for BS_TOT_TORSO_GTH, Summary Statistics for BS_UNDERBUST_CIRC_HZ, Summary Statistics for BS_UP_ARM_DIAM_AVERAGE, Summary Statistics for BS_UP_ARM_GTH_AVERAGE, Summary Statistics for BS_UP_ARM_LTH_AVERAGE, Summary Statistics for BS_WAISTBAND, Summary Statistics for BS_WAISTBAND_B_HT, Summary Statistics for BS_WAISTBAND_F_HT, Summary Statistics for BS_WAISTBAND_HT, Summary Statistics for BS_WAIST_BUTTOCK_HT_AVERAGE, Summary Statistics for BS_WAIST_GTH, Summary Statistics for BS_WAIST_HT, Summary Statistics for BS_WAIST_T_BUTTOCK, Summary Statistics for BS_WAIST_T_HIGH_HIP_B, Summary Statistics for BS_WB_BUTTOCK_HT_AVERAGE, Summary Statistics for BS_WRIST_GTH, Summary Statistics for BS_WRIST_GTH_AVERAGE, Summary Statistics for BS_WT, Summary Statistics for BS_WTH, Summary Statistics for BS_WTH_THIGH_AVERAGE
Snapshots: No snapshots
Submitter: Katrin Horn
Resource type: Gene Expression Profiling
Technology type: Technology Type
Investigation: OMICS Investigations
We are releasing the summary data from our GWAMA of PCSK9 levels, pending on acceptance of our publication, to empower other researchers to examine variants or loci in which they are interested for associations. These data are intended for research purposes only.
Citation: tba
When using this data acknowledge the source as follows: 'Data on PCSK9 has been downloaded from https://www.health-atlas.de/data_files/551.'
For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) ...
Submitter: Janne Pott
Resource type: Experimental Assay Type
Technology type: SNP Array
Investigation: OMICS Investigations
Study: GWAMA PCSK9
We are releasing the summary data from our GWAMA of phytosterol traits, pending on acceptance of our publication, to empower other researchers to examine variants or loci in which they are interested for associations. These data are intended for research purposes only.
Citation: tba
When using this data acknowledge the source as follows: 'Data on phytosterol X has been contributed by LIFE investigators and has been downloaded from https://www.health-atlas.de/assays/53.'
For any enquiries about ...
Submitter: Janne Pott
Resource type: Experimental Assay Type
Technology type: SNP Array
Investigation: OMICS Investigations
Study: GWAMA Phytosterole
Human Diseases: No human diseases
Data files: Summary statistics for brassicasterol (part 1), Summary statistics for brassicasterol (part 2), Summary statistics for campesterol (part 1), Summary statistics for campesterol (part 2), Summary statistics for sitosterol (part 1), Summary statistics for sitosterol (part 2), Summary statistics for stigmasterol (part 1), Summary statistics for stigmasterol (part 2)
Snapshots: No snapshots
Summary statistics from GWAS of baPWV, bfPWV, cfPWV All samples (adjusted for age, sex and log_sys)
These data is intended for research purposes only.
Citation: tbc
When using this data acknowledge the source as follows: 'Data on PWV has been contributed by LIFE-Adult investigators and has been downloaded from https://www.health-atlas.de/assays/34'
For any enquiries about the datasets, please contact Michael Rode (michael.rode@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de) ...
Submitter: Michael Rode
Resource type: Genome Wide Association
Technology type: SNP Array
Investigation: OMICS Investigations
Study: GWAS Pulse Wave Velocity
We are releasing the summary data from our GWAS of carotid plaque burden traits, pending on acceptance of our publication, to empower other researchers to examine variants or loci in which they are interested for associations. These data are intended for research purposes only.
Citation:
When using this data acknowledge the source as follows: 'Data on carotid plaque burden has been contributed by LIFE-Adult investigators and has been downloaded from https://www.health-atlas.de/assays/31 '
For any ...
Submitter: Janne Pott
Resource type: Genome Wide Association
Technology type: SNP Array
Investigation: OMICS Investigations
Study: GWAS Carotid Plaque Burden
Human Diseases: atherosclerosis, coronary artery disease
Data files: Summary Statistics for CPA_max, Summary Statistics for CPA_mean, Summary Statistics for CPA_sum, Summary Statistics for CPS_max, Summary Statistics for CPS_mean, Summary Statistics for CPS_sum
Snapshots: No snapshots
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: head and neck squamous cell carcinomas
Study: HNSCC
Human Diseases: head and neck squamous cell carcinoma
Data files: GSE 65858 CSV, GSE 65858 ODM, GSE 65858 XLS, Gene expression patterns and TP53 mutations are...
Snapshots: No snapshots
Abstract (Expand)
Authors: M. Schmidt, L. Hopp, A. Arakelyan, H. Kirsten, C. Engel, K. Wirkner, K. Krohn, R. Burkhardt, J. Thiery, M. Loeffler, H. Loeffler-Wirth, H. Binder
Date Published: 11th Mar 2021
Publication Type: Journal article
PubMed ID: 33693414
Citation: Front Big Data. 2020 Oct 30;3:548873. doi: 10.3389/fdata.2020.548873. eCollection 2020.
Abstract (Expand)
Authors: Nasim Mavaddat, Antonis C. Antoniou, Thea M. Mooij, Maartje J. Hooning, Bernadette A. Heemskerk-Gerritsen, Catherine Noguès, Marion Gauthier-Villars, Olivier Caron, Paul Gesta, Pascal Pujol, Alain Lortholary, Daniel Barrowdale, Debra Frost, D. Gareth Evans, Louise Izatt, Julian Adlard, Ros Eeles, Carole Brewer, Marc Tischkowitz, Alex Henderson, Jackie Cook, Diana Eccles, Klaartje van Engelen, Marian J. E. Mourits, Margreet G. E. M. Ausems, Linetta B. Koppert, John L. Hopper, Esther M. John, Wendy K. Chung, Irene L. Andrulis, Mary B. Daly, Saundra S. Buys, Javier Benitez, Trinidad Caldes, Anna Jakubowska, Jacques Simard, Christian F. Singer, Yen Tan, Edith Olah, Marie Navratilova, Lenka Foretova, Anne-Marie Gerdes, Marie-José Roos-Blom, Flora E. van Leeuwen, Brita Arver, Håkan Olsson, Rita K. Schmutzler, Christoph Engel, Karin Kast, Kelly-Anne Phillips, Mary Beth Terry, Roger L. Milne, David E. Goldgar, Matti A. Rookus, Nadine Andrieu, Douglas F. Easton
Date Published: 1st Dec 2020
Publication Type: Journal article
Human Diseases: hereditary breast ovarian cancer syndrome
DOI: 10.1186/s13058-020-1247-4
Citation: Breast Cancer Res 22(1),8
Abstract
Authors: Nasim Mavaddat, Antonis C. Antoniou, Thea M. Mooij, Maartje J. Hooning, Bernadette A. Heemskerk-Gerritsen, Catherine Noguès, Marion Gauthier-Villars, Olivier Caron, Paul Gesta, Pascal Pujol, Alain Lortholary, Daniel Barrowdale, Debra Frost, D. Gareth Evans, Louise Izatt, Julian Adlard, Ros Eeles, Carole Brewer, Marc Tischkowitz, Alex Henderson, Jackie Cook, Diana Eccles, Klaartje van Engelen, Marian J. E. Mourits, Margreet G. E. M. Ausems, Linetta B. Koppert, John L. Hopper, Esther M. John, Wendy K. Chung, Irene L. Andrulis, Mary B. Daly, Saundra S. Buys, Javier Benitez, Trinidad Caldes, Anna Jakubowska, Jacques Simard, Christian F. Singer, Yen Tan, Edith Olah, Marie Navratilova, Lenka Foretova, Anne-Marie Gerdes, Marie-José Roos-Blom, Flora E. van Leeuwen, Brita Arver, Håkan Olsson, Rita K. Schmutzler, Christoph Engel, Karin Kast, Kelly-Anne Phillips, Mary Beth Terry, Roger L. Milne, David E. Goldgar, Matti A. Rookus, Nadine Andrieu, Douglas F. Easton
Date Published: 1st Dec 2020
Publication Type: Journal article
Human Diseases: hereditary breast ovarian cancer syndrome
DOI: 10.1186/s13058-020-01259-w
Citation: Breast Cancer Res 22(1),25
Abstract (Expand)
Authors: M. Gorski, B. Jung, Y. Li, P. R. Matias-Garcia, M. Wuttke, S. Coassin, C. H. L. Thio, M. E. Kleber, T. W. Winkler, V. Wanner, J. F. Chai, A. Y. Chu, M. Cocca, M. F. Feitosa, S. Ghasemi, A. Hoppmann, K. Horn, M. Li, T. Nutile, M. Scholz, K. B. Sieber, A. Teumer, A. Tin, J. Wang, B. O. Tayo, T. S. Ahluwalia, P. Almgren, S. J. L. Bakker, B. Banas, N. Bansal, M. L. Biggs, E. Boerwinkle, E. P. Bottinger, H. Brenner, R. J. Carroll, J. Chalmers, M. L. Chee, M. L. Chee, C. Y. Cheng, J. Coresh, M. H. de Borst, F. Degenhardt, K. U. Eckardt, K. Endlich, A. Franke, S. Freitag-Wolf, P. Gampawar, R. T. Gansevoort, M. Ghanbari, C. Gieger, P. Hamet, K. Ho, E. Hofer, B. Holleczek, V. H. Xian Foo, N. Hutri-Kahonen, S. J. Hwang, M. A. Ikram, N. S. Josyula, M. Kahonen, C. C. Khor, W. Koenig, H. Kramer, B. K. Kramer, B. Kuhnel, L. A. Lange, T. Lehtimaki, W. Lieb, R. J. F. Loos, M. A. Lukas, L. P. Lyytikainen, C. Meisinger, T. Meitinger, O. Melander, Y. Milaneschi, P. P. Mishra, N. Mononen, J. C. Mychaleckyj, G. N. Nadkarni, M. Nauck, K. Nikus, B. Ning, I. M. Nolte, M. L. O'Donoghue, M. Orho-Melander, S. A. Pendergrass, B. W. J. H. Penninx, M. H. Preuss, B. M. Psaty, L. M. Raffield, O. T. Raitakari, R. Rettig, M. Rheinberger, K. M. Rice, A. R. Rosenkranz, P. Rossing, J. I. Rotter, C. Sabanayagam, H. Schmidt, R. Schmidt, B. Schottker, C. A. Schulz, S. Sedaghat, C. M. Shaffer, K. Strauch, S. Szymczak, K. D. Taylor, J. Tremblay, L. Chaker, P. van der Harst, P. J. van der Most, N. Verweij, U. Volker, M. Waldenberger, L. Wallentin, D. M. Waterworth, H. D. White, J. G. Wilson, T. Y. Wong, M. Woodward, Q. Yang, M. Yasuda, L. M. Yerges-Armstrong, Y. Zhang, H. Snieder, C. Wanner, C. A. Boger, A. Kottgen, F. Kronenberg, C. Pattaro, I. M. Heid
Date Published: 30th Oct 2020
Publication Type: Journal article
PubMed ID: 33137338
Citation: Kidney Int. 2020 Oct 30. pii: S0085-2538(20)31239-4. doi: 10.1016/j.kint.2020.09.030.
Abstract (Expand)
Authors: Michael Rode, Andrej Teren, Kerstin Wirkner, Katrin Horn, Holger Kirsten, Markus Loeffler, Markus Scholz, Janne Pott
Date Published: 13th Aug 2020
Publication Type: Journal article
Human Diseases: arteriosclerosis, arteriosclerotic cardiovascular disease
DOI: 10.1371/journal.pone.0237237
Citation: PLoS ONE 15(8):e0237237
Abstract (Expand)
Authors: Neda Baniasadi, Franziska G. Rauscher, Dian Li, Mengyu Wang, Eun Young Choi, Hui Wang, Thomas Peschel, Kerstin Wirkner, Toralf Kirsten, Joachim Thiery, Christoph Engel, Markus Loeffler, Tobias Elze
Date Published: 3rd Aug 2020
Publication Type: Journal article
DOI: 10.1167/tvst.9.9.23
Citation: Trans. Vis. Sci. Tech. 9(9):23
Abstract (Expand)
Authors: Valentina Silvestri, Goska Leslie, Daniel R. Barnes, Bjarni A. Agnarsson, Kristiina Aittomäki, Elisa Alducci, Irene L. Andrulis, Rosa B. Barkardottir, Alicia Barroso, Daniel Barrowdale, Javier Benitez, Bernardo Bonanni, Ake Borg, Saundra S. Buys, Trinidad Caldés, Maria A. Caligo, Carlo Capalbo, Ian Campbell, Wendy K. Chung, Kathleen B. M. Claes, Sarah V. Colonna, Laura Cortesi, Fergus J. Couch, Miguel de La Hoya, Orland Diez, Yuan Chun Ding, Susan Domchek, Douglas F. Easton, Bent Ejlertsen, Christoph Engel, D. Gareth Evans, Lidia Feliubadalò, Lenka Foretova, Florentia Fostira, Lajos Géczi, Anne-Marie Gerdes, Gord Glendon, Andrew K. Godwin, David E. Goldgar, Eric Hahnen, Frans B. L. Hogervorst, John L. Hopper, Peter J. Hulick, Claudine Isaacs, Angel Izquierdo, Paul A. James, Ramunas Janavicius, Uffe Birk Jensen, Esther M. John, Vijai Joseph, Irene Konstantopoulou, Allison W. Kurian, Ava Kwong, Elisabetta Landucci, Fabienne Lesueur, Jennifer T. Loud, Eva Machackova, Phuong L. Mai, Keivan Majidzadeh-A, Siranoush Manoukian, Marco Montagna, Lidia Moserle, Anna Marie Mulligan, Katherine L. Nathanson, Heli Nevanlinna, Joanne Ngeow Yuen Ye, Liene Nikitina-Zake, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Ana Osorio, Laura Papi, Sue K. Park, Inge Sokilde Pedersen, Pedro Perez-Segura, Annabeth H. Petersen, Pedro Pinto, Berardino Porfirio, Miquel Angel Pujana, Paolo Radice, Johanna Rantala, Muhammad U. Rashid, Barak Rosenzweig, Maria Rossing, Marta Santamariña, Rita K. Schmutzler, Leigha Senter, Jacques Simard, Christian F. Singer, Angela R. Solano, Melissa C. Southey, Linda Steele, Zoe Steinsnyder, Dominique Stoppa-Lyonnet, Yen Yen Tan, Manuel R. Teixeira, Soo H. Teo, Mary Beth Terry, Mads Thomassen, Amanda E. Toland, Sara Torres-Esquius, Nadine Tung, Christi J. van Asperen, Ana Vega, Alessandra Viel, Jeroen Vierstraete, Barbara Wappenschmidt, Jeffrey N. Weitzel, Greet Wieme, Sook-Yee Yoon, Kristin K. Zorn, Lesley McGuffog, Michael T. Parsons, Ute Hamann, Mark H. Greene, Judy A. Kirk, Susan L. Neuhausen, Timothy R. Rebbeck, Marc Tischkowitz, Georgia Chenevix-Trench, Antonis C. Antoniou, Eitan Friedman, Laura Ottini
Date Published: 2nd Jul 2020
Publication Type: Journal article
Human Diseases: hereditary breast ovarian cancer syndrome
DOI: 10.1001/jamaoncol.2020.2134
Citation: JAMA Oncol
Abstract (Expand)
Authors: Helian Feng, Alexander Gusev, Bogdan Pasaniuc, Lang Wu, Jirong Long, Zomoroda Abu-Full, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Antonis C. Antoniou, Adalgeir Arason, Volker Arndt, Kristan J. Aronson, Banu K. Arun, Ella Asseryanis, Paul L. Auer, Jacopo Azzollini, Judith Balmaña, Rosa B. Barkardottir, Daniel R. Barnes, Daniel Barrowdale, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Katarzyna Białkowska, Ana Blanco, Carl Blomqvist, Bram Boeckx, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Ake Borg, Hiltrud Brauch, Hermann Brenner, Ignacio Briceno, Annegien Broeks, Thomas Brüning, Barbara Burwinkel, Qiuyin Cai, Trinidad Caldés, Maria A. Caligo, Ian Campbell, Sander Canisius, Daniele Campa, Brian D. Carter, Jonathan Carter, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Hans Christiansen, Wendy K. Chung, Kathleen B. M. Claes, Christine L. Clarke, Fergus J. Couch, Angela Cox, Simon S. Cross, Cezary Cybulski, Kamila Czene, Mary B. Daly, Miguel de La Hoya, Kim de Leeneer, Joe Dennis, Peter Devilee, Orland Diez, Susan M. Domchek, Thilo Dörk, Isabel Dos-Santos-Silva, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, Bent Ejlertsen, Carolina Ellberg, Christoph Engel, Mikael Eriksson, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Florentia Fostira, Eitan Friedman, Lin Fritschi, Debra Frost, Marike Gabrielson, Patricia A. Ganz, Susan M. Gapstur, Judy Garber, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Graham G. Giles, Gord Glendon, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Mark H. Greene, Jacek Gronwald, Pascal Guénel, Christopher A. Haiman, Per Hall, Ute Hamann, Christopher Hake, Wei He, Jane Heyworth, Frans B. L. Hogervorst, Antoinette Hollestelle, Maartje J. Hooning, Robert N. Hoover, John L. Hopper, Guanmengqian Huang, Peter J. Hulick, Keith Humphreys, Evgeny N. Imyanitov, Claudine Isaacs, Milena Jakimovska, Anna Jakubowska, Paul James, Ramunas Janavicius, Rachel C. Jankowitz, Esther M. John, Nichola Johnson, Vijai Joseph, Audrey Jung, Beth Y. Karlan, Elza Khusnutdinova, Johanna I. Kiiski, Irene Konstantopoulou, Vessela N. Kristensen, Yael Laitman, Diether Lambrechts, Conxi Lazaro, Dominique Leroux, Goska Leslie, Jenny Lester, Fabienne Lesueur, Noralane Lindor, Sara Lindström, Wing-Yee Lo, Jennifer T. Loud, Jan Lubiński, Enes Makalic, Arto Mannermaa, Mehdi Manoochehri, Siranoush Manoukian, Sara Margolin, John W. M. Martens, Maria E. Martinez, Laura Matricardi, Tabea Maurer, Dimitrios Mavroudis, Lesley McGuffog, Alfons Meindl, Usha Menon, Kyriaki Michailidou, Pooja M. Kapoor, Austin Miller, Marco Montagna, Fernando Moreno, Lidia Moserle, Anna M. Mulligan, Taru A. Muranen, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Ines Nevelsteen, Finn C. Nielsen, Liene Nikitina-Zake, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Håkan Olsson, Ana Osorio, Janos Papp, Tjoung-Won Park-Simon, Michael T. Parsons, Inge S. Pedersen, Ana Peixoto, Paolo Peterlongo, Julian Peto, Paul D. P. Pharoah, Kelly-Anne Phillips, Dijana Plaseska-Karanfilska, Bruce Poppe, Nisha Pradhan, Karolina Prajzendanc, Nadege Presneau, Kevin Punie, Katri Pylkäs, Paolo Radice, Johanna Rantala, Muhammad Usman Rashid, Gad Rennert, Harvey A. Risch, Mark Robson, Atocha Romero, Emmanouil Saloustros, Dale P. Sandler, Catarina Santos, Elinor J. Sawyer, Marjanka K. Schmidt, Daniel F. Schmidt, Rita K. Schmutzler, Minouk J. Schoemaker, Rodney J. Scott, Priyanka Sharma, Xiao-Ou Shu, Jacques Simard, Christian F. Singer, Anne-Bine Skytte, Penny Soucy, Melissa C. Southey, John J. Spinelli, Amanda B. Spurdle, Jennifer Stone, Anthony J. Swerdlow, William J. Tapper, Jack A. Taylor, Manuel R. Teixeira, Mary Beth Terry, Alex Teulé, Mads Thomassen, Kathrin Thöne, Darcy L. Thull, Marc Tischkowitz, Amanda E. Toland, Rob A. E. M. Tollenaar, Diana Torres, Thérèse Truong, Nadine Tung, Celine M. Vachon, Christi J. van Asperen, Ans M. W. van den Ouweland, Elizabeth J. van Rensburg, Ana Vega, Alessandra Viel, Paula Vieiro-Balo, Qin Wang, Barbara Wappenschmidt, Clarice R. Weinberg, Jeffrey N. Weitzel, Camilla Wendt, Robert Winqvist, Xiaohong R. Yang, Drakoulis Yannoukakos, Argyrios Ziogas, Roger L. Milne, Douglas F. Easton, Georgia Chenevix-Trench, Wei Zheng, Peter Kraft, Xia Jiang
DOI: 10.1002/gepi.22288
Citation: Genet. Epidemiol. 44(5):442-468
Abstract (Expand)
Authors: A. Frenzel, H. Binder, N. Walter, K. Wirkner, M. Loeffler, H. Loeffler-Wirth
Date Published: 29th Mar 2020
Publication Type: Not specified
PubMed ID: 32218988
Citation: NPJ Aging Mech Dis. 2020 Mar 24;6:5. doi: 10.1038/s41514-020-0043-9. eCollection 2020.
Abstract (Expand)
Authors: Xin Yang, Goska Leslie, Alicja Doroszuk, Sandra Schneider, Jamie Allen, Brennan Decker, Alison M. Dunning, James Redman, James Scarth, Inga Plaskocinska, Craig Luccarini, Mitul Shah, Karen Pooley, Leila Dorling, Andrew Lee, Muriel A. Adank, Julian Adlard, Kristiina Aittomäki, Irene L. Andrulis, Peter Ang, Julian Barwell, Jonine L. Bernstein, Kristie Bobolis, Åke Borg, Carl Blomqvist, Kathleen B. M. Claes, Patrick Concannon, Adeline Cuggia, Julie O. Culver, Francesca Damiola, Antoine de Pauw, Orland Diez, Jill S. Dolinsky, Susan M. Domchek, Christoph Engel, D. Gareth Evans, Florentia Fostira, Judy Garber, Lisa Golmard, Ellen L. Goode, Stephen B. Gruber, Eric Hahnen, Christopher Hake, Tuomas Heikkinen, Judith E. Hurley, Ramunas Janavicius, Zdenek Kleibl, Petra Kleiblova, Irene Konstantopoulou, Anders Kvist, Holly Laduca, Ann S. G. Lee, Fabienne Lesueur, Eamonn R. Maher, Arto Mannermaa, Siranoush Manoukian, Rachel McFarland, Wendy McKinnon, Alfons Meindl, Kelly Metcalfe, Nur Aishah Mohd Taib, Jukka Moilanen, Katherine L. Nathanson, Susan Neuhausen, Pei Sze Ng, Tu Nguyen-Dumont, Sarah M. Nielsen, Florian Obermair, Kenneth Offit, Olufunmilayo I. Olopade, Laura Ottini, Judith Penkert, Katri Pylkäs, Paolo Radice, Susan J. Ramus, Vilius Rudaitis, Lucy Side, Rachel Silva-Smith, Valentina Silvestri, Anne-Bine Skytte, Thomas Slavin, Jana Soukupova, Carlo Tondini, Alison H. Trainer, Gary Unzeitig, Lydia Usha, Thomas van Overeem Hansen, James Whitworth, Marie Wood, Cheng Har Yip, Sook-Yee Yoon, Amal Yussuf, George Zogopoulos, David Goldgar, John L. Hopper, Georgia Chenevix-Trench, Paul Pharoah, Sophia H. L. George, Judith Balmaña, Claude Houdayer, Paul James, Zaki El-Haffaf, Hans Ehrencrona, Marketa Janatova, Paolo Peterlongo, Heli Nevanlinna, Rita Schmutzler, Soo-Hwang Teo, Mark Robson, Tuya Pal, Fergus Couch, Jeffrey N. Weitzel, Aaron Elliott, Melissa Southey, Robert Winqvist, Douglas F. Easton, William D. Foulkes, Antonis C. Antoniou, Marc Tischkowitz
Date Published: 1st Mar 2020
Publication Type: Journal article
Human Diseases: hereditary breast ovarian cancer syndrome
DOI: 10.1200/JCO.19.01907
Citation: JCO 38(7):674-685
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: LIFE-Adult EPIC data
Investigations: OMICS Investigations
Studies: GWAS Body Scanner Measures
Resources: Summary Statistics
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: LIFE-Adult EPIC data
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: Gene Expression data
Investigations: Efficacy of Volume Substitution and Insulin The...
Studies: VISEP
Resources: VISEP trial data
BACKGROUND: The Generalized Anxiety Disorder Scales GAD-7 and GAD-2 are instruments for the assessment of anxiety. The aims of this study are to test psychometric properties of these questionnaires, to provide normative values, and to investigate associations with sociodemographic factors, quality of life, psychological variables, and behavioral factors. METHODS: A German community sample (n=9721) with an age range of 18-80 years was surveyed using the GAD-7 and several other questionnaires. ...
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
BACKGROUND: The Pittsburgh Sleep Quality Index (PSQI) is frequently used to assess sleep problems in patients. The aim of this study was to provide reference values for this questionnaire, to test psychometric properties, and to analyze associations with psychological, sociodemographic, and behavioral factors. METHODS: A German community sample comprising 9284 adult residents (aged 18-80 years) was surveyed using the PSQI and several other questionnaires. RESULTS: According to the generally ...
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Background/Objective: The Life Orientation Test-Revised (LOT-R) is often used to assess dispositional optimism. The aims of this study were to test psychometric properties of the LOT-R, to provide normative scores, and to test the association between optimism and several psychological, sociodemographic, and behavioral factors. Method: A randomly selected German general population community sample with an age range of 18-80 years (N = 9,711) was surveyed. Results: The Confirmatory Factor Analysis ...
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The goal of this study was to investigate to what extent body mass index (BMI), body height, body weight, breast-to-abdomen-ratio, testosterone, estradiol, dehydroepiandrosterone-sulfate (DHEA-S), folliclestimulating hormone, and luteinizing hormone are associated with the sound pressure level and the fundamental frequency of the speaking voice in a cross-sectional approach among adults in the general population.
Data for Publication: Jost L, et al; J Voice. 2017 Jul 21. pii: S0892-1997(17)30216-3. ...
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The 'Future 10-year risks calculator' is a tool designed to help determine the optimal timing for follow-up counseling based on the cumulative breast cancer risks provided in the CanRisk-Report created by the CanRisk website as a result of the BOADICEA risk assessment. It is not a replacement for the BOADICEA model, nor is it intended for medical diagnosis, treatment decisions, or the monitoring of health conditions. The risk estimation assumes that the individual's and family's risk profile ...
Creators: Christoph Engel, Silke Zachariae
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: breast cancer
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Large scale epidemiological studies, such as LIFE-ADULT, including thousands of participants with a multitude of novel QT assessments allow to define reference values. Reference values are typically used in quality control to find outliers in a specified data volume or to evaluate a given measurement value regarding its pathologic value. Measuring the hand grip strength is a standard assessment in LIFE, for which is no or little prior knowledge regarding reference values available.
Based on the ...
Creator: Toralf Kirsten
Submitter: René Hänsel
Model type: Not specified
Model format: R package
Environment: Not specified
Organism: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
This package should simplify the translation of the classifications reported in Wichmann et al. 2015 to other data sets of head and neck cancers.
Classification of head and neck tumor samples into HPV-positive and negative samples based on their gene expression. Classification of the samples into molecular subgroups reported in Wichmann et al. 2015
Creator: Maciej Rosolowski
Submitter: René Hänsel
Model type: Not specified
Model format: R package
Environment: Not specified
Organism: Not specified
Human Disease: head and neck cancer
Investigations: head and neck squamous cell carcinomas
Studies: HNSCC
Resources: 1 hidden item
Emerging health geography research analyzes and visualizes health behaviors and outcomes in relation to urban environmental data and related official statistics to produce “health reports” for specific areas. This can be extended to developments in urban planning, e.g., to identify districts or neighborhoods for social investments or restrictions.
We mapped anthropometric data the large LIFE Adult population (10,000 participants) onto the Leipzig map. In particular, we derived the body mass index ...
Creator: Ying-Chi Lin
Submitter: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Not specified
Human Disease: obesity
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
All studies and research projects those data are hosted by the Leipzig Health Atlas should follow the FAIR standard. Thus, data are findable, accessible, interoperable, and reusable. To follow the FAIR standard, all data need to be described by rich metadata, on the technical and semantical level. These metadata can then be used to query and search for data elements in a single study or over all studies.
We provide the LHA data portal allowing to searching and accessing data elements in single ...
Creator: Toralf Kirsten
Submitter: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Emerging health geography research analyzes and visualizes health behaviors and outcomes in relation to urban environmental data and related official statistics to produce “health reports” for specific areas.
We mapped measured hand grip data of the large LIFE Adult population (10,000 participants) onto the Leipzig map. In particular, we locate each participant at the time of participation in Leipzig and, thus, can derive hand grip strength averages (incl. mean, median) per specific city districts. ...
Creator: Toralf Kirsten
Submitter: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Creator: Thomas Peschel
Submitter: Thomas Peschel
Model type: Not specified
Model format: R package
Environment: Not specified
Organism: Not specified
Human Disease: eye disease
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The LHA Body typer is an interactive app that enables interested users to determine their body type by manual measuring of few body lengths and girths. Additionally, data derived from body scanner devices can be uploaded for automatic body type annotation with regard to the body shapes identified in the Leipzig population.
Creator: Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Depending on the calculated mutation probability genetic counsellors can decide whether patients should undergo further analysis of microsatellite instability and immunohistochemistry. The model is recommended for patients with an age at colorectal cancer diagnosis of 55 or younger.
"MMRpredict" is a risk prediction model for patients with colorectal cancer (Barnetson et al. 2006). It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (overall probability) ...
Creators: Christoph Engel, Silke Zachariae
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: colorectal cancer
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The PREMM1,2,6 has been developed as a pretest to decide whether patients suspected of having Lynch syndrome should be tested for germline mismatch repair gene mutations. "PREMM1,2,6" is a logistic regression model. It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (for single genes and overall) based on the personal and familial cancer history of the proband (colorectal, endometrial, and other Lynch syndrome related cancers).
Creators: Silke Zachariae, Christoph Engel, Kastrinos et al.
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: hereditary breast ovarian cancer syndrome
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Creator: Katrin Horn
Submitter: Katrin Horn
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Creator: Katrin Horn
Submitter: Katrin Horn
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: LIFE-Adult EPIC data
Creator: Katrin Horn
Submitter: Katrin Horn
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: Gene Expression data
Creator: Katrin Horn
Submitter: Katrin Horn
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: Gene Expression data
Creator: Maciej Rosolowski
Submitter: René Hänsel
Investigations: head and neck squamous cell carcinomas
Studies: HNSCC
Resources: HNSCC Clinical Dataset
Diabetes screening strategies using glycated haemoglobin (HbA1c) as first-instance diagnostic parameter may cause failure to detect individuals with abnormal glucose regulation and possible signs of microvascular complications despite “rule-out” HbA1c levels. This cross-sectional study examined the diagnostic performance of HbA1c in relation to fasting and two-hour postload plasma glucose (FPG/2 h-PG), and investigated whether individuals with normal HbA1c but abnormal FPG/2 h-PG have a higher ...
Creator: Christoph Engel
Submitter: René Hänsel
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Supplement Data for Publication including Supplement Material & Results (eQTL annotation, Mendelian Randomization (MR), further significant loci), Figures (correlation plot of steroid hormones, scatter plot of genetic effect sizes, regional association plots, scatter plots of MR) and Tables (Correlations, GWAS summary statistics, interaction tests, MR results)
Creator: Janne Pott
Submitter: René Hänsel
Projects: LHA - Leipzig Health Atlas, Onto-Med Research Group, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, LIFE Child, LIFE - Leipzig Research Center for Civilization Diseases, Project Test Demonstrator
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Universitätsklinikum Leipzig, AöR, invalid
https://orcid.org/0000-0002-1166-0368Expertise: data integration, ruby, r, java, perl
Profile image source: Swen Reichhold
Projects: LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0002-7247-282XExpertise: hereditary cancer, biometry, epidemiology
Projects: LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases
Institutions: University of Leipzig
Projects: LIFE - Leipzig Research Center for Civilization Diseases
Institutions: Max-Planck-Institut für Kognitions- und Neurowissenschaften
Max-Planck-Institut für Kognitions- und Neurowissenschaften Stephanstraße 1a 04103 Leipzig
Start Date: 30th Jan 2020
End Date: 30th Jan 2020
Event Website: https://conference.uni-leipzig.de/researchfestival/
Country: Germany
City: Leipzig
Start Date: 6th Mar 2019
End Date: 8th Mar 2019
Event Website: https://www.gfhev.de/de/kongress/index.htm
Country: Germany
City: Weimar
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_3883
Synonyms: Hereditary Defective Mismatch Repair syndrome, COCA 1, HNPCC - hereditary nonpolyposis colon cancer, hereditary nonpolyposis colorectal neoplasm, hereditary non-polyposis colon cancer type 1, hereditary nonpolyposis colorectal cancer
Definitions: An autosomal dominant disease that is characterized by an increased risk for colon cancer and cancers of the endometrium, ovary, stomach, small intestine, hepatobiliary tract, urinary tract, brain, and skin and has_material_basis_in mutation of mismatch repair genes that increases the risk of many types of cancers., OMIM mapping confirmed by DO. [SN].
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_0050117
Synonyms: infectious disease
Definitions: A disease that is the consequence of the presence of pathogenic microbial agents, including pathogenic viruses, pathogenic bacteria, fungi, protozoa, multicellular parasites, and aberrant proteins known as prions.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_11934
Synonyms: head and neck tumours, head and neck neoplasm, tumor of head and neck (disorder), head/neck neoplasm
Definitions: An organ system cancer that arises in the head or neck region. This region includes the nasal cavity, sinuses, lips, mouth, salivary glands, throat, or larynx.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_9970
Definitions: OMIM mapping confirmed by DO. [SN].
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_3393
Synonyms: Coronary disease, coronary heart disease, CHD (coronary heart disease), coronary arteriosclerosis
Definitions: Xref MGI., An artery disease that is characterized by plaque building up along the inner walls of the arteries of the heart resulting in a narrowing of the arteries and a reduced blood supply to the cardiac muscles.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_1307
Definitions: A cognitive disorder resulting from a loss of brain function affecting memory, thinking, language, judgement and behavior.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_0014667
Synonyms: metabolic disease
Definitions: A disease that involving errors in metabolic processes of building or degradation of molecules.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_3324
Synonyms: episodic mood disorder
Definitions: Updating outdated UMLS CUI., A cognitive disorder that involves an excessive, irrational dread of everyday situations.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_150
Definitions: A disease that involves a psychological or behavioral pattern generally associated with subjective distress or disability that occurs in an individual, and which are not a part of normal development or culture.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_1287
Synonyms: disease of subdivision of hemolymphoid system
Definitions: A disease of anatomical entity which occurs in the blood, heart, blood vessels or the lymphatic system that passes nutrients (such as amino acids and electrolytes), gases, hormones, blood cells or lymph to and from cells in the body to help fight diseases and help stabilize body temperature and pH to maintain homeostasis.