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Table des matières
  1. 1. Klinische Studie
  2. 2. Routinedokumentation
  3. 3. Register-/Kohortenstudien
  4. 4. Qualitätssicherung
  5. 5. Datenstandard
  6. 6. Patientenfragebogen
  7. 7. Medizinische Fachrichtung
    1. 7.1. Anästhesie
    1. 7.2. Dermatologie
    1. 7.3. HNO
    1. 7.4. Geriatrie
    1. 7.5. Gynäkologie/Geburtshilfe
    1. 7.6. Innere Medizin
      1. Hämatologie
      1. Infektiologie
      1. Kardiologie/Angiologie
      1. Pneumologie
      1. Gastroenterologie
      1. Nephrologie
      1. Endokrinologie/Stoffwechsel
      1. Rheumatologie
    1. 7.7. Neurologie
    1. 7.8. Augenheilkunde
    1. 7.9. Palliativmedizin
    1. 7.10. Pathologie/Rechtsmedizin
    1. 7.11. Kinderheilkunde
    1. 7.12. Psychiatrie/Psychosomatik
    1. 7.13. Radiologie
    1. 7.14. Chirurgie
      1. Allgemein-/Viszeralchirurgie
      1. Neurochirurgie
      1. Plastische Chirurgie
      1. Herz-/Thoraxchirurgie
      1. Unfallchirurgie/Orthopädie
      1. Gefäßchirurgie
    1. 7.15. Urologie
    1. 7.16. Zahnmedizin/MKG
Modèles de données sélectionnés

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- 27.11.24 - 5 Formulaires, 1 Groupe Item, 1 Élément de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: Theodora S. Ross, MD, PhD, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA, and Department of Cancer Genetics, UT Southwestern Medical Center, Dallas, TX, USA MeSH: Neoplasms,Breast Neoplasms,Ovarian Neoplasms,Peritoneal Neoplasms,Skin Neoplasms,Esophageal Neoplasms,Thyroid Neoplasms,Urinary Bladder Neoplasms,Endometrial Neoplasms,Fallopian Tube Neoplasms,Melanoma,Testicular Neoplasms,Bile Duct Neoplasms,Lung Neoplasms,Colonic Neoplasms,Adrenocortical Carcinoma,Carcinoma, Renal Cell,Colonic Polyps,Adenomatous Polyposis Coli,Lymphoma, Large B-Cell, Diffuse,Pheochromocytoma,Paraganglioma,Leiomyoma,Hemangioblastoma,Hyperparathyroidism,Pancreatic Neoplasms,Vulvar Neoplasms,Brain Neoplasms,Liver Neoplasms,Kidney Neoplasms,Prostatic Neoplasms,Glioblastoma,Oncocytoma, renal https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000942 Despite the potential of whole-genome sequencing (WGS) to improve patient diagnosis and care, the empirical value of WGS in the cancer genetics clinic is unknown. We performed WGS on members of two cohorts of cancer genetics patients: those with BRCA1/2 mutations (n = 176) and those without (n = 82). Initial analysis of potentially pathogenic variants (PPVs, defined as nonsynonymous variants with allele frequency 1% in ESP6500) in 163 clinically-relevant genes suggested that WGS will provide useful clinical results. This is despite the fact that a majority of PPVs were novel missense variants likely to be classified as variants of unknown significance (VUS). Furthermore, previously reported pathogenic missense variants did not always associate with their predicted diseases in our patients. This suggests that the clinical use of WGS will require large-scale efforts to consolidate WGS and patient data to improve accuracy of interpretation of rare variants. While loss-of-function (LoF) variants represented only a small fraction of PPVs, WGS identified additional cancer risk LoF PPVs in patients with known BRCA1/2 mutations and led to cancer risk diagnoses in 21% of non-BRCA cancer genetics patients after expanding our analysis to 3209 ClinVar genes. These data illustrate how WGS can be used to improve our ability to discover patients' cancer genetic risks. "Reprinted from doi:10.1016/j.ebiom.2014.12.003, with permission from EBioMedicine."

pht004834.v1.p1

1 Groupe Item 5 Eléments de données

pht004835.v1.p1

1 Groupe Item 5 Eléments de données

pht004836.v1.p1

1 Groupe Item 16 Eléments de données

pht004837.v1.p1

1 Groupe Item 5 Eléments de données
- 20.09.21 - 1 Formulaire, 2 Groupes Item, 21 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria
- 23.06.23 - 4 Formulaires, 1 Groupe Item, 3 Eléments de données, 1 Langue
Groupe Item: pht006108
Principal Investigator: Levi Garraway, Dana Farber Cancer Institute, Boston, MA, USA MeSH: Neoplasms,Colonic Neoplasms,Lung Neoplasms,Adenocarcinoma of lung https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001075 The overall goal of the CanSeq U01 project is to study the impact of whole-exome sequencing (WES) on the clinical care of cancer patients and oncology provider practices. The aims of Project 1 are to implement and establish the feasibility of germline and somatic WES in patients with advanced solid tumors (lung and colon); to develop a framework for interpreting and reporting for exome sequencing data; to determine the proportion of patients with "actionable items" compared to existing technologies; and to report on the percentage of patients in whom unique WES findings led to a clinical action. The aims of Project 2 are to implement a production-scale platform for WES from archival (FFPE) material; to identify biologically relevant somatic and germline alterations existing in tumor/normal DNA from individual patients; to produce an evidence-based list of clinically "actionable" genetic alterations; and to develop inferential models that predict the utility of tumor genomic data within the larger clinical context. The goals of Project 3 are to describe the impact of information derived through WES on cancer patients; to test the hypothesis that patients will want to receive information about all potentially informative somatic and germline variants; to study patients' understanding of disclosed genomic information; and to describe the experiences of oncology providers as they implement WES into cancer care delivery.

pht006109.v1.p1

1 Groupe Item 3 Eléments de données

pht006111.v1.p1

1 Groupe Item 3 Eléments de données

pht006110.v1.p1

1 Groupe Item 2 Eléments de données
- 16.04.14 - 1 Formulaire, 2 Groupes Item, 11 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria
- 04.03.24 - 5 Formulaires, 1 Groupe Item, 8 Eléments de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: James P. Evans, MD, PhD, University of North Carolina, Chapel Hill, NC, USA MeSH: Genetic Diseases, Inborn,Neoplasms,Adenomatous Polyposis Coli,Microcephaly,Aortic Aneurysm, Thoracic,Peripheral Nervous System Diseases,Cardiomyopathies,Leukodystrophy, Globoid Cell,Seizures,Mitochondria,Inflammation,Autoimmune Diseases,Progeria,Retina,Muscular Diseases,Rhabdomyolysis,Arrhythmias, Cardiac,Osteochondrodysplasias,Intellectual disability,Autistic Disorder,Neuromuscular Diseases,Paraplegia,Central Nervous System Diseases,Cholestasis,Anemia,Genetic Testing https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000827 North Carolina Clinical Genomic Evaluation by Next-generation Exome Sequencing This study is part of a larger consortium project investigating the validity and best use of next-generation sequencing (in particular, whole exome sequencing, or WES) in clinical care. Participants are patients who were either seen in the UNC Cancer and Adult Genetics Clinic or referred to the study by their physician. They will be approached by their physician or a genetic counselor for recruitment. Once enrolled, a clinical geneticist or genetic counselor will obtain consent and collect blood samples to be analyzed using WES. Results may include information related to a diagnosis and incidental information. Medically actionable incidental findings will be CLIA-certified and returned to participants in a routine genetic counseling session, along with diagnostic findings. Eligible adult participants will be randomized to have the opportunity to choose to get certain types of non-medically actionable incidental findings, as well. Their decisions will be investigated, as will psychosocial and behavioral responses to sequencing and receiving sequencing information. This is a longitudinal, mixed methods study (i.e., multiple assessments pre- and post-return of results, with both quantitative and qualitative methods used to gather data). Because only the quantitative component of the study uses randomization, only measures and procedures associated with that component are included here. The third study release includes data of additional n=189 subjects.

pht004472.v3.p1

1 Groupe Item 7 Eléments de données

pht004469.v3.p1

1 Groupe Item 5 Eléments de données

pht004470.v3.p1

1 Groupe Item 5 Eléments de données

pht004471.v3.p1

1 Groupe Item 7 Eléments de données
- 13.03.23 - 3 Formulaires, 1 Groupe Item, 9 Eléments de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: MeSH: Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001287 Recently, significant progress has been made in characterizing and sequencing the genomic alterations in statistically robust numbers of samples from several types of cancer. For example, The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC) and other similar efforts are identifying genomic alterations associated with specific cancers (e.g., copy number aberrations, rearrangements, point mutations, epigenomic changes, etc.) The availability of these multi-dimensional data to the scientific community sets the stage for the development of new molecularly targeted cancer interventions. Understanding the comprehensive functional changes in cancer proteomes arising from genomic alterations and other factors is the next logical step in the development of high-value candidate protein biomarkers. Hence, proteomics can greatly advance the understanding of molecular mechanisms of disease pathology via the analysis of changes in protein expression, their modifications and variations, as well as protein=protein interaction, signaling pathways and networks responsible for cellular functions such as apoptosis and oncogenesis. Realizing this great potential, the NCI launched the third phase of the CPTC initiative in September 2016. As the Clinical Proteomic Tumor Analysis Consortium, CPTAC continues to define cancer proteomes on genomically-characterized biospecimens. The purpose of this integrative approach was to provide the broad scientific community with knowledge that links genotype to proteotype and ultimately phenotype. In this third phase of CPTAC, the program aims to expand on CPTAC II and genomically and proteomically characterize over 2000 samples from 10 cancer types (Lung Adenocarcinoma, Pancreatic Ductal Adenocarcinoma, Glioblastoma Multiforme, Acute Myeloid Leukemia, Clear cell renal Carcinoma, Head and Neck Squamous Cell Carcinoma, Cutaneous Melanoma, Sarcoma, Lung Squamous Cell Carcinoma, Uterine Corpus Endometrial Carcinoma) .Germline DNA is obtained from blood and Normal control samples for proteomics varied by organ site. All cancer samples were derived from primary and untreated tumor.

pht006104.v9.p5

1 Groupe Item 3 Eléments de données

pht006105.v9.p5

1 Groupe Item 3 Eléments de données
- 13.12.22 - 5 Formulaires, 1 Groupe Item, 7 Eléments de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: Isaac S. Kohane, MD, PhD, Boston Children's Hospital, Boston, MA, USA MeSH: Autistic Disorder,Heart Defects, Congenital,Asthma,Attention Deficit Disorders,Diabetes Mellitus, Type 1,Diabetes Mellitus, Type 2,Epilepsy,Gastrointestinal Diseases,Hypersensitivity,Autoimmune Diseases,Hematologic Diseases,Neoplasms,Arrhythmias, Cardiac,Chromosome Aberrations,Congenital Abnormalities,Dermatology,Developmental Disabilities,Endocrine System,Otolaryngology,Syndrome,Urogenital System,Hearing Loss,Immune System Diseases,Musculoskeletal Abnormalities,Nervous System Diseases,Neuromuscular Diseases,Metabolic Diseases,Nutrition Disorders,Vision Disorders,Mouth Diseases,Mental Disorders,Kidney Diseases,Respiration Disorders,Thyroid Diseases,Vascular Diseases https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000495 The Gene Partnership (TGP) is a prospective longitudinal registry at Boston Children's Hospital (BCH) to study the genetic and environmental contributions to childhood health and disease, collect genetic information on a large number of children who have been phenotyped, and implement the Informed Cohort and the Informed Cohort Oversight Board (ICOB). The term "*The Gene Partnership*" reflects a partnership between researchers and participants. Children seen at BCH are offered enrollment, as are their parents and siblings. DNA is collected on all enrollees. BCH has a comprehensive EMR system, and virtually all inpatient and outpatient data are captured electronically. Clinical data in the BCH EMR is loaded in the i2b2 data warehouse which is available to investigators. Cases, phenotypes, and covariates are ascertained using the i2b2 database. Participants at BCH in TGP have consented to receive any research result and/or incidental finding that arises from studies using TGP that is approved by the Informed Cohort Oversight Board (ICOB) and is in accordance with the participants' preferences; results are returned through the Personally Controlled Health Record (PCHR). BCH and Cincinnati Children's Hospital Medical Center (CCHMC) have partnered as the *P*ediatric *A*lliance for *G*enomic and *E*lectronic Medical Record (EMR) *R*esearch (*PAGER*) site for the eMERGE Phase II network for pediatric institutions, and the cohort for eMERGE at BCH is TGP.

pht002864.v1.p1

1 Groupe Item 4 Eléments de données

pht002865.v1.p1

1 Groupe Item 5 Eléments de données

pht002866.v1.p1

1 Groupe Item 42 Eléments de données

pht002867.v1.p1

1 Groupe Item 4 Eléments de données
- 12.12.22 - 5 Formulaires, 1 Groupe Item, 20 Eléments de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: Dana Crawford, PhD, Vanderbilt University, Nashville, TN, USA MeSH: Neoplasms,Breast Neoplasms,Colorectal Neoplasms,Endometrial Neoplasms,Lung Neoplasms,Lymphoma, Non-Hodgkin,Ovarian Neoplasms,Melanoma,Prostatic Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000559 As part of Population Architecture using Genomics and Epidemiology PAGE study (Phase I), the Epidemiologic Architecture using Genomics and Epidemiology (EAGLE I) project accessed both epidemiologic- and clinic-based collections. The epidemiologic-based collection of EAGLE I included the National Health and Nutritional Examination Surveys (NHANES), ascertained between 1991-1994 (NHANES III), 1999-2002, and 2007-2008. NHANES is a population-based cross-sectional survey now conducted every year in the United States to assess the health status of Americans at the time of ascertainment and to assess trends over the years of survey. Genetic NHANES consists of 19,613 DNA samples linked to thousands of variables including demographics, health and lifestyle variables, physical examination variables, laboratory variables, and exposures. NHANES is diverse with almost one-half of the samples (46.4%) coming from self-reported Mexican Americans and non-Hispanic blacks. In contrast to NHANES, BioVU is a clinic-based collection of 150,000 DNA samples from Vanderbilt University Medical Center linked to de-identified electronic medical records (EMRs). Approximately 12% of BioVU's overall DNA sample collection is from African American, Hispanic, and Asian patients. The overall goals of PAGE I and EAGLE I were broad and several-fold:- Replicate genome-wide association study (GWAS)- identified variants in European Americans; - Identify population-specific and trans-population genotype-phenotype associations; - Identify genetic and environmental modifiers of these associations. NHANES is an excellent resource for the study of quantitative traits associated with common human diseases. However, given that the age range of NHANES spans childhood to late adulthood and not all diseases are surveyed, NHANES is less useful for the study of adult-onset diseases such as major cancers. Therefore, under American Recovery and Reinvestment Act (ARRA) funding, EAGLE as part of PAGE I defined eight major cancers sites for genetic analysis in BioVU, Vanderbilt's biorepository linked to de-identified EMRs. The eight major cancers defined for this study included melanoma, breast, ovarian, prostate, colorectal, lung, endometrial, and Non-Hodgkin's lymphoma (NHL). Cancer cases were defined using a combination of ICD-9 codes and tumor registry entries. Controls include BioVU participants without cancer and encompassing the age and gender distributions of cancer cases. Targeted genotyping of GWAS-identified variants for these diseases (124 SNPs) and ancestry informative markers (128 AIMs) was performed by the Center for Human Genetics Research Vanderbilt DNA Resources Core. After quality control, a total of 116 cancer-associated SNPs and 122 AIMs were available for downstream analyses.

pht003614.v1.p1

1 Groupe Item 2 Eléments de données

pht003615.v1.p1

1 Groupe Item 3 Eléments de données

pht003616.v1.p1

1 Groupe Item 58 Eléments de données

pht003617.v1.p1

1 Groupe Item 5 Eléments de données

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