Keywords
Pulmonary Disease, Chronic Obstructive ×
Show more Keywords
Table of contents
  1. 1. Clinical Trial
  2. 2. Routine Documentation
  3. 3. Registry/Cohort Study
  4. 4. Quality Assurance
  5. 5. Data Standard
  6. 6. Patient-Reported Outcome
  7. 7. Medical Specialty
Selected data models

You must log in to select data models for download or further analysis.

- 11/27/24 - 5 forms, 2 itemgroups, 11 items, 1 language
Itemgroups: IG.0, IG.5

pht004972.v3.p1

1 itemgroup 2 items

pht004973.v3.p1

1 itemgroup 2 items

pht004974.v2.p1

1 itemgroup 9 items

pht005719.v2.p1

1 itemgroup 15 items
- 1/30/24 - 4 forms, 1 itemgroup, 3 items, 1 language
Itemgroup: pht005050
Principal Investigator: James D. Crapo, National Jewish Health, Denver, CO, USA MeSH: Pulmonary Disease, Chronic Obstructive,Emphysema https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000951 Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death in the United States, and the only leading cause of death that is steadily increasing in frequency. This project established a racially diverse cohort that is sufficiently large and appropriately designed for genome-wide association analysis of COPD. A total of 10,720 subjects were recruited, including control smokers and nonsmokers, definite COPD cases (GOLD Stage 2 to 4), and subjects not included in either group (GOLD 1 and PRISm). This cohort is being used for cross-sectional analysis, and long-term longitudinal follow-up visits after five years and after ten years are also being performed. The primary focus of the study is to identify the genetic risk factors that determine susceptibility for COPD and COPD-related phenotypes. Detailed phenotyping of both cases and controls, including chest CT scan assessment of emphysema and airway disease, will allow identification of genetic determinants for the heterogeneous components of the COPD syndrome. The aims for this study are: - Precise phenotypic characterization of COPD subjects using computed tomography, as well as clinical and physiological measures, that will provide data to enable the broad COPD syndrome to be decomposed into clinically significant subtype; - Genome-wide association studies will identify genetic determinants for COPD susceptibility that will provide insight into clinically relevant COPD subtypes; - Distinct genetic determinants influence the development of emphysema and airway disease. The TOPMed analysis will include approximately 10,500 subjects with whole genome sequencing after quality control is completed. Comprehensive phenotypic data for COPDGene subjects is available through dbGaP study phs000179.

pht005051.v5.p5

1 itemgroup 2 items

pht005052.v5.p5

1 itemgroup 10 items

Eligibility

1 itemgroup 47 items
- 12/1/23 - 4 forms, 1 itemgroup, 1 item, 1 language
Itemgroup: IG.elig
Principal Investigator: Vasan Ramachandran, Department of Medicine, Boston University School of Medicine, Boston, MA, USA MeSH: Cardiovascular Diseases,Atherosclerosis,Atrial Fibrillation,Death, Sudden, Cardiac,Diabetes Mellitus, Type 2,Heart Failure,Blood Pressure,Hypertension,Body Mass Index,Adiposity,Lipids,Pulmonary Disease, Chronic Obstructive,Renal Insufficiency, Chronic,Stroke,Osteoporosis,Risk Factors,Biological Markers,Biomarkers, Pharmacological https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000974 The Framingham Heart Study (FHS) is a prospective cohort study of 3 generations of subjects who have been followed up to 65 years to evaluate risk factors for cardiovascular disease. Its large sample of ~15,000 men and women who have been extensively phenotyped with repeated examinations make it ideal for the study of genetic associations with cardiovascular disease risk factors and outcomes. DNA samples have been collected and immortalized since the mid-1990s and are available on ~8000 study participants in 1037 families. These samples have been used for collection of GWAS array data and exome chip data in nearly all with DNA samples, and for targeted sequencing, deep exome sequencing and light coverage whole genome sequencing in limited numbers. Additionally, mRNA and miRNA expression data, DNA methylation data, metabolomics and other 'omics data are available on a sizable portion of study participants. This project will focus on deep whole genome sequencing (mean 30X coverage) in ~4100 subjects and imputed to all with GWAS array data to more fully understand the genetic contributions to cardiovascular, lung, blood and sleep disorders. Comprehensive phenotypic and pedigree data for study participants are available through dbGaP phs000007.

pht004909.v3.p3

1 itemgroup 2 items

pht004910.v4.p3

1 itemgroup 2 items

pht004911.v3.p3

1 itemgroup 9 items
- 1/9/23 - 5 forms, 1 itemgroup, 1 item, 1 language
Itemgroup: IG.elig
Principal Investigator: David Schwartz, MD, University of Colorado, Denver, USA MeSH: Pulmonary Disease, Chronic Obstructive,Lung Diseases, Interstitial,Pulmonary Emphysema https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000624 Chronic lung diseases represent a broad spectrum of chronic fibrosing/inflammatory lung conditions that are for the most part poorly responsive to treatment and often fatal. COPD/emphysema is the fourth leading cause of death in the United States and the incidence and rate of death from pulmonary fibrosis is increasing each year. Although progress has been made in interpretation of the clinical, radiological, and pathological features of chronic lung disorders, and progress in determining the pathobiology continues, the causes, biologic mechanisms, and therapeutic options remain obscure. Moreover, predicting individuals or populations at risk for developing any of these complex diseases, at present, is not possible. To address this challenge, we plan to create a genetic, molecular, and quantitative clinical phenotyping data warehouse with bioinformatic tools that will empower investigators to make fundamental discoveries in disease pathogenesis, refine diagnostic criteria, and lead to real gains in personalized medicine. The composite genetic, genomic, and epigenetic signature combined with quantitative clinical phenotypes has the potential to characterize the dynamic biological state of a complex disease and complement existing diagnostic approaches that are reliant on traditional clinical measures of disease. In the proposed project, we plan to extend the scope and impact of the NHLBI Lung Tissue Research Consortium (LTRC) biorepository by creating the Lung Genomics Research Consortium (LGRC), a comprehensive genetic, molecular, and quantitative clinical phenotyping warehouse. *Our overall hypothesis is that a genetic, molecular, and quantitative clinical phenotyping warehouse combined with a rich clinical database will enable the lung research community to make fundamental discoveries in disease pathogenesis, refine diagnostic criteria, and lead to real gains in personalized medicine.* We plan to pursue this hypothesis through the following aims. *Specific Aim 1: *Establish a genetic, genomic, and epigenetic molecular library to complement the existing clinical database in the LTRC. *Specific Aim 2: *Develop a quantitative clinical phenotyping platform using existing LTRC data, as well as an enhanced data set including novel quantitative CT and histology imaging analyses. *Specific Aim 3: *Establish a publicly-accessible database that would integrate the genetic, molecular, and quantitative phenotyping data with the existing clinical data in the LTRC and provide query and data exploration tools that are easily accessible to the lung research community. These discoveries will enable clinicians to- Identify individuals at risk of developing chronic lung diseases; - Diagnose these conditions earlier; - Identify novel mechanisms that cause these diseases; - Reclassify disease entities into categories more representative of molecular and cellular pathogenic mechanisms regardless of traditional disease categories; - develop personalized approaches to treatment.

pht009129.v1.p1

1 itemgroup 2 items

pht009130.v1.p1

1 itemgroup 2 items

pht009131.v1.p1

1 itemgroup 14 items

pht009132.v1.p1

1 itemgroup 6 items
- 9/20/21 - 1 form, 16 itemgroups, 123 items, 1 language
Itemgroups: Investigational Product Day 1, Investigational Product Day 2, Hematology Day 1 Pre-Dose, Clinical chemistry Day 1 Pre-Dose, Urinalysis Day 1 Pre-Dose, Vital Signs Day 1, Vital Signs Day 2, 12-Lead Electrocardiogram Day 1, 12-Lead Electrocardiogram Day 2, FEV1 Day 1, Pharmacokinetic sampling Day 1, Potassium and Glucose Day 1, Pharmacokinetic Urine lnterval Collection Data Day 1, Hematology Day 1 Post-Dose, Clinical chemistry Day 1 Post-Dose, Urinalysis Day 1 Post-Dose
- 9/20/21 - 1 form, 16 itemgroups, 123 items, 1 language
Itemgroups: Investigational Product Day 1, Investigational Product Day 2, Hematology Day 1 Pre-Dose, Clinical chemistry Day 1 Pre-Dose, Urinalysis Day 1 Pre-Dose, Vital Signs Day 1, Vital Signs Day 2, 12-Lead Electrocardiogram Day 1, 12-Lead Electrocardiogram Day 2, FEV1 Day 1, Pharmacokinetic sampling Day 1, Potassium and Glucose Day 1, Pharmacokinetic Urine lnterval Collection Data Day 1, Hematology Day 1 Post-Dose, Clinical chemistry Day 1 Post-Dose, Urinalysis Day 1 Post-Dose

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial