Genomic Resources for Enhancing Available Therapies (GREAT1.0) Study

Rheumatoid Arthritis Clinical Trial

— GREAT1  

Official title:

Genomic Resources for Enhancing Available Therapies (GREAT1.0) Study

Clinical Trial Details — Status: Suspended

Administrative data

• NCT number: NCT04306939
• Other study ID #: STUDY19020035
• Status: Suspended
• Start date: November 1, 2014
• Est. completion date: December 1, 2025

Study information

• Verified date: July 2023
• Source: University of Pittsburgh
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This is a prospective, descriptive, observational research study designed to observe and document the clinical practice by domain experts, and how the knowledge of new findings that are published in the medical literature affect clinical decision making.

The study will evaluate risk factors and co-variants, including genetic variants that are associated with disease progression such as pain, inflammation, organ dysfunction, disability and quality of life.

Description:

The Genomic Resource to Enhance Available Therapies (GREAT1.0) Study is a research program for personalized medicine. It is a highly annotated genetic and biosample resource for multiple nested observational cohort studies. It is designed to begin to understand the mechanisms underlying complex diseases using clinical information from the UPMC electronic health record (EHR), from case-report forms, and from biological samples.

Aim 1. To test the hypothesis that point-of-care electronic health record (EHR)-based phenotyping and clinical measures will be useful for classifying patient by disease risk, subtype, activity, complications, quality of life or using statistical or systems approaches.

Aim 2. To test the hypothesis that common diseases can be subtyped using genotype data.

Aim 3. To test the hypothesis biological samples will provide additional functional and mechanistic information about subject health, disease or state.

The study will be conducted using UPMC patients and population controls. Consent will allow EHR and/or case report form data, plus biological samples to be given a unique code number and transferred to researchers for analysis. Consent will also allow for a secure link to be maintained allowing the research data or samples to be updated, and to contact the clinical team and/or subject to provide them with additional information.

Recruitment information / eligibility

• Status: Suspended
• Enrollment: 120000
• Est. completion date: December 1, 2025
• Est. primary completion date: December 1, 2025
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 12 Years and older

Eligibility

Inclusion Criteria:

Case Subjects

• Clinical diagnosis of a chronic disease or disorder (ex. pancreatitis, hepatitis or fatty liver, inflammatory bowel disease, irritable bowel syndrome, diarrhea, constipation, chronic pain syndromes, diabetes, hypertension, cardiovascular disease, chronic kidney disease, chronic neurologic disorders, rheumatological disorders, endocrine disorders, chronic pulmonary diseases, sinorespiratory disorders, chronic skin diseases, cancers and related disorders)

• Ability to read and write in English;

• Ability to provide informed consent

Control Subjects

• UPMC patients age 12 years without a chronic disorder.

Exclusion Criteria:

• Chronic infectious disease as the primary medical problem

• Less than 12 years of age

• Inability of the subject to understand the protocol

• Inability to the subject provide informed consent

Related Conditions & MeSH terms

• Acute Pancreatitis
• Bile Acid Synthesis Defect
• Biliary Cirrhosis
• Celiac Disease
• Cholecystitis
• Cholelithiases
• Cholelithiasis
• Chronic Disease
• Chronic Kidney Diseases
• Chronic Pain
• Chronic Pancreatitis
• Constipation
• Constipation - Functional
• Constipation Chronic Idiopathic
• Crohn Disease
• Cyst Pancreas
• Cystic Fibrosis
• Diabetes Mellitus
• Diarrhea
• Diarrhea Chronic
• Dyslipidemias
• Exocrine Pancreatic Insufficiency
• Fatty Liver
• Fibrosis
• Gastritis
• Hepatitis
• Inflammatory Bowel Diseases
• IPMN
• Irritable Bowel Syndrome
• Kidney Diseases
• Liver Cirrhosis, Biliary
• Multiple Sclerosis
• NASH - Nonalcoholic Steatohepatitis
• Non-alcoholic Fatty Liver Disease
• Pancreatic Exocrine Insufficiency
• Pancreatitis
• Pancreatitis, Chronic
• Renal Insufficiency, Chronic
• Rheumatoid Arthritis

Intervention

Other:
• venipuncture
Research blood collection is also an option via venipuncture if the subject is not scheduled for clinical testing. This will also be limited to 21cc of blood, up to 4 time a year, and with the approval of the attending physician.

Behavioral:
• Questionnaires
PROMIS-43 Profile, PROMIS-29 Profile, Global Health Scale and Hospital Anxiety and Depression Scale (HADS). Additional assessments can be approved and administered per specific disease sub-category.

Other:
• Additional Sample Collections
We may also contact subjects to request additional blood, saliva, cheek swab, hair, urine, or stool with their permission. This will be limited to no more than 4 teaspoons of blood and will happen no more than 4 times per year.

Locations

Country	Name	City	State
United States	University of Pittsburgh Medical Center	Pittsburgh	Pennsylvania

Sponsors (1)

Lead Sponsor	Collaborator
University of Pittsburgh

Country where clinical trial is conducted

United States, 

References & Publications (1)

Whitcomb DC. Primer on Precision Medicine for Complex Chronic Disorders. Clin Transl Gastroenterol. 2019 Jul;10(7):e00067. doi: 10.14309/ctg.0000000000000067. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Define the molecular disorders contributing to clinicopathological disease definitions for common complex disorders	Diseases are defined by symptoms and pathologic features in specific tissues. The study uses genetic variants associated with disease to define the underlying genes associated with disease, and uses cell biology methods to understand which mechanisms within the specialized cells lead to disease under specific conditions.	through study completion, an average of 1 year
Primary	Define risk factors for disease progression, severity, complications and poor quality of life.	Life-style (e.g. alcohol, smoking, diet, exercise), medications, metabolic, genetic and epigenetic factors alter the features of disease. Nested studies, subgroup analysis, stepwise regression, statistical and machine learning will be used to develop disease models where early intervention may alter disease progression and severity.	through study completion, an average of 1 year
Primary	Common disease mechanisms and repurposing of medications.	Many chronic diseases, including inflammatory and autoimmune diseases, have similar disease features that arise in different organs. Harmonization of similar disease processes in different organs will be used to increase study power, and to determine if there is evidence that therapeutic interventions for one disease may be effective in another disease, providing evidences to consider drug repurposing and new treatment approaches.	through study completion, an average of 1 year
Secondary	Pain profile	Pain is measured using visual analogue scales, pain quality, pattern and interference using standardized questionnaires. Patients with similar disease stages and severity often have markedly different levels of pain. Validated tools will be used to observe responses to disease treatments between similar patients, and to observe factors that may be targetable to lessen pain in future intervention studies.	through study completion, an average of 1 year
Secondary	Patient Reported Global Health Assessment	PROMIS29 It is a comprehensive measure in that it is assessing multiple aspects of mental, physical, and social health.	through study completion, an average of 1 year