RECRUITING

The Healthy Elderly Longevity Cohort

Study Overview

This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.

Description

With the completion of the human genome project, investigators can now explore new questions in human biology. Previously human genetics focused on highly penetrant, Mendelian traits; however, now rare and common variants can be discovered that affect "common" diseases that have multi-gene architecture with variable penetrance such as breast cancer, diabetes mellitus, and coronary artery disease. This change took place because investigators now have the tools to illuminate the whole genome at once to discover the genetic variants responsible for different disease phenotypes through statistical differences between populations. Besides disease phenotypes, health can be considered a human phenotype that can be studied. Health is not merely the absence of disease but may be viewed as a dynamic ongoing interplay between the environment and the genome to maintain homeostasis. Individuals often attempt to optimize environmental conditions according to ones genome to maximize their health. All individuals possess potentially beneficial and harmful variants depending on the environment. How this dynamic interplay occurs between the genome and environment requires understanding the boundary conditions of the genetic architecture of health and disease and then modeling the system to simulate the observed data. The aging process also affects health. Aging involves a loss of the normal coping responses to internal and external environmental stressors or signals. Investigators now have the tools to uncover from the bottom up the mechanisms involved in maintaining the ability to overcome environmental conditions that can affect health. Against this genomic breakthrough of whole genome association studies, the demographics in the United States are quickly changing. The older population (age \> 65 years) in 2030 is projected to be twice as large as in 2000 representing nearly 20 percent of the total US population. The first baby boomers turn 65 in 2011 and will challenge all facets of health care in the coming decades. The demographic changes underscore the need to understand the mechanisms that promote health and disease in this cohort. Genomic discoveries will help individuals and may reduce medical costs and benefit society. In summary, the objective of this study is to obtain blood and/or saliva samples in order to help model health and disease phenotypes through population genomics. The blood and/or saliva samples may allow for participants' entire genomes to be sequenced if such comprehensive analysis becomes feasible and economical.

Official Title

The Healthy Elderly Longevity Cohort

Quick Facts

Study Start:2007-08
Study Completion:2030-01
Study Type:Not specified
Phase:Not Applicable
Enrollment:Not specified
Status:RECRUITING

Study ID

NCT01004133

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Ages Eligible for Study:80 Years
Sexes Eligible for Study:ALL
Accepts Healthy Volunteers:Yes
Standard Ages:OLDER_ADULT
Inclusion CriteriaExclusion Criteria
  1. 1. Age 80 years or older
  2. 2. Eligible for blood draw and/or saliva collection
  3. 3. Be reliable, cooperative and willing to comply with all protocol-specified procedures
  4. 4. Able to understand and grant informed consent
  5. 5. Be healthy or have mild medical conditions that may be associated with the normal aging process, including:
  6. * Hypertension, well controlled (no more than 3 medications)
  7. * Osteoporosis, Osteopenia and/or osteoarthritis
  8. * Benign prostatic hypertrophy
  9. * Cataracts, Glaucoma, Macular Degeneration
  10. * Dyslipidemia
  11. * Hypothyroidism
  12. * Pre-diabetes/impaired fasting glucose (fasting blood glucose 100-126 mg/dL, if known)
  1. 1. \< 80 years old
  2. 2. Participants have been previously enrolled in The Scripps Genebank Healthy Elderly Cohort
  3. 3. Treatment with any investigational agents or devices within thirty days preceding enrollment in the study.
  4. 4. Self-reported history or current diagnosis of significant chronic conditions including:
  5. * Any Cancer (including polycythemia; excluding basal or squamous cell skin cancer).
  6. * Coronary Artery Disease/Myocardial Infarction
  7. * Stroke/TIA
  8. * Deep Vein Thrombosis/Pulmonary Embolus
  9. * Chronic Renal Disease/Hemodialysis
  10. * Significant Auto-immune/Inflammatory conditions such as (Rheumatoid Arthritis, Lupus, Crohn's, etc.
  11. * Alzheimer's/Parkinson's
  12. * Diabetes (Hemoglobin A1C \> 6.5 % or fasting glucose \>126 mg/dL or treated with oral diabetic medication or insulin if known)
  13. * Aortic or Cerebral Aneurysm
  14. 5. Currently taking any of the following medications on a regular basis:
  15. * Oral chemotherapeutic agents (ex.: tamoxifen, doxorubicin, mitoxantrone, bleomycin)
  16. * Anti-platelet agents, not including aspirin (ex.: clopidogrel/plavix, dipyridamole/aggrenox/persantine, ticlopidine/ticlid)
  17. * Cholinesterase inhibitor for Alzheimer's disease (i.e. donepezil/Aricept)
  18. * Insulin
  19. 6. Subject has a significant medical condition which, in the Investigator's opinion, may interfere with the patient's optimal participation in the study or would potentially confound interpretation of the individual's phenotype.

Contacts and Locations

Study Contact

Sarah Topol, BS
CONTACT
858-784-2155
topol.sarah@scrippshealth.org
Emily Spencer, PhD
CONTACT
858-784-2029
egspence@scripps.edu

Study Locations (Sites)

Scripps Translational Science Institute
La Jolla, California, 92037
United States

Collaborators and Investigators

Sponsor: Scripps Translational Science Institute

Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates

Study Start Date2007-08
Study Completion Date2030-01

Study Record Updates

Study Start Date2007-08
Study Completion Date2030-01

Terms related to this study

Keywords Provided by Researchers

  • Age 80 or older
  • No chronic disease

Additional Relevant MeSH Terms

  • Healthy