Wellderly: The Healthy Elderly Longevity Cohort

Sponsor
Scripps Translational Science Institute (Other)
Overall Status
Recruiting
CT.gov ID
NCT01004133
Collaborator
(none)
5,000
1
269
18.6

Study Details

Study Description

Brief Summary

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.

Condition or Disease Intervention/Treatment Phase

    Study Design

    Study Type:
    Observational
    Anticipated Enrollment :
    5000 participants
    Observational Model:
    Other
    Time Perspective:
    Other
    Official Title:
    The Healthy Elderly Longevity Cohort
    Study Start Date :
    Aug 1, 2007
    Anticipated Primary Completion Date :
    Jan 1, 2030
    Anticipated Study Completion Date :
    Jan 1, 2030

    Arms and Interventions

    Arm Intervention/Treatment
    Subjects 80 years of age or older without chronic diseases.

    Outcome Measures

    Primary Outcome Measures

    1. Biorepository Creation [ten years]

      Create a biorepository from participants' blood and/or saliva donations we will ultimately be able to define genes for various diseases and understand health

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    80 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    Yes
    Inclusion Criteria:
    1. Age 80 years or older

    2. Eligible for blood draw and/or saliva collection

    3. Be reliable, cooperative and willing to comply with all protocol-specified procedures

    4. Able to understand and grant informed consent

    5. Be healthy or have mild medical conditions that may be associated with the normal aging process, including:

    • Hypertension, well controlled (no more than 3 medications)

    • Osteoporosis, Osteopenia and/or osteoarthritis

    • Benign prostatic hypertrophy

    • Cataracts, Glaucoma, Macular Degeneration

    • Dyslipidemia

    • Hypothyroidism

    • Pre-diabetes/impaired fasting glucose (fasting blood glucose 100-126 mg/dL, if known)

    Exclusion Criteria:
    1. < 80 years old

    2. Participants have been previously enrolled in The Scripps Genebank Healthy Elderly Cohort

    3. Treatment with any investigational agents or devices within thirty days preceding enrollment in the study.

    4. Self-reported history or current diagnosis of significant chronic conditions including:

    • Any Cancer (including polycythemia; excluding basal or squamous cell skin cancer).

    • Coronary Artery Disease/Myocardial Infarction

    • Stroke/TIA

    • Deep Vein Thrombosis/Pulmonary Embolus

    • Chronic Renal Disease/Hemodialysis

    • Significant Auto-immune/Inflammatory conditions such as (Rheumatoid Arthritis, Lupus, Crohn's, etc.

    • Alzheimer's/Parkinson's

    • Diabetes (Hemoglobin A1C > 6.5 % or fasting glucose >126 mg/dL or treated with oral diabetic medication or insulin if known)

    • Aortic or Cerebral Aneurysm

    1. Currently taking any of the following medications on a regular basis:
    • Oral chemotherapeutic agents (ex.: tamoxifen, doxorubicin, mitoxantrone, bleomycin)

    • Anti-platelet agents, not including aspirin (ex.: clopidogrel/plavix, dipyridamole/aggrenox/persantine, ticlopidine/ticlid)

    • Cholinesterase inhibitor for Alzheimer's disease (i.e. donepezil/Aricept)

    • Insulin

    1. 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

    Locations

    Site City State Country Postal Code
    1 Scripps Translational Science Institute La Jolla California United States 92037

    Sponsors and Collaborators

    • Scripps Translational Science Institute

    Investigators

    None specified.

    Study Documents (Full-Text)

    None provided.

    More Information

    Additional Information:

    Publications

    None provided.
    Responsible Party:
    Eric Topol, MD, Director, Scripps Translational Science Institute
    ClinicalTrials.gov Identifier:
    NCT01004133
    Other Study ID Numbers:
    • HSC 07-4789
    First Posted:
    Oct 29, 2009
    Last Update Posted:
    Mar 18, 2020
    Last Verified:
    Mar 1, 2020
    Keywords provided by Eric Topol, MD, Director, Scripps Translational Science Institute

    Study Results

    No Results Posted as of Mar 18, 2020