Join Alzheimer’s research study – participate from home.
This study on Alzheimer’s disease seeks Asians aged 60+ who live in the US or Canada. Since 1985, researchers have collected genetic samples to understand the causes of dementia. Out of 59,905 samples from volunteers with dementia, only 300 are from Asians.
- You can increase Asian representation in Alzheimer’s research.
- You will learn more about dementia.
- You can participate from home.
- You would help future generations to prevent and treat Alzheimer’s disease.
- Participants are compensated up to $100. Caregivers of participants also get up to $25
What does the study involve?
The study includes in-person or remote interviews and medical assessments and participants will be asked to provide a saliva or blood sample.
- Total time to participate is 4-5 hours.
- An interview over the phone or online.
- A saliva or blood sample. A saliva kit can be mailed to your home.
- A medical assessment through an online video call. Please ensure that someone with technical knowledge can help you set up the online call on a smartphone or computer, if needed.
Participants must be:
- Aged 60+
- Identify as Asian, Asian American or Asian Canadian.
- Diagnosed with Alzheimer’s disease OR worried about memory OR willing to join as a healthy volunteer. Caregivers can also join the study as healthy volunteers.
- Living in the United States.
Research site: This research study is a collaboration between:
- University of Pennsylvania
- Indiana University
- University of Washington
- Columbia University
- University of California San Francisco
- Stanford University
- University of Massachusetts Boston
- University of Southern California
- University of California San Diego
- Centre for Addiction and Mental Health/University of Toronto
- University of British Columbia.
ACAD stands for “Asian Cohort for Alzheimer’s Disease”.
Location: Participate from home.
Ethics Committee: This study has been reviewed and approved by the University of Pennsylvania Institutional Review Board.
- UPenn: 843791
- UCSF: 20-33065
- Stanford: 60707