MyGeneRank: A Digital Platform for Next-Generation Genetic Studies

NCT ID: NCT03277365

Last Updated: 2024-04-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

100000 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-09-26

Study Completion Date

2030-09-30

Brief Summary

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Many conditions affecting health are caused by a combination of environment, behaviors, and genes. While individuals can alter some factors in their lives to reduce the chances of developing different diseases (e.g., not smoking cigarettes), the contribution from genetic risk encoded by DNA remains with people throughout their lives. Scientists are still trying to determine the entirety of genetic factors that influence disease, but for some conditions it has been shown that the factors identified thus far can begin to identify people at high to low genetic risk. Looking across the genome, scientists can calculate a cumulative genetic risk score - which can be used to rank genetic risk compared to other worldwide populations.

The goal of this study is to determine how genetic risk influences health decisions and other things that can be controlled in life. The first genetic risk score is calculated for coronary heart disease (CAD). CAD ultimately leads to heart attacks, heart failure and sometimes sudden cardiac death and is the main reason heart disease remains as the number one cause of death worldwide. Other researchers have shown that this genetic risk score can be used to identify people with low, intermediate, and high risk for coronary heart disease. It has also been shown that the use of statins (cholesterol lowering drugs) provides greater benefit and protection against heart attack for people with high genetic risk for coronary artery disease.

Leveraging the Apple ResearchKit and the ResearchKit linked 23andMe API, customers of 23andMe are able to provide researchers access to their genomic data. Participants will use the ResearchKit app to provide consent, view study information, answer surveys, and contact the study team.

Participants will be asked to complete 3 surveys. One before viewing genetic risk scores, one immediately after viewing scores, and one 6 months after viewing scores.

Detailed Description

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Conditions

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Heart Diseases

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Interventions

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Receive genetic risk information

Risk scores are provided by ResearchKit app.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Customer of 23andMe willing to share their 23andMe data
* User of Apple mobile device

Exclusion Criteria

* Under 18 years old
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Scripps Translational Science Institute

OTHER

Sponsor Role lead

Responsible Party

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Ali Torkamani

Director, Genomics

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Scripps Translational Science Institute

La Jolla, California, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Jennifer Wagner, RN

Role: CONTACT

858-784-2028

Facility Contacts

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Emily Spencer, PhD

Role: primary

Other Identifiers

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16-6835

Identifier Type: -

Identifier Source: org_study_id

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