Clinical trial NCT03114553: Family History in a Singaporean Healthy Population
Official title: Integration of Family Health History Data Into a Singaporean Healthy Population Cohort Database to Understand the Associations Between Family Health History and Genomics
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: All
Keywords: family health history
prevention
genetic risk
clinical decision support
Lead sponsor: Duke University
Sponsor class: OTHER
First posted: 2017-04-14
Enrollment: 1000
Sex: ALL
Minimum age (years): 16
Maximum age (years): 90
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Healthy Singaporean population

Brief summary: The purpose of this study is to better understand the linkages between family health history (FHH) and genomics in a Singaporean population. Secondly this study will evaluate the facilitators and barriers to implementation of a family history collection and risk assessment tool within a Singaporean population.

Detailed description: This study is a collaboration between Duke University School of Medicine Center for Applied Genomics and Precision Medicine (CAGPM) and the National Heart Center of Singapore (NHCS) and SingHealth Duke-NUS Center for Precision Medicine (PRISM). The NHCS study, Molecular and Imaging Studies of Cardiovascular Health and Disease ("Biobank study") is collecting genomic, clinical, and environmental data on a large cohort of healthy Singaporean volunteers. Data from the Biobank study is being deposited into a large healthy population cohort database, SPECTRA, organized under PRISM. The investigators will collaborate with the NHCS Biobank study and PRISM to integrate the Duke family history risk assessment platform, MeTree, into the data collection of the Biobank study cohort for in-depth analyses of FHH and genomic associations as well as exploration of the feasibility of MeTree implementation into the Singaporean clinical context. The Biobank study is a prospective observational study. It has already enrolled 1,000 subjects and will continue enrollment over the next year and possibly beyond. Previously enrolled subjects will be re-contacted for completion of MeTree as well as having future enrollees complete the tool prospectively. The investigators anticipate 5,000 subjects completing MeTree over a one-year period. The investigators will evaluate the feasibility and effectiveness of implementing MeTree in the larger Singaporean context. The investigators will assess implementation related outcomes- questions/problems people have when completing their family histories, how complete are the FHH entered, what types of risk are identified and what existing programs in Singapore are designed to manage that risk. The completion of this project will provide a significant amount of data to better understand the associations between FHH and genomic data within a healthy Asian population. It also will result in a better understanding of an appropriate implementation strategy for MeTree within the Singaporean clinical setting.

Specific Aim 1: To explore the correlation of genomic data and FHH within a healthy Asian population.

Specific Aim 2: To assess the clinical utility and appropriateness of a patient-entered FHH risk assessment tool within a Singaporean population.

Specific Aim 3: To create an implementation strategy for broader implementation of a patient-driven risk assessment tool in Singapore.

Duke University will be providing access to the MeTree Family Health History tool, storage of the PRISM participant data, participant and provider risk assessment reports, and education about the tool to PRISM study staff as needed. Duke University personnel will not be involved in any recruiting, consenting, or follow-up with study participants, but will have access to de-identified participant data housed in the MeTree research database in order to provide support for the study coordinators for participant account trouble-shooting and also to provide interim and final datasets to the PRISM statisticians. The MeTree research database currently sits on a DHTS server behind the Duke firewall, and is maintained and secure in accordance with Duke policy for patient data.

Eligibility criteria: Inclusion Criteria:

* Healthy Singaporeans enrolled or eligible for enrollment in a local Biobank protocol

Exclusion Criteria:

-

Primary outcomes:
measure: Correlation of genomic data and family health history (FHH) within a healthy Asian population.
timeFrame: Baseline
Secondary outcomes:
measure: Clinical utility and appropriateness of a patient-entered FHH risk assessment tool within a Singaporean population
timeFrame: Baseline
measure: Facilitators and barriers to using systemic risk assessment tool in Singapore
timeFrame: Baseline
Other outcomes:
Locations:
city: Singapore
country: Singapore
facility: National Heart Centre of Singapore
Study officials:
affiliation: Associate Professor of Medicine
name: Lori Orlando, MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Wu RR, Sultana R, Bylstra Y, Jamuar S, Davila S, Lim WK, Ginsburg GS, Orlando LA, Yeo KK, Cook SA, Tan P. Evaluation of family health history collection methods impact on data and risk assessment outcomes. Prev Med Rep. 2020 Mar 5;18:101072. doi: 10.1016/j.pmedr.2020.101072. eCollection 2020 Jun.
citation: Bylstra Y, Lim WK, Kam S, Tham KW, Wu RR, Teo JX, Davila S, Kuan JL, Chan SH, Bertin N, Yang CX, Rozen S, Teh BT, Yeo KK, Cook SA, Jamuar SS, Ginsburg GS, Orlando LA, Tan P. Family history assessment significantly enhances delivery of precision medicine in the genomics era. Genome Med. 2021 Jan 7;13(1):3. doi: 10.1186/s13073-020-00819-1.