Family History in a Singaporean Healthy Population

NCT03114553 | Completed

• 1 other identifier: Pro00079760
• Study Type: observational
• Target: 1,000
• Locations: 1 country
• Sites: 1

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.

Conditions

All

Keywords

family health history; prevention; genetic risk; clinical decision support

Outcome Measures

Primary Outcomes (1)

• Correlation of genomic data and family health history (FHH) within a healthy Asian population.

  assess whether family history driven risk results correlate with findings on genetic results

  Baseline

Secondary Outcomes (2)

• Clinical utility and appropriateness of a patient-entered FHH risk assessment tool within a Singaporean population

  Baseline

• Facilitators and barriers to using systemic risk assessment tool in Singapore

  Baseline

Interventions

MeTree GENETIC

Software program collecting family health history and generating clinical decision support for risk-based preventive care

Also known as: patients in the database have already had biologic specimens for genetic analysis

Eligibility Criteria

• Age: 16 Years - 90 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Healthy Singaporean population

You may qualify if:

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

Sponsors & Collaborators

• Duke University: lead

Study Sites (1)

National Heart Centre of Singapore

Singapore, 574116, Singapore

Location

Related Publications (2)

• 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.

  PMID: 32181122 BACKGROUND

• 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.

  PMID: 33413596 RESULT

Biospecimen

Retention: NONE RETAINED

blood

MeSH Terms

Conditions

Precursor Cell Lymphoblastic Leukemia-Lymphoma

Interventions

Genetic Testing

Condition Hierarchy (Ancestors)

Leukemia, Lymphoid; Leukemia; Neoplasms by Histologic Type; Neoplasms; Hematologic Diseases; Hemic and Lymphatic Diseases; Lymphoproliferative Disorders; Lymphatic Diseases; Immunoproliferative Disorders; Immune System Diseases

Intervention Hierarchy (Ancestors)

Clinical Laboratory Techniques; Diagnostic Techniques and Procedures; Diagnosis; Investigative Techniques; Genetic Techniques; Genetic Services; Health Services; Health Care Facilities Workforce and Services; Diagnostic Services; Preventive Health Services

Study Officials

• Lori Orlando, MD

  Associate Professor of Medicine

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: April 11, 2017
• First Posted: April 14, 2017
• Study Start: July 23, 2017
• Primary Completion: December 10, 2024
• Study Completion: December 10, 2024
• Last Updated: February 10, 2025

Record last verified: 2025-01

Data Sharing

• IPD Sharing: Will not share

Locations

SG (1)