Food and Microbiome Longitudinal Investigation (FAMiLI)

February 23, 2026 updated by: NYU Langone Health
The NYU Human Microbiome Study Cohort is designed to improve understanding of the role of human microbiome in health and disease. This study will serve as a critical NYU biorepository resource for research on human genetics and the microbiome in health and disease

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

16000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • New York
      • New York, New York, United States, 10016
        • Recruiting
        • New York University School of Medicine
        • Contact:
        • Principal Investigator:
          • Jiyoung Ahn, PhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

40 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Subjects in the United States identified at NYU clinics, community organizations, and online participant databases.

Description

Inclusion Criteria:

  • Age > 40

Exclusion Criteria:

  • Use of long term antibiotics.
  • Pregnant

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Demographic
Time Frame: 5 Years
sex, race, education, oral health status, lifestyle, medical history, anthropometry, and medication use will be collected using the baseline questionnaire at enrolment. The collected information will provide risk stratification information for statistical control in studies of colorectal tumors and other major chronic diseases.
5 Years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Differences in human microbiota between subjects with colorectal adenoma or colorectal cancer and those without.
Time Frame: 5 Years
Pairwise alignment and clustering of sequences into operational taxonomic units (OTUs)
5 Years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Investigators

  • Principal Investigator: Jiyoung Ahn, PhD, NYU Langone Health

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 16, 2016

Primary Completion (Estimated)

December 31, 2029

Study Completion (Estimated)

December 31, 2034

Study Registration Dates

First Submitted

September 22, 2017

First Submitted That Met QC Criteria

September 22, 2017

First Posted (Actual)

September 26, 2017

Study Record Updates

Last Update Posted (Actual)

February 25, 2026

Last Update Submitted That Met QC Criteria

February 23, 2026

Last Verified

February 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 12-00855
  • R21CA183887 (U.S. NIH Grant/Contract)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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