ID
45398
Description
Principal Investigator: Nancy F. Butte, PhD, Baylor College of Medicine, Houston, TX, USA MeSH: Obesity,Diabetes Mellitus, Type 2 https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000616 The VIVA LA FAMILIA Study was designed to identify genetic variants influencing childhood obesity and its comorbidities in the Hispanic population. Family recruitment and phenotyping were conducted in 2000-2005 in Houston, TX. All enrolled children (n=1030) and parents gave written informed consent or assent. The protocol was approved by the Institutional Review Boards for Human Subject Research for Baylor College of Medicine and Affiliated Hospitals and for Texas Biomedical Research Institute. The VIVA LA FAMILIA study design and methodology have been described in detail (Butte NF, 2006). Each family was ascertained on an obese proband, defined as a BMI 95th percentile, between the ages 4-19 y. The cross-sectional, longitudinal study design consisted of baseline measurements, with a one-year. GWAS was performed using the Illumina HumanOmni1 v1.0 BeadChips on 815 children from 263 Hispanic families and HumanOmni 2.5-8v1 on an additional 43 children. Exome sequencing is being performed on 822 children using NimbleGen capture, followed by Illumina DNA sequencing. Butte NF, Cai G, Cole SA, Comuzzie AG. Viva la Familia Study: genetic and environmental contributions to childhood obesity and its comorbidities in Hispanic population. Am J Clin Nutr 2006;84(3):646-54. PMID: 16960181
Link
Keywords
Versions (1)
- 11/15/22 11/15/22 - Simon Heim
Copyright Holder
Nancy F. Butte, PhD, Baylor College of Medicine, Houston, TX, USA
Uploaded on
November 15, 2022
DOI
To request one please log in.
License
Creative Commons BY 4.0
Model comments :
You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.
Itemgroup comments for :
Item comments for :
In order to download data models you must be logged in. Please log in or register for free.
dbGaP phs000616 CIP: Obesity-Diabetes Familial Risk
The sample attributes data table includes sample type, body site where sample was extracted, sample analyte type and tumor status.
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent file includes subject IDs, consent group information, and affection status for childhood obesity.
- This pedigree data table shows family relationships through family IDs, subject IDs, father IDs, mother IDs, monozygotic twin IDs, and gender.
- This subject sample mapping file includes a mapping of study subject IDs to sample IDs and sample use. Additionally, each sample is marked as having been used for an Illumina 1M chip, Illumina 2.5M chip, exome sequencing batch 1, and/or exome sequencing batch 2.
- The subject phenotype data table includes age, gender, obesity status, anthropometric measures (n=7 variables; weight, height, BMI, BMI Z, waist, fat mass, and % fat), and lipids and cholesterol measures (n=5 variables; insulin, triglycerides, total cholesterol, HDL, and LDL).
- The sample attributes data table includes sample type, body site where sample was extracted, sample analyte type and tumor status.
Similar models
The sample attributes data table includes sample type, body site where sample was extracted, sample analyte type and tumor status.
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent file includes subject IDs, consent group information, and affection status for childhood obesity.
- This pedigree data table shows family relationships through family IDs, subject IDs, father IDs, mother IDs, monozygotic twin IDs, and gender.
- This subject sample mapping file includes a mapping of study subject IDs to sample IDs and sample use. Additionally, each sample is marked as having been used for an Illumina 1M chip, Illumina 2.5M chip, exome sequencing batch 1, and/or exome sequencing batch 2.
- The subject phenotype data table includes age, gender, obesity status, anthropometric measures (n=7 variables; weight, height, BMI, BMI Z, waist, fat mass, and % fat), and lipids and cholesterol measures (n=5 variables; insulin, triglycerides, total cholesterol, HDL, and LDL).
- The sample attributes data table includes sample type, body site where sample was extracted, sample analyte type and tumor status.
C1299222 (UMLS CUI [1,2])
No comments