Childhood Obesity Clinical Trial
Official title:
Whole-exome Sequencing to Identify Genetic Variants Associated With Severe Childhood Obesity, and Tracking the Changing Prevalence of Obesity Related Complications
Verified date | September 2020 |
Source | National University, Singapore |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational [Patient Registry] |
Obesity is a complex multifactorial disease where genetics play an important role in
predisposing children to early onset obesity. Though many obesity susceptible genes and
variants have been identified with obesity, the most common obesity gene, MC4R only accounts
for 5% of all early onset obesity cases. This implies that there may be more obesity related
genes and variants that need to be unravelled to further delineate the relationship between
obesity and genetics. The investigators propose in screening the exonic regions of all the
genes in obese subjects using whole-exome sequencing (WES) to discover novel obesity related
variants and genes.
Primary hypothesis The investigators hypothesized that our paediatric subjects with
early-onset severe obesity will have strong genetic predisposition and therefore the cohort
would be enriched with obesity susceptibility genetic variants.
Secondary hypothesis The investigators hypothesized that there is increasing prevalence of,
and possibly worsening, obesity-related complications (namely glucose intolerance,
hypertension, metabolic syndrome, non-alcoholic fatty liver disease) in our severely obese
children, as compared to 15 years ago, due to an increasingly obesogenic environment
promoting unhealthy lifestyle and eating habits.
Status | Completed |
Enrollment | 800 |
Est. completion date | September 10, 2020 |
Est. primary completion date | February 10, 2019 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | N/A and older |
Eligibility |
Inclusion Criteria: 1.1. Inclusion Criteria The obese subject must meet all of the following inclusion criteria to participate in this study: 1. Ideal body weight for height (WFH) of at least 140% or BMI for age above 97th percentile 2. Overweight before 10 years of age 3. Informed consent from both obese children subject and legal representative e.g. parents Family member must meet all of the following inclusion criteria to participate in this study: 1. Must be parent or direct sibling of obese subject 2. Informed consent from both subject and parent is subject is below 21 years of age Exclusion Criteria: All subjects meeting any of the exclusion criteria at baseline will be excluded from participation: 1. Unfit for blood testing and OGTT testing 2. No informed consent |
Country | Name | City | State |
---|---|---|---|
Singapore | Health Promotion Board | Singapore | |
Singapore | National University Hospital, Singapore | Singapore |
Lead Sponsor | Collaborator |
---|---|
National University, Singapore | Genome Institute of Singapore A*Star, Singapore, Health Promotion Board, Singapore |
Singapore,
Hinney A, Nguyen TT, Scherag A, Friedel S, Brönner G, Müller TD, Grallert H, Illig T, Wichmann HE, Rief W, Schäfer H, Hebebrand J. Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants. PLoS One. 2007 Dec 26;2(12):e1361. — View Citation
Ng SB, Turner EH, Robertson PD, Flygare SD, Bigham AW, Lee C, Shaffer T, Wong M, Bhattacharjee A, Eichler EE, Bamshad M, Nickerson DA, Shendure J. Targeted capture and massively parallel sequencing of 12 human exomes. Nature. 2009 Sep 10;461(7261):272-6. doi: 10.1038/nature08250. Epub 2009 Aug 16. — View Citation
Ramachandrappa S, Farooqi IS. Genetic approaches to understanding human obesity. J Clin Invest. 2011 Jun;121(6):2080-6. doi: 10.1172/JCI46044. Epub 2011 Jun 1. Review. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Identify novel obesity genes and variants using whole-exome sequencing (WES) in our local Singaporean obese children. | whole exom sequencing data | 3 years | |
Secondary | Assess and compare the metabolic phenotype of the current severely obese children and severely obese children recruited in a similar fashion 15 years ago by the obesity gene study (OGS) group. | metabolic measures | 3 years | |
Secondary | Biomarkers, inflammatory markers and PBMC gene expressions between metabolically healthy obese and metabolically unhealthy obese | Inflammatory measures | 3 years | |
Secondary | Stool microbiota/metagenomics in obese children, and metabolic health | Microbiome | 3 years |
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