ID
45893
Beschrijving
Principal Investigator: Stephen T. McGarvey, PhD, MPH, Brown University, Providence, RI, USA MeSH: Obesity,Adiposity,Lipids,Blood Pressure https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000972 The individuals sequenced here represent a small subset of the parent study (described below) and were carefully selected for the purpose of creating a Samoan-specific reference panel for imputation back into the parent study. The INFOSTIP algorithm of Gusev et. al. (2012) (PMID: 22135348) was used to optimally choose the individuals for sequencing. The research goal of the parent study (dbGaP ID phs000914) is to identify genetic variation that increases susceptibility to obesity and cardiometabolic phenotypes among adult Samoans using genome-wide association (GWAS) methods. DNA from peripheral blood and phenotypic information were collected from 3,119 adult Samoans, 23 to 70 years of age. The participants reside throughout the independent nation of Samoa, which is experiencing economic development and the nutrition transition. Genotyping was performed with the Affymetrix Genome-Wide Human SNP 6.0 Array using a panel of approximately 900,000 SNPs. Anthropometric, fasting blood biomarkers and detailed dietary, physical activity, health and socio-demographic variables were collected. We are replicating the GWAS findings in an independent sample of 2,500 Samoans from earlier studies. After replication of genomic regions and informative SNPs in those regions, we will determine sequences of the important genes, and determine the specific genetic variants in the sequenced genes that are associated with adiposity and related cardiometabolic conditions. We will also identify gene by environment interactions, focusing on dietary intake patterns and nutrients.
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Versies (1)
- 01-12-23 01-12-23 - Simon Heim
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Stephen T. McGarvey, PhD, MPH, Brown University, Providence, RI, USA
Geüploaded op
1 december 2023
DOI
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Creative Commons BY 4.0
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dbGaP phs000972 NHLBI TOPMed: Genome-Wide Association Study of Adiposity in Samoans
The subject consent data table contains subject IDs and consent group information.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent data table contains subject IDs and consent group information.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This sample attributes data table includes body site where sample was collected, analyte type, sequencing center, funding source, TOPMed phase, project, and study name.
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The subject consent data table contains subject IDs and consent group information.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent data table contains subject IDs and consent group information.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This sample attributes data table includes body site where sample was collected, analyte type, sequencing center, funding source, TOPMed phase, project, and study name.
C0441833 (UMLS CUI [1,2])
C0242481 (UMLS CUI [1,2])