Identifying Genes Related to Fasting Plasma Glucose Levels
Author Information
Author(s): Chen Chien-Hsiun, Chang Chee Jen, Yang Wei-Shiung, Chen Chun-Liang, Fann Cathy SJ
Primary Institution: The Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
Hypothesis
Can tree-based association analysis identify candidate genes related to fasting plasma glucose levels in the presence of covariates?
Conclusion
The tree-based association method shows promise for identifying candidate loci related to fasting glucose levels.
Supporting Evidence
- Four out of seven positive regions were linked to previously reported diabetes-related genes.
- The study focused on the offspring cohort due to missing data in the parental cohort.
- Markers were considered positive if at least one allele showed association in both analyses.
Takeaway
Researchers looked for genes that might affect blood sugar levels and found some interesting markers that could be linked to diabetes.
Methodology
The study used regression and classification trees to analyze fasting plasma glucose levels and associated covariates.
Limitations
The analysis was sensitive to the choice of cut-offs for fasting glucose levels.
Participant Demographics
Offspring generation of the Framingham Heart Study.
Digital Object Identifier (DOI)
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