Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI.
Weijing WangWenjie JiangLin HouHaiping DuanYili WuChunsheng XuQihua TanShuxia LiDongfeng ZhangPublished in: BMC genomics (2017)
We identified significant genes and specific modules potentially related to BMI based on the gene expression profile data of monozygotic twins. The findings may help further elucidate the underlying mechanisms of obesity development and provide novel insights to research potential gene biomarkers and signaling pathways for obesity treatment. Further analysis and validation of the findings reported here are important and necessary when more sample size is acquired.
Keyphrases
- network analysis
- genome wide
- genome wide identification
- weight gain
- poor prognosis
- copy number
- dna methylation
- metabolic syndrome
- insulin resistance
- body mass index
- weight loss
- genome wide analysis
- type diabetes
- electronic health record
- bioinformatics analysis
- signaling pathway
- high fat diet induced
- binding protein
- oxidative stress
- gestational age
- computed tomography
- physical activity
- machine learning
- skeletal muscle
- long non coding rna
- cell proliferation
- preterm birth
- pi k akt
- gene expression
- human health
- risk assessment
- climate change
- replacement therapy