Systems genetics analysis of human body fat distribution genes identifies adipocyte processes.
Jordan N ReedJiansheng HuangYong LiLijiang MaDhanush BankaMartin WabitschTianfang WangWen DingJohan Lm BjörkegrenMete CivelekPublished in: Life science alliance (2024)
Excess abdominal fat is a sexually dimorphic risk factor for cardio-metabolic disease and is approximated by the waist-to-hip ratio adjusted for body mass index (WHR adjBMI ). Whereas this trait is highly heritable, few causal genes are known. We aimed to identify novel drivers of WHR adjBMI using systems genetics. We used two independent cohorts of adipose tissue gene expression and constructed sex- and depot-specific Bayesian networks to model gene-gene interactions from 8,492 genes. Using key driver analysis, we identified genes that, in silico and putatively in vitro, regulate many others. 51-119 key drivers in each network were replicated in both cohorts. In other cell types, 23 of these genes are found in crucial adipocyte pathways: Wnt signaling or mitochondrial function. We overexpressed or down-regulated seven key driver genes in human subcutaneous pre-adipocytes. Key driver genes ANAPC2 and RSPO1 inhibited adipogenesis, whereas PSME3 increased adipogenesis. RSPO1 increased Wnt signaling activity. In differentiated adipocytes, MIGA1 and UBR1 down-regulation led to mitochondrial dysfunction. These five genes regulate adipocyte function, and we hypothesize that they regulate fat distribution.
Keyphrases
- genome wide
- adipose tissue
- genome wide identification
- body mass index
- dna methylation
- gene expression
- insulin resistance
- genome wide analysis
- endothelial cells
- fatty acid
- transcription factor
- high fat diet
- copy number
- physical activity
- skeletal muscle
- bone marrow
- molecular dynamics simulations
- weight gain
- induced pluripotent stem cells