Article
Integrating genetic and transcriptomic data to identify genes underlying obesity risk loci.
International journal of obesity (2005) - 1 Nov 2025
Xu Hanfei, Gupta Shreyash, Dinsmore Ian, Kollu Abbey, Cawley Anne Marie, Anwar Mohammad Y, Chen Hung-Hsin, Petty Lauren E, Seshadri Sudha, Graff Misa, Below Jennifer E, Brody Jennifer A, Chittoor Geetha, Fisher-Hoch Susan P, Heard-Costa Nancy L, Levy Daniel, Lin Honghuang, Loos Ruth J F, Mccormick Joseph B, Rotter Jerome I, Mirshahi Tooraj, Still Christopher D, Destefano Anita, Cupples L Adrienne, Mohlke Karen L, North Kari E, Justice Anne E, Liu Ching-Ti
Abstract excerpt
BACKGROUND: Genome-wide association studies (GWAS) have identified numerous body mass index (BMI) loci. However, most underlying mechanisms from risk locus to BMI remain unknown. Leveraging omics data through integrative analyses could provide more comprehensive views of biological pathways on BMI. METHODS: We analyzed genotype and blood gene expression data from up to 5619 samples in the Framingham Heart Study...
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