Quantifying the phenome-wide disease burden of obesity using electronic health records and genomics. Jamie R Robinson , Robert J Carroll , Lisa Bastarache , Qingxia Chen , James Pirruccello , Zongyang Mou , Wei-Qi Wei , John Connolly , Frank Mentch , Paul K Crane , Scott J Hebbring , David R Crosslin , Adam S Gordon , Elisabeth A Rosenthal , Ian B Stanaway , M Geoffrey Hayes , Wei Wei , Lynn Petukhova , Bahram Namjou-Khales , Ge Zhang , Mayya S Safarova , Nephi A Walton , Christopher Still , Erwin P Bottinger , Ruth J F Loos , Shawn N Murphy , Gretchen P Jackson , Naji Abumrad , Iftikhar J Kullo , Gail P Jarvik , Eric B Larson , Chunhua Weng , Dan Roden , Amit V Khera , Joshua C Denny Obesity (Silver Spring, Md.)（2022）
摘要
This combined genomic and phenomic systematic approach demonstrated that obesity has a strong genetic predisposition and is associated with a considerable burden of disease across all disease classes.
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obesity, electronic health records
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