Quantifying the phenome-wide disease burden of obesity using electronic health records and genomics.

doi:10.1002/oby.23561

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Article

Quantifying the phenome-wide disease burden of obesity using electronic health records and genomics.

Obesity (Silver Spring, Md.) - 1 Dec 2022

Robinson Jamie R, Carroll Robert J, Bastarache Lisa, Chen Qingxia, Pirruccello James, Mou Zongyang, Wei Wei-Qi, Connolly John, Mentch Frank, Crane Paul K, Hebbring Scott J, Crosslin David R, Gordon Adam S, Rosenthal Elisabeth A, Stanaway Ian B, Hayes M Geoffrey, Wei Wei, Petukhova Lynn, Namjou-Khales Bahram, Zhang Ge, Safarova Mayya S, Walton Nephi A, Still Christopher, Bottinger Erwin P, Loos Ruth J F, Murphy Shawn N, Jackson Gretchen P, Abumrad Naji, Kullo Iftikhar J, Jarvik Gail P, Larson Eric B, Weng Chunhua, Roden Dan, Khera Amit V, Denny Joshua C

Abstract excerpt

OBJECTIVE: High BMI is associated with many comorbidities and mortality. This study aimed to elucidate the overall clinical risk of obesity using a genome- and phenome-wide approach. METHODS: This study performed a phenome-wide association study of BMI using a clinical cohort of 736,726 adults. This was followed by genetic association studies using two separate cohorts: one consisting of 65,174 adults in the...

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PMID: 36372681
DOI: 10.1002/oby.23561
PMCID: PMC9691570

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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