Clinical and molecular prevalence of lipodystrophy in an unascertained large clinical care cohort

Claudia Gonzaga-Jauregui, Wenzhen Ge, Jeffrey Staples, Cristopher Van Hout, Ashish Yadav, Ryan Colonie, Joseph B. Leader, H. Lester Kirchner, Michael F. Murray, Jeffrey G. Reid, David J. Carey, John D. Overton, Alan R. Shuldiner, Omri Gottesman, Steve Gao, Jesper Gromada, Aris Baras, Judith Altarejos

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

Lipodystrophies are a group of disorders characterized by absence or loss of adipose tissue and abnormal fat distribution, commonly accompanied bymetabolic dysregulation. Although considered rare disorders, their prevalence in the general population is not well understood. We aimed to evaluate the clinical and genetic prevalence of lipodystrophy disorders in a large clinical care cohort. We interrogated the electronic health record (EHR) information of >1.3 million adults from the Geisinger Health System for lipodystrophy diagnostic codes. We estimate a clinical prevalence of disease of 1 in 20,000 individuals. We performed genetic analyses in individuals with available genomic data to identify variants associated with inherited lipodystrophies and examined their EHR for comorbidities associated with lipodystrophy. We identified 16 individuals carrying the p.R482Q pathogenic variant in LMNA associated with Dunnigan familial partial lipodystrophy. Four had a clinical diagnosis of lipodystrophy,whereas the remaining had no documented clinical diagnosis despite having accompanying metabolic abnormalities. We observed a lipodystrophy-associated variant carrier frequency of 1 in 3,082 individuals in our cohortwith substantial burden ofmetabolic dysregulation. Weestimate a genetic prevalence of disease of ∼1 in7,000 in the general population. Partial lipodystrophy is an underdiagnosed condition. and its prevalence, as defined molecularly, is higher than previously reported.Genetically guided stratification of patients with common metabolic disorders, like diabetes and dyslipidemia, is an important step toward precision medicine.

Original languageEnglish
Pages (from-to)249-258
Number of pages10
JournalDiabetes
Volume69
Issue number2
DOIs
StatePublished - 1 Feb 2020
Externally publishedYes

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