| Literature DB >> 31836692 |
Claudia Gonzaga-Jauregui1, Wenzhen Ge2, Jeffrey Staples3, Cristopher Van Hout3, Ashish Yadav3, Ryan Colonie4, Joseph B Leader4, H Lester Kirchner4, Michael F Murray4, Jeffrey G Reid3, David J Carey4, John D Overton3, Alan R Shuldiner3, Omri Gottesman3, Steve Gao2, Jesper Gromada2, Aris Baras3, Judith Altarejos.
Abstract
Lipodystrophies are a group of disorders characterized by absence or loss of adipose tissue and abnormal fat distribution, commonly accompanied by metabolic 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 cohort with substantial burden of metabolic dysregulation. We estimate a genetic prevalence of disease of ∼1 in 7,000 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.Entities:
Year: 2019 PMID: 31836692 DOI: 10.2337/db19-0447
Source DB: PubMed Journal: Diabetes ISSN: 0012-1797 Impact factor: 9.461