Clinical and Molecular Prevalence of Lipodystrophy in an Unascertained Large Clinical Care Cohort.


Journal

Diabetes
ISSN: 1939-327X
Titre abrégé: Diabetes
Pays: United States
ID NLM: 0372763

Informations de publication

Date de publication:
02 2020
Historique:
received: 02 05 2019
accepted: 18 11 2019
pubmed: 15 12 2019
medline: 3 7 2020
entrez: 15 12 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 31836692
pii: db19-0447
doi: 10.2337/db19-0447
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

249-258

Informations de copyright

© 2019 by the American Diabetes Association.

Auteurs

Claudia Gonzaga-Jauregui (C)

Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY judith.altarejos@regeneron.com clau.gonzagajauregui@regeneron.com.

Wenzhen Ge (W)

Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

Jeffrey Staples (J)

Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

Cristopher Van Hout (C)

Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

Ashish Yadav (A)

Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

Ryan Colonie (R)

Geisinger Health System, Danville, PA.

Joseph B Leader (JB)

Geisinger Health System, Danville, PA.

H Lester Kirchner (HL)

Geisinger Health System, Danville, PA.

Michael F Murray (MF)

Geisinger Health System, Danville, PA.

Jeffrey G Reid (JG)

Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

David J Carey (DJ)

Geisinger Health System, Danville, PA.

John D Overton (JD)

Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

Alan R Shuldiner (AR)

Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

Omri Gottesman (O)

Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

Steve Gao (S)

Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

Jesper Gromada (J)

Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

Aris Baras (A)

Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY.

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Classifications MeSH