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A Type 1 Diabetes Polygenic Score Is Not Associated With Prevalent Type 2 Diabetes in Large Population Studies.
Srinivasan, Shylaja; Wu, Peitao; Mercader, Josep M; Udler, Miriam S; Porneala, Bianca C; Bartz, Traci M; Floyd, James S; Sitlani, Colleen; Guo, Xiquing; Haessler, Jeffrey; Kooperberg, Charles; Liu, Jun; Ahmad, Shahzad; van Duijn, Cornelia; Liu, Ching-Ti; Goodarzi, Mark O; Florez, Jose C; Meigs, James B; Rotter, Jerome I; Rich, Stephen S; Dupuis, Josée; Leong, Aaron.
Afiliação
  • Srinivasan S; Division of Pediatric Endocrinology, University of California at San Francisco, San Francisco, CA 94158, USA.
  • Wu P; Department of Biostatistics, Boston University School of Public Health, Boston, MA 02215, USA.
  • Mercader JM; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
  • Udler MS; Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard & Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
  • Porneala BC; Center for Genomic Medicine and Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Bartz TM; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
  • Floyd JS; Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard & Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
  • Sitlani C; Center for Genomic Medicine and Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Guo X; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Haessler J; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.
  • Kooperberg C; Cardiovascular Health Research Unit, University of Washington, Seattle, WA 98195, USA.
  • Liu J; Cardiovascular Health Research Unit, University of Washington, Seattle, WA 98195, USA.
  • Ahmad S; Department of Medicine, University of Washington, Seattle, WA 98195, USA.
  • van Duijn C; Department of Epidemiology, University of Washington, Seattle, WA 98195, USA.
  • Liu CT; Cardiovascular Health Research Unit, University of Washington, Seattle, WA 98195, USA.
  • Goodarzi MO; Department of Medicine, University of Washington, Seattle, WA 98195, USA.
  • Florez JC; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
  • Meigs JB; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
  • Rotter JI; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
  • Rich SS; Department of Epidemiology, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands.
  • Dupuis J; Nuffield Department of Population Health, University of Oxford, Oxford OX1 2JD, UK.
  • Leong A; Department of Epidemiology, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands.
J Endocr Soc ; 7(11): bvad123, 2023 Oct 09.
Article em En | MEDLINE | ID: mdl-37841955
ABSTRACT
Context Both type 1 diabetes (T1D) and type 2 diabetes (T2D) have significant genetic contributions to risk and understanding their overlap can offer clinical insight.

Objective:

We examined whether a T1D polygenic score (PS) was associated with a diagnosis of T2D in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

Methods:

We constructed a T1D PS using 79 known single nucleotide polymorphisms associated with T1D risk. We analyzed 13 792 T2D cases and 14 169 controls from CHARGE cohorts to determine the association between the T1D PS and T2D prevalence. We validated findings in an independent sample of 2256 T2D cases and 27 052 controls from the Mass General Brigham Biobank (MGB Biobank). As secondary analyses in 5228 T2D cases from CHARGE, we used multivariable regression models to assess the association of the T1D PS with clinical outcomes associated with T1D.

Results:

The T1D PS was not associated with T2D both in CHARGE (P = .15) and in the MGB Biobank (P = .87). The partitioned human leukocyte antigens only PS was associated with T2D in CHARGE (OR 1.02 per 1 SD increase in PS, 95% CI 1.01-1.03, P = .006) but not in the MGB Biobank. The T1D PS was weakly associated with insulin use (OR 1.007, 95% CI 1.001-1.012, P = .03) in CHARGE T2D cases but not with other outcomes.

Conclusion:

In large biobank samples, a common variant PS for T1D was not consistently associated with prevalent T2D. However, possible heterogeneity in T2D cannot be ruled out and future studies are needed do subphenotyping.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Endocr Soc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Endocr Soc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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