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Acta Diabetologica

, Volume 52, Issue 4, pp 743–751 | Cite as

Analysis of a cardiovascular disease genetic risk score in the Diabetes Heart Study

  • Laura M. Raffield
  • Amanda J. Cox
  • J. Jeffrey Carr
  • Barry I. Freedman
  • Pamela J. Hicks
  • Carl D. Langefeld
  • Fang-Chi Hsu
  • Donald W. BowdenEmail author
Original Article

Abstract

Aims

It remains unclear whether the high cardiovascular disease (CVD) burden in people with type 2 diabetes (T2D) is associated with genetic variants that contribute to CVD in general populations. Recent studies have examined genetic risk scores of single-nucleotide polymorphisms (SNPs) identified by genome-wide association studies for their cumulative contribution to CVD-related traits. Most analyses combined SNPs associated with a single phenotypic class, e.g., lipids. In the present analysis, we examined a more comprehensive risk score comprised of SNPs associated with a broad range of CVD risk phenotypes.

Methods

The composite risk score was analyzed for potential associations with subclinical CVD, self-reported CVD events, and mortality in 983 T2D-affected individuals of European descent from 466 Diabetes Heart Study (DHS) families. Genetic association was examined using marginal models with generalized estimating equations for subclinical CVD and prior CVD events and Cox proportional hazards models with sandwich-based variance estimation for mortality; analyses were adjusted for age and sex.

Results

An increase in genetic risk score was significantly associated with higher levels of coronary artery calcified plaque (p = 1.23 × 10−4); however, no significant associations with self-reported myocardial infarction and CVD events and all-cause and CVD mortality were observed.

Conclusions

These results suggest that a genetic risk score of SNPs associated with CVD events and risk factors does not significantly account for CVD risk in the DHS, highlighting the limitations of applying current genetic markers for CVD in individuals with diabetes.

Keywords

Type 2 diabetes Mortality Coronary artery calcification Genetic risk score 

Notes

Acknowledgments

The authors thank the other investigators, the staff, and the participants of the DHS study for their valuable contributions. This study was supported by the National Institutes of Health through R01 HL67348 and R01 HL092301 (to DWB), R01 AR48797 (to JJC), and F31 AG044879 (to LMR).

Conflict of interest

None.

Ethical standard

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national, Wake Forest School of Medicine Institutional Review Board) and with the Helsinki Declaration of 1975, as revised in 2008 (5).

Informed consent

Informed consent was obtained from all patients for being included in the study.

Supplementary material

592_2015_720_MOESM1_ESM.pdf (364 kb)
Supplementary material 1 (PDF 363 kb)
592_2015_720_MOESM2_ESM.pdf (571 kb)
Supplementary material 2 (PDF 571 kb)
592_2015_720_MOESM3_ESM.pdf (30 kb)
Supplementary material 3 (PDF 30 kb)
592_2015_720_MOESM4_ESM.pdf (30 kb)
Supplementary material 4 (PDF 30 kb)

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Copyright information

© Springer-Verlag Italia 2015

Authors and Affiliations

  • Laura M. Raffield
    • 1
    • 2
    • 3
  • Amanda J. Cox
    • 2
    • 3
    • 4
  • J. Jeffrey Carr
    • 5
  • Barry I. Freedman
    • 6
  • Pamela J. Hicks
    • 2
    • 3
    • 4
  • Carl D. Langefeld
    • 7
  • Fang-Chi Hsu
    • 7
  • Donald W. Bowden
    • 2
    • 3
    • 4
    • 8
    Email author
  1. 1.Molecular Genetics and Genomics ProgramWake Forest School of MedicineWinston-SalemUSA
  2. 2.Center for Human GenomicsWake Forest School of MedicineWinston-SalemUSA
  3. 3.Center for Diabetes ResearchWake Forest School of MedicineWinston-SalemUSA
  4. 4.Department of BiochemistryWake Forest School of MedicineWinston-SalemUSA
  5. 5.Department of RadiologyVanderbilt University Medical CenterNashvilleUSA
  6. 6.Department of Internal Medicine - NephrologyWake Forest School of MedicineWinston-SalemUSA
  7. 7.Department of Biostatistical SciencesWake Forest School of MedicineWinston-SalemUSA
  8. 8.Center for Genomics and Personalized Medicine ResearchWake Forest School of MedicineWinston-SalemUSA

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