BBC Russian
Svoboda | Graniru | BBC Russia | Golosameriki | Facebook

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Pleiotropic effects of lipid genes on plasma glucose, HbA1c, and HOMA-IR levels.

Author information

Affiliations

  • 1. Department of Molecular Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China.
      Authors
    • Li N 1
    (1 author)
  • 2. Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
      Authors
    • van der Sijde MR 2
    • Wijmenga C 2
    (2 authors)
  • 3. Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
      Authors
    • Bakker SJ 3
    • Gansevoort RT 3
    (2 authors)
  • 4. Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
      Authors
    • Dullaart RP 4
    (1 author)
  • 5. Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
      Authors
    • van der Harst P 5
    (1 author)
    • Show all (9)

ORCIDs linked to this article

Diabetes, 10 Apr 2014, 63(9):3149-3158
https://doi.org/10.2337/db13-1800 PMID: 24722249 

Abstract 

Dyslipidemia is strongly associated with raised plasma glucose levels and insulin resistance (IR), and genome-wide association studies have identified 95 loci that explain a substantial proportion of the variance in blood lipids. However, the loci's effects on glucose-related traits are largely unknown. We have studied these lipid loci and tested their association collectively and individually with fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and IR in two independent cohorts: 10,995 subjects from LifeLines Cohort Study and 2,438 subjects from Prevention of Renal and Vascular Endstage Disease (PREVEND) study. In contrast to the positive relationship between dyslipidemia and glucose traits, the genetic predisposition to dyslipidemia showed a pleiotropic lowering effect on glucose traits. Specifically, the genetic risk score related to higher triglyceride level was correlated with lower levels of FPG (P = 9.6 × 10(-10) and P = 0.03 in LifeLines and PREVEND, respectively), HbA1c (P = 4.2 × 10(-7) in LifeLines), and HOMA of estimated IR (P = 6.2 × 10(-4) in PREVEND), after adjusting for blood lipid levels. At the single nucleotide polymorphism level, 15 lipid loci showed a pleiotropic association with glucose traits (P < 0.01), of which eight (CETP, MLXIPL, PLTP, GCKR, APOB, APOE-C1-C2, CYP7A1, and TIMD4) had opposite allelic directions of effect on dyslipidemia and glucose levels. Our findings suggest a complex genetic regulation and metabolic interplay between lipids and glucose.

Full text links 

Read article at publisher's site: https://doi.org/10.2337/db13-1800

Read article for free, from open access legal sources, via Unpaywall: https://diabetes.diabetesjournals.org/content/diabetes/63/9/3149.full.pdfUnpaywall

References 

Articles referenced by this article (37)

Show 10 more references (10 of 37)

Citations & impact 

Impact metrics

47
Citations
Jump to Citations

Citations of article over time

Alternative metrics

Altmetric item for https://www.altmetric.com/details/2273413
Altmetric
Discover the attention surrounding your research
https://www.altmetric.com/details/2273413

Smart citations by scite.ai
Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by EuropePMC if one paper cites another multiple times or lower if scite has not yet processed some of the citing articles.
Explore citation contexts and check if this article has been supported or disputed.
https://scite.ai/reports/10.2337/db13-1800

Supporting
Mentioning
Contrasting
5
51
0

Article citations

Go to all (47) article citations

Similar Articles 

To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.