Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations-Reference-Cited by-同舟云学术

Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations

Published:2021-08 Issue:4 Volume:14 Page:
ISSN:2574-8300
Container-title:Circulation: Genomic and Precision Medicine
language:en
Short-container-title:Circ: Genomic and Precision Medicine

Author:

Haslam Danielle E.¹²³^ORCID,Peloso Gina M.⁴,Guirette Melanie¹^ORCID,Imamura Fumiaki⁵^ORCID,Bartz Traci M.⁶⁷,Pitsillides Achilleas N.⁴^ORCID,Wang Carol A.⁸^ORCID,Li-Gao Ruifang⁹,Westra Jason M.¹⁰^ORCID,Pitkänen Niina¹¹¹²,Young Kristin L.¹³^ORCID,Graff Mariaelisa¹³^ORCID,Wood Alexis C.¹⁴,Braun Kim V.E.¹⁵,Luan Jian’an⁵^ORCID,Kähönen Mika¹⁶¹⁷,Kiefte-de Jong Jessica C.¹⁸¹⁵^ORCID,Ghanbari Mohsen¹⁵,Tintle Nathan¹⁰^ORCID,Lemaitre Rozenn N.⁷^ORCID,Mook-Kanamori Dennis O.⁹¹⁸,North Kari¹³¹⁹,Helminen Mika²⁰²¹^ORCID,Mossavar-Rahmani Yasmin²²^ORCID,Snetselaar Linda²³^ORCID,Martin Lisa W.²⁴^ORCID,Viikari Jorma S.²⁵²⁶^ORCID,Oddy Wendy H.²⁷,Pennell Craig E.²⁸⁸^ORCID,Rosendall Frits R.⁹^ORCID,Ikram M. Arfan¹⁵,Uitterlinden Andre G²⁹,Psaty Bruce M.⁷³⁰³¹,Mozaffarian Dariush³²^ORCID,Rotter Jerome I.³³,Taylor Kent D.³³,Lehtimäki Terho³⁴³⁵,Raitakari Olli T.¹²³⁶³⁷,Livingston Kara A.¹,Voortman Trudy,Forouhi Nita G.⁵,Wareham Nick J.⁵,de Mutsert Renée⁹,Rich Steven S.³⁸,Manson JoAnn E.²³⁹⁴⁰,Mora Samia³⁹⁴¹^ORCID,Ridker Paul M.³⁹⁴¹^ORCID,Merino Jordi⁴²⁴³⁴⁴⁴⁵⁴⁶^ORCID,Meigs James B.⁴²⁴³⁴⁴⁴⁷^ORCID,Dashti Hassan S.⁴²⁴⁶⁴⁸^ORCID,Chasman Daniel I.³⁹^ORCID,Lichtenstein Alice H.⁴⁹,Smith Caren E.^ORCID,Dupuis Josée⁴^ORCID,Herman Mark A.⁵⁰^ORCID,McKeown Nicola M.¹^ORCID

Affiliation:

1. Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA.

2. Channing Division of Network Medicine (D.E.H., J.E.M.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.

3. Department of Nutrition (D.E.H.), Harvard T.H. Chan School of Public Health, Boston, MA.

4. Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.).

5. Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.).

6. Cardiovascular Health Research Unit, Departments of Biostatistics (T.M.B.), University of Washington, Seattle.

7. Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle.

8. School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, NSW, Australia (C.A.W., C.E.P.).

9. Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands.

10. Dordt University, Sioux Center, IA (J.M.W., N.T.).

11. Auria Biobank (N.P.), University of Turku, Finland.

12. Research Centre of Applied and Preventive Cardiovascular Medicine (N.P., O.T.R.), University of Turku, Finland.

13. Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill.

14. USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX (A.C.W.).

15. Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands.

16. Department of Clinical Physiology (M.K.), Tampere University Hospital, Finland.

17. Department of Clinical Physiology (M.K.), Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Finland.

18. Department of Public Health and Primary Care (J.C.L.d.J., D.O.M.-K.), Leiden University Medical Center, the Netherlands.

19. Carolina Center for Genome Science (K.N.), University of North Carolina, Chapel Hill.

20. Research Development and Innovation Centre (M.H.), Tampere University Hospital, Finland.

21. Faculty of Social Sciences, Health Sciences, Tampere University, Finland (M.H.).

22. Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (Y.M.-R.).

23. Department of Epidemiology, University of Iowa, Iowa City (L.S.).

24. George Washington University School of Medicine and Health Sciences, Washington, D.C. (L.W.M.).

25. Department of Medicine (J.S.V.), University of Turku, Finland.

26. Division of Medicine (J.S.V.), Turku University Hospital, Finland.

27. Menzies Institute for Medical Research, University of Tasmania, HOB, Australia (W.H.O.).

28. Nutrition and Genomics Laboratory (C.E.S.), Tufts University, Boston, MA.

29. Department of Internal Medicine (A.G.U.), Erasmus MC University Medical Center Rotterdam, the Netherlands.

30. Departments of Epidemiology and Health Services (B.M.P.), University of Washington, Seattle.

31. Kaiser Permanente Washington Health Research Institute, Seattle, WA (B.M.P.).

32. Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, and Friedman School of Nutrition Science and Policy (D.M.), Tufts University, Boston, MA.

33. The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA (J.I.R., K.D.T.).

34. Department of Clinical Chemistry (T.L.), Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Finland.

35. Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland (T.L.).

36. Centre for Population Health Research (O.T.R.), University of Turku, Finland.

37. Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Finland.

38. Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville (S.S.R.).

39. Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.

40. Department of Epidemiology (J.E.M.), Harvard T.H. Chan School of Public Health, Boston, MA.

41. Cardiovascular Division of Medicine and Center for Lipid Metabolomics (S.M., P.M.R.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.

42. Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.

43. Program in Metabolism (J.M., J.B.M.), Broad Institute of MIT and Harvard, Cambridge, MA.

44. Department of Medicine, Harvard Medical School, Boston, MA (J.M., J.B.M.).

45. Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain (J.M.).

46. Diabetes Unit and Center for Genomic Medicine (J.M., H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston.

47. Division of General Internal Medicine (J.B.M.), Massachusetts General Hospital and Harvard Medical School, Boston.

48. Department of Anesthesia, Critical Care and Pain Medicine (H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston.

49. Cardiovascular Nutrition Laboratory (A.H.L.), Tufts University, Boston, MA.

50. Division Of Endocrinology, Metabolism, and Nutrition, Department of Medicine and Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC (M.A.H.).

Abstract

Background: ChREBP (carbohydrate responsive element binding protein) is a transcription factor that responds to sugar consumption. Sugar-sweetened beverage (SSB) consumption and genetic variants in the CHREBP locus have separately been linked to HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations. We hypothesized that SSB consumption would modify the association between genetic variants in the CHREBP locus and dyslipidemia. Methods: Data from 11 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (N=63 599) and the UK Biobank (N=59 220) were used to quantify associations of SSB consumption, genetic variants, and their interaction on HDL-C and triglyceride concentrations using linear regression models. A total of 1606 single nucleotide polymorphisms within or near CHREBP were considered. SSB consumption was estimated from validated questionnaires, and participants were grouped by their estimated intake. Results: In a meta-analysis, rs71556729 was significantly associated with higher HDL-C concentrations only among the highest SSB consumers (β, 2.12 [95% CI, 1.16–3.07] mg/dL per allele; P <0.0001), but not significantly among the lowest SSB consumers ( P =0.81; P Diff <0.0001). Similar results were observed for 2 additional variants (rs35709627 and rs71556736). For triglyceride, rs55673514 was positively associated with triglyceride concentrations only among the highest SSB consumers (β, 0.06 [95% CI, 0.02–0.09] ln-mg/dL per allele, P =0.001) but not the lowest SSB consumers ( P =0.84; P Diff =0.0005). Conclusions: Our results identified genetic variants in the CHREBP locus that may protect against SSB-associated reductions in HDL-C and other variants that may exacerbate SSB-associated increases in triglyceride concentrations. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT00005133, NCT00005121, NCT00005487, and NCT00000479.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Link

https://www.ahajournals.org/doi/pdf/10.1161/CIRCGEN.120.003288

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