Genetic Determinants of Long-Term Changes in Blood Lipid Concentrations: 10-Year Follow-Up of the GLACIER Study
Although large cross-sectional studies have proven highly successful in identifying gene variants related to lipid levels and other cardiometabolic traits, very few examples of well-designed longitudinal studies exist where associations between genotypes and long-term changes in lipids have been assessed. Here we undertook analyses in the GLACIER Study to determine whether the 157 previously identified lipid-associated genes variants associate with changes in blood lipid levels over 10-yr follow-up. We identified a variant in APOE that is robustly associated with total cholesterol change and two variants in TRIB1 and APOA1 respectively that are robustly associated with triglyceride change. We replicated these findings in a second Swedish cohort (the MDC Study). The identified genes had previously been associated with cardiovascular traits such as myocardial infarction or coronary heart disease; hence, these novel lipid associations provide additional insight into the pathogenesis of atherosclerotic heart and large vessel disease. By incorporating all 157 established variants into gene scores, we also observed strong associations with 10-yr lipid changes, illustrating the polygenic nature of blood lipid deterioration.
Vyšlo v časopise:
Genetic Determinants of Long-Term Changes in Blood Lipid Concentrations: 10-Year Follow-Up of the GLACIER Study. PLoS Genet 10(6): e32767. doi:10.1371/journal.pgen.1004388
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pgen.1004388
Souhrn
Although large cross-sectional studies have proven highly successful in identifying gene variants related to lipid levels and other cardiometabolic traits, very few examples of well-designed longitudinal studies exist where associations between genotypes and long-term changes in lipids have been assessed. Here we undertook analyses in the GLACIER Study to determine whether the 157 previously identified lipid-associated genes variants associate with changes in blood lipid levels over 10-yr follow-up. We identified a variant in APOE that is robustly associated with total cholesterol change and two variants in TRIB1 and APOA1 respectively that are robustly associated with triglyceride change. We replicated these findings in a second Swedish cohort (the MDC Study). The identified genes had previously been associated with cardiovascular traits such as myocardial infarction or coronary heart disease; hence, these novel lipid associations provide additional insight into the pathogenesis of atherosclerotic heart and large vessel disease. By incorporating all 157 established variants into gene scores, we also observed strong associations with 10-yr lipid changes, illustrating the polygenic nature of blood lipid deterioration.
Zdroje
1. VisscherPM, BrownMA, McCarthyMI, YangJ (2012) Five years of GWAS discovery. Am J Hum Genet 90: 7–24.
2. TeslovichTM, MusunuruK, SmithAV, EdmondsonAC, StylianouIM, et al. (2010) Biological, clinical and population relevance of 95 loci for blood lipids. Nature 466: 707–713.
3. Global Lipids Genetics Consortdium (2013) WillerCJ, SchmidtEM, SenguptaS, PelosoGM, et al. (2013) Discovery and refinement of loci associated with lipid levels. Nat Genet 45: 1274–1283.
4. MiddelbergRP, MartinNG, WhitfieldJB (2006) Longitudinal genetic analysis of plasma lipids. Twin Res Hum Genet 9: 550–557.
5. JohnsonAD, HandsakerRE, PulitSL, NizzariMM, O'DonnellCJ, et al. (2008) SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap. Bioinformatics 24: 2938–2939.
6. JostinsL, BarrettJC (2011) Genetic risk prediction in complex disease. Hum Mol Genet 20: R182–188.
7. LutseyPL, Rasmussen-TorvikLJ, PankowJS, AlonsoA, SmolenskiDJ, et al. (2012) Relation of lipid gene scores to longitudinal trends in lipid levels and incidence of abnormal lipid levels among individuals of European ancestry: the Atherosclerosis Risk in Communities (ARIC) study. Circ Cardiovasc Genet 5: 73–80.
8. VoightBF, PelosoGM, Orho-MelanderM, Frikke-SchmidtR, BarbalicM, et al. (2012) Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study. Lancet 380: 572–580.
9. CostanzaMC, Beer-BorstS, JamesRW, GaspozJM, MorabiaA (2012) Consistency between cross-sectional and longitudinal SNP: blood lipid associations. Eur J Epidemiol 27: 131–138.
10. LuY, FeskensEJ, BoerJM, ImholzS, VerschurenWM, et al. (2010) Exploring genetic determinants of plasma total cholesterol levels and their predictive value in a longitudinal study. Atherosclerosis 213: 200–205.
11. SabattiC, ServiceSK, HartikainenAL, PoutaA, RipattiS, et al. (2009) Genome-wide association analysis of metabolic traits in a birth cohort from a founder population. Nat Genet 41: 35–46.
12. AulchenkoYS, RipattiS, LindqvistI, BoomsmaD, HeidIM, et al. (2009) Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts. Nat Genet 41: 47–55.
13. Kiss-TothE, BagstaffSM, SungHY, JozsaV, DempseyC, et al. (2004) Human tribbles, a protein family controlling mitogen-activated protein kinase cascades. J Biol Chem 279: 42703–42708.
14. BurkhardtR, TohSA, LagorWR, BirkelandA, LevinM, et al. (2010) Trib1 is a lipid- and myocardial infarction-associated gene that regulates hepatic lipogenesis and VLDL production in mice. J Clin Invest 120: 4410–4414.
15. WillerCJ, SannaS, JacksonAU, ScuteriA, BonnycastleLL, et al. (2008) Newly identified loci that influence lipid concentrations and risk of coronary artery disease. Nat Genet 40: 161–169.
16. KathiresanS, MelanderO, GuiducciC, SurtiA, BurttNP, et al. (2008) Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans. Nat Genet 40: 189–197.
17. WaterworthDM, RickettsSL, SongK, ChenL, ZhaoJH, et al. (2010) Genetic variants influencing circulating lipid levels and risk of coronary artery disease. Arterioscler Thromb Vasc Biol 30: 2264–2276.
18. VarboA, BennM, Tybjaerg-HansenA, GrandeP, NordestgaardBG (2011) TRIB1 and GCKR polymorphisms, lipid levels, and risk of ischemic heart disease in the general population. Arterioscler Thromb Vasc Biol 31: 451–457.
19. SungHY, GuanH, CzibulaA, KingAR, EderK, et al. (2007) Human tribbles-1 controls proliferation and chemotaxis of smooth muscle cells via MAPK signaling pathways. J Biol Chem 282: 18379–18387.
20. DrenosF, TalmudPJ, CasasJP, SmeethL, PalmenJ, et al. (2009) Integrated associations of genotypes with multiple blood biomarkers linked to coronary heart disease risk. Hum Mol Genet 18: 2305–2316.
21. SmeltAH, de BeerF (2004) Apolipoprotein E and familial dysbetalipoproteinemia: clinical, biochemical, and genetic aspects. Semin Vasc Med 4: 249–257.
22. KathiresanS, WillerCJ, PelosoGM, DemissieS, MusunuruK, et al. (2009) Common variants at 30 loci contribute to polygenic dyslipidemia. Nat Genet 41: 56–65.
23. ElliottP, ChambersJC, ZhangW, ClarkeR, HopewellJC, et al. (2009) Genetic Loci associated with C-reactive protein levels and risk of coronary heart disease. JAMA 302: 37–48.
24. GolledgeJ, BirosE, CooperM, WarringtonN, PalmerLJ, et al. (2010) Apolipoprotein E genotype is associated with serum C-reactive protein but not abdominal aortic aneurysm. Atherosclerosis 209: 487–491.
25. KristianssonK, PerolaM, TikkanenE, KettunenJ, SurakkaI, et al. (2012) Genome-wide screen for metabolic syndrome susceptibility Loci reveals strong lipid gene contribution but no evidence for common genetic basis for clustering of metabolic syndrome traits. Circ Cardiovasc Genet 5: 242–249.
26. XuL, ZhouJ, HuangS, HuangY, LeY, et al. (2013) An association study between genetic polymorphisms related to lipoprotein-associated phospholipase A(2) and coronary heart disease. Exp Ther Med 5: 742–750.
27. TraganteV, DoevendansPA, NathoeHM, van der GraafY, SpieringW, et al. (2013) The impact of susceptibility loci for coronary artery disease on other vascular domains and recurrence risk. Eur Heart J 34: 2896–2904.
28. Hallmans G, Agren A, Johansson G, Johansson A, Stegmayr B, et al.. (2003) Cardiovascular disease and diabetes in the Northern Sweden Health and Disease Study Cohort - evaluation of risk factors and their interactions. Scand J Public Health Suppl 61: 18–24.
29. Norberg M, Wall S, Boman K, Weinehall L (2010) The Vasterbotten Intervention Programme: background, design and implications. Glob Health Action 3.
30. HedbladB, NilssonP, JanzonL, BerglundG (2000) Relation between insulin resistance and carotid intima-media thickness and stenosis in non-diabetic subjects. Results from a cross-sectional study in Malmo, Sweden. Diabet Med 17: 299–307.
31. ManjerJ, CarlssonS, ElmstahlS, GullbergB, JanzonL, et al. (2001) The Malmo Diet and Cancer Study: representativity, cancer incidence and mortality in participants and non-participants. Eur J Cancer Prev 10: 489–499.
32. American Heart Association (AHA) - What Your Cholesterol Levels Mean. Available: http://www.heart.org/HEARTORG/Conditions/Cholesterol/AboutCholesterol/What-Your-Cholesterol-Levels-Mean_UCM_305562_Article.jsp. Accessed 05 May 2013.
33. RosvallM, OstergrenPO, HedbladB, IsacssonSO, JanzonL, et al. (2000) Occupational status, educational level, and the prevalence of carotid atherosclerosis in a general population sample of middle-aged Swedish men and women: results from the Malmo Diet and Cancer Study. Am J Epidemiol 152: 334–346.
34. FriedewaldWT, LevyRI, FredricksonDS (1972) Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18: 499–502.
35. TobinMD, SheehanNA, ScurrahKJ, BurtonPR (2005) Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure. Stat Med 24: 2911–2935.
36. EliassonM, JanlertU, JanssonJH, StegmayrB (2006) Time trends in population cholesterol levels 1986–2004: influence of lipid-lowering drugs, obesity, smoking and educational level. The northern Sweden MONICA study. J Intern Med 260: 551–559.
37. WuJ, ProvinceMA, CoonH, HuntSC, EckfeldtJH, et al. (2007) An investigation of the effects of lipid-lowering medications: genome-wide linkage analysis of lipids in the HyperGEN study. BMC Genet 8: 60.
38. FranksPW, RolandssonO, DebenhamSL, FawcettKA, PayneF, et al. (2008) Replication of the association between variants in WFS1 and risk of type 2 diabetes in European populations. Diabetologia 51: 458–463.
39. RenstromF, PayneF, NordstromA, BritoEC, RolandssonO, et al. (2009) Replication and extension of genome-wide association study results for obesity in 4923 adults from northern Sweden. Hum Mol Genet 18: 1489–1496.
40. VoightBF, KangHM, DingJ, PalmerCD, SidoreC, et al. (2012) The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits. PLoS Genet 8: e1002793.
41. CornelisMC, QiL, ZhangC, KraftP, MansonJ, et al. (2009) Joint effects of common genetic variants on the risk for type 2 diabetes in U.S. men and women of European ancestry. Ann Intern Med 150: 541–550.
42. Fontaine-BissonB, RenstromF, RolandssonO, Magic, PayneF, et al. (2010) Evaluating the discriminative power of multi-trait genetic risk scores for type 2 diabetes in a northern Swedish population. Diabetologia 53: 2155–2162.
43. PurcellS, NealeB, Todd-BrownK, ThomasL, FerreiraMA, et al. (2007) PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 81: 559–575.
44. SAS Institute (2011) The SAS system for Windows, version 9.2. SAS Institute, Cary, NC, USA.
45. StataCorp (2011) Stata Statistical Software, version 12.1. College Station, TX: StataCorp LP, USA.
46. R Development Core Team (2008) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
47. Miller RG (1981) Simultaneous statistical inference. 2nd ed.: Springer Verlag. pp. 6–8.
48. Harris RJ, Deeks JJ, Altman DG, Bradburn MJ, Harbord RM, et al.. (2008) metan: fixed- and random-effects meta-analysis. The Stata Journal 8: pp. 3–28.
Štítky
Genetika Reprodukčná medicínaČlánok vyšiel v časopise
PLOS Genetics
2014 Číslo 6
- Je „freeze-all“ pro všechny? Odborníci na fertilitu diskutovali na virtuálním summitu
- Gynekologové a odborníci na reprodukční medicínu se sejdou na prvním virtuálním summitu
Najčítanejšie v tomto čísle
- Early Back-to-Africa Migration into the Horn of Africa
- PINK1-Mediated Phosphorylation of Parkin Boosts Parkin Activity in
- OsHUS1 Facilitates Accurate Meiotic Recombination in Rice
- An Operon of Three Transcriptional Regulators Controls Horizontal Gene Transfer of the Integrative and Conjugative Element ICE in B13