#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

The Effect of Elevated Body Mass Index on Ischemic Heart Disease Risk: Causal Estimates from a Mendelian Randomisation Approach


Background:
Adiposity, assessed as elevated body mass index (BMI), is associated with increased risk of ischemic heart disease (IHD); however, whether this is causal is unknown. We tested the hypothesis that positive observational associations between BMI and IHD are causal.

Methods and Findings:
In 75,627 individuals taken from two population-based and one case-control study in Copenhagen, we measured BMI, ascertained 11,056 IHD events, and genotyped FTO(rs9939609), MC4R(rs17782313), and TMEM18(rs6548238). Using genotypes as a combined allele score in instrumental variable analyses, the causal odds ratio (OR) between BMI and IHD was estimated and compared with observational estimates. The allele score-BMI and the allele score-IHD associations used to estimate the causal OR were also calculated individually. In observational analyses the OR for IHD was 1.26 (95% CI 1.19–1.34) for every 4 kg/m2 increase in BMI. A one-unit allele score increase associated with a 0.28 kg/m2 (95 CI% 0.20–0.36) increase in BMI and an OR for IHD of 1.03 (95% CI 1.01–1.05) (corresponding to an average 1.68 kg/m2 BMI increase and 18% increase in the odds of IHD for those carrying all six BMI increasing alleles). In instrumental variable analysis using the same allele score the causal IHD OR for a 4 kg/m2 increase in BMI was 1.52 (95% CI 1.12–2.05).

Conclusions:
For every 4 kg/m2 increase in BMI, observational estimates suggested a 26% increase in odds for IHD while causal estimates suggested a 52% increase. These data add evidence to support a causal link between increased BMI and IHD risk, though the mechanism may ultimately be through intermediate factors like hypertension, dyslipidemia, and type 2 diabetes. This work has important policy implications for public health, given the continuous nature of the BMI-IHD association and the modifiable nature of BMI. This analysis demonstrates the value of observational studies and their ability to provide unbiased results through inclusion of genetic data avoiding confounding, reverse causation, and bias.

: Please see later in the article for the Editors' Summary


Vyšlo v časopise: The Effect of Elevated Body Mass Index on Ischemic Heart Disease Risk: Causal Estimates from a Mendelian Randomisation Approach. PLoS Med 9(5): e32767. doi:10.1371/journal.pmed.1001212
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pmed.1001212

Souhrn

Background:
Adiposity, assessed as elevated body mass index (BMI), is associated with increased risk of ischemic heart disease (IHD); however, whether this is causal is unknown. We tested the hypothesis that positive observational associations between BMI and IHD are causal.

Methods and Findings:
In 75,627 individuals taken from two population-based and one case-control study in Copenhagen, we measured BMI, ascertained 11,056 IHD events, and genotyped FTO(rs9939609), MC4R(rs17782313), and TMEM18(rs6548238). Using genotypes as a combined allele score in instrumental variable analyses, the causal odds ratio (OR) between BMI and IHD was estimated and compared with observational estimates. The allele score-BMI and the allele score-IHD associations used to estimate the causal OR were also calculated individually. In observational analyses the OR for IHD was 1.26 (95% CI 1.19–1.34) for every 4 kg/m2 increase in BMI. A one-unit allele score increase associated with a 0.28 kg/m2 (95 CI% 0.20–0.36) increase in BMI and an OR for IHD of 1.03 (95% CI 1.01–1.05) (corresponding to an average 1.68 kg/m2 BMI increase and 18% increase in the odds of IHD for those carrying all six BMI increasing alleles). In instrumental variable analysis using the same allele score the causal IHD OR for a 4 kg/m2 increase in BMI was 1.52 (95% CI 1.12–2.05).

Conclusions:
For every 4 kg/m2 increase in BMI, observational estimates suggested a 26% increase in odds for IHD while causal estimates suggested a 52% increase. These data add evidence to support a causal link between increased BMI and IHD risk, though the mechanism may ultimately be through intermediate factors like hypertension, dyslipidemia, and type 2 diabetes. This work has important policy implications for public health, given the continuous nature of the BMI-IHD association and the modifiable nature of BMI. This analysis demonstrates the value of observational studies and their ability to provide unbiased results through inclusion of genetic data avoiding confounding, reverse causation, and bias.

: Please see later in the article for the Editors' Summary


Zdroje

1. MansonJEColditzGAStampferMJWillettWCRosnerB 1990 A prospective study of obesity and risk of coronary heart disease in women. N Engl J Med 322 882 889

2. Prospective StudiesCWhitlockGLewingtonSSherlikerPClarkeR 2009 Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet 373 1083 1096

3. Ni MhurchuCRodgersAPanWHGuDFWoodwardM 2004 Body mass index and cardiovascular disease in the Asia-Pacific Region: an overview of 33 cohorts involving 310 000 participants. Int J Epidemiol 33 751 758

4. KurthTGazianoJMRexrodeKMKaseCSCookNR 2005 Prospective study of body mass index and risk of stroke in apparently healthy women. Circulation 111 1992 1998

5. ZhengWMcLerranDFRollandBZhangXInoueM 2011 Association between body-mass index and risk of death in more than 1 million Asians. N Engl J Med 364 719 729

6. SongYMSungJDavey SmithGEbrahimSSongY-M 2004 Body mass index and ischemic and hemorrhagic stroke: a prospective study in Korean men. Stroke 35 831 836

7. BogersRPBemelmansWJHoogenveenRTBoshuizenHCWoodwardM 2007 Association of overweight with increased risk of coronary heart disease partly independent of blood pressure and cholesterol levels: a meta-analysis of 21 cohort studies including more than 300 000 persons. Arch Intern Med 167 1720 1728

8. RexrodeKMHennekensCHWillettWCColditzGAStampferMJ 1997 A prospective study of body mass index, weight change, and risk of stroke in women. JAMA 277 1539 1545

9. ZhouMOfferAYangGSmithMHuiG 2008 Body mass index, blood pressure, and mortality from stroke: a nationally representative prospective study of 212,000 Chinese men. Stroke 39 753 759

10. ShaharE 2009 The association of body mass index with health outcomes: causal, inconsistent, or confounded? Am J Epidemiol 170 957 958

11. FlegalKMGraubardBIWilliamsonDFCooperRS 2011 Reverse causation and illness-related weight loss in observational studies of body weight and mortality. Am J Epidemiol 173 1 9

12. GreenbergJA 2006 Correcting biases in estimates of mortality attributable to obesity. Obesity 14 2071 2079

13. Davey SmithGEbrahimS 2003 ‘Mendelian Randomisation’: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol 32 1 22

14. SpeliotesEKWillerCJBerndtSIMondaKLThorleifssonG 2010 Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42 937 948

15. GreenlandS 2000 An introduction to instrumental variables for epidemiologists. Int J Epidemiol 29 722 729

16. ChurchCMoirLMcMurrayFChristopheGBanksGT 2010 Overexpression of Fto leads to increased food intake and results in obesity. Nat Genet 42 1086 1093

17. ChurchCLeeSBaggEAMcTaggartJSDeaconR 2009 A mouse model for the metabolic effects of the human fat mass and obesity associated FTO gene. PLoS Genetics 5 e1000599 doi:10.1371/journal.pgen.1000599

18. TungYCAyusoEShanXBoschFO'RahillyS 2010 Hypothalamic-specific manipulation of Fto, the ortholog of the human obesity gene FTO, affects food intake in rats. PLoS ONE 5 e8771 doi:10.1371/journal.pone.0008771

19. GerkenTGirardCATungYLWebbyCJSaudekV 2007 The obesity-associated FTO gene encodes a 2-oxoglutarate-dependent nucleic acid demethylase. Science 318 1469 1472

20. TimpsonNJEmmettPFraylingTMRogersIHattersleyAT 2008 The FTO/obesity associated locus and dietary intake in children. Am J Clin Nutr 88 971 978

21. FischerJKochLEmmerlingCVierkottenJPetersT 2009 Inactivation of the Fto gene protects from obesity. Nature 458 894 898

22. HubacekJAStanekVGebauerovaMPilipcincovaADlouhaD 2010 A FTO variant and risk of acute coronary syndrome. Clinica Chimica Acta 411 1069 1072

23. DoneyASFDannfaldJKimberCHDonnellyLAPearsonE 2009 The FTO gene is associated with an atherogenic lipid profile and myocardial infarction in patients with type 2 diabetes: a Genetics of Diabetes Audit and Research Study in Tayside Scotland (Go-DARTS) study. Circ Cardiovasc Genet 2 255 259

24. FreathyRMTimpsonNJLawlorDAPoutaABen-ShlomoY 2008 Common variation in the FTO gene has a metabolic impact consistent with its effect on BMI. Diabetes 57 1419 1426

25. PalmerTMLawlorDAHarbordRMSheehanNATobiasJH 2011 Using multiple genetic variants as instrumental variables for modifiable risk factors. Stat Methods Med Res In press

26. NordestgaardBGBennMSchnohrPTybjaerg-HansenA 2007 Nonfasting triglycerides and risk of myocardial infarction, ischemic heart disease, and death in men and women. JAMA 298 299 308

27. Frikke-SchmidtRNordestgaardBGSteneMCASethiAARemaleyAT 2008 Association of loss-of-function mutations in the ABCA1 gene with high-density lipoprotein cholesterol levels and risk of ischemic heart disease. JAMA 299 2524 2532

28. ZachoJTybjaerg-HansenAJensenJSGrandePSillensenH 2008 Genetically elevated C-reactive protein and ischaemic vascular disease. N Engl J Med 359 1897 1908

29. KamstrupPRTybjaerg-HansenASteffensenRNordestgaardBG 2009 Genetically elevated Lipoprotein(a) and increased risk of myocardial infarction. JAMA 301 2331 2339

30. WillerCJSannaSJacksonAUScuteriABonnycastleLL 2008 Newly identified loci that influence lipid concentrations and risk of coronary artery disease. Nat Genet 40 161 169

31. TimpsonNJHarbordRDavey SmithGZachoJTybjaerg-HansenA 2009 Does greater adiposity increase blood pressure and hypertension risk? Mendelian randomisation using FTO/MC4R genotype. Hypertension 54 84 90

32. TobinMDSheehanNAScurrahKJBurtonPR 2005 Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure. Stat Med 24 2911 2935

33. DidelezVMengS 2010 Assumptions of IV methods for observational epidemiology. Stat Sci 25 22 40

34. ThomasDCLawlorDAThompsonJRThomasDCLawlorDA 2007 re: Estimation of bias in nongenetic observational studies using “Mendelian triangulation” by Bautista et al. Ann Epidemiol 17 511 513

35. VansteelandtSGoetghebeurE 2003 Causal inference with generalised structural mean models. J R Stat Soc Series B Stat Methodol 65 817 835

36. HansenLP 1982 Large sample properties of generalized method of moments estimators. Econometrica 50 1029 1054

37. HarrisR 2008 metan: fixed- and random-effects meta-analysis. Stata J 8 3 28

38. ClarkeRShipleyMLewingtonSYoungmanLCollinsR 1999 Underestimation of risk associations due to regression dilution in long-term follow-up of prospective studies. Am J Epidemiol 150 341 353

39. FraylingTMTimpsonNJWeedonMNZegginiEFreathyRM 2007 A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 316 889 894

40. LawlorDAHarbordRMSterneJACTimpsonNJDavey SmithG 2008 Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology. Stat Med 27 1133 1163

41. WaddingtonCH 1942 Canalisation of development and the inheritance of acquireed characters. Nature 150 563 565

42. YusufSHawkenSOunpuuSBautistaLFranzosiMG 2005 Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet 366 1640 1649

43. TimpsonNJNordestgaardBGHarbordRMZachoJFraylingTM 2010 C-reactive protein levels and body mass index: elucidating direction of causation through reciprocal Mendelian randomization. Int J Obes (Lond) 35 300 308

44. TimpsonNJLawlorDAHarbordRGauntTRDayIN 2005 C-reactive protein and metabolic syndrome: Mendelian randomisation suggests associations are non-causal. Lancet 366 1954 1959

45. BjorgeTEngelandATverdalADavey SmithG 2008 Body mass index in adolescence in relation to cause-specific mortality: a follow-up of 230,000 Norwegian adolescents. Am J Epidemiol 168 30 37

46. Davey SmithGSterneJAFraserATyneliusPLawlorDA 2009 The association between BMI and mortality using offspring BMI as an indicator of own BMI: large intergenerational mortality study. BMJ 339 b5043

Štítky
Interné lekárstvo

Článok vyšiel v časopise

PLOS Medicine


2012 Číslo 5
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Získaná hemofilie - Povědomí o nemoci a její diagnostika
nový kurz

Eozinofilní granulomatóza s polyangiitidou
Autori: doc. MUDr. Martina Doubková, Ph.D.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#