4.8 Article

Role of circulating polyunsaturated fatty acids on cardiovascular diseases risk: analysis using Mendelian randomization and fatty acid genetic association data from over 114,000 UK Biobank participants

Journal

BMC MEDICINE
Volume 20, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12916-022-02399-w

Keywords

Fatty acids; Cardiovascular diseases; Mendelian randomization

Funding

  1. Bristol BHF Accelerator Award [AA/18/7/34219]
  2. UK Medical Research Council Integrative Epidemiology Unit [MC_UU_00011/1, MC_UU_00011/4, MC_UU_00011/6, MC_ UU_00011/7]
  3. UK Medical Research Council Skills Development Fellowship [MR/P014054/1]
  4. University of Bristol
  5. Cancer Research UK [C52724/A20138, C18281/A29019]
  6. Academy of Medical Sciences (AMS) Springboard Award
  7. Wellcome Trust
  8. Government Department of Business, Energy and Industrial Strategy (BEIS)
  9. British Heart Foundation
  10. Diabetes UK [SBF006\1117]
  11. Royal Society [208806/Z/17/Z]
  12. UK Medical Research Council
  13. British Heart Foundation Intermediate Clinical Research Fellowship [FS/18/23/33512]
  14. National Institute for Health Research Oxford Biomedical Research Centre
  15. National Institute for Health Research (NIHR) Biomedical Research Centre based at University Hospitals Bristol NHS Foundation
  16. BHF Chair of Cardiovascular Science and Clinical Epidemiology [CH/F/20/90003]
  17. National Institute of Health Research [NF-0616-10102]
  18. MRC [MC_UU_00011/7, MC_UU_00011/6] Funding Source: UKRI

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Despite early interest in the health effects of PUFA, there is still controversy and uncertainty regarding the link between PUFA and CVDs. This study used Mendelian randomization to investigate the effect of plasma PUFA concentration on the risk of CVDs and found no protective role of PUFA.
Background Despite early interest in the health effects of polyunsaturated fatty acids (PUFA), there is still substantial controversy and uncertainty on the evidence linking PUFA to cardiovascular diseases (CVDs). We investigated the effect of plasma concentration of omega-3 PUFA (i.e. docosahexaenoic acid (DHA) and total omega-3 PUFA) and omega-6 PUFA (i.e. linoleic acid and total omega-6 PUFA) on the risk of CVDs using Mendelian randomization. Methods We conducted the largest genome-wide association study (GWAS) of circulating PUFA to date including a sample of 114,999 individuals and incorporated these data in a two-sample Mendelian randomization framework to investigate the involvement of circulating PUFA on a wide range of CVDs in up to 1,153,768 individuals of European ancestry (i.e. coronary artery disease, ischemic stroke, haemorrhagic stroke, heart failure, atrial fibrillation, peripheral arterial disease, aortic aneurysm, venous thromboembolism and aortic valve stenosis). Results GWAS identified between 46 and 64 SNPs for the four PUFA traits, explaining 4.8-7.9% of circulating PUFA variance and with mean F statistics >100. Higher genetically predicted DHA (and total omega-3 fatty acids) concentration was related to higher risk of some cardiovascular endpoints; however, these findings did not pass our criteria for multiple testing correction and were attenuated when accounting for LDL-cholesterol through multivariable Mendelian randomization or excluding SNPs in the vicinity of the FADS locus. Estimates for the relation between higher genetically predicted linoleic acid (and total omega-6) concentration were inconsistent across different cardiovascular endpoints and Mendelian randomization methods. There was weak evidence of higher genetically predicted linoleic acid being related to lower risk of ischemic stroke and peripheral artery disease when accounting by LDL-cholesterol. Conclusions We have conducted the largest GWAS of circulating PUFA to date and the most comprehensive Mendelian randomization analyses. Overall, our Mendelian randomization findings do not support a protective role of circulating PUFA concentration on the risk of CVDs. However, horizontal pleiotropy via lipoprotein-related traits could be a key source of bias in our analyses.

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