Literature DB >> 35692035

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.

Maria Carolina Borges1,2, Philip C Haycock3,4, Jie Zheng3,4, Gibran Hemani3,4, Michael V Holmes5, George Davey Smith3,4, Aroon D Hingorani6,7,8,9, Deborah A Lawlor3,4,10.   

Abstract

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.
© 2022. The Author(s).

Entities:  

Keywords:  Cardiovascular diseases; Fatty acids; Mendelian randomization

Mesh:

Substances:

Year:  2022        PMID: 35692035      PMCID: PMC9190170          DOI: 10.1186/s12916-022-02399-w

Source DB:  PubMed          Journal:  BMC Med        ISSN: 1741-7015            Impact factor:   11.150


  60 in total

1.  Effects of dietary fatty acids and carbohydrates on the ratio of serum total to HDL cholesterol and on serum lipids and apolipoproteins: a meta-analysis of 60 controlled trials.

Authors:  Ronald P Mensink; Peter L Zock; Arnold D M Kester; Martijn B Katan
Journal:  Am J Clin Nutr       Date:  2003-05       Impact factor: 7.045

2.  Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression.

Authors:  Jack Bowden; George Davey Smith; Stephen Burgess
Journal:  Int J Epidemiol       Date:  2015-06-06       Impact factor: 7.196

3.  A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization.

Authors:  Jack Bowden; Fabiola Del Greco M; Cosetta Minelli; George Davey Smith; Nuala Sheehan; John Thompson
Journal:  Stat Med       Date:  2017-01-23       Impact factor: 2.373

4.  Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure.

Authors:  Sonia Shah; Albert Henry; Carolina Roselli; Honghuang Lin; Garðar Sveinbjörnsson; Ghazaleh Fatemifar; Åsa K Hedman; Jemma B Wilk; Michael P Morley; Mark D Chaffin; Anna Helgadottir; Niek Verweij; Abbas Dehghan; Peter Almgren; Charlotte Andersson; Krishna G Aragam; Johan Ärnlöv; Joshua D Backman; Mary L Biggs; Heather L Bloom; Jeffrey Brandimarto; Michael R Brown; Leonard Buckbinder; David J Carey; Daniel I Chasman; Xing Chen; Xu Chen; Jonathan Chung; William Chutkow; James P Cook; Graciela E Delgado; Spiros Denaxas; Alexander S Doney; Marcus Dörr; Samuel C Dudley; Michael E Dunn; Gunnar Engström; Tõnu Esko; Stephan B Felix; Chris Finan; Ian Ford; Mohsen Ghanbari; Sahar Ghasemi; Vilmantas Giedraitis; Franco Giulianini; John S Gottdiener; Stefan Gross; Daníel F Guðbjartsson; Rebecca Gutmann; Christopher M Haggerty; Pim van der Harst; Craig L Hyde; Erik Ingelsson; J Wouter Jukema; Maryam Kavousi; Kay-Tee Khaw; Marcus E Kleber; Lars Køber; Andrea Koekemoer; Claudia Langenberg; Lars Lind; Cecilia M Lindgren; Barry London; Luca A Lotta; Ruth C Lovering; Jian'an Luan; Patrik Magnusson; Anubha Mahajan; Kenneth B Margulies; Winfried März; Olle Melander; Ify R Mordi; Thomas Morgan; Andrew D Morris; Andrew P Morris; Alanna C Morrison; Michael W Nagle; Christopher P Nelson; Alexander Niessner; Teemu Niiranen; Michelle L O'Donoghue; Anjali T Owens; Colin N A Palmer; Helen M Parry; Markus Perola; Eliana Portilla-Fernandez; Bruce M Psaty; Kenneth M Rice; Paul M Ridker; Simon P R Romaine; Jerome I Rotter; Perttu Salo; Veikko Salomaa; Jessica van Setten; Alaa A Shalaby; Diane T Smelser; Nicholas L Smith; Steen Stender; David J Stott; Per Svensson; Mari-Liis Tammesoo; Kent D Taylor; Maris Teder-Laving; Alexander Teumer; Guðmundur Thorgeirsson; Unnur Thorsteinsdottir; Christian Torp-Pedersen; Stella Trompet; Benoit Tyl; Andre G Uitterlinden; Abirami Veluchamy; Uwe Völker; Adriaan A Voors; Xiaosong Wang; Nicholas J Wareham; Dawn Waterworth; Peter E Weeke; Raul Weiss; Kerri L Wiggins; Heming Xing; Laura M Yerges-Armstrong; Bing Yu; Faiez Zannad; Jing Hua Zhao; Harry Hemingway; Nilesh J Samani; John J V McMurray; Jian Yang; Peter M Visscher; Christopher Newton-Cheh; Anders Malarstig; Hilma Holm; Steven A Lubitz; Naveed Sattar; Michael V Holmes; Thomas P Cappola; Folkert W Asselbergs; Aroon D Hingorani; Karoline Kuchenbaecker; Patrick T Ellinor; Chim C Lang; Kari Stefansson; J Gustav Smith; Ramachandran S Vasan; Daniel I Swerdlow; R Thomas Lumbers
Journal:  Nat Commun       Date:  2020-01-09       Impact factor: 14.919

5.  Variation in PCSK9 and HMGCR and Risk of Cardiovascular Disease and Diabetes.

Authors:  Brian A Ference; Jennifer G Robinson; Robert D Brook; Alberico L Catapano; M John Chapman; David R Neff; Szilard Voros; Robert P Giugliano; George Davey Smith; Sergio Fazio; Marc S Sabatine
Journal:  N Engl J Med       Date:  2016-12-01       Impact factor: 91.245

6.  Omega-6 fats for the primary and secondary prevention of cardiovascular disease.

Authors:  Lee Hooper; Lena Al-Khudairy; Asmaa S Abdelhamid; Karen Rees; Julii S Brainard; Tracey J Brown; Sarah M Ajabnoor; Alex T O'Brien; Lauren E Winstanley; Daisy H Donaldson; Fujian Song; Katherine Ho Deane
Journal:  Cochrane Database Syst Rev       Date:  2018-11-29

7.  Polyunsaturated fatty acids for the primary and secondary prevention of cardiovascular disease.

Authors:  Asmaa S Abdelhamid; Nicole Martin; Charlene Bridges; Julii S Brainard; Xia Wang; Tracey J Brown; Sarah Hanson; Oluseyi F Jimoh; Sarah M Ajabnoor; Katherine Ho Deane; Fujian Song; Lee Hooper
Journal:  Cochrane Database Syst Rev       Date:  2018-11-27

8.  An atlas of genetic influences on human blood metabolites.

Authors:  So-Youn Shin; Eric B Fauman; Ann-Kristin Petersen; Jan Krumsiek; Rita Santos; Jie Huang; Matthias Arnold; Idil Erte; Vincenzo Forgetta; Tsun-Po Yang; Klaudia Walter; Cristina Menni; Lu Chen; Louella Vasquez; Ana M Valdes; Craig L Hyde; Vicky Wang; Daniel Ziemek; Phoebe Roberts; Li Xi; Elin Grundberg; Melanie Waldenberger; J Brent Richards; Robert P Mohney; Michael V Milburn; Sally L John; Jeff Trimmer; Fabian J Theis; John P Overington; Karsten Suhre; M Julia Brosnan; Christian Gieger; Gabi Kastenmüller; Tim D Spector; Nicole Soranzo
Journal:  Nat Genet       Date:  2014-05-11       Impact factor: 38.330

9.  Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic.

Authors:  Jack Bowden; Fabiola Del Greco M; Cosetta Minelli; George Davey Smith; Nuala A Sheehan; John R Thompson
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

10.  Desaturase Activity and the Risk of Type 2 Diabetes and Coronary Artery Disease: A Mendelian Randomization Study.

Authors:  Susanne Jäger; Rafael Cuadrat; Per Hoffmann; Clemens Wittenbecher; Matthias B Schulze
Journal:  Nutrients       Date:  2020-07-28       Impact factor: 5.717

View more
  3 in total

1.  Using Mendelian Randomisation to Prioritise Candidate Maternal Metabolic Traits Influencing Offspring Birthweight.

Authors:  Ciarrah-Jane Shannon Barry; Deborah A Lawlor; Chin Yang Shapland; Eleanor Sanderson; Maria Carolina Borges
Journal:  Metabolites       Date:  2022-06-10

2.  Mendelian randomization analysis of the causal association of bone mineral density and fracture with multiple sclerosis.

Authors:  Yu Yao; Feng Gao; Yanni Wu; Xin Zhang; Jun Xu; Haiyang Du; Xintao Wang
Journal:  Front Neurol       Date:  2022-09-15       Impact factor: 4.086

3.  Alcohol consumption and atrial fibrillation risk: An updated dose-response meta-analysis of over 10 million participants.

Authors:  Hezi Jiang; Xiaofei Mei; Yufeng Jiang; Jialu Yao; Jinsheng Shen; Tan Chen; Yafeng Zhou
Journal:  Front Cardiovasc Med       Date:  2022-09-30
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.