Evidence map›Paper›PMID 36580444›Full record

ArticlePLoS medicine2022

Associations of genetically predicted fatty acid levels across the phenome: A mendelian randomisation study.

Loukas Zagkos, Marie-Joe Dib, Rui Pinto, Dipender Gill, Fotios Koskeridis, Fotios Drenos, Georgios Markozannes, Paul Elliott, Verena Zuber, Kostas Tsilidis and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 3 countries.

Loukas ZagkosDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-7700-8102
Marie-Joe DibDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-7591-5684
Rui PintoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-8527-4873
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-7312-7078
Fotios KoskeridisDepartment of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.ORCID 0000-0002-1253-7556
Fotios DrenosDepartment of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge, United Kingdom.ORCID 0000-0003-2469-5516
Georgios MarkozannesDepartment of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.ORCID 0000-0001-8481-579X
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-7511-5684
Verena ZuberDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Kostas TsilidisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Abbas DehghanDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-6403-016X
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-4275-9328
University of Ioannina · GRUK Dementia Research Institute · GBImperial College London · GBNIHR Imperial Biomedical Research Centre · GBNovo Nordisk (Denmark) · DKUniversity College London · GB

Funding

British Heart Foundation CFC1007British Heart Foundation RE/18/4/34215Department of HealthMedical Research Council MC_PC_17228Medical Research Council MR/L01341X/1Medical Research Council MR/ S019669/1Medical Research Council MR/S019669/1Medical Research Council MR/W029790/1
6 · The paper itself

Abstract

backgroundFatty acids are important dietary factors that have been extensively studied for their implication in health and disease. Evidence from epidemiological studies and randomised controlled trials on their role in cardiovascular, inflammatory, and other diseases remains inconsistent. The objective of this study was to assess whether genetically predicted fatty acid concentrations affect the risk of disease across a wide variety of clinical health outcomes. METHODS AND

findingsThe UK Biobank (UKB) is a large study involving over 500,000 participants aged 40 to 69 years at recruitment from 2006 to 2010. We used summary-level data for 117,143 UKB samples (base dataset), to extract genetic associations of fatty acids, and individual-level data for 322,232 UKB participants (target dataset) to conduct our discovery analysis. We studied potentially causal relationships of circulating fatty acids with 845 clinical diagnoses, using mendelian randomisation (MR) approach, within a phenome-wide association study (PheWAS) framework. Regression models in PheWAS were adjusted for sex, age, and the first 10 genetic principal components. External summary statistics were used for replication. When several fatty acids were associated with a health outcome, multivariable MR and MR-Bayesian method averaging (MR-BMA) was applied to disentangle their causal role. Genetic predisposition to higher docosahexaenoic acid (DHA) was associated with cholelithiasis and cholecystitis (odds ratio per mmol/L: 0.76, 95% confidence interval: 0.66 to 0.87). This was supported in replication analysis (FinnGen study) and by the genetically predicted omega-3 fatty acids analyses. Genetically predicted linoleic acid (LA), omega-6, polyunsaturated fatty acids (PUFAs), and total fatty acids (total FAs) showed positive associations with cardiovascular outcomes with support from replication analysis. Finally, higher genetically predicted levels of DHA (0.83, 0.73 to 0.95) and omega-3 (0.83, 0.75 to 0.92) were found to have a protective effect on obesity, which was supported using body mass index (BMI) in the GIANT consortium as replication analysis. Multivariable MR analysis suggested a direct detrimental effect of LA (1.64, 1.07 to 2.50) and omega-6 fatty acids (1.81, 1.06 to 3.09) on coronary heart disease (CHD). MR-BMA prioritised LA and omega-6 fatty acids as the top risk factors for CHD. Although we present a range of sensitivity analyses to the address MR assumptions, horizontal pleiotropy may still bias the reported associations and further evaluation in clinical trials is needed.

conclusionsOur study suggests potentially protective effects of circulating DHA and omega-3 concentrations on cholelithiasis and cholecystitis and on obesity, highlighting the need to further assess them as prevention treatments in clinical trials. Moreover, our findings do not support the supplementation of unsaturated fatty acids for cardiovascular disease prevention.

Indexed as

Fatty Acids, Omega-3Fatty Acids, Omega-6Genetic Predisposition to DiseaseAdultAgedBayes TheoremCholecystitisCholelithiasisCoronary DiseaseDocosahexaenoic AcidsFemaleHumansMaleMendelian Randomization AnalysisMiddle AgedObesityDocosahexaenoic AcidsFatty Acids, Omega-3Fatty Acids, Omega-6

Identifiers

PMID36580444
PMCPMC9799317
OpenAlexW4313270914

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.