Evidence map›Paper›PMID 31690987›Full record

ArticleDiabetologia2020

Association of genetic variants related to plasma fatty acids with type 2 diabetes mellitus and glycaemic traits: a Mendelian randomisation study.

Shuai Yuan, Susanna C Larsson

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

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  9. Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

2 authors at 2 institutions in 1 country.

Shuai YuanDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Susanna C LarssonDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden. susanna.larsson@ki.se.
Karolinska Institutet · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisEpidemiological data on the associations of circulating fatty acid levels with type 2 diabetes are inconsistent. We conducted a two-sample Mendelian randomisation study to explore the causal associations of plasma levels of ten fatty acids with type 2 diabetes and glycaemic traits.

methodsThirteen SNPs associated with circulating levels of ten individual fatty acids at the genome-wide significance level (p < 5 × 10

resultsGenetic predisposition to higher plasma levels of eight of the ten fatty acids were statistically significantly associated with lower or higher odds of type 2 diabetes. The OR per one SD increment of each fatty acid was 0.93 (95% CI 0.90, 0.96; p = 2.21 × 10 CONCLUSIONS/

interpretationGenetic predisposition to higher circulating levels of eight out of ten fatty acids was associated with type 2 diabetes, fasting glucose and islet beta cell function. However, the associations, except that for palmitoleic acid, were driven by variants in FADS1/2, which encode enzymes with a key role in fatty acid metabolism.

Indexed as

Blood GlucoseDelta-5 Fatty Acid DesaturaseDiabetes Mellitus, Type 2Fatty AcidsGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMendelian Randomization AnalysisPhenotypePolymorphism, Single NucleotideBlood GlucoseDelta-5 Fatty Acid DesaturaseFADS1 protein, humanFatty AcidsFatty acidsGenetic variantsGlycaemic traitsMendelian randomisationType 2 diabetes

Identifiers

PMID31690987
PMCPMC6890658
OpenAlexW2987791020

What OpenQuestion holds

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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.