Evidence map›Paper›PMID 29795460›Full record

ArticleInternational journal of obesity (2005)2019

The combined effects of FADS gene variation and dietary fats in obesity-related traits in a population from the far north of Sweden: the GLACIER Study.

Yan Chen, Angela C Estampador, Maria Keller, Alaitz Poveda, Jonathan Dalla-Riva, Ingegerd Johansson, Frida Renström, Azra Kurbasic, Paul W Franks, Tibor V Varga

Open access · greenAbstract read
In one paragraph

Article in International journal of obesity (2005), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  7. Metabolites · 2022
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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

10 authors at 4 institutions in 4 countries.

Yan ChenGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, SE-214 28, Sweden.ORCID http://orcid.org/0000-0001-9673-9712
Angela C EstampadorGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, SE-214 28, Sweden.
Maria KellerGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, SE-214 28, Sweden.
Alaitz PovedaGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, SE-214 28, Sweden.
Jonathan Dalla-RivaGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, SE-214 28, Sweden.
Ingegerd JohanssonDepartment of Biobank Research, Umeå University, Umeå, SE-901 87, Sweden.
Frida RenströmGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, SE-214 28, Sweden.
Azra KurbasicGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, SE-214 28, Sweden.
Paul W FranksGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, SE-214 28, Sweden. paul.franks@med.lu.se.
Tibor V VargaGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, SE-214 28, Sweden. tibor.v_varga@med.lu.se.ORCID http://orcid.org/0000-0002-2383-699X
Lund University · SEHarvard University · USMalmö University · SEUmeå University · SE

Funding

European Research Council 681742Wellcome Trust
6 · The paper itself

Abstract

backgroundRecent analyses in Greenlandic Inuit identified six genetic polymorphisms (rs74771917, rs3168072, rs12577276, rs7115739, rs174602 and rs174570) in the fatty acid desaturase gene cluster (FADS1-FADS2-FADS3) that are associated with multiple metabolic and anthropometric traits. Our objectives were to systematically assess whether dietary polyunsaturated fatty acid (PUFA) intake modifies the associations between genetic variants in the FADS gene cluster and cardiometabolic traits, and to functionally annotate top-ranking candidates to estimate their regulatory potential.

methodsData analyses consisted of the following: interaction analyses between the 6 candidate genetic variants and dietary PUFA intake; gene-centric joint analyses to detect interaction signals in the FADS region; haplotype-centric joint tests across 30 haplotype blocks in the FADS region to refine interaction signals; and functional annotation of top-ranking loci from the previous steps. These analyses were undertaken in Swedish adults from the GLACIER Study (N = 5,160); data on genetic variation and eight cardiometabolic traits were used.

resultsInteractions were observed between rs174570 and n-6 PUFA intake on fasting glucose (P

conclusionsThe association between FADS variants and triglycerides may be modified by PUFA intake. The intronic FADS2 rs5792235 variant is a potential causal variant in the region, having the highest regulatory potential. However, our results suggest that multiple haplotypes may harbour functional variants in a region, rather than a single causal variant.

Indexed as

DietAdultCardiovascular DiseasesDelta-5 Fatty Acid DesaturaseDietary FatsEnergy IntakeFatty Acids, Omega-3FemaleGene Expression RegulationGenetic Association StudiesGenetic VariationHaplotypesHumansInuitMaleMetabolic DiseasesDelta-5 Fatty Acid DesaturaseDietary FatsFADS1 protein, humanFatty Acids, Omega-3

Identifiers

PMID29795460
PMCPMC6124650
OpenAlexW2804398645

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.