Evidence map›Paper›PMID 28004149›Full record

ArticleDiabetologia2017

The heritable basis of gene-environment interactions in cardiometabolic traits.

Alaitz Poveda, Yan Chen, Anders Brändström, Elisabeth Engberg, Göran Hallmans, Ingegerd Johansson, Frida Renström, Azra Kurbasic, Paul W Franks

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  13. [Genotype-environment interaction on arterial stiffness: A pedigree-based study].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 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

9 authors at 3 institutions in 2 countries.

Alaitz PovedaGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Building 91, Skåne University Hospital, SE-20502, Malmö, Sweden.
Yan ChenGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Building 91, Skåne University Hospital, SE-20502, Malmö, Sweden.
Anders BrändströmCentre for Demographic and Ageing Research, Umeå University, Umeå, Sweden.
Elisabeth EngbergCentre for Demographic and Ageing Research, Umeå University, Umeå, Sweden.
Göran HallmansDepartment of Biobank Research, Umeå University, Umeå, Sweden.
Ingegerd JohanssonDepartment of Biobank Research, Umeå University, Umeå, Sweden.
Frida RenströmGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Building 91, Skåne University Hospital, SE-20502, Malmö, Sweden.
Azra KurbasicGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Building 91, Skåne University Hospital, SE-20502, Malmö, Sweden.
Paul W FranksGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Building 91, Skåne University Hospital, SE-20502, Malmö, Sweden. paul.franks@med.lu.se.
Umeå University · SESkåne University Hospital · SEUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisLittle is known about the heritable basis of gene-environment interactions in humans. We therefore screened multiple cardiometabolic traits to assess the probability that they are influenced by genotype-environment interactions.

methodsFourteen established environmental risk exposures and 11 cardiometabolic traits were analysed in the VIKING study, a cohort of 16,430 Swedish adults from 1682 extended pedigrees with available detailed genealogical, phenotypic and demographic information, using a maximum likelihood variance decomposition method in Sequential Oligogenic Linkage Analysis Routines software.

resultsAll cardiometabolic traits had statistically significant heritability estimates, with narrow-sense heritabilities (h CONCLUSIONS/

interpretationAge, sex and alcohol intake are likely to be major modifiers of genetic effects for a range of cardiometabolic traits. This information may prove valuable for studies that seek to identify specific loci that modify the effects of lifestyle in cardiometabolic disease.

Indexed as

Gene-Environment InteractionBlood GlucoseBlood PressureBody WeightEatingExerciseFastingFemaleGenetic LinkageGenotypeHumansMaleMiddle AgedModels, GeneticModels, TheoreticalPedigreeBlood GlucoseCardiometabolic traitsEnvironmentExtended pedigreesGeneHeritabilityInteractionVIKING study

Identifiers

PMID28004149
PMCPMC6518092
OpenAlexW2563894820

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.