Evidence map›Paper›PMID 31170283›Full record

ArticleEuropean heart journal2019

Genetically modulated educational attainment and coronary disease risk.

Lingyao Zeng, Ioanna Ntalla, Thorsten Kessler, Adnan Kastrati, Jeanette Erdmann, UK Biobank CardioMetabolic Consortium CHD Working Group, John Danesh, Hugh Watkins, Nilesh J Samani, Panos Deloukas and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  16. Genetically determined intelligence and coronary artery disease risk.Clinical research in cardiology : official journal of the German Cardiac Society · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 3 countries.

Lingyao ZengDeutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Lazarettstr. 36, Munich, Germany.
Ioanna NtallaDepartment of Clinical Pharmacology, William Harvey Research Institute, Barts & The London Medical School, Queen Mary University of London, Charterhouse Square, London, UK.
Thorsten KesslerDeutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Lazarettstr. 36, Munich, Germany.
Adnan KastratiDeutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Lazarettstr. 36, Munich, Germany.
Jeanette ErdmannInstitute for Cardiogenetics and University Heart Center Luebeck, University of Lübeck, Maria-Goeppert-Straße 1, Lübeck, Germany.
UK Biobank CardioMetabolic Consortium CHD Working Group
John DaneshDepartment of Public Health and Primary Care, MRC/BHF Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK.
Hugh WatkinsDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Panos DeloukasDepartment of Clinical Pharmacology, William Harvey Research Institute, Barts & The London Medical School, Queen Mary University of London, Charterhouse Square, London, UK.
Heribert SchunkertDeutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Lazarettstr. 36, Munich, Germany.
München Klinik · DEQueen Mary University of London · GBCentre for Human Genetics · GBGerman Centre for Cardiovascular Research · DEUniversity of Cambridge · GBUniversity of Leicester · GB

Funding

British Heart Foundation RG/13/13/30194British Heart Foundation RG/14/5/30893British Heart Foundation RG/18/13/33946Department of HealthWellcome Trust
6 · The paper itself

Abstract

aimsGenetic disposition and lifestyle factors are understood as independent components underlying the risk of multiple diseases. In this study, we aim to investigate the interplay between genetics, educational attainment-an important denominator of lifestyle-and coronary artery disease (CAD) risk. METHODS AND

resultsBased on the effect sizes of 74 genetic variants associated with educational attainment, we calculated a 'genetic education score' in 13 080 cases and 14 471 controls and observed an inverse correlation between the score and risk of CAD [P = 1.52 × 10-8; odds ratio (OR) 0.79, 95% confidence interval (CI) 0.73-0.85 for the higher compared with the lowest score quintile]. We replicated in 146 514 individuals from UK Biobank (P = 1.85 × 10-6) and also found strong associations between the 'genetic education score' with 'modifiable' risk factors including smoking (P = 5.36 × 10-23), body mass index (BMI) (P = 1.66 × 10-30), and hypertension (P = 3.86 × 10-8). Interestingly, these associations were only modestly attenuated by adjustment for years spent in school. In contrast, a model adjusting for BMI and smoking abolished the association signal between the 'genetic education score' and CAD risk suggesting an intermediary role of these two risk factors. Mendelian randomization analyses performed with summary statistics from large genome-wide meta-analyses and sensitivity analysis using 1271 variants affecting educational attainment (OR 0.68 for the higher compared with the lowest score quintile; 95% CI 0.63-0.74; P = 3.99 × 10-21) further strengthened these findings.

conclusionGenetic variants known to affect educational attainment may have implications for a health-conscious lifestyle later in life and subsequently affect the risk of CAD.

Indexed as

Educational StatusCoronary DiseaseFemaleGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansLife StyleMaleMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsAtherosclerosisCoronary artery diseaseGeneticsGenome-wide association studiesSchool education

Identifiers

PMID31170283
PMCPMC6669407
OpenAlexW2949629950

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.