Evidence map›Paper›PMID 30383316›Full record

SynthesisAnnals of neurology2018

Genome-wide meta-analysis identifies 3 novel loci associated with stroke.

Rainer Malik, Kristiina Rannikmäe, Matthew Traylor, Marios K Georgakis, Muralidharan Sargurupremraj, Hugh S Markus, Jemma C Hopewell, Stephanie Debette, Cathie L M Sudlow, Martin Dichgans and 1 more

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Annals of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 5 pooled it
9.4field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 5 syntheses or guidelines pooled it, 107 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

11 authors at 6 institutions in 3 countries.

Rainer MalikInstitute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Kristiina RannikmäeUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Matthew TraylorStroke Research Group, Division of Clinical Neurosciences, University of Cambridge, Cambridge, UK.ORCID 0000-0001-6624-8621
Marios K GeorgakisInstitute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Muralidharan SargurupremrajINSERM U1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France.
Hugh S MarkusStroke Research Group, Division of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Jemma C HopewellClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Stephanie DebetteINSERM U1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France.
Cathie L M SudlowUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Martin DichgansInstitute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
MEGASTROKE consortium and the International Stroke Genetics Consortium
Ludwig-Maximilians-Universität München · DEUniversité de Bordeaux · FRUniversity of Cambridge · GBUniversity of Edinburgh · GBGerman Center for Neurodegenerative Diseases · DEUniversity of Oxford · GB

Funding

British Heart Foundation FS/14/55/30806Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/S004130/1
6 · The paper itself

Abstract

We conducted a European-only and transancestral genome-wide association meta-analysis in 72,147 stroke patients and 823,869 controls using data from UK Biobank (UKB) and the MEGASTROKE consortium. We identified an exonic polymorphism in NOS3 (rs1799983, p.Glu298Asp; p = 2.2E-8, odds ratio [OR] = 1.05, 95% confidence interval [CI] = 1.04-1.07) and variants in an intron of COL4A1 (rs9521634; p = 3.8E-8, OR = 1.04, 95% CI = 1.03-1.06) and near DYRK1A (rs720470; p = 6.1E-9, OR = 1.05, 95% CI = 1.03-1.07) at genome-wide significance for stroke. Effect sizes of known stroke loci were highly correlated between UKB and MEGASTROKE. Using Mendelian randomization, we further show that genetic variation in the nitric oxide synthase-nitric oxide pathway in part affects stroke risk via variation in blood pressure. Ann Neurol 2018;84:934-939.

Indexed as

Genetic Predisposition to DiseaseCollagen Type IVDatabases, FactualDyrk KinasesEuropeGene FrequencyGenome-Wide Association StudyHumansMendelian Randomization AnalysisNitric Oxide Synthase Type IIIProtein Serine-Threonine KinasesProtein-Tyrosine KinasesRisk FactorsStrokeCOL4A1 protein, humanCollagen Type IVDyrk KinasesNitric Oxide Synthase Type IIINOS3 protein, humanProtein Serine-Threonine KinasesProtein-Tyrosine Kinases

Identifiers

PMID30383316
PMCPMC6644297
OpenAlexW2899096266

What OpenQuestion holds

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LicenceCC BY
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.