Evidence map›Paper›PMID 32306029›Full record

ArticleInternational journal of epidemiology2020

Cross-trait analyses with migraine reveal widespread pleiotropy and suggest a vascular component to migraine headache.

Katherine M Siewert, Derek Klarin, Scott M Damrauer, Kyong-Mi Chang, Philip S Tsao, Themistocles L Assimes, George Davey Smith, Benjamin F Voight, The International Headache Genetics Consortium

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 6 pooled it
10.0field-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

33 citing papers in PubMed, 6 syntheses or guidelines pooled it, 83 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 18 institutions in 14 countries.

Katherine M SiewertGenomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Derek KlarinCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Scott M DamrauerCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.
Kyong-Mi ChangCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.
Philip S TsaoDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Themistocles L AssimesDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
George Davey SmithMedical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Benjamin F VoightCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.
The International Headache Genetics Consortium
Broad Institute · USHebron University · PSOslo University Hospital · NOUniversity of Helsinki · FIUniversity of Bristol · GBHarvard University · USQIMR Berghofer Medical Research Institute · AUHelsinki University Hospital · FIPhiladelphia VA Medical Center · USVA Palo Alto Health Care System · USBrigham and Women's Hospital · USOulu University Hospital · FIStatens Serum Institut · DKTranslational Therapeutics (United States) · USUniversity of Copenhagen · DKUniversity of Pennsylvania · USUniversity of Tartu · EEVA Boston Healthcare System · US

Funding

Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Network-based algorithms for target identification and drug repositioning from genetic associationsR01HG010067 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI GREENE, CASEY S · 2018 to 2022
$3.2M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR56DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2019 to 2019
$272k
Genetics of Cardiometabolic Diseases in the VA PopulationI01BX003362 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI Kyong-Mi Chang, Philip S Tsao · 2017 to 2026
–
Precision Cardio-Metabolic Phenotyping for Genetic Discovery and Risk PredictionIK2CX001780 · VA · PHILADELPHIA VA MEDICAL CENTER · PI DAMRAUER, SCOTT MICHAEL · 2018 to 2023
–
CSRD VA IK2 CX001780NHGRI NIH HHS R01 HG010067NHGRI NIH HHS T32 HG000046NIDDK NIH HHS R01 DK101478NIDDK NIH HHS R56 DK101478
6 · The paper itself

Abstract

backgroundNearly a fifth of the world's population suffer from migraine headache, yet risk factors for this disease are poorly characterized.

methodsTo further elucidate these factors, we conducted a genetic correlation analysis using cross-trait linkage disequilibrium (LD) score regression between migraine headache and 47 traits from the UK Biobank. We then tested for possible causality between these phenotypes and migraine, using Mendelian randomization. In addition, we attempted replication of our findings in an independent genome-wide association study (GWAS) when available.

resultsWe report multiple phenotypes with genetic correlation (P  < 1.06 × 10-3) with migraine, including heart disease, type 2 diabetes, lipid levels, blood pressure, autoimmune and psychiatric phenotypes. In particular, we find evidence that blood pressure directly contributes to migraine and explains a previously suggested causal relationship between calcium and migraine.

conclusionsThis is the largest genetic correlation analysis of migraine headache to date, both in terms of migraine GWAS sample size and the number of phenotypes tested. We find that migraine has a shared genetic basis with a large number of traits, indicating pervasive pleiotropy at migraine-associated loci.

Indexed as

Migraine DisordersGenetic PleiotropyGenome-Wide Association StudyHumansPhenotypeGenetic correlationheadacheMendelian randomizationmigraine

Identifiers

PMID32306029
PMCPMC7394956
OpenAlexW3016458988

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.