Evidence map›Paper›PMID 26220684›Full record

ArticleHuman genetics2015

Common polygenic variation contributes to risk of migraine in the Norfolk Island population.

A J Rodriguez-Acevedo, M A Ferreira, Miles C Benton, Melanie A Carless, Harald H Goring, Joanne E Curran, John Blangero, R A Lea, L R Griffiths

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Advances in genetics of migraine.The journal of headache and pain · 2019
    Review
  4. Polygenic risk score: use in migraine research.The journal of headache and pain · 2018
    Review
  5. Article
  6. Article
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 4 institutions in 2 countries.

A J Rodriguez-AcevedoGenomics Research Centre, Institute of Health and Biomedical Innovation, QUT, Brisbane, Australia.
M A FerreiraQIMR-Berghofer Medical Research Institute, Brisbane, Australia.
Miles C BentonGenomics Research Centre, Institute of Health and Biomedical Innovation, QUT, Brisbane, Australia.
Melanie A CarlessTexas Biomedical Research Institute, San Antonio, TX, 78227-5301, USA.
Harald H GoringSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA.
Joanne E CurranSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA.
John BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA.
R A LeaGenomics Research Centre, Institute of Health and Biomedical Innovation, QUT, Brisbane, Australia.
L R GriffithsGenomics Research Centre, Institute of Health and Biomedical Innovation, QUT, Brisbane, Australia. lyn.griffiths@qut.edu.au.ORCID http://orcid.org/0000-0002-6774-5475
The University of Texas Rio Grande Valley · USGriffith University · AUQIMR Berghofer Medical Research Institute · AUTexas Biomedical Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Migraine has been defined as a common disabling primary headache disorder. Epidemiology studies have provided with the undeniable evidence of genetic components as active players in the development of the disease under a polygenic model in which multiple risk alleles exert modest individual effects. Our objective was to test the contribution of a polygenic effect to migraine risk in the Norfolk Island population using a panel of SNPs reported to be disease associated in published migraine GWAS. We also investigated whether individual SNPs were associated with gene expression levels measured in whole blood. Polygenic scores were calculated in a total of 285 related individuals (74 cases, 211 controls) from the Norfolk Island using 51 SNPs previously reported to be associated with migraine in published GWAS. The association between polygenic score and migraine case-control status was tested using logistic regression. Results indicate that a migraine polygenic risk score was associated with migraine case-control status in this population (P = 0.016). This supports the hypothesis that multiple SNPs with weak effects collectively contribute to migraine risk in this population. Amongst the SNPs included in the polygenic model, four were associated with the expression of the USMG5 gene, including rs171251 (P = 0.012). Results from this study provide evidence for a polygenic contribution to migraine risk in an isolated population and highlight specific SNPs that regulate the expression of USMG5, a gene critical for mitochondrial function.

Indexed as

Multifactorial InheritancePolymorphism, Single NucleotideCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMelanesiaMigraine DisordersQuantitative Trait Loci

Identifiers

PMID26220684
OpenAlexW1040337638

What OpenQuestion holds

Textmetadata
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.