Literature DB >> 33643179

Association of Genetic Variants With Migraine Subclassified by Clinical Symptoms in Adult Females.

Joe Kossowsky1,2,3, Megan S Schuler4, Franco Giulianini5, Charles B Berde1,3, Ben Reis3,6, Paul M Ridker3,5, Julie E Buring3,5, Tobias Kurth5,7, Daniel I Chasman3,5.   

Abstract

Migraine is heritable and formally diagnosed by structured criteria that require presence of some but not all possible migraine symptoms which include aura, several distinct manifestations of pain, nausea/vomiting, and sensitivity to light or sound. The most recent genome-wide genetic association study (GWAS) for migraine identified 38 loci. We investigated whether 46 single-nucleotide polymorphisms (SNPs), i.e., genetic variants, at these loci may have especially pronounced, i.e., selective, association with migraine presenting with individual symptoms compared to absence of migraine. Selective genetic associations of SNPs were evaluated through a likelihood framework in the Women's Genome Health Study (WGHS), a population-based cohort of middle-aged women including 3,003 experiencing migraine and 18,108 not experiencing migraine, all with genetic information. SNPs at 12 loci displayed significant selective association for migraine subclassified by specific symptoms, among which six selective associations are novel. Symptoms showing selective association include aura, nausea/vomiting, photophobia, and phonophobia. The selective associations were consistent whether the women met all formal criteria for diagnostic for migraine or lacked one of the diagnostic criteria, formally termed probable migraine. Subsequently, we performed latent class analysis of migraine diagnostic symptoms among 69,861 women experiencing migraine from the WGHS recruitment sample to assess whether there were clusters of specific symptoms that might also have a genetic basis. However, no globally robust latent migraine substructures of diagnostic symptoms were observed nor were there selective genetic associations with specific combinations of symptoms revealed among weakly supported latent classes. The findings extend previously reported selective genetic associations with migraine diagnostic symptoms while supporting models for shared genetic susceptibility across all qualifying migraine at many loci.
Copyright © 2021 Kossowsky, Schuler, Giulianini, Berde, Reis, Ridker, Buring, Kurth and Chasman.

Entities:  

Keywords:  genetic association analysis; latent class analyses; migraine diagnostic criteria; migraine pain; migraine with and without aura

Year:  2021        PMID: 33643179      PMCID: PMC7907521          DOI: 10.3389/fneur.2020.617472

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.086


  37 in total

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Authors:  V Anttila; M Kallela; G Oswell; M A Kaunisto; D R Nyholt; E Hamalainen; H Havanka; M Ilmavirta; J Terwilliger; E Sobel; L Peltonen; J Kaprio; M Farkkila; M Wessman; A Palotie
Journal:  Am J Hum Genet       Date:  2006-05-10       Impact factor: 11.025

2.  Bayesian latent trait modeling of migraine symptom data.

Authors:  Carla Chia Ming Chen; Jonathan M Keith; Dale R Nyholt; Nicholas G Martin; Kerrie L Mengersen
Journal:  Hum Genet       Date:  2009-04-24       Impact factor: 4.132

Review 3.  Clinical relevance of cortical spreading depression in neurological disorders: migraine, malignant stroke, subarachnoid and intracranial hemorrhage, and traumatic brain injury.

Authors:  Martin Lauritzen; Jens Peter Dreier; Martin Fabricius; Jed A Hartings; Rudolf Graf; Anthony John Strong
Journal:  J Cereb Blood Flow Metab       Date:  2010-11-03       Impact factor: 6.200

4.  The metallophosphodiesterase Mpped2 impairs tumorigenesis in neuroblastoma.

Authors:  Lucia Liguori; Immacolata Andolfo; Paqualino de Antonellis; Veruska Aglio; Valeria di Dato; Natascia Marino; Nicola Ivan Orlotti; Daniela De Martino; Mario Capasso; Giuseppe Petrosino; Alexander Schramm; Luigi Navas; Gian Paolo Tonini; Angelika Eggert; Achille Iolascon; Massimo Zollo
Journal:  Cell Cycle       Date:  2012-02-01       Impact factor: 4.534

Review 5.  Population-based approaches to genetics of migraine.

Authors:  Daniel I Chasman; Markus Schürks; Tobias Kurth
Journal:  Cephalalgia       Date:  2016-03-24       Impact factor: 6.292

6.  Genome-wide association study reveals three susceptibility loci for common migraine in the general population.

Authors:  Daniel I Chasman; Markus Schürks; Verneri Anttila; Boukje de Vries; Ulf Schminke; Lenore J Launer; Gisela M Terwindt; Arn M J M van den Maagdenberg; Konstanze Fendrich; Henry Völzke; Florian Ernst; Lyn R Griffiths; Julie E Buring; Mikko Kallela; Tobias Freilinger; Christian Kubisch; Paul M Ridker; Aarno Palotie; Michel D Ferrari; Wolfgang Hoffmann; Robert Y L Zee; Tobias Kurth
Journal:  Nat Genet       Date:  2011-06-12       Impact factor: 38.330

7.  Heritability and genome-wide linkage analysis of migraine in the genetic isolate of Norfolk Island.

Authors:  Hannah C Cox; Rod A Lea; Claire Bellis; Dale R Nyholt; Thomas D Dyer; Larisa M Haupt; Jac Charlesworth; Elizabeth Matovinovic; John Blangero; Lyn R Griffiths
Journal:  Gene       Date:  2011-12-14       Impact factor: 3.688

8.  Migraine changes with age: IMPACT on migraine classification.

Authors:  Leslie Kelman
Journal:  Headache       Date:  2006 Jul-Aug       Impact factor: 5.887

9.  A randomized trial of low-dose aspirin in the primary prevention of cardiovascular disease in women.

Authors:  Paul M Ridker; Nancy R Cook; I-Min Lee; David Gordon; J Michael Gaziano; Joann E Manson; Charles H Hennekens; Julie E Buring
Journal:  N Engl J Med       Date:  2005-03-07       Impact factor: 91.245

10.  Genetic effects on gene expression across human tissues.

Authors:  Alexis Battle; Christopher D Brown; Barbara E Engelhardt; Stephen B Montgomery
Journal:  Nature       Date:  2017-10-11       Impact factor: 49.962

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  2 in total

1.  Classifying migraine subtypes and their characteristics by latent class analysis using data of a nation-wide population-based study.

Authors:  Wonwoo Lee; In Kyung Min; Kwang Ik Yang; Daeyoung Kim; Chang-Ho Yun; Min Kyung Chu
Journal:  Sci Rep       Date:  2021-11-03       Impact factor: 4.379

Review 2.  New Insights on Metabolic and Genetic Basis of Migraine: Novel Impact on Management and Therapeutical Approach.

Authors:  Irene Simonetta; Renata Riolo; Federica Todaro; Antonino Tuttolomondo
Journal:  Int J Mol Sci       Date:  2022-03-11       Impact factor: 5.923

  2 in total

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