Literature DB >> 19429006

The interplay of two single nucleotide polymorphisms in the CACNA1A gene may contribute to migraine susceptibility.

Mara D'Onofrio1, Anna Ambrosini, Alessandra Di Mambro, Ivan Arisi, Filippo M Santorelli, Gaetano S Grieco, Ferdinando Nicoletti, Giuseppe Nappi, Francesco Pierelli, Jean Schoenen, Maria Gabriella Buzzi.   

Abstract

Migraine is a common disorder with a significant genetic component. Mutations in the CACNA1A gene are found in hemiplegic migraine (HM). Basilar-type (BM), another subtype of migraine with aura, differs from HM only by the absence of motor deficits. BM and HM may thus share common genetic features. In the present study, two single nucleotide polymorphisms (SNPs) of the CACNA1A gene were characterized in a population of migraine patients and healthy controls. The polymorphisms, E918D, predicting a glutamic acid-to-aspartic acid substitution at codon 918 and E993V, predicting a glutamic acid-to-valine substitution at codon 993, were frequently detected among patients and controls. Seven BM, 10 SHM, 5 FHM, 57 migraine with typical aura, 32 migraine without aura patients and 107 healthy controls were screened. The E918D and E993V SNPs were found in 30/117 (25.6%) and 32/117 (27.3%) migraine patients, respectively. The prevalence of these SNPs taken separately was not significantly different from that of control subjects (n=28/107, 26.2% for E918D; n=29/107 for E993V, 27.1%) neither for the total migraine population nor for the various migraine subtypes. By contrast, coexistence of both SNPs was more frequent in migraineurs (25/117, 21%) than in healthy controls (12/107, 11%; p=0.048), a difference that was significant for every migraine subtype. This result suggests that the interplay of minor genetic variants such as single nucleotide polymorphisms may influence the P/Q-type calcium channel function in several subtypes of migraine.

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Year:  2009        PMID: 19429006     DOI: 10.1016/j.neulet.2009.01.081

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  9 in total

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Journal:  Hum Genet       Date:  2013-07-03       Impact factor: 4.132

Review 2.  Role of Omics in Migraine Research and Management: A Narrative Review.

Authors:  Pragya Chaturvedi; Rahul Khan; Prachi Sahu; Abhilash Ludhiadch; Gagandeep Singh; Anjana Munshi
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3.  Genetic and functional characterisation of the P/Q calcium channel in episodic ataxia with epilepsy.

Authors:  Sanjeev Rajakulendran; Tracey D Graves; Robyn W Labrum; Dimitrios Kotzadimitriou; Louise Eunson; Mary B Davis; Rosalyn Davies; Nicholas W Wood; Dimitri M Kullmann; Michael G Hanna; Stephanie Schorge
Journal:  J Physiol       Date:  2010-02-15       Impact factor: 5.182

4.  Studies on the pathophysiology and genetic basis of migraine.

Authors:  Claudia F Gasparini; Heidi G Sutherland; Lyn R Griffiths
Journal:  Curr Genomics       Date:  2013-08       Impact factor: 2.236

5.  Association of single nucleotide polymorphisms of CACNA1A gene in migraine.

Authors:  Aadil Bashir; Shiekh Saleem; Maqbool Wani; Roohi Rasool; Irfan Yousuf Wani; Azhara Gulnar; Sawan Verma
Journal:  Indian J Hum Genet       Date:  2014-01

6.  Emerging Putative Associations between Non-Coding RNAs and Protein-Coding Genes in Neuropathic Pain: Added Value from Reusing Microarray Data.

Authors:  Hemalatha B Raju; Nicholas F Tsinoremas; Enrico Capobianco
Journal:  Front Neurol       Date:  2016-10-18       Impact factor: 4.003

7.  Mutation analysis of CACNA1A gene in Iranian migrainous and review literatures.

Authors:  Rokhsareh Meamar; Maryam Ostadsharif; Mohammad Saadatnia; Abbas Ghorbani; Nayereh Nouri; Leila Dehghani; Mansoor Salehi
Journal:  J Res Med Sci       Date:  2013-03       Impact factor: 1.852

8.  Thr698Thr (nt2369) polymorphism on CACNA1A gene and head pain severity in familial migraine.

Authors:  Rokhsareh Meamar; Nafise Soltani; Neda Mohammadi; Maryam Ostadsharif
Journal:  J Res Med Sci       Date:  2013-03       Impact factor: 1.852

9.  Analysis of amplicon-based NGS data from neurological disease gene panels: a new method for allele drop-out management.

Authors:  Susanna Zucca; Margherita Villaraggia; Stella Gagliardi; Gaetano Salvatore Grieco; Marialuisa Valente; Cristina Cereda; Paolo Magni
Journal:  BMC Bioinformatics       Date:  2016-11-08       Impact factor: 3.169

  9 in total

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