An Association Study of ESR1-XbaI and PvuII Gene Polymorphism in Migraine Susceptibility in the Jammu Region.

INTRODUCTION: Migraine is a neurovascular disorder and is clinically characterized by episodic attacks of mild to severe headaches. Due to the involvement of multiple environmental and genetic factors, it has become a much more complex neurological condition to understand. Apart from the environmental variables, a plethora of genes have been implicated, and one such example is ESR1. The present study was focused to find out the association of two important polymorphisms, namely, PvuII and XbaI of the ESR1 with migraine in the population of Jammu and Kashmir (UT). METHODS: The PCR-RFLP genotyping method was utilized to detect PvuII and XbaI polymorphism, and the result was confirmed by statistical analysis. RESULTS: Although we did not find a signification association of ESR-PvuII polymorphism with migraine susceptibility {OR: 1.14 at 95% CI [0.76-1.71] (p value 0.5)}, a strong association was found with the clinical subtype of migraine; migraine with aura (MA) {OR: 2.014 at 95% CI [1.069-3.792] (p value 0.028)}. Furthermore, a significant association of ESR-XbaI polymorphism was observed with migraine {OR: 1.908 at 95% CI [1.252-2.907] (p value 0.002) and its both clinical subtypes; migraine without aura (MO) {OR: 1.870 at 95% CI [1.186-2.950] (p value 0.006)} and MA {OR: 2.014 at 95% CI [1.069-3.792] (p value 0.028)}. CONCLUSION: In conclusion, ESR1-XbaI polymorphism is significantly associated with migraine risk including both subtypes (MA and MO) in the North Indian population of Jammu.

The complexities of migraine: A debate among migraine researchers: A review.

Migraine is indeed a neurovascular disorder for which several genes have been identified in this era of Genome-Wide Association Studies (GWAS) and neuroimaging studies have already revealed structural changes and different mechanisms that cause migraine, but the exact cause of this debilitating and disabling neurovascular disorder remained unclear. Low neuronal hyperexcitability ("the migrainous brain") is set and hindered by genetic and environmental factors, respectively. Migraine is also found to be associated with different diseases (co-morbidity). There is still a subject of contention: is migraine a disease of evolution or disease of pathology? This research review seeks to provide a brief overview on the genetics of disorders, structural abnormalities in the brain, CSD-like symptoms, and faulty Trigeminovascular System activation for migraine pain phenotype. This review briefly covered here to provide some ideas that may also be utilized in migraine research and to serve as motivation for future research.

Algorithm for sample availability prediction in a hospital-based epidemiological study spreadsheet-based sample availability calculator.

Looking at the population's behavior by taking samples is quite uncertain due to its big and dynamic structure and unimaginable variability. All quantitative sampling approaches aim to draw a representative sample from the population so that the results of the studying samples can then be generalized back to the population. The probability of detecting a true effect of a study largely depends on the sample size and if taking small samples will give lowers statistical power, higher risk of missing a meaningful underlying difference. The probability of rejecting the null hypothesis i.e., finding significant difference using the sample largely depends upon the statistical power. There are a lot of online tools used for calculating the sample size, but none tell us about the availability of samples from single site in a fixed span. This study aims to provide an efficient calculation method for the availability of samples during a specific period of a research study which is an important question to be answered during the research study design. So, we have designed a spreadsheet-based sample availability calculator tool implemented in MS-Excel 2007.