scholarly journals Development of a cost-efficient novel method for rapid, concurrent genotyping of five common single nucleotide polymorphisms of the brain derived neurotrophic factor (BDNF) gene by tetra-primer amplification refractory mutation system

2015 ◽  
Vol 24 (3) ◽  
pp. 235-244 ◽  
Author(s):  
Cathy K. Wang ◽  
Michael S. Xu ◽  
Colin J. Ross ◽  
Ryan Lo ◽  
Ric M. Procyshyn ◽  
...  
Author(s):  
Habib Ahmadi ◽  
Vahid Reza Yassaee ◽  
Reza Mirfakhraie ◽  
Feyzollah Hashemi-Gorji

Abstract Background: Multiple sclerosis (MS) is a complex incurable neurodegenerative disease featuring demyelination of neurons, resulting in impairment of neuron impulses. Recently, an association of two single nucleotide polymorphisms (SNP) (rs2104286 and rs12722489) in interleukin 2 receptor subunit alpha (IL2RA) gene was found to be a risk factor of MS in white European population. Therefore, we performed a study to investigate the contribution of these two intronic variations in Iranian patients with MS. Methods: We determined the genotypes of rs2104286 and rs12722489 in patients with MS (n = 100) and in the control group (n = 111). The SNPs were genotyped using tetra-primer amplification refractory mutation system-polymerase chain reaction (T-ARMS-PCR) for both of SNPs. Statistical analysis was performed by SPSS software. Also, odds ratios (ORs) and 95% confidence interval (CI) were calculated. Results: Logistic regression revealed that various genotypes of rs12722489, regarding sex-adjusted effect, yielded meaningful association with MS risk in Iranian patients (OR = 2.67, 95% CI: 1.03-6.90). However, no association was obtained for rs2104286 and rs12722489 with MS. Conclusion: The results confirmed partially the reports in white European population performed recently. However, further investigation in larger scale is necessary to validate our study.


2006 ◽  
Vol 189 (4) ◽  
pp. 317-323 ◽  
Author(s):  
Daniel J. Müller ◽  
Vincenzo De Luca ◽  
Tricia Sicard ◽  
Nicole King ◽  
John Strauss ◽  
...  

BackgroundWe have previously reported the Val66Met and GT(n) repeat polymorphisms of the brain-derived neurotrophic factor (BDNF) gene to be associated with bipolar disorder. However, these findings have not been replicated consistently.AimsTo dissect the association of the BDNF gene with bipolar disorder by examining additional markers at the DNA level and by testing the illness categories of bipolar disorder I and II and rapid cycling.MethodWe performed a family-based association study and haplotype analyses with 312 nuclear families using four single nucleotide polymorphisms (SNPs) and the Val66Met and GT(n) repeat polymorphisms.ResultsThe SNPs hCVI1592756 and rs2049045, the Val66Met and GT(n) were significantly associated with bipolar disorder using transmission disequilibrium analyses (P=0.02, 0.009, 0.001 and 0.008 respectively). The effect at these markers was mainly driven by the rapid-cycling patients.ConclusionsWithin bipolar disorder, variation in the BDNF gene appears to predict risk for developing rapid cycling according to DSM–IV. Incorporating this clinical sub-phenotyping into other studies of the BDNF gene may help to resolve some of the inconsistencies reported thus far concerning BDNF and bipolar disorder.


2015 ◽  
Vol 602 ◽  
pp. 12-16 ◽  
Author(s):  
Sandra Ropret ◽  
Tomaž Zupanc ◽  
Radovan Komel ◽  
Alja Videtič Paska

2019 ◽  
Vol 286 (1912) ◽  
pp. 20190716 ◽  
Author(s):  
Evan L. MacLean ◽  
Noah Snyder-Mackler ◽  
Bridgett M. vonHoldt ◽  
James A. Serpell

Variation across dog breeds presents a unique opportunity to investigate the evolution and biological basis of complex behavioural traits. We integrated behavioural data from more than 14 000 dogs from 101 breeds with breed-averaged genotypic data ( n = 5697 dogs) from over 100 000 loci in the dog genome. We found high levels of among-breed heritability for 14 behavioural traits (the proportion of trait variance attributable to genetic similarity among breeds). We next identified 131 single nucleotide polymorphisms associated with breed differences in behaviour, which were found in genes that are highly expressed in the brain and enriched for neurobiological functions and developmental processes, suggesting that they may be functionally associated with behavioural differences. Our results shed light on the heritability and genetic architecture of complex behavioural traits and identify dogs as a powerful model in which to address these questions.


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