scholarly journals Single nucleotide recognition using a probes-on-carrier DNA chip

BioTechniques ◽  
2019 ◽  
Vol 66 (2) ◽  
pp. 73-78 ◽  
Author(s):  
Satoshi Fuke ◽  
Hiroshi Nagasawa ◽  
Toshifumi Tsukahara
2010 ◽  
Vol 16 (6) ◽  
pp. 652-659 ◽  
Author(s):  
Madeleine H Sombekke ◽  
David Arteta ◽  
Mark A van de Wiel ◽  
J Bart A Crusius ◽  
Diego Tejedor ◽  
...  

Multiple sclerosis is a heterogeneous neurological disease with varying degrees of severity. The common hypothesis is that susceptibility to multiple sclerosis and its phenotype are caused by a combination of environmental and genetic factors. The genetic part exerts its effect through several genes, each having modest effects. We evaluated whether disease severity could be predicted by a model based on clinical data and data from a DNA chip. The DNA chip was designed containing several single nucleotide polymorphisms in 44 genes, previously described to be associated with multiple sclerosis. A total of 605 patients with multiple sclerosis were included in this analysis, using gender, onset type and age at onset as clinical covariates. We correlated 80 single nucleotide polymorphisms to the degree of disease severity using the following three outcome measures: linear Multiple Sclerosis Severity Score, dichotomous Multiple Sclerosis Severity Score (using a cut-off point of 2.5) and time to reach Expanded Disability Status Scale score 6. Sixty-nine single nucleotide polymorphisms were included in the analysis. No individual single nucleotide polymorphism showed a significant association; however, a combination of single nucleotide polymorphisms significantly improved the prediction of disease severity in addition to the clinical variables. In all three models the Interleukin 2 gene was included, confirming a previously reported modest effect on disease severity. The highest power was obtained using the dichotomized Multiple Sclerosis Severity Score as outcome. Several single nucleotide polymorphisms showed their added predictive value over the clinical data in the predictive models. These results support our hypothesis that disease severity is determined by clinical variables and genetic influences (through several genes with small effects) in concert.


2004 ◽  
Vol 19 (10) ◽  
pp. 1277-1283 ◽  
Author(s):  
Jiao-Yu Deng ◽  
Xian-En Zhang ◽  
Yuan Mang ◽  
Zhi-Ping Zhang ◽  
Ya-Feng Zhou ◽  
...  

2005 ◽  
Vol 20 (3) ◽  
pp. 219-225 ◽  
Author(s):  
Tsutomu Nakamura ◽  
Toshiyuki Sakaeda ◽  
Masayoshi Takahashi ◽  
Koji Hashimoto ◽  
Nobuhiro Gemma ◽  
...  

Microarrays ◽  
2007 ◽  
pp. 267-278
Author(s):  
Alexandre Ho-Pun-Cheung ◽  
Hafid Abaibou ◽  
Philippe Cleuziat ◽  
Evelyne Lopez-Crapez

The Analyst ◽  
2005 ◽  
Vol 130 (5) ◽  
pp. 687 ◽  
Author(s):  
Masayoshi Takahashi ◽  
Jun Okada ◽  
Keiko Ito ◽  
Michie Hashimoto ◽  
Koji Hashimoto ◽  
...  

Author(s):  
Yusuke Hamashita ◽  
Takahiro Shibata ◽  
Akiko Takeuchi ◽  
Takashi Okuno ◽  
Naoki Kise ◽  
...  

2006 ◽  
Vol 86 (3) ◽  
pp. 304-313 ◽  
Author(s):  
Alexandre Ho-Pun-Cheung ◽  
Sylvie Choblet ◽  
Thomas Colineau ◽  
Hafid Abaibou ◽  
Daniela Zsoldos ◽  
...  

Microarrays ◽  
2007 ◽  
pp. 267-278
Author(s):  
Alexandre Ho-Pun-Cheung ◽  
Hafid Abaibou ◽  
Philippe Cleuziat ◽  
Evelyne Lopez-Crapez

2004 ◽  
Vol 40 ◽  
pp. 157-167 ◽  
Author(s):  
Maria Nilsson ◽  
Karin Dahlman-Wright ◽  
Jan-Åke Gustafsson

For several decades, it has been known that oestrogens are essential for human health. The discovery that there are two oestrogen receptors (ERs), ERalpha and ERbeta, has facilitated our understanding of how the hormone exerts its physiological effects. The ERs belong to the family of ligand-activated nuclear receptors, which act by modulating the expression of target genes. Studies of ER-knockout (ERKO) mice have been instrumental in defining the relevance of a given receptor subtype in a certain tissue. Phenotypes displayed by ERKO mice suggest diseases in which dysfunctional ERs might be involved in aetiology and pathology. Association between single-nucleotide polymorphisms (SNPs) in ER genes and disease have been demonstrated in several cases. Selective ER modulators (SERMs), which are selective with regard to their effects in a certain cell type, already exist. Since oestrogen has effects in many tissues, the goal with a SERM is to provide beneficial effects in one target tissue while avoiding side effects in others. Refined SERMs will, in the future, provide improved therapeutic strategies for existing and novel indications.


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