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DCDC2 gene polymorphisms are associated with developmental dyslexia in Chinese Uyghur children 被引量:3
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作者 Yun Chen Hua Zhao +1 位作者 Yi-xin Zhang Peng-xiang Zuo 《Neural Regeneration Research》 SCIE CAS CSCD 2017年第2期259-266,共8页
Developmental dyslexia is a complex reading and writing disorder with strong genetic components. In previous genetic studies about dyslexia, a number of candidate genes have been identified. These include DCDC2, which... Developmental dyslexia is a complex reading and writing disorder with strong genetic components. In previous genetic studies about dyslexia, a number of candidate genes have been identified. These include DCDC2, which has repeatedly been associated with developmental dyslexia in various European and American populations. However, data regarding this relationship are varied according to population. The Uyghur people of China represent a Eurasian population with an interesting genetic profile. Thus, this group may provide useful information about the association between DCDC2 gene polymorphisms and dyslexia. In the current study, we examined genetic data from 392 Uyghur children aged 8–12 years old from the Xinjiang Uyghur Autonomous Region of China. Participants included 196 children with dyslexia and 196 grade-, age-, and gender-matched controls. DNA was isolated from oral mucosal cell samples and fourteen single nucleotide polymorphisms(rs6456593, rs1419228, rs34647318, rs9467075, rs793862, rs9295619, rs807701, rs807724, rs2274305, rs7765678, rs4599626, rs6922023, rs3765502, and rs1087266) in DCDC2 were screened via the SNPscan method. We compared SNP frequencies in five models(Codominant, Dominant, Recessive, Heterozygote advantage, and Allele) between the two groups by means of the chi-squared test. A single-locus analysis indicated that, with regard to the allele frequency of these polymorphisms, three SNPs(rs807724, rs2274305, and rs4599626) were associated with dyslexia. rs9467075 and rs2274305 displayed significant associations with developmental dyslexia under the dominant model. rs6456593 and rs6922023 were significantly associated with developmental dyslexia under the dominant model and in the heterozygous genotype. Additionally, we discovered that the T-G-C-T of the four-marker haplotype(rs9295619-rs807701-rs807724-rs2274305) and the T-A of the two-marker haplotype(rs3765502-1087266) were significantly different between cases and controls. Thus, we conclude that DCDC2 gene polymorphisms are associated with developmental dyslexia in Chinese Uyghur children. 展开更多
关键词 nerve regeneration developmental dyslexia single nucleotide polymorphisms Xinjiang Uyghur Autonomous region elementary school students genetics reading disability gene polymorphisms etiology case-control study neural regeneration
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Deductive Fault Simulation Algorithm Based on Fault Collapsing
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作者 宫云战 魏道政 《Journal of Computer Science & Technology》 SCIE EI CSCD 1993年第2期182-187,共6页
The true value simulation is necessary in the critical path tracing fault simulation algorithm.The critical and non-critical inputs can be known after the number of controlling and non-controlling inputs and the criti... The true value simulation is necessary in the critical path tracing fault simulation algorithm.The critical and non-critical inputs can be known after the number of controlling and non-controlling inputs and the criticality of output of every gate are determined.Single output region(SOR)is defined for non-critical lines,so many other non-critical lines can be obtained before fault simulation.Then deductive fault simulation algorithm is used to compute the fault list for every possible critical line from bottom to top,which can greatly decrease the length of fault list and simulation time.The cross-section is defined to reduce the storage space.The experimental results are given at the end of the paper. 展开更多
关键词 Fault simulation CROSS-SECTION single output region
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Analysis of genotype polymorphism of tumor-related genes harbored in chromosome arm 1p and 8p in hepatocellular carcinoma patients by cSNP chip
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作者 Juan WANG Wenqin SONG 《Frontiers in Biology》 CSCD 2009年第1期82-88,共7页
The majority of single nucleotide polymorphisms(SNPs)found in the coding region(cSNPs)are single base substitutions that may or may not lead to amino acid substitutions,most of which are related to diseases.Some cSNPs... The majority of single nucleotide polymorphisms(SNPs)found in the coding region(cSNPs)are single base substitutions that may or may not lead to amino acid substitutions,most of which are related to diseases.Some cSNPs may prove useful for their potential links to functional cSNPs via linkage disequilibrium mapping.We have selected 48 cSNPs located in the coding regions of 25 genes to construct the cSNP chip.These genes are harbored in the high frequency loss regions of the chromosome 1p and 8p and related with apoptosis,cell cycles,signal transduction,oncogene,tumor suppressor genes and so on.All of the cSNPs can lead to amino acid substitutions except TP73(rs1801174).The PCR products amplified from 31 hepatocellular carcinoma(HCC)specimens were labeled with Dig-dUTP and then hybridized with the cSNP chips.The results showed that there was no hybridization signal when there was more than one site of mutation in the amplification sequence,indicating that the cSNP chip had a high sensitivity.The statistic data of the SNP(MT,homozygous and HT,heterozygous)in the HCC patients with different phenotypes(HBV+/-,differentiation stage,family history positive or negative,tumor size)indicated that the number of MT was distinctly different between patients with positive HBV and negative HBV.The MT and HT numbers of all the 48 cSNPs were significantly different between low differentiation and high differentiation HCC patients.The numbers of MT and HT were not different between positived and negative family history groups and between tumor size>3 cm and≤3 cm groups.The study results provided useful information for understanding the molecular mechanisms of HCC development. 展开更多
关键词 POLYMORPHISM hepatocellular carcinoma single nucleotide polymorphisms(SNPs)in coding region(cSNPs) tumor-related genes 1p and 8p
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