目的应用Affymetrix SNP 6.0芯片技术筛选先天性小耳畸形的候选致病基因。方法对3例小耳畸形患者血液基因组进行Affymetrix SNP 6.0芯片分析,采用Birdseed软件分析样本的芯片数据,通过Minor Allele Frequency对在患者和汉族人参考样本...目的应用Affymetrix SNP 6.0芯片技术筛选先天性小耳畸形的候选致病基因。方法对3例小耳畸形患者血液基因组进行Affymetrix SNP 6.0芯片分析,采用Birdseed软件分析样本的芯片数据,通过Minor Allele Frequency对在患者和汉族人参考样本中有显著差异的单核苷酸多态性(SNP)进行筛选。结果得到SNP相关基因4 180个,根据已知文献收集和耳部发育相关并被SNP 6.0注释的基因共5个,包括MSX1,MSX2,GSC,HOXA2和PRKRA。结论应用Affymetrix SNP 6.0芯片技术筛选出5个先天性小耳畸形的候选致病基因,分别是MSX1,MSX2,GSC,HOXA2和PRKRA。展开更多
Soybean cyst nematode （SCN） is one of the most devastating pathogen for soybean. Therefore, identiifcation of resistant germplasm resources and resistant genes is needed to improve SCN resistance for soybean. Soybea...Soybean cyst nematode （SCN） is one of the most devastating pathogen for soybean. Therefore, identiifcation of resistant germplasm resources and resistant genes is needed to improve SCN resistance for soybean. Soybean varieties Huipizhiheidou and Wuzhaiheidou were distributed in China and exhibited broad spectrums of resistance to various SCN races. In this study, these two resistant varieties, combined with standard susceptible varieties （Lee and Essex）, were utilized to identify the differentially expressed transcripts after infection with SCN race 4 between resistant and susceptible reactions by using the Affymetrix Soybean Genome GeneChip. Comparative analyses indicated that 21 common genes changed signiifcantly in the resistant group, of which 16 increased and 5 decreased. However, 12 common genes changed signiifcantly in the susceptible group, of which 9 increased and 3 decreased. Additionally, 27 genes were found in common between resistant and susceptible reactions. The 21 signiifcantly changed genes in resistant reaction were associated with disease and defense, cell structure, transcription, metabolism, and signal transduction. The fold induction of 4 from the 21 genes was conifrmed by quantitative RT-PCR （qRT-PCR） analysis. Moreover, the gene ontology （GO） enrichment analyses demonstrated the serine family amino acid metabolic process and arginine metabolic process may play important roles in SCN resistance. This study provided a new insight on the genetic basis of soybean resistance to SCN race 4, and the identiifed resistant or resistant-related genes are potentially useful for SCN-resistance breeding in soybean.展开更多
Copy number variation （CNV） is a type of genetic variation which may have important roles in phenotypic variability and disease susceptibility. To hunt for genetic variants underlying human height variation, we perf...Copy number variation （CNV） is a type of genetic variation which may have important roles in phenotypic variability and disease susceptibility. To hunt for genetic variants underlying human height variation, we performed a genome wide CNV association study for human height in 618 Chinese unrelated subjects using Affymetrix 500K array set. After adjusting for age and sex, we found that four CNVs at 6p21.3, 8p23.3-23.2, 9p23 and 16p12.1 were associated with human height （with borderline significant p value： 0.013, 0.011, 0.024, 0.049; respectively）. However, after multiple tests correction, none of them was associated with human height. We observed that the gain of copy number （more than 2 copies） at 8p23.3-23.2 was associated with lower height （normal copy number vs. gain of copy number： 161.2 cm vs. 153.7 cm, p = 0.011）, which accounted for 0.9% of height variation. Loss of copy number （less than 2 copies） at 6p21.3 was associated with 0.8% lower height （loss of copy number vs. normal copy number： 154.5 cm vs. 161.1 cm, p = 0.013）. Since no important genes influencing height located in CNVs at loci of 8p23.3-23.2 and 6p21.3, the two CNVs may cause the structural rear- rangements of neighbored important candidate genes, thus regulates the variation of height. Our results expand our knowledge of the genetic factors underlying height variation and the biological regulation of human height.展开更多
文摘目的 应用Affymetrix全基因组芯片结合荧光定量PCR（quantitative real-timePCR，qPCR）技术，进行致病性DNA拷贝数变异的精细定位研究。方法以一个定位于染色体7q36的中国人遗传性三节拇指多并指综合征伴随Ⅳ型并指家系中的一例患者为研究对象。收集外周血标本，常规提取基因组DNA。应用Affymetrix Genome-Wide Human SNP Array6．0芯片，将基因组DNA纯化，经过酶切、连接、扩增、标记、杂交、染色和扫描等步骤后得到原始数据，应用Affymetrix Genotyping Console3．0软件进行拷贝数分析。在经芯片分析所确定的重复范围内设计引物，采用qPCR方法进行验证，并进一步缩小断端范周、精确重复区域范围。结果将患者重复区域两断端范围由原来的113kb和33kb分别缩小到5．4kb和1．8kb，致病性DNA重复范围由原来的291～437kb精确至379～387kb。结论应用Affymetrix全基因组芯片联合qPCR技术可以实现对DNA拷贝数突变的精确、可靠的检测。
文摘目的应用Affymetrix SNP 6.0芯片技术筛选先天性小耳畸形的候选致病基因。方法对3例小耳畸形患者血液基因组进行Affymetrix SNP 6.0芯片分析,采用Birdseed软件分析样本的芯片数据,通过Minor Allele Frequency对在患者和汉族人参考样本中有显著差异的单核苷酸多态性(SNP)进行筛选。结果得到SNP相关基因4 180个,根据已知文献收集和耳部发育相关并被SNP 6.0注释的基因共5个,包括MSX1,MSX2,GSC,HOXA2和PRKRA。结论应用Affymetrix SNP 6.0芯片技术筛选出5个先天性小耳畸形的候选致病基因,分别是MSX1,MSX2,GSC,HOXA2和PRKRA。
基金supported by the National Nature Science Foundation of China (31301345 and 31171576)the CAAS Innovation Project, the Genetically Modified Organisms Breeding Major Projects, China (2009ZX08004-003B and 2011ZX08004-003)the Key Technologies R&D Program of China during the 12th Five-Year Plan period (2011BAD35B06-3)
文摘Soybean cyst nematode （SCN） is one of the most devastating pathogen for soybean. Therefore, identiifcation of resistant germplasm resources and resistant genes is needed to improve SCN resistance for soybean. Soybean varieties Huipizhiheidou and Wuzhaiheidou were distributed in China and exhibited broad spectrums of resistance to various SCN races. In this study, these two resistant varieties, combined with standard susceptible varieties （Lee and Essex）, were utilized to identify the differentially expressed transcripts after infection with SCN race 4 between resistant and susceptible reactions by using the Affymetrix Soybean Genome GeneChip. Comparative analyses indicated that 21 common genes changed signiifcantly in the resistant group, of which 16 increased and 5 decreased. However, 12 common genes changed signiifcantly in the susceptible group, of which 9 increased and 3 decreased. Additionally, 27 genes were found in common between resistant and susceptible reactions. The 21 signiifcantly changed genes in resistant reaction were associated with disease and defense, cell structure, transcription, metabolism, and signal transduction. The fold induction of 4 from the 21 genes was conifrmed by quantitative RT-PCR （qRT-PCR） analysis. Moreover, the gene ontology （GO） enrichment analyses demonstrated the serine family amino acid metabolic process and arginine metabolic process may play important roles in SCN resistance. This study provided a new insight on the genetic basis of soybean resistance to SCN race 4, and the identiifed resistant or resistant-related genes are potentially useful for SCN-resistance breeding in soybean.
基金supported by Natural Science Foundation of China (Nos. 30600364, 30771222, and 30900810)NSFC-Canadian Institutes of Health Research(CIHR) Joint Health Research Initiative Proposal (No.30811120436)+3 种基金NSFC/RGC Joint Research Scheme (No.30731160618)Shanghai Leading Academic Discipline Project (No. S30501)startup fund from Shanghai University of Science and Technologysupported by grants from NIH (Nos. P50AR055081,R01AG026564, R01AR050496, RC2DE020756,R01AR057049, and R03TW008221)
文摘Copy number variation （CNV） is a type of genetic variation which may have important roles in phenotypic variability and disease susceptibility. To hunt for genetic variants underlying human height variation, we performed a genome wide CNV association study for human height in 618 Chinese unrelated subjects using Affymetrix 500K array set. After adjusting for age and sex, we found that four CNVs at 6p21.3, 8p23.3-23.2, 9p23 and 16p12.1 were associated with human height （with borderline significant p value： 0.013, 0.011, 0.024, 0.049; respectively）. However, after multiple tests correction, none of them was associated with human height. We observed that the gain of copy number （more than 2 copies） at 8p23.3-23.2 was associated with lower height （normal copy number vs. gain of copy number： 161.2 cm vs. 153.7 cm, p = 0.011）, which accounted for 0.9% of height variation. Loss of copy number （less than 2 copies） at 6p21.3 was associated with 0.8% lower height （loss of copy number vs. normal copy number： 154.5 cm vs. 161.1 cm, p = 0.013）. Since no important genes influencing height located in CNVs at loci of 8p23.3-23.2 and 6p21.3, the two CNVs may cause the structural rear- rangements of neighbored important candidate genes, thus regulates the variation of height. Our results expand our knowledge of the genetic factors underlying height variation and the biological regulation of human height.
