MTMR3基因1670C>T多态性与胃癌易感性的关系研究

目的:探讨MTMR3基因3'非翻译区(3'UTR)1670CT多态性与胃癌发病的关联。方法:通过病例对照研究,采用聚合酶链式反应-限制性片段长度多态性方法检测500例胃癌患者和502例正常对照者MTMR3基因1670CT位点的基因型,通过非条件Logistic回归,并校正了性别、年龄、吸烟、饮酒的影响,分析该位点与胃癌易感性的关系。结果:MTMR3基因1670CT基因型分布在病例组和对照组均符合Hardy-Weinberg平衡(P0.05)。经过年龄、性别、吸烟和饮酒状况校正的非条件logistic回归分析发现,与CC基因型患者相比,含有T等位基因的基因型(CT和TT)患者胃癌的发病风险增高(校正优势比=1.72,95%置信区间=1.36~2.16,P=3.99×10-5)。结论:MTMR3基因1670CT多态性位点与胃癌发病存在显著性关联,1670T可能是胃癌发生的一个遗传危险因素。     

补体系统基因单核苷酸多态性及其与疾病的关系

天然免疫系统在病原微生物入侵的初始阶段发挥着重要的防御作用,其中补体系统可快速识别、杀伤和清除病原微生物,对疾病的发生、发展和转归起着重要的作用。文章综述了补体系统各成份单核苷酸多态性与疾病的关联研究进展,在DNA水平上揭示了补体系统遗传多态性对疾病发生、发展和转归的影响,对疾病的预防和个体化治疗具有重要的意义。     

MicroRNA靶基因的高通量鉴定方法

MicroRNAs（miRNAs）是一类内源性非编码小RNA,可在转录后水平调节基因的表达, 在细胞生长、发育、疾病发生等过程中发挥着重要作用. 明确miRNAs所调控的靶基因对阐明miRNAs的功能及在各种生命过程和疾病发生机制的角色非常关键.目前,鉴定miRNAs的靶基因的方法主要计算机预测方法和生物学实验方法.前者对miRNA靶基因的寻找作出巨大贡献,但常存在很多假阳性,必须通过生物学实验方法加以验证.后者涉及单靶基因鉴定技术和高通量多靶基因鉴定技术,高通量技术又包括基因芯片分析技术、蛋白质组学分析技术、RNA连接酶介导的cDNA末端扩增技术和生物化学法等.本文主要对这些高通量技术的应用、优劣进行归纳,并对其改进方向予以讨论.     

单核苷酸多态性与大肠癌遗传易感性

大肠癌遗传易感性与单核苷酸多态性（SNP）的关系是近年来研究的热点。研究发现COX2,MTHFR等代谢相关基因的某些SNP与大肠癌的发病风险相关,其中携带COX29850G-10335A单倍型的个体可显著增加患大肠癌的风险。MMP家族是调控大肠癌侵袭转移的重要基因,MMP7-181G等位型频率可显著增加大肠癌淋巴结转移风险。进一步寻找大肠癌特异性SNP,对筛选大肠癌高危人群,预估发病风险,具有重要意义。     

大规模单核苷酸多态性分析与肿瘤易感性

单核苷酸多态性(SNPs)是人类基因组中最常见的变异形式。作为第三代遗传标记,SNP在基因定位、克隆、遗传多态性方面具有广泛应用,特别是作为基因诊断标记在预防医学中具有十分重要的作用。近年来,随着人类基因组计划的发展,数以百万计的SNP被陆续发现,并可在公共数据库中免费获得。SNP数量的快速增加和SNP检测方法的发展,为其在肿瘤易感性领城的应用提供了可能。在本综述中,我们介绍了几种高通量检测SNP的分析方法,总结了大规模SNP分析技术在肿瘤易感性中的应用,介绍了目前人们对于不同人群中的SNP分析、肿瘤易感基因、个体肿瘤易感性的理解,以及研究SNP标记与肿瘤易感性关系时存在的难点。     

鸡Myostatin基因单核苷酸多态性的群体遗传学分析

肌肉生长抑制素是控制骨骼肌生长发育的重要细胞因子,采用PCR－SSCP和测序的方法发现了5个位于Myostatin基因5′－和3′－调控区的单核苷酸多态性位点,对北京油鸡、白耳鸡、石歧杂、矮小黄鸡、小型黄鸡、惠阳胡须鸡、隐性白羽鸡、海兰、AA鸡等不同鸡种的该单核苷酸多态性分析结果表明：Myostatin基因的5′调控区引物P60／P61扩增片段多态性是由3个核苷酸的改变而产生的[分别是G→A（304位）、A→G（322位）、G→（344位）],引物P93／P94扩增片段的多态性是由G→A（167位）突变造成的,引物P117。P118PC扩增片段多态性是由T→C（177位）造成的。3′调控我引物P80／P81扩增片段多态性是由第7263位A突变为T造成的,引物P76／P77扩增片段多态性是由A→G（6935位）造成的。不同鸡种群体遗传学分析表明,5′－调控区引物60／P61扩增片段多态性片段多态性是由A→G（6935位）造成的。不同鸡种群体遗传学分析表明,5′－调控区引物P60／P61扩增片段多态性位点在北京油鸡的基因型频率分布与其他的品种有很大的差异,其BB型频率为0．700,AA基因型频率仅为0．033,而其他鸡种中以A基因优势;对于引物P93／P94,品种间的基因型频率差异极显著（P＜0．01）,北京油鸡和AA鸡的EE型频率鸡种中以A基因占优势;对于引物P93／P94,品种间的基因型频率差异极显著（P＜0．01）,北京油鸡和AA鸡的EE型频率低于其他品种,白耳鸡和海兰蛋鸡以EE型为主,其频率高于其他品种;3′－调控区引物P80／P81多态怀位点在9个鸡种中都是等位基因C占优势。引物P76／P77,总体上MM型的频率较低,杂合子MN型的频率较高。     

BRD7单核苷酸多态性及鼻咽癌易感性分析

为了探讨BRD7基因的遗传变异在鼻咽癌发生的作用,采用PCR-SSCP和直接测序方法对BRD7 基因的编码区进行单核苷酸多态性（coding-region single nucleotide polymorphism, cSNP）分析,并对两个鼻咽癌家系的高危成员、57个散发性鼻咽癌病人和50个正常人进行了BRD7等位基因分型.在BRD7基因的编码区发现了3个cSNP（C450T、A538C和A737G）,其中A538C颠换导致其编码蛋白的第162个氨基酸由Asp变为Ala;C450T改变与同义的A737C多态性偶联发生在87.7%的鼻咽癌活检组织和配对的外周血、所有的鼻咽癌家系的患者及8个易感成员,但是仅存在于22%的正常人血标本中.C450T多态性变化可以导致其编码蛋白在第133位氨基酸的翻译终止（G133Ter）.以上结果说明,C450T和A737C偶联的多态性改变是鼻咽癌发生和发展的重要遗传易感风险因子之一（P＜0.01）;BRD7基因有两种翻译方式,G133Ter可以导致另一种截断的翻译本（truncated isoform）.     

单核苷酸多态性基因分型技术原理与进展

在基因组规模了解遗传变异与生物功能之间的关系可望为生物学带来全新的深入认识。本从等位基因分型机理、反应形式和检测方法等三个方面讨论SNP分型方法的现状,并简要介绍了目前应用的一些分型方法。     

miRNA及其靶位点多态性的研究进展

微RNA(microRNA,miRNA)是一类进化上保守、长度为21～23nt的非编码单链小RNA,参与个体发育、器官形成、细胞增殖、分化和细胞凋亡等生物学过程,并在其中发挥重要的调节作用。近年来研究发现,miRNA及其靶位点的多态将引起不同类型的疾患。文章主要从miRNA及其靶位点的多态类型,以及由多态性引起的相关疾病等方面来阐述miRNA的最新进展。     

BRD7单核苷酸多态性及鼻咽癌易感性分析

为了探讨BRD7基因的遗传变异在鼻咽癌发生的作用,采用PCR-SSCP和直接测序方法对BRD7基因的编码区进行单核苷酸多态性（coding-region single nucleotide polymorphism,cSNP）分析,并对两个鼻咽癌家系的高危成员、57个散发性鼻咽癌病人和50个正常人进行了BRD7等位基因分型.在BRD7基因的编码区发现了3个cSNP（C450T、A538C和A737G）,其中A538C颠换导致其编码蛋白的第162个氨基酸由Asp变为Ala;C450T改变与同义的A737C多态性偶联发生在87.7%的鼻咽癌活检组织和配对的外周血、所有的鼻咽癌家系的患者及8个易感成员,但是仅存在于22%的正常人血标本中.C450T多态性变化可以导致其编码蛋白在第133位氨基酸的翻译终止（G133Ter）.以上结果说明,C450T和A737C偶联的多态性改变是鼻咽癌发生和发展的重要遗传易感风险因子之一（P＜0.01）;BRD7基因有两种翻译方式,G133Ter可以导致另一种截断的翻译本（truncated     

Aberrant allele frequencies of the SNPs located in microRNA target sites are potentially associated with human cancers

MicroRNAs (miRNAs) are a class of noncoding small RNAs that regulate gene expression by base pairing with target mRNAs at the 3'-terminal untranslated regions (3'-UTRs), leading to mRNA cleavage or translational repression. Single-nucleotide polymorphisms (SNPs) located at miRNA-binding sites (miRNA-binding SNPs) are likely to affect the expression of the miRNA target and may contribute to the susceptibility of humans to common diseases. We herein performed a genome-wide analysis of SNPs located in the miRNA-binding sites of the 3'-UTR of various human genes. We found that miRNA-binding SNPs are negatively selected in respect to SNP distribution between the miRNA-binding 'seed' sequence and the entire 3'-UTR sequence. Furthermore, we comprehensively defined the expression of each miRNA-binding SNP in cancers versus normal tissues through mining EST databases. Interestingly, we found that some miRNA-binding SNPs exhibit significant different allele frequencies between the human cancer EST libraries and the dbSNP database. More importantly, using human cancer specimens against the dbSNP database for case-control association studies, we found that twelve miRNA-binding SNPs indeed display an aberrant allele frequency in human cancers. Hence, SNPs located in miRNA-binding sites affect miRNA target expression and function, and are potentially associated with cancers.     

Principles and limitations of computational microRNA gene and target finding

In 2001 there were four PubMed entries matching the word "microRNA" (miRNA). Interestingly, this number has now far exceeded 1300 and is still rapidly increasing. This more than anything demonstrates the extreme attention this field has had within a short period of time. With the large amounts of sequence data being generated, the need for analysis by computational approaches is obvious. Here, we review the general principles used in computational gene and target finding, and discuss the strengths and weaknesses of the methods. Several methods rely on detection of evolutionary conserved candidates, but recent methods have challenged this paradigm by simultaneously searching for the gene and the corresponding target(s). Whereas the early methods made predictions based on sets of hand-derived rules from precursor-miRNA structure or observed target-miRNA interactions, recent methods apply machine learning techniques. Even though these methods are already powerful, the amount of data they rely on is still limited. Since it is evident that data are continuously being generated, it must be anticipated that these methods will further improve their performance.     

鸡6个功能基因microRNA靶标区域SNP的生物信息学预测

GDF-8、IGF-I,IGF-III、IGF2R、,IGFBP2和GHR是鸡的重要经济性状候选基因.利用miRanda和Targetscan软件预测6个基因3'UTR潜在的microRNA靶标,并发掘靶标区域SNP位点.结果表明:在6个基因的26个microRNA靶标区域,共检测到125个SNP位点,在靶标及其5'和3'邻接等长侧翼区分别检测到47个,44个和35个SNPs位点,其中12个SNP定位于靶标种子序列互补区.种子序列互补区及其3'侧翼区的SNP位点可能会影响microRNA的调控,导致家禽的表型变异.     

Single nucleotide polymorphisms (SNPs) in the estrogen receptor gene and breast cancer susceptibility

In order to evaluate the role of inherited variation in the estrogen receptor (ESR1) gene in human breast cancer, we determined intronic sequences flanking each ESRI exon; identified multiple SNPs and length polymorphisms in the ESR1 coding sequence, splice junctions and regulatory regions; and genotyped families at high risk of breast cancer and population-based breast cancer patients and controls. Of 10 polymorphic sites in ESR1, four are synonymous SNPs, two are nonsynonymous SNPs and four are length polymorphisms; five are novel. No ESR1 polymorphisms were associated with breast cancer, either in the high-risk families or the case-control study. We therefore conclude that inherited genetic variation is not a mechanism by which the estrogen receptor is commonly involved in breast cancer development.     

MicroRNA target site polymorphisms and human disease

MicroRNAs (miRNAs) are important regulators of eukaryotic gene expression. They have been implicated in a broad range of biological processes, and miRNA-related genetic alterations probably underlie more human diseases than currently appreciated. Several studies have identified genetic variants in miRNA target sites that are claimed to be associated with disorders ranging from Parkinson's disease to cancer. However, careful assessment of these studies indicates that very few provide a combination of rigorous genetic and functional evidence. We therefore suggest a set of concrete recommendations to guide future investigations. Specifically, we highlight the importance of unbiased association studies and follow-up functional experiments for providing a clearer picture of the extent to which microRNA target site variations are relevant in various human diseases.     

Detection of simultaneous group effects in microRNA expression and related target gene sets

Expression levels of mRNAs are among other factors regulated by microRNAs. A particular microRNA can bind specifically to several target mRNAs and lead to their degradation. Expression levels of both, mRNAs and microRNAs, can be obtained by microarray experiments. In order to increase the power of detecting microRNAs that are differentially expressed between two different groups of samples, we incorporate expression levels of their related target gene sets. Group effects are determined individually for each microRNA, and by enrichment tests and global tests for target gene sets. The resulting lists of p-values from individual and set-wise testing are combined by means of meta analysis. We propose a new approach to connect microRNA-wise and gene set-wise information by means of p-value combination as often used in meta-analysis. In this context, we evaluate the usefulness of different approaches of gene set tests. In a simulation study we reveal that our combination approach is more powerful than microRNA-wise testing alone. Furthermore, we show that combining microRNA-wise results with 'competitive' gene set tests maintains a pre-specified false discovery rate. In contrast, a combination with 'self-contained' gene set tests can harm the false discovery rate, particularly when gene sets are not disjunct.     

Abundance of microRNA target motifs in the 3'-UTRs of 20527 human genes

A mechanism, selective avoidance, proposes that microRNA (miRNA) target sites are selectively depleted in the 3'-UTRs of genes expressed at the same time and place as a miRNA. If this mechanism is ubiquitous, the target motif occurrences in the 3'-UTRs would be decreased. To test this hypothesis, we examined miRNA target motif occurrences in the 3'- and 5'-UTRs of 20527 human protein-coding genes. The results revealed that miRNA target motifs appeared more frequently than non-target motifs and were enriched in the 3'-UTRs. This enrichment was relatively reduced in a set of 2525 genes coexpressed with miR-124a in the prefrontal cortex, but still remained at a high level, suggesting that miRNA target motifs are fostered by some other factors that surpass the influence of selective avoidance.