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。     

单核苷酸多态性研究进展及其在医学中的应用

单核苷酸多态性（single nucleotide polymorphism,SNP）是人类基因组中单个碱基的变异,其最低基因频率不低于1％,是被受关注的第三代多态性遗传标记,为医学、药学等研究提供了新的方向,其在复杂疾病、遗传病研究及法医中个体识别、亲权鉴定和药学研究方面都有重要作用,本文就其研究最新进展、应用及检测手段作一综述。     

水稻单核苷酸多态性及其应用现状

单核苷酸多态性（single nucleotide polymorphisms, SNPs）在水稻中数量多,分布密度高,遗传稳定性高。水稻SNPs的发现方法主要有对样本DNA的PCR产物直接测序、从SSR区段检测SNPs和从基因组序列直接搜索等。目前已有多种基因分型技术运用到了水稻SNPs检测,SNPs检测的高度自动化使水稻SNPs基因分型非常方便。单核苷酸多态性在水稻遗传图谱的构建、基因克隆和功能基因组学研究、标记辅助选择育种、遗传资源分类及物种进化等方面的应用具有巨大潜力。     

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。     

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。     

单核苷酸多态性的检测及其在医药领域的应用

单核苷酸多态性 (ｓｉｎｇｌｅｎｕｃｌｅｏｔｉｄｅｐｏｌｙ ｍｏｒｐｈｉｓｍ ,ＳＮＰ)是人类基因组作图的第三代多态性标记 ,它是指ＤＮＡ序列中单个核苷酸的差异 ,与限制性片段长度多态 (ＲＦＬＰ)、短串联重复序列 (ＳＴＲ)相比 ,ＳＮＰ更丰富地存在于基因组中 ,据估计在人类基因组中每千个核苷酸就有一个以上的ＳＮＰ ,其中有 2 0万存在于编码区 ,称作ｃＳＮＰ(ｃｏｄｉｎｇＳＮＰ) [1] 。而ＳＮＰ之所以引起几乎整个生命科学领域的重视 ,不仅因为它是一种理想的做图标记 ,更在于它可以成为研究基因组多态性和识别、定位疾病相关基因…     

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。     

变性高效液相色谱技术在单核苷酸多态性研究中的应用

人类基因组的单核苷酸多态性(SNPs)研究已成为后基因组时代最重要的内容和目的之一,随之而来的迫切任务是需要适合于自动化且高通量检测SNP的技术。变性高效液相色谱(DHPLC)是近几年发展起来的高效、快速筛检SNP的技术,因其检测SNP的高灵敏度、低成本以及全自动化操作等优点而备受关注。     

单核苷酸多态性分析在近交系大鼠遗传检测中的应用

目的研究SNP在近交系大鼠遗传检测中的应用。方法 选取大鼠20号染色体MHC所在P12区上的9个SNP位点,应用新建立的高保真酶特异性检测SNP基因分型技术对五种常用近交系大鼠(BN、F344、WKY、LEW、SHR)和两种新培育近交系大鼠(MIJ和HFJ)进行SNP多态性分析。结果五种常用近交系的SNP检测结果与Rat Genome Database网站提供的基因型数据一致,并检测确立了新品系的SNP基因型。同时绘制出七种近交系大鼠在该9个SNP位点的遗传扩增图谱。结论运用所筛选的9个SNP位点进行大鼠多态性分析,能够快速、可靠地对BN、F344、WKY、LEW、SHR及MIJ、HFJ进行遗传监测。     

单核苷酸多态性

单核苷酸多态性指基因组内特定核苷酸位置上存在两种不同的碱基,且最少一种在群体的频率不小于1％。由于其丰富、稳定、易实现分析的自动化,大规模的SNP鉴定和公共SNP数据库的建立已经开始。它作为一种全新的研究工具,希望利用它对复杂疾病基因进行大规模的连锁不平衡与相关分析,从而促进多基因疾病发病机理的研究和药物基因组学的发展。     

基于核基因分子多态性的葡萄属物种鉴定

葡萄属(Vitis)植物主要分布于东亚、北美洲以及欧洲至中亚地区。由于葡萄主要采用无性繁殖方式,地区间品种交流较多,同名异物及同物异名现象较为普遍,给葡萄属物种的分类、鉴定造成一定困难。本研究通过序列同源性比对的方法对葡萄属4种植物基因组的保守编码区进行比对,挖掘保守序列93条,经过验证,找到了一条可用于开发多态性分子标记的KOG3174同源序列,并根据该序列设计得到3对引物,可用于4种葡萄的分类、鉴定。     

BRCA1 基因启动子区SNPs 与散发性乳腺癌易感性的相关研究

目的:探讨BRCA1基因启动子区rs11655505、rs73625095位点单核苷酸多态性与散发性乳腺癌易感性的关系。方法:采用ASA-PCR方法对200例乳腺癌患者(均经病理确诊)及200例正常女性BRCA1基因启动子区rs11655505(A/G)、rs73625095(A/G)位点单核苷酸多态性(SNP)进行分析,并将其PCR产物进行测序。结果:乳腺癌患者BRCA1基因启动子区rs11655505位点的A/G基因型频率为75%,显著高于正常人的40%;A/A基因型频率为7%,G/G基因型频率为18%,分别低于正常人的30%、30%。此位点的A或G等位基因在乳腺癌病例组及对照组中均无差别(x2=2.427,P=0.119);rs73625095位点的A/G基因型频率为68%,显著高于正常人的15%;G/G基因型频率为32%,低于正常人的84%;乳腺癌病例组中BRCA1基因启动子区rs11655505、rs73625095位点的A/G基因型与淋巴结转移与否相比,差别均有统计学意义(x2=7.321,P=0.026、x2=4.782,P=0.029)。结论:BRCA1基因rs11655505位点、rs736...     

Development of single nucleotide polymorphism (SNP) markers for use in commercial maize (Zea mays L.) germplasm

The development of single nucleotide polymorphism (SNP) markers in maize offers the opportunity to utilize DNA markers in many new areas of population genetics, gene discovery, plant breeding and germplasm identification. However, the steps from sequencing and SNP discovery to SNP marker design and validation are lengthy and expensive. Access to a set of validated SNP markers is a significant advantage to maize researchers who wish to apply SNPs in scientific inquiry. We mined 1,088 loci sequenced across 60 public inbreds that have been used in maize breeding in North America and Europe. We then selected 640 SNPs using generalized marker design criteria that enable utilization with several SNP chemistries. While SNPs were found on average every 43 bases in 1,088 maize gene sequences, SNPs that were amenable to marker design were found on average every 623 bases; representing only 7% of the total SNPs discovered. We also describe the development of a 768 marker multiplex assay for use on the Illumina^® BeadArray? platform. SNP markers were mapped on the IBM2 intermated B73 × Mo17 high resolution genetic map using either the IBM2 segregating population, or segregation in multiple parent-progeny triplets. A high degree of colinearity was found with the genetic nested association map. For each SNP presented we give information on map location, polymorphism rates in different heterotic groups and performance on the Illumina^® platform.     

Genetic polymorphisms in AURKA,BRCA1, CCNE1 and CDK2 are associated with ovarian cancer susceptibility among Chinese Han women

IntroductionCentrosome aberrations and cell-cycle deregulation have important implications for ovarian cancer development. The AURKA, BRCA1, CCNE1 and CDK2 genes play pivotal roles in centrosome duplication and cell-cycle regulation.MethodsUsing a haplotype-based analysis, this study aimed to investigate whether genetic polymorphisms in these four genes may contribute to ovarian cancer susceptibility. A total of 22 single nucleotide polymorphisms (SNPs) in these four genes were genotyped in 287 cases of ovarian serous cystadenocarcinomas and 618 age-matched cancer-free controls from the Chinese Han population, and then haplotype blocks were reconstructed according to our genotyping data and linkage disequilibrium (LD) status of these SNPs.ResultsFor AURKA, we found that haplotype GA [rs6064391 (T→G) + rs911162 (G→A)] was strongly associated with decreased ovarian cancer risk (adjusted OR = 0.31, 95% CI = 0.15–0.63, P = 0.0012). For BRCA1, we found that haplotype CGTAG was associated with decreased ovarian cancer risk (adjusted OR = 0.64, 95% CI = 0.41–0.98, P = 0.0417). Moreover, women harboring homozygous GA/CGTAG haplotypes showed the lowest risk (OR = 0.12, 95% CI = 0.02–0.94, P = 0.0438). In CCNE1, the SNPs rs3218035 and rs3218042 were significantly associated with increased ovarian cancer risk (rs3218035: adjusted OR = 5.20, 95% CI = 1.85–14.52, P = 0.0017; rs3218042: adjusted OR = 4.98, 95% CI = 1.75–14.19, P = 0.0027). For CDK2, no significant association was found.ConclusionsThis study indicates that genetic polymorphisms of AURKA, BRCA1 and CCNE1 may affect ovarian cancer susceptibility in Chinese Han women.     

长白落叶松群体4CL基因单核苷酸多态性分析

以黑龙江省林口县青山林场21年生长白落叶松（Larix olgensis Henry）异地保存种为材料,利用SNP标记方法和DNAMAN软件分析白刀山种源子代林的单核甘酸多态性情况。从分子水平证明长白落叶松具有丰富的遗传多样性,用4CL-A引物检测到178个SNP多态位点。共测序240条EST序列,测序成功193条,测序成功率为80.42%。本研究178个SNP变异中,有126个属于转换类型,占总变异的70.79%;有52个属于颠换类型,占总变异的29.21%,变异类型符合,转换∶颠换=7∶3。在转换类型中,A/G和C/T转换分别占37.08%和33.71%;颠换类型中G/C、A/C、A/T、和G/T分别在占7.87%、8.99%、7.87%和4.99%。但每个家系内的转换和颠换的比例相差较大,没有规律。转换和颠换的比例最大的是554号家系,其比值为7∶1,最小的家系是855号家系,其比值为3∶4。     

尼罗罗非鱼ghrelin基因的多态性及其与生长性状相关SNP位点的筛选

为了研究尼罗罗非鱼(Oreochromis niloticus)生长激素促分泌素基因(ghrelin)的多态性及其与生长的相关性, 研究以两个尼罗罗非鱼群体(快长群体和基础群体)的DNA样本各40份为模板, 通过PCR扩增和测序获得ghrelin基因序列。通过Dnasp v5和MEGA 5.0分析序列多态性、筛选有效SNP 位点; 采用Snapshot法对两个群体子代ghrelin基因中SNP位点进行基因分型, 然后分析SNP位点基因型与生长性状的相关性。结果表明, 快长群体ghrelin基因中的单核苷酸变异位点数(S)比基础群体要少, 而核苷酸多态性(Pi)和平均核苷酸差异数(K)要略高于基础群体。共筛得3个有效SNP 位点(S1、S2和S3), 均分布于第1个内含子中。遗传结构分析表明, 3个SNP 位点在两个群体的子代中均为低度多态性位点(PIC0.25), 但处于Hardy-Weinberg平衡(P0.05);快长群体子代中3个SNP 位点的观测杂合度、期望杂合度和多态信息含量等遗传多样性参数均小于基础群体子代的相应值, 3个SNP 位点的遗传多样性参数、基因型和基因频率在同一群体中高度一致, SNP 位点之间完全连锁。两个群体子代中3个SNP 位点处的优势基因型相同, 但快长群体子代中优势基因型频率要明显大于基础群体子代中相应基因型频率。对两个群体子代的生长性状与SNP基因型进行关联性分析的结果表明,尼罗罗非鱼个体的多项生长指标(体重、体长、体高、头长和尾柄高等)在不同基因型中存在显著差异(S1:GG AG, S2:TT AT, S3:AA AT)(P0.05)。D1双倍型(S1:GG, S2:TT, S3:AA)所对应的尼罗罗非鱼个体的多项生长指标(体重、体长、体高、头长和尾柄高等)显著高于D2双倍型(S1:AG, S2:AT, S3:AT)。以上结果表明, 尼罗罗非鱼ghrelin基因3个SNP 位点完全连锁, D1双倍型与快长性状密切相关, 可作为尼罗罗非鱼分子标记辅助育种的候选标记。     

Large-scale identification and characterization of genetic variants in asthma candidate genes

Asthma is a chronic inflammatory disorder of the airways, and a number of genetic loci are associated with the disease. Candidate gene association studies have been regarded as effective tools to study complex traits. Knowledge of the sequence variation and structure of the candidate genes is required for association studies. Thus, we investigated the genetic variants of 32 asthma candidate genes selected by colocalization of positional and functional candidate genes. We screened all exons and promoter regions of those genes using 12 healthy individuals and 12 asthma patients and identified a total of 418 single nucleotide polymorphisms (SNPs), including 270 known SNPs and 148 novel SNPs. Levels of nucleotide diversity varied from gene to gene (0.72×10⁻⁴–14.53×10⁻⁴), but the average nucleotide diversity between coding SNPs (cSNPs) and noncoding SNPs was roughly equivalent (4.63×10⁻⁴ vs 4.69×10⁻⁴). However, nucleotide diversity of cSNPs was strongly correlated to codon degeneracy. Nucleotide diversity was much higher at fourfold degenerate sites than at nondegenerate sites (9.42×10⁻⁴ vs 3.14×10⁻⁴). Gene-based haplotype analysis of asthma-associated genes in this study revealed that common haplotypes (frequency >5%) represented 90.5% of chromosomes, and they could be uniquely identified with five or fewer haplotype-tagging SNPs per gene. Therefore, our results may have important implications for the selection of asthma candidate genes and SNP markers for comprehensive association studies using large sample populations.     

Application of genome-wide SNP data for uncovering pairwise relationships and quantitative trait loci

The genetic analysis of quantitative traits in humans is changing as a result of the availability of whole-genome SNP data. Heritability analysis can make use of actual genetic sharing between pairs of individuals estimated from the genotype data, rather than the expected genetic sharing implied by their family relationship. This could provide more accurate heritability estimates and help to overcome the equal environment assumption. Quantitative trait locus (QTL) linkage mapping can make use of local genetic sharing inferred from very dense local genotype data from pedigree members or individuals not previously known to be related. This approach may be particularly suited for detecting loci that contain rare variants with major effect on the phenotype. Finally, whole-genome SNP data can be used to measure the genetic similarity between individuals to provide matched sets for association studies, in order to avoid spurious association from population stratification.