运动能力相关基因的先天遗传与后天转移

对人体生理特性的研究结果显示,部分运动相关基因如α-肌动蛋白-3、血管紧张素I转换酶、Ⅱ型活化素受体B的基因多态性会明显影响运动员的运动天赋和体能。建立优秀运动员基因库,发现和鉴定可影响运动能力的基因变异体,使得在儿童中开展DNA测试,挑选适合某种特殊体育项目的运动天才和优化训练方法具有一定现实操作意义。另一方面,随着滥用基因技术以提高运动能力的可能性不断提高,部分基因有可能作为基因兴奋剂,通过基因转移的方法导入人体,其所涉及的伦理问题、对人类健康及社会的潜在危害等,已经引起了来自自然科学和社会科学不同领域的广泛关注。     

中国北方汉族人群Apolipoprotein基因T-1131C多态与急性冠脉综合征的关联研究

目的:探讨ApoA5基因T-1131C多态性与急性冠脉综合征(acute coronary syndrome,ACS)的相关关系。方法:采用聚合酶链反应-限制性片段长度多态性技术结合琼脂糖凝胶电泳和基因测序等方法对675例ACS的患者和660例正常对照组进行检测,分析ApoA5基因T-1131C单核苷酸多态的基因型和等位基因频率的在ACS组和对照组的分布情况。结果:ApoA5基因T-1131C单核苷酸多态在ACS组和对照组间的分布频率皆符合Hardy-Weinberg平衡定律(P0.05),ApoA5基因T-1131C单核苷酸多态三种基因型(TT型,TC型和CC型)在ACS组分布频率分别为35.4%,48.1%和16.4%,在对照组的分布频率分别为41.1%,48.6%和10.4%。ApoA5基因T-1131C单核苷酸多态的CC等位基因在ACS组和对照组间的分布存在显著性差异(P=0.002),C等位基因是ACS发病的独立的危险因素1.28(P=0.002,95%CI=1.09-1.57)。Logistic回归校正性别、年龄、体重指数、吸烟、高血压、高脂血症、糖尿病等CAD易患因素后,ApoA5基因T-1131C多态与ACS的发病仍存在相关关系。结论:在中国北方汉族人群中ApoA5基因T-1131C多态与ACS的发病相关,ApoA5基因T-1131C多态C等位基因是ACS发病的独立危险因素。     

中国北方汉族人群核呼吸因子-1基因+141G/T单核苷酸多态与冠心病发病的关联研究

目的:本研究旨在探讨IRF-1基因+141 G/T单核苷酸多态位点与中国北方汉族人群冠心病发病的相关关系。方法:本研究采用聚合酶链反应-限制性片段长度多态性对经过冠脉造影证实的冠状动脉有一条主要分支狭窄大于70%的675例冠心病患者和经过冠状动脉造影证实冠状动脉狭窄小于20%或完全正常的636例对照患者进行检验检,分析核呼吸因子IRF-1基因+141G/T单核苷酸多态位点的基因型和等位基因频率在两组间的分布情况。结果:核呼吸因子IRF-1基因+141 G/T单核苷酸多态位点三种基因型(GG型,GT型和TT型)在中国北方汉族人群冠心病组的分布频率分别为53.8%,36.2%和10.1%,在对照组的分布频率分别为45.6%,46.2%和8.2%,核呼吸因子IRF-1基因+141 G/T单核苷酸多态位点的基因型和等位基因频率分布在对照组和冠心病组之间存在统计学差异(P0.05)。Logistic回归分别校正冠心病的其他危险因素性别、年龄、体重指数、吸烟、高血压、高脂血症、糖尿病等后,核呼吸因子IRF-1基因+141 G/T单核苷酸多态位点与中国北方汉族人群的冠心病的发病存在相关关系(P0.05)。结论:核呼吸因子IRF-1基因+141 G/T单核苷酸多态与中国北方汉族人群冠心病的发病存在相关关系,IRF-1基因+141 G/T多态可能是中国北方汉族人群冠心病发病的独立危险因子。     

中国汉族人群CXCR2基因＋1235C/T多态与急性冠脉综合征的关联研究

目的：炎症反应在动脉粥样斑块变化的病理过程中发挥着重要的作用。本研究探讨CXCR2基因＋1235 C/T单核苷酸多态与中国汉族人群急性冠脉综合征发病的相关关系。方法：本研究采用聚合酶链反应-限制性片段长度多态性方法对675例急性冠脉综合征的患者和636例对照组进行检测,分析CXCR2基因＋1235 C/T单核苷酸多态的基因型和等位基因频率的分布情况,同时收集济南军区总医院心内科经冠脉造影证实为阳性的急性冠脉综合征患者360例及对照者360例,对上述关联分析的结果进行复制实验的印证。结果：CXCR2基因＋1235 C/T单核苷酸多态三种基因型（CC型,CT型和TT型）在急性冠脉综合征组分布频率分别为39.3%,45.3%和15.1%,在对照组分别为41.7%,47.2%和11.1%,CXCR2基因＋1235 C/T基因型和等位基因频率对照组和急性冠脉综合征组之间存在统计学差异（P〈0.05）。Logistic回归校正性别、年龄、体重指数、吸烟、高血压、高脂血症、糖尿病等冠心病的易患因素后,CXCR2基因＋1235 C/T多态与急性冠脉综合征的发病存在相关关系（P〈0.05）。结论：CXCR2基因＋1235 C/T多态与急性冠脉综合征发病存在相关关系,CXCR2基因＋1235 C/T多态可能是中国汉族人群急性冠脉综合征发病的独立危险因子。     

P21WAF1基因单核苷酸多态性和东北地区HPV相关宫颈癌的关系

研究P21WAF1基因单核苷酸多态性与中国东北地区人群HPV阳性宫颈癌风险的关系.以聚合酶链反应-直接测序的方法分析了340例宫颈癌患者标本P21WAF1基因rs1801270和rs3176352多态性,比较不同基因型与宫颈癌风险的关系.rs3176352多态在宫颈癌患者中的分布和正常对照组差异不显著,与宫颈癌风险无关.rs1801270多态在宫颈癌患者中的分布和正常对照组差异显著,宫颈癌患者中C等位基因频率、CC和AC基因型频率明显高于正常对照组(P＜0.05);与携带A等位基因者比较,携带C等位基因者罹患宫颈癌的风险增加1.366 7倍(95％ CI:1.1121～1.6792).P21WAF1基因rs1801270多态C等位基因是东北地区人群宫颈癌遗传易感因素.     

苏姜猪OLR1基因多态性及其与肉质性状的关联分析

探讨OLR1基因在苏姜猪群内的遗传多态性,以及该基因多态对苏姜猪猪肉质性状的影响。采用PCR-RFLP技术检测OLR1基因在苏姜猪试验群体中的PstⅠ酶切遗传多态性,运用单因素方差分析方法分析了该多态位点对苏姜猪肉质性状的影响。结果发现,苏姜猪试验群体OLR1基因内含子5区域内发现一个PstⅠ酶切多态性,检测到CC、CD和DD三种基因型,多态信息含量呈现中度多态性。CC型与DD型个体的肌肉失水率、大理石纹间的差异达到显著水平(P<0.05),CD型个体用色差仪测得的b值显著高于DD型(P<0.05)。因此,检测到的OLR1基因PCR-RFLP-PstⅠ多态性与大理石纹等肉质性状存在着显著的相关关系,可以作为肉质性状候选基因在苏姜猪的持续选育中加以应用。     

rmlA 基因缺失影响禽致病性大肠杆菌的生物被膜形成

【目的】构建禽致病性大肠杆菌(Avian pathogenic Escherichia coli,APEC)rmlA基因缺失株,研究该缺失株的生物学特性。【方法】利用Red重组系统构建rmlA缺失株;比较野生株与缺失株在生长特性、运动性和生物被膜形成能力等方面的差异;运用Real-time PCR技术,比较野生株与rmlA缺失株对APEC部分毒力基因转录的影响。【结果】rmlA缺失株,不影响APEC的生长和运动特性,但生物被膜形成能力显著增强,且使luxS、irp2基因转录水平分别上调2倍、1.8倍,iucD、fyuA则下调25倍。【结论】APEC的rmlA基因可以影响禽致病性大肠杆菌的生物被膜形成能力及部分毒力基因的转录水平;而对APEC的生长、运动特性没有影响。     

NGX6基因单核苷酸多态及与鼻咽癌的相关性

NGX6基因是本研究室在鼻咽癌 9p最小共同缺失区内新克隆的鼻咽癌候选抑瘤基因。通过采用病例 对照研究方法 ,利用动态等位基因杂交 (DASH)技术对 10 5例鼻咽癌患者和 183例正常人NGX6基因的 2个单核苷酸多态 (SNP)进行了分型 ,经相关分析发现 ,位于NGX6基因上游调控区的SNPrs8792 84与鼻咽癌发病存在显著相关性 ,基因型CT和TT的相对危险度分别为 3.93和 2 .2 7。实验结果进一步支持了NGX6基因与鼻咽癌的发生发展可能存在密切关系 ,SNPrs8792 84由于处在NGX6基因上游调控区域 ,其多态类型可能在某种程度上影响NGX6基因的表达调控 ,从而与鼻咽癌发病相关     

NGX6基因单核苷酸多肽及与鼻咽癌的相关性

NGX6基因是本研究室在鼻咽癌9p最小共同缺失区内新克隆的鼻咽癌候选抑瘤基因,通过采用病例－对照研究方法,利用动态等位基因杂交（DASH）技术对105例鼻咽癌患者和183例正常人NGX6基因的2个单核苷酸多态（SNP）进行了分型,经相关分析发现,位于NGX6基因上游调控区的SNP rs879284与鼻咽癌发病存在显著相关性,基因型CT和TT的相对危险度分别为3．93和2．27,实验结果进一步支持了NGX6基因与鼻咽癌的发生发展可能存在密切关系,SNP rs879284由于处在NGX6基因上游调控区域,其多态类型可能在某种程度上影响NGX6基因的表达调控,从而与鼻咽癌发病相关。     

NEDD4L基因变异体与内蒙古地区蒙古族人群中高血压的相关分析

目的：探讨内蒙古地区蒙古族人群中NEDD4L基因多态性位点rs4149601（G／A）突变与高血压的相关性。方法：应用病例对照方法研究包头地区蒙古族高血压病个体308例及蒙古族血压正常个体454例。检测所有个体舒张压,收缩压。使用TaqManPCR技术进行rs4149601多态基因分型。结果：rs4149601多态基因型及等位基因分布在GG基因型、GA基因型、AA等位基因的频率在高血压组及对照组分别为54．7％,92．8％;11．4％及56．2％;71．4％,7．9％。rs4149601多态基因型及等位基因分布与对照组差异有显著性。应用多元logistic回归分析对性别、年龄进行校正后发现rs4149601多态基因与高血压病患病风险相关。结论：上皮细胞钠通道亚单位基因多态性（rs4149601）同内蒙古地区蒙古族人群高血压病发病有关。     

Porcine genomics delivers new tools and results: this little piggy did more than just go to market

The past decade has yielded new tools for pig geneticists and breeders thanks to the considerable developments resulting from efforts to map the pig genome. The pig genetic linkage map now has nearly 5000 loci including several hundred genes, microsatellites and amplified fragment length polymorphisms (AFLP) markers. Using tools that include somatic cell hybrid panels and radiation hybrid panels, the physical genetic map is also growing rapidly and has over 4000 genes and markers. Scientists using both exotic and commercial breeds for quantitative trait loci (QTL) scans and candidate gene analyses have identified a number of important chromosomal regions and individual genes associated with growth rate, leanness, feed intake, meat quality, litter size and disease resistance. Using marker-assisted selection (MAS) the commercial pig industry is actively incorporating these gene markers and traditional performance information to improve traits of economic importance in pig production. Researchers now have novel tools including pig gene arrays and advanced bioinformatics that are being exploited to find new candidate genes and to advance the understanding of gene function in the pig. Sequencing of the pig genome has been initiated and further sequencing is now being considered. Advances in pig genomics and directions for future research and the implications to both the pig industry and human health are reviewed.     

Detecting high-resolution polymorphisms in human coding loci by combining PCR and single-strand conformation polymorphism (SSCP) analysis.

A strategy is described that allows the development of polymorphic genetic markers to be characterized in individual genes. Segments of the 3' untranslated regions are amplified, and polymorphisms are detected by digestion with frequently cutting enzymes and with the detection of single-stranded conformation polymorphisms. This allows these genes, or DNA segments, to be placed on the linkage maps of human chromosomes. Polymorphisms in two genes have been identified using this approach. A HaeIII polymorphism was detected in the KIT proto-oncogene, physically assigned to chromosome 4q11-12. This polymorphism is linked to other chromosome 4p markers and is in linkage disequilibrium with a HindIII polymorphism previously described at this locus. We have also identified in the insulin-like growth factor1 receptor gene (IGF1R) a 2-bp deletion that is present at a frequency of .25 in the Caucasian population. Pedigree analysis with this insertion/deletion polymorphism placed the IGF1R gene at the end of the current linkage map of chromosome 15q, consistent with the physical assignment of 15q2526. Thus, polymorphisms in specific genes can be used to related the physical, genetic, and comparative maps of mammalian genomes and to simplify the testing of candidate genes for human diseases.     

Molecular genetics of atherosclerosis

Atherosclerosis is a complex multifocal arterial disease involving interactions of multiple genetic and environmental factors. Advances in techniques of molecular genetics have revealed that genetic polymorphisms significantly influence susceptibility to atherosclerotic vascular diseases. A large number of candidate genes, genetic polymorphisms and susceptibility loci associated with atherosclerotic diseases have been identified in recent years and their number is rapidly increasing. In this review we focus on some of the major candidate genes and genetic polymorphisms associated with human atherosclerotic vascular diseases.     

Multiplex SNP genotyping by MALDI-TOF mass spectrometry: Frequencies of 56 immune response gene SNPs in human populations

Single-nucleotide polymorphisms (SNPs) are the most common type of genetic polymorphisms. Despite the progress in sequencing and postgenomic technologies, targeted SNP genotyping continues to be in highest demand in the approach to human and medical genetics. In this work, we describe the application of multiple SNP genotyping by MALDI-TOF mass spectrometry for analysis of genetic diversity of immune response genes in human populations. It was shown that MALDI-TOF mass spectrometry is a rapid, accurate, and efficient method of medium-scale SNP genotyping. Allele frequencies of 56 SNPs in 41 genes implicated in the regulation of immune response were similar in four populations studied (Russians, Komi, Khanty, and Buryats). These populations had similar levels of genetic diversity and were clustered according to their geographic location. The cost efficiency of MALDI-TOF mass spectrometry was evaluated compared to real-time PCR technology.     

Genes and human elite athletic performance

Physical fitness is a complex phenotype influenced by a myriad of environmental and genetic factors, and variation in human physical performance and athletic ability has long been recognised as having a strong heritable component. Recently, the development of technology for rapid DNA sequencing and genotyping has allowed the identification of some of the individual genetic variations that contribute to athletic performance. This review will examine the evidence that has accumulated over the last three decades for a strong genetic influence on human physical performance, with an emphasis on two sets of physical traits, viz. cardiorespiratory and skeletal muscle function, which are particularly important for performance in a variety of sports. We will then review recent studies that have identified individual genetic variants associated with variation in these traits and the polymorphisms that have been directly associated with elite athlete status. Finally, we explore the scientific implications of our rapidly growing understanding of the genetic basis of variation in performance.     

Osteoporosis: A Silent Disease with Complex Genetic Contribution

Osteoporosis is the most common multifactorial metabolic bone disorder worldwide with a strong genetic component. In this review, the evidence for a genetic contribution to osteoporosis and related phenotypes is summarized alongside with methods used to identify osteoporosis susceptibility genes. The key biological pathways involved in the skeleton and bone development are discussed with a particular focus on master genes clustered in these pathways and their mode of action. Furthermore, the most studied single nucleotide polymorphisms(SNPs) analyzed for their importance as genetic markers of the disease are presented. New data generated by nextgeneration sequencing in conjunction with extensive meta-analyses should contribute to a better understanding of the genetic basis of osteoporosis and related phenotype variability. These data could be ultimately used for identifying at-risk patients for disease prevention by both controlling environmental factors and providing possible therapeutic targets.     

CRISPR/Cas9 genome editing demonstrates functionality of the autoimmunity-associated SNP rs12946510

Genome-wide association studies (GWAS) map genetic associations of complex traits with precision limited to a linkage disequilibrium group. To translate GWAS results into new understanding of disease mechanisms, individual causative polymorphisms and their target genes should be identified. CRISPR/Cas9 genome editing can be used to create isogenic cell lines bearing alternative genotypes of candidate single-nucleotide polymorphisms to test their causality and to reveal gene targets. An intergenic polymorphism rs12946510 is associated with multiple sclerosis, inflammatory bowel disease and asthma. We created sublines of the T-helper cell line bearing alternative genotypes of rs12946510 and showed that its risk (“T”) allele is associated with lower expression of IKZF3 and ORMDL3 genes and reduced cell activation. Our editing procedure can become an effective tool for discovering new genes involved in pathogenesis of complex diseases.     

Where in the genome are significant single nucleotide polymorphisms from genome-wide association studies located?

Recent technological progress has permitted the efficient performance of genome-wide association studies (GWAS) to map genetic variants associated with common diseases. Here, we analyzed 2,893 single nucleotide polymorphisms (SNPs) that have been identified in 593 published GWAS as associated with a disease phenotype with respect to their genomic location. In absolute numbers, most significant SNPs are located in intergenic regions and introns. When compared to their representation on the chips, there is essentially overrepresentation of nonsynonymous coding SNPs (nsSNPs), synonymous coding SNPs, and SNPs in untranscribed regions upstream of genes among the disease associated SNPs. A Gene Ontology term analysis showed that genes putatively causing a phenotype often code for membrane associated proteins or signal transduction genes.     

Genetic and genomic insights into the molecular basis of atherosclerosis

Atherosclerosis is a complex disease involving genetic and environmental risk factors, acting on their own or in synergy. Within the general population, polymorphisms within genes in lipid metabolism, inflammation, and thrombogenesis are probably responsible for the wide range of susceptibility to myocardial infarction, a fatal consequence of atherosclerosis. Genetic linkage studies have been carried out in both humans and mouse models to identify these polymorphisms. Approximately 40 quantitative trait loci for atherosclerotic disease have been found in humans, and approximately 30 in mice. Recently, genome-wide association studies have been used to identify atherosclerosis-susceptibility polymorphisms. Although discovering new atherosclerosis genes through these approaches remains challenging, the pace at which these polymorphisms are being found is accelerating due to rapidly improving bioinformatics resources and biotechnologies. The outcome of these efforts will not only unveil the molecular basis of atherosclerosis but also facilitate the discovery of drug targets and individualized medication against the disease.