Introduction of a standardized "paternity index" for the statistical evaluation of blood group findings in paternity testing

The introduction of a standardized paternity index (PI) for the statistical evaluation of blood group findings in cases of disputed paternity is proposed and explained. By using the PI $\text{X}\text{Y}$ as parameter, it is not necessary to give the information of the probability of paternity in percent. The PI includes the full information of the blood group findings. In addition to that, by using the suggested standardization based on the probabilities of error according to Schulte Mönting and Walter the test volume is also taken into account. The interpretation of the mathematical result is given by verbal predicates, the limitations of which are orientated by the verbal predicates for the probabilities of error according to Schulte Mönting and Walter, published by us elsewhere. Besides the essential fact that the test volume is taken into account, the most important advantage of this procedure is that the mathematical result is involved in the court decision only by the PI (which is free of any valuation) and its verbal predicate and not by sometimes relatively high percentages, which may be misunderstood by laymen.     

用α-珠旦白-3’HVR探针研究DNA指纹

用α-珠蛋白-3’HVR探针,经Southern印迹法,对100名不相关个体及4个家系的32名相关个体的DNA指纹进行了检测,所产生的DNA图谱具有高度的个体特异性,在被测的所有个体中无一相同。经统计学计算表明,任意两个个体DNA指纹图重合率为10~(-11)。家系分析毒明,DNA片段严格按照孟德尔方式遗传。该探针的应用,将在法医学亲子鉴定和个人同一认定中发挥重要的作用。     

Focus of attention and locus of control as moderators of fraternal justice effects

The influence of a colleague's performance outcomes on individual's own subsequent performance was investigated. Internal and external locus of control subjects were given information about another person's outcome which indicated two things about organizational standards: how easy or difficult they were to meet and how stringently they were applied. An attentional focus manipulation was employed to influence how subjects used this information. Half of the subjects received a group-focus manipulation and the other half a self-focus one. We proposed that perceived difficulty of standards and stringency of application would interact with attentional focus and subject locus of control to alter subject's own subsequent performances. This expectation was supported by the data. Theoretical and applied implications of this result are discussed.     

The determination of cocaine in hair: a review

The explosion of literature related to the analysis of hair for cocaine and its products is reviewed. In the commonly accepted applications of hair testing for cocaine, those related to criminal or civil investigations and pharmacotoxicologic studies occupy most of the relevant published work. This review uses detailed, ‘binary’ (yes/no) tables to demonstrate trends in the literature, and allows researchers and caseworkers quick access to the literature most important for answering a variety of questions.     

日本血吸虫Sj314C10基因的获得及其DNA疫苗的构建

利用快速cDNA末端扩增(RACE)技术结合“电子cDNA文库”筛选法,对日本血吸虫成虫期特异表达基因EST片段的全长序列进行了扩增,获得了一含完整开放性阅读框(ORF)的基因序列(GenBank中的登录号为AY847290)。经对该基因序列进行分析,表明其为日本血吸虫的一新基因,命名为Sj314C10。将该基因的蛋白编码区克隆到真核表达载体pcDNA3 中,把构建好的重组质粒转化到大肠埃希氏菌DH5α中培养;筛选阳性克隆进行序列鉴定,经分析表明与预期的结果一致。成功地构建了该基因的DNA疫苗,为该基因作为疫苗候选分子的研究奠定了基础。     

陈旧骨骼DNA提取

目的寻找从陈旧骨骼中提取DNA的有效方法。方法运用传统的有机法结合Microcon100纯化柱提取骨骼DNA。结果用常规荧光标记复合STR基因分型法可对提取到的陈旧骨骼DNA进行成功分析。结论有机法结合Micrcon100纯化柱提取陈旧骨骼DNA法可有效应用于实际检案。     

降解生物检材遗传标记检测的研究进展

降解生物检材遗传标记的检测一直是法医学实践和科研的难点。虽然PCR-STR分析技术能在一定程度上检测降解生物检材的遗传标记,但是对于某些高度降解的生物检材如骨骼、牙齿等的PCR-STR分型仍旧十分困难,存在不稳定性和分型异常现象。本文就近几年来PCR-STR分型技术在降解生物检材的法医实践中出现的问题和解决方法作一综述。     

两种DNA提取法对不同色泽肋软骨STR分型成功率的比较

目的比较两种DNA提取法对不同色泽肋软骨的DNASTR分型结果的影响。方法利用Chelex-100法和酚-氯仿法,分别对30例不同色泽的腐败尸体肋软骨进行DNA提取,STR复合扩增,ABI3100型基因分析仪对扩增产物进行检测。结果用酚-氯仿法提取的30例腐败尸体肋软骨,均检测到全部STR基因座的等位基因型。用Chelex-100法提取的肋软骨中,22例(11例白色、8例淡黄色、3例黄色)检测出全部STR基因座的等位基因型;7例(3例黄色、4例黄褐色)检测出部分STR基因座的等位基因型;1例黑灰色的腐败尸体肋软骨,未检测出STR基因座的等位基因型。结论根据肋软骨的色泽,选择适宜的DNA提取方法。对于颜色较深的肋软骨,用酚-氯仿法进行DNA提取有助于提高其STR基因座的检出率。     

单亲案亲权鉴定结果判定策略

目的探讨用STR基因座进行单亲鉴定出现矛盾基因座时下结论的策略。方法根据基因频率和遗传规律,推导单亲案亲权鉴定时的非父排除率。根据平均单亲非父排除率和平均突变率,用二项分布公式分别计算出现不同数目矛盾基因座时真父和假父的概率和似然率(亲权指数)。结果对STR共显性基因座,其单亲非父排除率的计算公式为:PEM=∑i=n1pi2(1-pi)2 ∑i相似文献