STOCHASTIC PROCESSES IN POPULATION GENETICS

群体遗传学中的随机过程

• 批准号: 3270274
• 负责人: Warren J. EWENS
• 金额: $ 4.05万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 1974
• 资助国家: 美国
• 起止时间: 1974-04-01 至 1995-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3270274
• 关键词: computer simulation; disease /disorder proneness /risk; endonuclease; genetic models; genotype; heterozygote; human population genetics; in situ hybridization; insulin dependent diabetes mellitus; linkage mapping; major histocompatibility complex; mathematical model; natural selections; restriction fragment length polymorphism; statistics /biometry

The long-term objectives and specific aims are as follows: (i) To extend the ascertainment-assumption-free methodology previously developed to cover two or more variables, in order to handle problems arising in studies of correlation and regression, and also to find appropriate procedures when we wish to find properties of one quantity (e.g. blood pressure) using data derived from an ascertainment scheme for another quantity (e.g. serum cholesterol level); (ii) To apply the zmax procedure recently derived to local genes through the process of in situ hybridization; (iii) To conduct large-scale computer-assisted research on properties of the process of genome mapping using "anchored" clones, when anchors and clones are not randomly scattered on the genome; (iv) To derive an objective (chi-square) testing procedure derived from the concept of the haplotype relative risk, to test for linkage between a marker and a candidate disease locus; (v) To generalize the recently formulated interpretation of the Fundamental Theorem of Natural Selection to cases involving two sexes, geographical structure and fitness differences arising through fertility (rather than viability) differentials. Since the proposed research is largely theoretical rather than experimental, there is no experimental design in the usual laboratory sense. Computing of both mathematical functions and simulated data will be used throughout.

长期目标和具体目标如下： (i)为了扩展先前的无确定性假设方法， 为了处理问题， 在相关性和回归研究中出现，并发现 当我们希望找到一个量的性质时， (e.g.血压），使用从确定方案获得的数据， 另一个量（例如血清胆固醇水平）; (ii)为了将最近导出的zmax程序应用于局部基因， 原位杂交技术; (iii)进行大规模的计算机辅助研究， 使用“锚定”克隆的基因组作图过程，当锚定和 克隆不是随机散布在基因组上; (iv)为了推导出客观（卡方）检验程序， 单倍型相对风险的概念，以测试之间的联系， 标记和候选疾病基因座; (v)为了推广最近对 自然选择基本定理涉及两种性别的情况下， 生育率引起的地理结构和适应性差异 （而不是生存能力）差异。 由于这项研究主要是理论性的， 实验性的，在通常的实验室中没有实验设计 道理啊 数学函数和模拟数据的计算将是 在整个使用。