發(fā)布時(shí)間：2018-05-08 23:27

  本文選題：人類群體遺傳學(xué) + 人類群體遺傳空間結(jié)構(gòu)�。� 參考：《山東大學(xué)》2005年博士論文

【摘要】：人類群體遺傳結(jié)構(gòu)是指人群中所有個(gè)體的全部基因座的基因頻率。目前,研究人類群體遺傳結(jié)構(gòu)的空間結(jié)構(gòu)模式及其變化規(guī)律的定量分析方法,在分析群體遺傳結(jié)構(gòu)的空間特征、空間估計(jì)、群體空間關(guān)系和基因流動(dòng)軌跡、遺傳界線的識(shí)別、遺傳結(jié)構(gòu)空間成分的定量剖分等方面均存在局限性。為此,本研究遵循人類群體遺傳學(xué)原理,將地質(zhì)統(tǒng)計(jì)學(xué)、數(shù)學(xué)生態(tài)學(xué)、混沌分形理論、圖論、分子遺傳學(xué)等學(xué)科理論方法相結(jié)合,研究了人類群體遺傳空間結(jié)構(gòu)異質(zhì)性(即復(fù)雜性和變異性)的定量分析方法,旨在完善人類群體遺傳空間結(jié)構(gòu)定量分析方法體系。全文由以下六章內(nèi)容組成: 第一章 基因選擇與資料收集:根據(jù)不同類型基因座的突變、進(jìn)化機(jī)制和收集的群體遺傳學(xué)資料,選擇了趨化因子CCR2、趨化因子受體SDF-1、ABO、HLA—A,B、TPOX、FGA、CSF1PO、D7S820、THO1和VWA基因座的多態(tài)性資料作為本研究的基本數(shù)據(jù),構(gòu)建了各基因座的空間數(shù)據(jù)庫。 第二章 人類群體遺傳結(jié)構(gòu)的理論模型和常用測度指標(biāo):簡介了人類群體遺傳結(jié)構(gòu)的有關(guān)理論模型(島嶼模型、步石模型和距離隔離模型)和常用測度指標(biāo)(基因頻率及其方差協(xié)方差、雜合度和基因多樣性、遺傳分化系數(shù)和固定指數(shù)、遺傳距離),以便于理解群體遺傳結(jié)構(gòu)的有關(guān)概念。 第三章 人類群體遺傳空間結(jié)構(gòu)分析的經(jīng)典多元統(tǒng)計(jì)模型及其改進(jìn):從分析基因頻率矩陣結(jié)構(gòu)特點(diǎn)入手,探討了應(yīng)用經(jīng)典多元統(tǒng)計(jì)模型分析群體遺傳空間結(jié)構(gòu)時(shí)所存在的問題及其改進(jìn)方法:①針對基因頻率矩陣的“閉合”特點(diǎn),提出了對數(shù)比非線性多元分析方法;②通過對提取基因頻率矩陣主成分方法的比較,證明均值化和中心化協(xié)方差陣是提取基因頻率矩陣主成分的有效方法;③利用主成分特征根的權(quán)重性和特征向量對群體遺傳結(jié)構(gòu)變異性作用方向的信息,定義了主成分綜合遺傳效應(yīng)測度(SPC);④將圖論和多元統(tǒng)計(jì)方法有機(jī)結(jié)合,構(gòu)建了既可反映群體遺傳空間結(jié)構(gòu)特性,又可揭示群體問遺傳學(xué)聯(lián)系的“圖論多元排序分析”模型;⑤通過分析群體遺傳空間結(jié)構(gòu)對應(yīng)分析中“蹄型效應(yīng)”產(chǎn)生的原因,提出了其校正方法;⑥構(gòu)建了人類群體遺傳空間結(jié)構(gòu)的PPG Biplot模型,其幾何性質(zhì)和特征參數(shù)反映了豐富的群體遺傳學(xué)含義。
[Abstract]:The genetic structure of human population refers to the gene frequency of all loci of all individuals in the population. At present, the quantitative analysis method to study the spatial structure pattern and its changing law of human population genetic structure is used to analyze the spatial characteristics of population genetic structure, the spatial estimation, the spatial relationship of population, the locus of gene flow, and the identification of genetic boundary. There are some limitations in the quantification of spatial components of genetic structures. Therefore, following the principle of human population genetics, this study combines the theories of geostatistics, mathematical ecology, chaos fractal theory, graph theory, molecular genetics and so on. The quantitative analysis method of genetic spatial structure heterogeneity (i.e. complexity and variability) of human population is studied in order to perfect the quantitative analysis system of human population genetic spatial structure. The full text consists of the following six chapters: Chapter I Gene selection and data Collection: based on mutations in different types of loci, evolutionary mechanisms and collected population genetic data, The polymorphism data of chemokine CCR2, SDF-1ABOOG HLA-APOXFGAA, CSF1POD7S820THO1 and VWA loci were selected as the basic data of this study, and the spatial database of each locus was constructed. The second chapter is the theoretical model of the genetic structure of human population and the commonly used measure index: the related theoretical models of the genetic structure of human population (island model, island model) are briefly introduced. Stepstone model and distance isolation model) and commonly used measures (gene frequency and variance covariance, heterozygosity and gene diversity, genetic differentiation coefficient and fixed index, genetic distance), in order to understand the population genetic structure related concepts. In chapter 3, the classical multivariate statistical model of genetic spatial structure analysis of human population and its improvement are introduced. This paper discusses the problems existing in the analysis of population genetic spatial structure using classical multivariate statistical model and its improved method: 1. Aiming at the "closed" characteristics of gene frequency matrix, a logarithmic nonlinear multivariate analysis method is proposed. 2Compared with the method of extracting the principal component of gene frequency matrix, it is proved that mean value and centralization covariance matrix are effective methods to extract the principal component of gene frequency matrix; (3) based on the information of the weight of the principal component characteristic root and the effect of the characteristic vector on the population genetic structure variability, the paper defines the principal component comprehensive genetic effect measure and combines the graph theory with the multivariate statistical method. The "graph theory multivariate sequencing analysis" model, which not only reflects the characteristics of population genetic spatial structure, but also reveals the causes of "hoof effect" in population genetic spatial structure correspondence analysis, is constructed. The PPG Biplot model of the genetic spatial structure of human population is constructed by its correction method. The geometric properties and characteristic parameters of the model reflect the rich meaning of population genetics.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2005
【分類號(hào)】：Q987

【引證文獻(xiàn)】

相關(guān)期刊論文 前2條

1 桂宏勝;楊麗;李生斌;;群體遺傳學(xué)研究中STR數(shù)據(jù)的統(tǒng)計(jì)方法應(yīng)用[J];遺傳;2007年12期

2 劉云霞;姜世聞;劉言訓(xùn);王瑞;薛付忠;;基于潛變量與空間統(tǒng)計(jì)理論的耐多藥結(jié)核病空間流行病學(xué)模型研究[J];中國衛(wèi)生統(tǒng)計(jì);2011年06期

相關(guān)博士學(xué)位論文 前1條

1 劉云霞;耐多藥結(jié)核病影響因素的生態(tài)學(xué)研究[D];山東大學(xué);2011年

相關(guān)碩士學(xué)位論文 前4條

1 唐芳;疾病空間結(jié)構(gòu)異質(zhì)性界限的識(shí)別方法及其應(yīng)用研究[D];山東大學(xué);2007年

2 李建華;山東省平邑縣、莒南縣腎綜合征出血熱流行病學(xué)研究[D];山東大學(xué);2008年

3 成玉;中國HLA-A、B位點(diǎn)限制性多表位疫苗設(shè)計(jì)的理論免疫應(yīng)答率預(yù)測系統(tǒng)研究[D];山東大學(xué);2008年

4 尹方方;基于STR和HLA多態(tài)性的中國人群空間遺傳結(jié)構(gòu)研究[D];山東大學(xué);2010年

，

本文編號(hào)：1863566