Integration of Maximum Likelihood Paternity Analysis with Quantitative Genetics

最大似然亲子关系分析与定量遗传学的整合

• 批准号: 9707722
• 负责人: Thomas Meagher
• 金额: $ 12万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-15 至 2000-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9707722&HistoricalAwards=false
• 关键词: Integration; Maximum; Likelihood; Paternity; Analysis

9707722 Meagher Paternity analysis and quantitative genetic analysis both have proven to be effective tools for studying the evolutionary dynamics of contemporary populations. A large number of recent studies have incorporated these methodologies on one level or another. One of the ongoing problems in applying quantitative genetic approaches, however, lies in obtaining precise estimates of quantitative genetic parameters, such as additive genetic variation and genetic correlations. Such estimates have been obtained for a limited number of species, primarily short-lived organisms that can be readily bred under controlled conditions and with crossing designs over two or more generations. A short-cut often used for long-lived organisms is to make measurements on field-collected progeny, typically grouped into maternal sibships. Because investigators do not usually know whether individuals within maternal sibships are related as half-sibs (different fathers) or full-sibs (the same father), such maternal sibships provide estimates that are confounded with maternal and dominance effects to an unmeasured and unknown degree. These estimates are thus only gross approximations to additive genetic variance values. Statistical advances in genetic-marker based paternity analysis over the past decade have made it feasible to determine the underlying paternal sibship structure of field-collected progeny in considerable detail. The goal of this project is to integrate maximum likelihood methods for paternity analysis with maximum likelihood estimation of quantitative genetic parameters. In this way, more complete information about genealogical relationships within field-collected progeny can be brought to bear, and evolutionary studies of natural populations substantively enhanced.

9707722 Meagher亲权分析和数量遗传分析都被证明是研究当代种群进化动态的有效工具。 最近的大量研究在一个或另一个层面上采用了这些方法。 然而，应用数量遗传方法的一个持续问题在于获得数量遗传参数的精确估计，例如加性遗传变异和遗传相关。 这种估计数是从有限的物种中获得的，主要是寿命短的生物，它们可以在受控条件下通过两代或两代以上的杂交设计很容易地繁殖。 一个通常用于长寿生物的捷径是对野外收集的后代进行测量，通常分为母系兄弟姐妹。 由于研究者通常不知道是否在母系同胞内的个体是半同胞（不同的父亲）或全同胞（同一个父亲），这样的母系同胞提供的估计是混淆与母亲和显性效应到一个无法测量和未知的程度。 因此，这些估计值只是加性遗传方差值的粗略近似值。 在过去的十年中，基于遗传标记的亲子关系分析的统计学进展已经使得相当详细地确定实地收集的后代的潜在父系亲缘关系结构变得可行。 本计画的目标是整合最大似然法进行亲子鉴定分析，并以最大似然法估计定量遗传参数。通过这种方式，更完整的信息，系谱关系内的实地收集的后代可以承担，和进化研究的自然种群大大提高。