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SAMPLING MODELS AND METHODS FOR COMPLEX GENETIC DISEASES

复杂遗传疾病的采样模型和方法

基本信息

批准号：
6680904
负责人：
VERONICA J. VIELAND
金额：
$ 29.4万
依托单位：
UNIVERSITY OF IOWA
依托单位国家：
美国
项目类别：
财政年份：
1994
资助国家：
美国
起止时间：
1994-09-30 至 2004-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6680904
关键词：
autism genetic disorder human data linkage mapping mathematical model method development model design /development panic disorder siblings statistics /biometry

项目摘要

DESCRIPTION (Adapted from investigator's abstract): This is a competitive renewal application. The original proposal developed statistical methods for addressing sampling issues arising in human genetics research. The current proposal extends this work by developing methods to handle sampling differences across genetic linkage studies. Discovery of specific genetic influences on the development of complex disorders in humans can facilitate early diagnosis and prevention, and broaden understanding of the contributions of both nature and nurture to the development of illness. In recent years, increased interest in complex disorders has fueled rapid development of complex investigative techniques, which in principle makes it possible to map genes of even small to moderate effect. However, a dearth of methods for what is sometimes called 'meta-analysis,' or the mathematically rigorous evaluation of the overall statistical evidence based on multiple sets of genetic data, has made it extremely difficult in practice to interpret the aggregate results of even the most sophisticated data analyses. The aim of this proposal is to develop and evaluate mathematically rigorous methods for representing the strength of the genetic evidence based on multiple sets of data, where the data are inherently heterogeneous. We propose a novel approach to this problem, which we call sequential Bayesian. This approach has conceptual and computational advantages over existing alternatives, and offers a fully general way to handle differences across data sets. The new approach will be thoroughly developed and evaluated by comparison with existing methods, based on both analytic work and simulations studies. The objective will be to produce a comprehensive set of guidelines for investigators interested in analyzing multiple sets of genetic data. The project will also serve as a critical adjunct to ongoing studies of autistic disorder and panic disorder, for which the question of how to interpret accumulated genetic linkage evidence, is increasingly urgent.

描述（改编自研究者摘要）：这是一个竞争性的

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

The incorporation of prior genomic information does not necessarily improve the performance of Bayesian linkage methods: an example involving sex-specific recombination and the two-point PPL.

先前基因组信息的合并并不一定会提高贝叶斯连锁方法的性能：涉及性别特异性重组和两点 PPL 的示例。

DOI：
10.1159/000090543
发表时间：
2005
期刊：
Human heredity.
影响因子：
0
作者：
Logue,MarkW;Vieland,VeronicaJ
通讯作者：
Vieland,VeronicaJ

Performance comparison of two-point linkage methods using microsatellite markers flanking known disease locations.

使用已知疾病位置侧翼的微卫星标记对两点连锁方法进行性能比较。

DOI：
10.1186/1471-2156-6-s1-s141
发表时间：
2005
期刊：
BMC genetics
影响因子：
2.9
作者：
Logue,MarkW;George,AndrewW;Spence,MAnne;Vieland,VeronicaJ
通讯作者：
Vieland,VeronicaJ

Calculation of multipoint likelihoods using flanking marker data: a simulation study.

使用侧翼标记数据计算多点可能性：模拟研究。

DOI：
10.1186/1471-2156-6-s1-s44
发表时间：
2005
期刊：
BMC genetics
影响因子：
2.9
作者：
George,AndrewW;Mangin,LaVonneA;Bartlett,ChristopherW;Logue,MarkW;Segre,AlbertoM;Vieland,VeronicaJ
通讯作者：
Vieland,VeronicaJ

The consistency of the posterior probability of linkage.

连锁后验概率的一致性。