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基于家系的连锁与关联分析方法。

Family-based methods for linkage and association analysis.

作者信息

Laird Nan M, Lange Christoph

机构信息

Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.

出版信息

Adv Genet. 2008;60:219-52. doi: 10.1016/S0065-2660(07)00410-5.

Abstract

Traditional epidemiological study concepts such as case-control or cohort designs can be used in the design of genetic association studies, giving them a prominent role in genetic association analysis. A different class of designs based on related individuals, typically families, uses the concept of Mendelian transmission to achieve design-independent randomization, which permits the testing of linkage and association. Family-based designs require specialized analytic methods but they have distinct advantages: They are robust to confounding and variance inflation, which can arise in standard designs in the presence of population substructure; they test for both linkage and association; and they offer a natural solution to the multiple comparison problem. This chapter focuses on family-based designs. We describe some basic study designs as well as general approaches to analysis for qualitative, quantitative, and complex traits. Finally, we review available software.

摘要

传统的流行病学研究概念,如病例对照或队列设计,可用于基因关联研究的设计,使其在基因关联分析中发挥重要作用。另一类基于相关个体(通常是家庭)的设计,利用孟德尔遗传传递的概念来实现与设计无关的随机化,从而能够进行连锁和关联检验。基于家庭的设计需要专门的分析方法,但它们具有明显的优势:它们对混杂和方差膨胀具有稳健性,而在存在人群亚结构的情况下,标准设计中可能会出现这些问题;它们同时检验连锁和关联;并且它们为多重比较问题提供了自然的解决方案。本章重点介绍基于家庭的设计。我们描述了一些基本的研究设计以及针对定性、定量和复杂性状的一般分析方法。最后,我们回顾了可用的软件。

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