期刊
THEORETICAL POPULATION BIOLOGY
卷 60, 期 3, 页码 227-237出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1006/tpbi.2001.1543
关键词
-
Case-control tests for association are an important tool for mapping complex-trait genes. But population structure can invalidate this approach, leading to apparent associations at markers that are unlinked to disease loci. Family-based tests of association can avoid this problem, but such studies are often more expensive and in some cases-particularly for late-onset diseases-are impractical. In this review article we describe a series of approaches published over the past 2 years which use multilocus genotype data to enable valid case-control tests of association, even in the presence of population structure. These tests can be classified into two categories. Genomic control methods use the independent marker loci to adjust the distribution of a standard test statistic, while structured association methods infer the details of population structure en route to testing for association. We discuss the statistical issues involved in the different approaches and present results from simulations comparing the relative performance of the methods under a range of models. (C) 2001 Elsevier Science.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据